# FewerJobs export - 100 curated jobs
Generated: 2026-08-27T01:04:00.122Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Tesseract
- **quality_floor**: all
- **match_401k_strict**: true
- **parental_strict**: true
- **non_birth_strict**: true
- **pto_strict**: true
- **include_older**: false
- **apply_url_verified**: false
- **page**: 1
- **per_page**: 100
- **sort**: relevance

## Jobs
### Software Engineer, Backend - Tessera Labs
- Location: San Jose Office (HQ), San Jose, California, United States, New York City Office, Seattle Office, San Francisco Office (unspecified)
- Salary: Not disclosed
- Posted: 2025-12-20
- Apply: https://jobs.ashbyhq.com/tessera-labs/1fff7515-d5ae-4e89-9cf3-75c8e542f751
- Excerpt: Software Engineer, Backend San Jose Office (HQ), San Jose, California, United States, New York City Office, Seattle Office, San Francisco Office At Tessera Labs, we're revolutionizing business process automation with cutting-edge AI technology. Backed by Foundation Capital and led by a world-class founding team, we're building a high-impact engineering group to bring AI-powered automation to the enterprise world. Our multi-agent AI systems transform complex business workflows-eliminating inefficiencies, optimizing operations, and enabling seamless integrations across platforms like SAP, Salesforce, and Workday. We move fast, solve hard problems, and build at the bleeding edge of AI. About the Role We're looking for a Backend Engineer (Mid-Level) who thrives in a fast-paced, high-ownership startup environment. You'll help design, build, and maintain the backend systems that power Tessera's AI automation platform - including scalable APIs, data pipelines, and integrations with enterprise systems. This role is hands-on and ideal for someone who enjoys building distributed systems, solving challenging backend problems, and contributing to architectural discussions in a collaborative, fast-moving team. Key Responsibilities Core Development - Design, develop, and maintain RESTful APIs and backend services using Python (FastAPI, SQLAlchemy). - Build reliable microservices that support data processing, automation, and AI system integrations. - Implement and optimize database schemas, queries, and caching for performance and scalability. - Contribute to data pipelines and synchronization services across enterprise integrations. AI & Systems Integration - Connect backend services with AI model servers, vector databases, and automation workflows. - Enable smooth data exchange between AI agents and enterprise systems like Salesforce,

### Join our Talent Community! - Tesseract
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2022-05-03
- Apply: https://job-boards.greenhouse.io/tesseract/jobs/5108803003
- Excerpt: Join our Talent Community! Remote Don't see the role you're looking for? Not ready to apply, but want to share your details for future opportunities? Interested in a future internship? We'd love to hear from you! Fill out this brief application to join our talent community. We'll retain your application for future consideration and a member of our team may reach out should your experience align with a future opportunity.

### Sr. Technical Recruiter - Contract - Tessera Labs
- Location: Remote in the U.S., Remote, United States, San Jose Office (HQ) (remote)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://jobs.ashbyhq.com/tessera-labs/84b9370a-b0e5-447d-9ebc-8e49b3e6a1b8
- Excerpt: Sr. Technical Recruiter - Contract Remote in the U.S., Remote, United States, San Jose Office (HQ) Our ideal candidate is located in the San Francisco Bay Area, while other locations are also considered. About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and with a recent $60M Series A round led by Andreessen Horowitz, we build multi-agent AI systems that can automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission : Bring real AI automation to the enterprise - with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI. Tessera Labs is an AI-driven technology company scaling rapidly-and we're hiring a Contract Senior Technical Recruiter to own Engineering hiring end to end. This role is perfect for someone who thrives in startup environments, loves full-cycle recruiting, and knows how to partner with hiring managers to deliver top talent in competitive tech markets. What You'll Do : - Own full-cycle recruiting for Engineering (Forward Deployed Engineers "FDE", Technical Project Managers, Machine Learning Engineers, Data Engineers, Cloud Infrastructure, Sales Enablement, Platform, Frontend and Backend) - Partner closely with hiring managers to define hiring needs and priorities - Source, engage, and close high-quality candidates in tech and AI markets - Manage pipelines, interviews, offers, and candidate experience - Attend local recruiting events for in-person sourcing - Planning of in-house recruiting events - Use data and insights

### Forward-Deployed Engineer - Tessera Labs
- Location: New York City Office, New York City, New York, United States, San Francisco Office, San Jose Office (hybrid)
- Salary: Not disclosed
- Posted: 2026-04-06
- Apply: https://jobs.ashbyhq.com/tessera-labs/5fd4b128-180a-4ef0-988e-90139766323e
- Excerpt: Forward-Deployed Engineer New York City Office, New York City, New York, United States, San Francisco Office, San Jose Office Office Locations: Union Square, NYC (Hybrid); San Francisco (Hybrid); San José HQ (Hybrid) Remote work: Tessera is a remote company. However, FDEs must have a home base at one of our office locations. Travel: Required for customer engagements, with a wide variance per customer, of up to 50% Deployment at Customer Site: Up to 2-3 days a week at customer site depending on customer and phase of engagement Relocation stipend: Provided About Tessera Labs Tessera Labs has raised a 60M Series A led by Andreessen Horowitz to solve a class of problem that has never been attempted: software integration as software. Our AI platform, Tessera Mosaic, is deployed across the systems of record of the world's largest corporations, automating the most complex manual business workflows with superhuman quality and speed. Tessera deploys frontier AI agents across SAP, Oracle, Salesforce, Workday, ServiceNow, and others, disrupting the business transformation industry previously monopolized by System Integrators (SIs). Tessera is deployed at multibillion dollar companies driving various initiatives, including: 1) enterprise ERP migrations (these range from 8 to 9 figures in cost over multiple years) 2) post-M&A integrations; 3) multi-ERP intelligence-or, deploying the centralized brain for all system-of-record operations 4) New code and application development for complex, multi-ERP systems Role Summary As a Forward-Deployed Engineer (FDE) at Tessera, you will be driving how global enterprises deploy AI at scale. You will own our most strategic

### Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform - Tessera Labs
- Location: San Francisco Office, San Francisco, California, United States, New York City Office (remote)
- Salary: Not disclosed
- Posted: 2026-03-05
- Apply: https://jobs.ashbyhq.com/tessera-labs/560c1ab4-18c7-4937-add2-87d2c3a6308d
- Excerpt: Senior Data Engineer – ERP Data Harmonization & Enterprise Data Platform San Francisco Office, San Francisco, California, United States, New York City Office Location : San Jose, CA or New York City Remote : Considered; travel required About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission is to bring real AI automation to the enterprise-delivering speed, precision, and measurable impact. We operate with extreme ownership, move quickly, and build at the frontier of applied AI. Role Summary We are seeking a Senior Data Engineer to design and build scalable data solutions that harmonize enterprise data across multiple ERP ecosystems. This role focuses on integrating and standardizing data from Sage ERP , Baan / Infor LN , Oracle ERP , SaaS ERP platforms (such as NetSuite), and other enterprise systems into unified data models. The engineer will collaborate closely with ERP functional teams, Functional Data Experts (FDEs), and product engineers to translate complex business logic into robust data transformation pipelines and canonical enterprise data models. This role requires strong experience in SQL, Python, enterprise data modeling, and ERP data structures, combined with the ability to solve complex cross-system data inconsistencies and harmonization challenges. Why This Role Matters Enterprise organizations often operate across multiple ERP systems and business platforms, each with different schemas,

### Multimodal Spatial Generative AI Researcher - Dolby Laboratories
- Location: Atlanta, Georgia,United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://dolby.eightfold.ai/careers/job/29415215
- Excerpt: Multimodal Spatial Generative AI Researcher Atlanta, Georgia,United States

### Geospatial Data Steward - Bayer
- Location: Bangalore,Karnataka,India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://talent.bayer.com/careers/job/562949977540080
- Excerpt: Geospatial Data Steward Bangalore,Karnataka,India

### Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon - Marsh McLennan
- Location: Lisbon - Antonio (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://mmc.wd1.myworkdayjobs.com/MMC/job/Lisbon---Antonio/Oliver-Wyman---Machine-Learning-Engineer--Generative-AI---Unstructured-Data---Lisbon_R_355039-1
- Excerpt: Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon Lisbon - Antonio posted: Posted Yesterday

### Clincial Data Engineer DMOI - Bayer
- Location: Barcelona,Cataluña,Spain (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://talent.bayer.com/careers/job/562949966620058
- Excerpt: Clincial Data Engineer DMOI Barcelona,Cataluña,Spain

### UX Researcher - Speck
- Location: Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-20
- Apply: https://job-boards.greenhouse.io/glance/jobs/7733887
- Excerpt: UX Researcher Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. The Foresight & Behavioral Insights Unit exists to decode

### Machine Learning Engineer 3D Geometry/ Multi-Modal - Autodesk
- Location: EMEA - United Kingdom - London - Agar St (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://autodesk.wd1.myworkdayjobs.com/Ext/job/EMEA---United-Kingdom---London---Agar-St/Machine-Learning-Engineer-3D-Geometry--Multi-Modal_25WD93749-1
- Excerpt: Machine Learning Engineer 3D Geometry/ Multi-Modal EMEA - United Kingdom - London - Agar St posted: Posted 30+ Days Ago

### Fabric SOC Architect - TensTorrent
- Location: United States (unspecified)
- Salary: $100K-$500K
- Posted: 2025-09-11
- Apply: https://job-boards.greenhouse.io/tenstorrent/jobs/4872282007
- Excerpt: Fabric SOC Architect United States Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. At Tenstorrent, we're building cutting-edge hardware and software solutions that power AI, HPC, and general-purpose workloads. As a Performance Architect on our Platform Architecture team, you'll work across ML software stacks, compilers, CPU design, cache coherency protocols, and interconnect fabrics to shape the future of high-performance systems. This role is all about bridging software execution and silicon design-making data-driven decisions that directly influence our SoC performance. This role is remote, based out of The United States. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are - Passionate about solving complex system-level performance problems. - Comfortable working across hardware and software boundaries. - Analytical and data-driven, with a talent for turning workloads into architectural insights. - Collaborative, thriving in cross-functional teams spanning

### Billings and Collections Specialist - Cerebras Systems
- Location: Sunnyvale, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-02-13
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7614890003
- Excerpt: Billings and Collections Specialist Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Senior Billing and Collections Analyst, you'll own the full order-to-invoice cycle, turning delivered hardware, professional services, and compute usage into accurate, timely invoices that support clean financial reporting and on-time customer payment. You'll serve as a key link between Sales, Services, and Finance by leading month-end billing close activities, translating contract terms into billing in NetSuite, and managing credits and adjustments with audit-ready documentation. You'll respond to billing inquiries, resolve order-to-invoice issues before they delay payment, and identify process improvements and

### Spatial Data Subject Matter Expert - Raytheon Technologies
- Location: Warminster, Wiltshire (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/Warminster-Wiltshire/Spatial-Data-Subject-Matter-Expert_01828940
- Excerpt: Spatial Data Subject Matter Expert Warminster, Wiltshire posted: Posted 30+ Days Ago

### Sr. Semantics Computer Vision Research - Dolby Laboratories
- Location: Bangalore,India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://dolby.eightfold.ai/careers/job/22201721
- Excerpt: Sr. Semantics Computer Vision Research Bangalore,India

### Software Engineer - Surfaces - PlanetScale
- Location: San Francisco Bay Area or Remote (remote)
- Salary: $120K-$290K
- Posted: 2026-01-05
- Apply: https://job-boards.greenhouse.io/planetscale/jobs/4091110009
- Excerpt: Software Engineer - Surfaces San Francisco Bay Area or Remote PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads - without sacrificing developer experience. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our Surfaces team. The Surfaces team is responsible for all user-facing UIs, CLIs and APIs. We build and maintain the PlanetScale dashboard, APIs and billing systems every PlanetScale user relies on to launch and manage their databases. What's the job to be done? You will work on app.planetscale.com , the central control plane for every PlanetScale database, responsible for the creation and management of some of the worlds most important Vitess and Postgres databases. You will get to work across languages. Our CLI is written in Go, the dashboard is React + TypeScript, and the backend API is Ruby on Rails. You will get the opportunity to learn and deeply understand Vitess and Postgres. Working with our design team, you will apply your skills and taste to solve database DX challenges. Building truly the best database for developers. You will build, document, and publish RESTful APIs used by both end users and our user-facing dashboard. You will work on internal admin tools (chatbots, admin panels) to assist our engineers

### Cambridge Residency Programme: Next-Generation AI Datacentre Networking - Microsoft
- Location: Cambridge, England, GB (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- 401(k) match: listed (not source-backed)
- Apply: https://apply.careers.microsoft.com/careers/job/1970393556873384
- Excerpt: Cambridge Residency Programme: Next-Generation AI Datacentre Networking Cambridge, England, GB

### Full Stack LLM Engineer - Cerebras Systems
- Location: Toronto, Ontario, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2025-07-18
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/6654277003
- Excerpt: Full Stack LLM Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI

### AI & Computer Vision Intern - Data augmentation - Harmattan AI
- Location: Lausanne, Canton de Vaud, Switzerland (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-20
- Apply: https://jobs.ashbyhq.com/harmattan-ai/417e22d6-cf2c-471e-a5fa-f0ea906c5ad7
- Excerpt: AI & Computer Vision Intern - Data augmentation Lausanne, Canton de Vaud, Switzerland About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role To train highly robust perception systems, we need aerial imagery spanning a massive variety of conditions. You will engineer an advanced Generative AI pipeline capable of completely transforming the context of existing datasets; shifting time-of-day (day to night), changing seasons (summer to winter), or altering entire biomes and weather systems; while perfectly preserving small, critical target objects like drones. - Refine the Generative Architecture: Take ownership of a sophisticated multi-pass diffusion pipeline (structural background replacement + lighting/atmospheric glazing) to seamlessly adapt scene contexts while maximizing physical realism. - Solve Edge Cases: Improve custom masking and high-res depth-patching algorithms (e.g., histogram matching, seamless blending) to anchor small objects in 3D space, eliminating generative artifacts and "sticker" effects. - Scale & Validate: Generate large-scale augmented datasets and rigorously quantify their impact on downstream model performance. Design experiments to measure how the inclusion and varying ratios of this synthetic data directly improve the

### LLM Inference Performance & Evals Engineer - Cerebras Systems
- Location: Toronto, Ontario, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2025-07-24
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/6658665003
- Excerpt: LLM Inference Performance & Evals Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Join the inference model team dedicated to bring up the state-of-the-art models, numerically validating and accelerating new model ideas on wafer-scale hardware. You will prototype architectural tweaks, build performance-eval pipelines, and turn hard numbers into changes that land in production. Key Responsibilities - Prototype and benchmark cutting-edge ideas: new attentions, MoE, speculative decoding, and many more innovations as they emerge. - Develop agent-driven automation that designs experiments, schedules runs, triages regressions, and drafts pull-requests. - Work closely with compiler, runtime,

### Full Stack Engineer (Analytics) - Shaped
- Location: Williamsburg, NY, United States (unspecified)
- Salary: $100K-$150K
- Posted: 2026-06-10
- Apply: https://jobs.smartrecruiters.com/Shaped/743999921812100-full-stack-engineer-analytics-
- Excerpt: Full Stack Engineer (Analytics) Williamsburg, NY, United States Company Description: Shaped is an API for developers to seamlessly add personalized ranking and recommendation into their products. These frictionless discovery experiences help end-users find what they want faster, and, consequently, grow conversion and engagement business metrics. We're a seed stage start-up backed by top-tier investors (e.g. Y-Combinator, Susa Ventures, Tribe Capital etc…) and executives (e.g. Google, Amazon, Uber, Dropbox etc…). Our team comes from Meta, Google, Apple and Uber. We're a remote team but have a small office in Brooklyn, New York. Job Description: We are looking for a full-stack engineer to help build out monitoring and analytics tools to help our customers better understand the power of Shaped. You will be a founding engineer working on state-of-the-art AI infrastructure. As one of Shaped's early employees you will help shape our product, culture and vision. We're excited to work with you. Come build the future of AI with us! Qualifications: B.S., M.S., or Ph.D. in Computer Science or another technical field 3+ years of industry experience in a Software Engineering role Strong foundation in programming, data structures, algorithms, and software application design Passionate about solving challenging problems and iterating quickly Previous experience in analytics, machine learning or data processing is advantageous. Excellent written and verbal communication skills. Additional Information: Salary $100K - $150K Equity 0.10% - 0.30%

### Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026 - Netflix
- Location: Los Gatos,California,United States of America (unspecified)
- Salary: $40-$110/hr
- Posted: 2026-04-24
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Apply: https://explore.jobs.netflix.net/careers/job/790315673635?microsite=netflix.com
- Excerpt: Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026 Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Role Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system. During the internship, you will: Explore GS model compression strategies using open datasets Contribute to early thinking on additional dataset needs for representative scenes. Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest Who Are You? Currently pursuing a PhD in

### Forward Deployed Engineer - Interface
- Location: San Francisco | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/interface/aebdf0e6-599f-4e0a-b2c4-e19fb7f1d226
- Excerpt: Forward Deployed Engineer San Francisco | OnSite tl;dr: Interface is looking for generalist founding engineers (ml, data, full-stack) who are scrappy, push boundaries and have a need to win. We need to work hard and build quick to win. We want people to challenge our ideas and build alternatives. LFG 🚀 who you are: - make two-way door decisions quickly - fix things before being told they're broken - be comfortable with our stack (tsx, py, docker, llms, yolo, tesseract, postgresql, aws, react native ...) - have built real things that people use - thrive in chaos 🧑‍💻 what you'll do: - speak to users/customers about their experience / problems / needs - architect systems used daily by thousands of folks at $B+ companies - build agent-swarm data pipelines that autonomously audit thousands of documents - maintain infrastructure that scales - ship fast - because perfectionism kills progress. 🗣️ real talk: - you'll work with the founding team and customers directly - the users' needs are more important than cool features and/or hype - the whole team works 6 days a week at our office - you'll be in SF: a lot of work, great weather and best tech ecosystem in the world 🌎 other stuff: - Apply from anywhere in the world. - Competitive pay, strong equity, and early team influence. - $3,000 referral bonus for successful hires. ---- Who is Interface? We are the autonomous safety expert for the industrial world. Here's what that actually means: we're building

### AI Research Scientist - Algorithm - Applied Materials
- Location: Chennai,IND (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://amat.wd1.myworkdayjobs.com/External/job/ChennaiIND/AL-Research-Scientist---Algorithm_R2621317-1
- Excerpt: AI Research Scientist - Algorithm Chennai,IND posted: Posted Today

### Research Engineer (Scaling Multimodal Data) - World Labs
- Location: San Francisco (unspecified)
- Salary: $200K-$325K
- Posted: 2026-03-03
- Apply: https://job-boards.greenhouse.io/worldlabs/jobs/4164503009
- Excerpt: Research Engineer (Scaling Multimodal Data) San Francisco About World Labs: We build foundational world models that can perceive, generate, reason, and interact with the 3D world - unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology - from AI research to systems engineering to product design - creating a tight feedback loop between our cutting-edge research and products that empower our users. About the Role: We're looking for a research engineer to help improve our in-house world models through better multimodal data. This role is about figuring out what data actually moves model quality - then building the datasets, pipelines, and experiments to prove it. The best generative models aren't just a product of model architecture and compute, they are a product of the training data. The model output reflects someone's obsession over what goes into the data, how it's processed, and what gets thrown away. We're looking for the person who does the obsessing and builds the tools to act on it at scale. This isn't a role where someone hands you a dataset and asks you to clean it. You will decide what data we need, figure out where to get it, build the processing and curation systems, and

### Founding Engineer - Interface
- Location: San Francisco | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/interface/1dae0dc4-23c6-4742-97e1-e098e9424ad4
- Excerpt: Founding Engineer San Francisco | OnSite tl;dr: Interface is looking for generalist founding engineers (ml, data, full-stack) who are scrappy, push boundaries and have a need to win. We need to work hard and build quick to win. We want people to challenge our ideas and build alternatives. LFG 🚀 who you are: - make two-way door decisions quickly - fix things before being told they're broken - be comfortable with our stack (tsx, py, docker, llms, yolo, tesseract, postgresql, aws, react native ...) - have built real things that people use - thrive in chaos 🧑‍💻 what you'll do: - speak to users/customers about their experience / problems / needs - architect systems used daily by thousands of folks at $B+ companies - build agent-swarm data pipelines that autonomously audit thousands of documents - maintain infrastructure that scales - ship fast - because perfectionism kills progress. 🗣️ real talk: - you'll work with the founding team and customers directly - the users' needs are more important than cool features and/or hype - the whole team works 6 days a week at our office - you'll be in SF: a lot of work, great weather and best tech ecosystem in the world 🌎 other stuff: - Apply from anywhere in the world. - Competitive pay, strong equity, and early team influence. - $3,000 referral bonus for successful hires. ---- Who is Interface? We are the autonomous safety expert for the industrial world. Here's what that actually means: we're building an

### Member of Technical Staff, Applied Research - Sieve
- Location: San Francisco | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/sieve/8aa0e260-e95d-4534-8932-d75c8d49f5fa
- Excerpt: Member of Technical Staff, Applied Research San Francisco | OnSite ABOUT US Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. ABOUT THE ROLE As an applied research engineer at Sieve https://www.sievedata.com/, you'll build high performance building blocks and large scale pipelines to understand video with high precision at internet scale. Often this involves working on ambiguous research problems and finding clever techniques to solve them. You will be working in the computer vision, audio processing, and text processing domains. You're likely a good fit if you're comfortable working with models + APIs and squeezing every drop of performance out of them through clever pre/post-processing, parallelism, pipelining, inference optimization, and occasionally fine-tuning. REQUIREMENTS - 2+ years of experience in computer vision or audio processing - Strong Python developer with hands-on experience in PyTorch or similar ML frameworks - Excellent communication skills,

### Data Scientist, FeatureSpace - Visa Inc.
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-26
- 401(k) match: listed (not source-backed)
- Apply: https://visa.wd5.myworkdayjobs.com/visa/job/US---Atlanta-GA/Data-Scientist--FeatureSpace_REF074499W
- Excerpt: Data Scientist, FeatureSpace 2 Locations posted: Posted 17 Days Ago

### Data Scientist - RELX
- Location: 7 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://relx.wd3.myworkdayjobs.com/relx/job/Philadelphia-PA/Data-Scientist_R114709-1
- Excerpt: Data Scientist 7 Locations posted: Posted Yesterday

### Senior Math Libraries Engineer - Sparsity in AI - NVIDIA Corporation
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Math-Libraries-Engineer---Sparsity-in-AI_JR2001319-1
- Excerpt: Senior Math Libraries Engineer - Sparsity in AI 2 Locations posted: Posted Today

### AI Data Labeler - Mashgin
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.lever.co/mashgin/e3c8c967-68d2-41d0-8ecc-218b88e9ca65
- Excerpt: AI Data Labeler Remote About Mashgin Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional. Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more. We're not just building cutting-edge AI-we're creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we're also one of the rare AI startups that's already profitable. Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We've thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don't care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you're in the right place. Position Summary We are hiring an AI Data Labeler / Computer Vision Annotator to serve as the ground truth backbone of our computer vision pipeline. In this role, you will annotate the images and video our hardware captures, audit model predictions against reality, and surface patterns that tell us when our cameras, lighting, or models are not performing as expected. Your work directly determines

### Senior Geospatial Data Scientist (Address and Geocoding) - Cotality
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://cotality.wd115.myworkdayjobs.com/Global/job/Dallas-TX/Senior-Data-Scientist--Address-and-Geocoding-Data-_REQ18307
- Excerpt: Senior Geospatial Data Scientist (Address and Geocoding) 3 Locations posted: Posted Yesterday

### Analytics Engineer - Counsel Health
- Location: New York Office (Flatiron), New York City, New York, United States, Boston (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-14
- Apply: https://jobs.ashbyhq.com/counsel/c98d0bc0-8398-4adb-8d31-f08fa3be88d8
- Excerpt: Analytics Engineer New York Office (Flatiron), New York City, New York, United States, Boston About Counsel Counsel's mission is to multiply the world's healthcare capacity. We believe in a future in which every person has a personalized, AI-enabled doctor always in their pocket. To accomplish this, we're building the first fully-vertical, AI-native medical group from the ground up. We've redesigned the entire clinical stack with custom AI tools that make our in-house physicians 10x faster and smarter. [ learn more on our blog ] Since our founding in 2023, we have formed partnerships with leading healthcare organizations and are on track to serve hundreds of thousands of patients on our platform within the next year. We have raised over $35M from a16z, Google Ventures, Pear VC and other top-tier VC firms. Our team combines deep expertise in medicine (Harvard, Mt. Sinai, Mass General, UCSF) and technology (MIT, Google, DeepMind, NVIDIA, Stripe, Meta) - and we're looking for exceptional people to join us as we scale. Join us as we build the future of AI in healthcare! ----------------------------------------------------- About the Role At Counsel Health, we've built a strong data foundation - a cloud warehouse, ETL pipelines, and event tracking are all in place. Now we need someone to make that data mean something . We're looking for an Analytics Engineer who will own the semantic layer of our data, building and maintaining the core analytics data models that the rest of the company will use to turn raw data into insights.

### AI Engineer - Chubb Limited
- Location: Toronto, ON, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-04
- Apply: https://fa-ewgu-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX/requisitions/job/33301
- Excerpt: AI Engineer Toronto, ON, Canada AI Engineer

### Python with AI Engineering - Vice President - Citigroup Inc.
- Location: PUNE, Mahārāshtra, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://citi.eightfold.ai/careers/job/859034498347
- Excerpt: Python with AI Engineering - Vice President PUNE, Mahārāshtra, India

### Computer Vision Specialist - Freelance AI Trainer Project - Agency
- Location: United States of America (unspecified)
- Salary: $8-$65/hr
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/agency/jobs/4666572101
- Excerpt: Computer Vision Specialist - Freelance AI Trainer Project United States of America Are you an experienced Homography specialist eager to shape the future of AI? Large-scale language models and computer vision systems are evolving rapidly, moving beyond basic perception into advanced mathematical modeling, spatial reasoning, and applied problem-solving. With high-quality training data, tomorrow's AI can deliver more accurate, reliable, and innovative solutions across fields such as robotics, augmented reality, 3D reconstruction, and visual mapping. That training data begins with you-your expertise will help power the next generation of AI. We're looking for a Homography specialist who can bring mathematical precision, domain knowledge, and practical problem-solving skills to training data. You'll work with cutting-edge AI tools, evaluate and refine outputs, and provide feedback on homography transformations, projective geometry, multi-view consistency, and real-world applications in vision and graphics. On a typical day, you will review and annotate AI-generated content, assess responses for correctness and clarity, identify reproducible error patterns, and collaborate with our team to refine prompts, evaluation methods, and domain-specific guidelines. Tasks may include selecting and labeling static points across images, conducting manual and synthetic homographies, validating transformation accuracy, and documenting error behavior for model improvement. Foundational knowledge of homography and projective geometry is required, supported by coursework, research, or applied experience in computer vision, robotics, graphics, or related fields. A degree in mathematics, computer science, or engineering is a plus. Strong analytical ability, clear communication skills, and attention to detail are essential. Ready to channel your homography expertise into building

### Senior Pixel Designer - Teledyne Technologies
- Location: Canada - Waterloo, ON (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://flir.wd1.myworkdayjobs.com/flircareers/job/Canada---Waterloo-ON/Senior-Pixel-Designer_REQ26551
- Excerpt: Senior Pixel Designer Canada - Waterloo, ON posted: Posted 30+ Days Ago

### Spclst, Data Sci & Analytics - Carrier Global
- Location: Capital Cyberscape, 2nd Floor, Ullahwas, Sector 59, Gurugram, Haryana 122102 (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://carrier.wd5.myworkdayjobs.com/Jobs/job/Capital-Cyberscape-2nd-Floor-Ullahwas-Sector-59-Gurugram-Haryana-122102/Spclst--Data-Sci---Analytics_30208258
- Excerpt: Spclst, Data Sci & Analytics Capital Cyberscape, 2nd Floor, Ullahwas, Sector 59, Gurugram, Haryana 122102 posted: Posted Today

### Distributed Software Engineer - Cerebras Systems
- Location: Bengaluru, Karnataka, India; Sunnyvale CA or Toronto Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-09
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7582638003
- Excerpt: Distributed Software Engineer Bengaluru, Karnataka, India; Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Cerebras Systems is a pioneer in large-scale AI Supercomputers. These multi-exaflop supercomputers are deployed in some of the biggest datacenters. These supercomputers are built using our Wafer-Scale Cluster technology - a cluster of several Wafer Scale Engine (WSE) chips. The Cluster engineering team is responsible for delivering software that are all-things related to cluster. Responsibilities - Automate bare-metal configuration of networking, OS, and application software in large clusters of Cerebras WSE, servers, and switches. - Additional push button

### Detection Engineer - Haleon
- Location: Bengaluru Campus 31, Bengaluru, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://careers.haleon.com/careers/job/563705891523574
- Excerpt: Detection Engineer Bengaluru Campus 31, Bengaluru, India

### Senior Geospatial AI Specialist - BAE Systems Inc
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://baesystems.taleo.net/careersection/2/jobdetail.ftl?job=1166448&lang=en
- Excerpt: Senior Geospatial AI Specialist

### Lead - Motion Graphics - Speck
- Location: Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-08
- Apply: https://job-boards.greenhouse.io/glance/jobs/7989034
- Excerpt: Lead - Motion Graphics Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Glance Since 2019, Glance has built the

### Conversational AI UX Designer - BloomReach
- Location: Czechia (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-16
- Parental leave: 26 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Mental health support: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/bloomreach/jobs/7820226
- Excerpt: Conversational AI UX Designer Czechia Bloomreach is building the world's premier agentic platform for personalization .We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. - We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. - We're making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. - We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine - Loomi AI - so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. We're looking for a Conversational AI UX Designer to define how Loomi (our AI) talks, listens, and guides marketers through their day‑to‑day work in Bloomreach. You'll design AI‑first experiences across chat, in‑product assistants, and agentic workflows that help marketers create, edit, and understand complex campaigns - without needing to be data scientists or developers. You'll work closely with other designers, product managers, and engineers to shape how our agents behave: what they say, what they show, when they ask for more input, and

### Computer Vision AI/ML Engineer - Leidos
- Location: Huntsville, AL (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 4 weeks (not source-backed)
- Non-birth-parent leave: 4 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://leidos.wd5.myworkdayjobs.com/External/job/Huntsville-AL/Computer-Vision-AI-ML-Engineer_R-00177556
- Excerpt: Computer Vision AI/ML Engineer Huntsville, AL posted: Posted 30+ Days Ago

### Maître d'oeuvre digitalisation - Aptiv
- Location: Epernon, France (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://aptiv.wd5.myworkdayjobs.com/APTIV_CAREERS/job/Epernon-France/Matre-d-oeuvre-digitalisation_J000669533
- Excerpt: Maître d'oeuvre digitalisation Epernon, France posted: Posted 30+ Days Ago

### Cloud Infrastructure/DevOps Engineer - Tessera Labs
- Location: San Jose Office (HQ), San Jose, California, United States, Remote in the U.S., San Francisco Office (remote)
- Salary: Not disclosed
- Posted: 2026-03-08
- Apply: https://jobs.ashbyhq.com/tessera-labs/3f8e8ada-2727-409a-991d-a31245b314c7
- Excerpt: Cloud Infrastructure/DevOps Engineer San Jose Office (HQ), San Jose, California, United States, Remote in the U.S., San Francisco Office About Tessera Labs Tessera Labs is redefining how enterprises adopt and operationalize Artificial Intelligence. Backed by Foundation Capital and led by a world-class founding team, we build multi-agent AI systems that automate complex business workflows across platforms like SAP, Salesforce, Workday, Snowflake, MuleSoft, and more. Our mission is simple but ambitious: bring real AI automation to the enterprise - with speed, precision, and measurable impact. We move fast, operate with extreme ownership, and build at the frontier of applied AI. About the Team The Cloud Infrastructure team builds and operates the foundational infrastructure that lets Tessera run reliably, securely, and consistently across customer environments. This includes a portable cloud infrastructure that makes each environment production-ready: container orchestration (Kubernetes), networking, and automation that ensures our product behaves the same regardless of the underlying cloud provider. This is a high-impact role because it directly enables our ability to onboard and operate enterprise customer environments under strict security and compliance constraints while preserving developer velocity. The work reduces integration risk, standardizes operational practices across hyperscalers, and ensures product teams can ship safely without infrastructure becoming a bottleneck. The Role As a Cloud Infrastructure / DevOps Engineer, you'll design and own production-grade infrastructure that supports Tessera's AI systems across multiple cloud providers. You'll work on everything from Kubernetes and Terraform to observability, security, and reliability - with real ownership over architectural decisions. This is a

### Machine Learning - Microsoft
- Location: Mountain View, CA, US, Redmond, WA, US, New York, NY, US (unspecified)
- Salary: Not disclosed
- Posted: 2025-12-09
- 401(k) match: listed (not source-backed)
- Apply: https://apply.careers.microsoft.com/careers/job/1970393556638358
- Excerpt: Machine Learning Mountain View, CA, US, Redmond, WA, US, New York, NY, US

### Distributed LLM Inference Engineer - Anyscale
- Location: San Francisco, Palo Alto (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- Fertility benefits: yes (not source-backed)
- Apply: https://jobs.ashbyhq.com/anyscale/1cf38233-8aa0-47f8-9d85-65ce27bc3047
- Excerpt: Distributed LLM Inference Engineer San Francisco, Palo Alto About Anyscale At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we're building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role As a Distributed LLM Inference Engineer, you will help systems and optimizations that push the boundaries of performance for inference at large scale. This is an incredibly critical role to Anyscale as it allows us to achieve a market leading position for AI infrastructure. As part of this role, you will - Iterate very quickly with product teams to ship the end to end solutions for Batch and Online inference at high scale which will be used by open-source Ray users and customers of Anyscale - Work across the stack integrating Ray Data and LLM engine providing optimizations achieving low cost solutions for large scale ML inference - Integrate with Open source

### AI Governance Data Scientist - Bayer
- Location: Gdańsk,Pomorskie,Poland (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://talent.bayer.com/careers/job/562949977338234
- Excerpt: AI Governance Data Scientist Gdańsk,Pomorskie,Poland

### AI Engineer - NetApp, Inc.
- Location: Bangalore, India Office (BANGALORE) (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://netapp.eightfold.ai/careers/job/42223881
- Excerpt: AI Engineer Bangalore, India Office (BANGALORE)

### Head of Computer Vision and Machine Learning - Dexterity
- Location: Redwood City (unspecified)
- Salary: $160K-$220K
- Posted: 2023-02-23
- Apply: https://jobs.lever.co/dexterity/c09a7805-2a30-4f94-aaf4-4547fb619047
- Excerpt: Head of Computer Vision and Machine Learning Redwood City About Dexterity: At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work. We're starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we're customer-obsessed? Every decision, large and small, is driven by one question - how can we empower our customers with robots to do more than they thought was possible? Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We're a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality! Required Skills: MS or PhD in Computer Science, or a related discipline, or equivalent experience. 2 or more years of experience leading a team of Computer Vision or Machine Learning engineers. At least 5 years of experience in building ML datasets, data pipelines and serving architecture. Creating a culture of developing high quality models, tests and regressions Strong knowledge of Modern C++ and Python. Experience building, maintaining

### Senior Python Engineer for Agentic AI - Deutsche Telekom AG
- Location: Romania (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://telekom-growthhub.eightfold.ai/careers/job/563465373287578
- Excerpt: Senior Python Engineer for Agentic AI Romania

### Human-Centered AI Intern, CAD Design Reasoning Machine Learning - TRI Pointe Homes
- Location: Los Altos, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Apply: https://jobs.lever.co/tri/ca561b23-9589-49bc-a056-7f741ff48c26
- Excerpt: Human-Centered AI Intern, CAD Design Reasoning Machine Learning Los Altos, CA

### General Counsel - Dust
- Location: San Franciso / New York / Paris (unspecified)
- Salary: EUR 180K-210K
- Posted: 2026-04-14
- Apply: https://jobs.ashbyhq.com/dust/4a5b5dee-4f38-444b-adff-67e1bad89e75
- Excerpt: General Counsel San Franciso / New York / Paris About Dust Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world's fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 . Summary As Dust's General Counsel , you'll be the architect of our legal infrastructure during a critical hyper-growth phase. You'll build the Legal function from the ground up, serving as an integral thought partner to leadership while establishing scalable legal processes that support our ambitious revenue growth trajectory of x5 this year.

### KERING Data & AI Architect - Kering
- Location: Paris, France (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://careers.kering.com/careers/job/563705891623066
- Excerpt: KERING Data & AI Architect Paris, France

### Staff Machine Learning Engineer - Generative AI - Xometry INC
- Location: North Bethesda, MD (unspecified)
- Salary: $140K-$230K
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/xometry/jobs/4871657007
- Excerpt: Staff Machine Learning Engineer - Generative AI North Bethesda, MD Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is seeking a Staff Machine Learning Engineer to lead our Generative AI efforts. This is a rare opportunity to shape the future of manufacturing by applying cutting-edge AI research to real-world problems: from multimodal document understanding, to extracting structured data from technical drawings, to building new ways of reasoning across text, images, and 3D data. If you're passionate about building state-of-the-art AI systems and want to see your work have immediate business and customer impact, we'd love to talk. Responsibilities: Lead with vision - Set the technical direction for our Generative AI team, establish best practices, and inspire high-impact innovation. Drive strategy - Help shape the AI roadmap, identifying the most valuable opportunities to apply generative AI across Xometry's marketplace. Build cutting-edge models - Develop and deploy large language and generative models for multimodal document processing and structured data extraction. Innovate across modalities - Explore new ways to combine text, images, and 3D data to unlock smarter, faster solutions. Engineer at scale - Create data pipelines and training workflows that can handle massive, complex datasets. Deploy in the cloud - Use AWS

### Data Solution Architect - Baker Tilly
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- 401(k) match: listed (not source-backed)
- Apply: https://bakertilly.wd5.myworkdayjobs.com/BTCareers/job/USA-TX-Frisco/Data-Solution-Architect_JR106582
- Excerpt: Data Solution Architect 3 Locations posted: Posted 16 Days Ago

### Python Quant Engineer - Citigroup Inc.
- Location: BUDAPEST, Hungary (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://citi.eightfold.ai/careers/job/859034478465
- Excerpt: Python Quant Engineer BUDAPEST, Hungary

### Member of Technical Staff - Sieve
- Location: San Francisco | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/sieve/70847a5f-1262-4163-a496-db4db9fdb138
- Excerpt: Member of Technical Staff San Francisco | OnSite ABOUT US Sieve is the only AI research lab exclusively focused on video data. We combine exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources to develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in growth of these applications: high-quality training data. We've partnered with top AI labs and did $XXM last quarter alone, as a team of just 15 people. We also raised our Series A last year from Tier 1 firms such as Matrix Partners https://matrix.vc/, Swift Ventures https://www.swift.vc/, Y Combinator https://www.ycombinator.com/, and AI Grant https://aigrant.com/. ABOUT THE ROLE As a software engineer at Sieve https://www.sievedata.com/, you'll work across the stack to build and scale the data pipelines that create the datasets we deliver to customers. You'll have ownership over projects end-to-end: from how data is sourced and curated, to developing ML filters, improving system efficiency, and building internal dashboards for QA and delivery. You'll play a critical role in ensuring customers receive high-quality data on time, every time. This role is ideal for someone who thrives on solving hard problems, enjoys working directly with customers pushing the frontier of Video AI, and wants to be challenged to achieve at the highest level. REQUIREMENTS - Strong Python developer, experience in Go or Typescript also welcome - Excellent communication

### Computer Scientist ( Python ) - Adobe Inc.
- Location: Bangalore (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/Bangalore/Advanced-Analytics---Reporting-Analyst_R167740-1
- Excerpt: Computer Scientist ( Python ) Bangalore posted: Posted Today

### Lead AI and Computer Vision specialist (f/m/d) - Baker Hughes
- Location: IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Parental leave: 12 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://bakerhughes.wd5.myworkdayjobs.com/BakerHughes/job/IT-FI-FLORENCE-VIA-FELICE-MATTEUCCI-2/Lead-AI-and-Computer-Vision-specialist_R163568-1
- Excerpt: Lead AI and Computer Vision specialist (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

### Computer Vision Data Scientist - Idexx Laboratories
- Location: Westbrook, ME (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- 401(k) match: listed (not source-backed)
- Apply: https://idexx.wd1.myworkdayjobs.com/IDEXX/job/Westbrook-ME/Computer-Vision-Data-Scientist_J-050855
- Excerpt: Computer Vision Data Scientist Westbrook, ME posted: Posted 3 Days Ago

### Edge AI Engineer - Jabil
- Location: Penang (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://jabil.wd5.myworkdayjobs.com/Jabil_Careers/job/Penang/Edge-AI-Engineer_J2444506
- Excerpt: Edge AI Engineer Penang posted: Posted 30+ Days Ago

### Director, Applied AI & Agentic Platform Engineering - Citigroup Inc.
- Location: NEW YORK, New York, United States of America (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://citi.eightfold.ai/careers/job/859035435809
- Excerpt: Director, Applied AI & Agentic Platform Engineering NEW YORK, New York, United States of America

### Cluster UI Full Stack, Engineering Lead - Cerebras Systems
- Location: Bengaluru, Karnataka, India; Toronto, Ontario, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-28
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7608975003
- Excerpt: Cluster UI Full Stack, Engineering Lead Bengaluru, Karnataka, India; Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role In this role, you will be building a world class UI-based large-scale cluster management portal. This portal will act as one stop for all operations and maintenance of cerebras clusters - such as cluster bringup deployment (day0/1/2), job management, health management to name a few. Cerebras AI clusters may have 1000's of Wafer-scale accelerator systems, several 1000's of high-end servers, and several 1000's of networking ports including switches. Responsibilities - Be the primary engineering face and owner

### Entelect - Data - Rightmove
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://rightmove.bamboohr.com/careers/1249
- Excerpt: Entelect - Data Entelect - Data

### Full‑Stack Machine Learning Engineer - RELX
- Location: UK - London (London Wall) (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://relx.wd3.myworkdayjobs.com/relx/job/UK---London-London-Wall/Senior-Software-Engineer-II_R110551-1
- Excerpt: Full‑Stack Machine Learning Engineer UK - London (London Wall) posted: Posted Yesterday

### Big Data Scientist - Vodafone Group
- Location: Athens, Attiki, Greece (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://vodafone.eightfold.ai/careers/job/563018697140634
- Excerpt: Big Data Scientist Athens, Attiki, Greece

### Senior Data Scientist - RELX
- Location: 7 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://relx.wd3.myworkdayjobs.com/relx/job/Philadelphia-PA/Senior-Data-Scientist_R114711
- Excerpt: Senior Data Scientist 7 Locations posted: Posted Yesterday

### Engineering Manager, Atlas (Spatial Systems) - Verkada
- Location: San Mateo, CA United States (unspecified)
- Salary: $220K-$315K
- Posted: 2026-04-27
- Fertility benefits: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Learning budget: yes (not source-backed)
- Apply: https://job-boards.greenhouse.io/verkada/jobs/5121532007
- Excerpt: Engineering Manager, Atlas (Spatial Systems) San Mateo, CA United States Who We Are Verkada is transforming how organizations protect their people and places with an integrated, privacy-sensitive AI-powered platform that includes solutions for video security, access control, air quality sensors, alarms, intercoms, and visitor management. We've got serious momentum in the market: more than 30,000 customers (including 100+ of the Fortune 500), a $5.8B valuation , more than $1 billion in annualized bookings, and backing from CapitalG, Sequoia Capital, General Catalyst, Felicis Ventures, Next47 and more. Physical AI is one of the most consequential technology shifts of our time, and Verkada is at the center of it. You can look at all kinds of communities to see our platform's impact in the world. It's the retailer that uses our agentic AI to deter theft before it happens. The warehouse that uses AI-powered alerts to make sure its team is protected on the floor with proper PPE. The school that's alerted to a threat in real-time and triggers a lockdown in seconds, not minutes. We're rapidly scaling this impact: today, more than 2 million Verkada devices are deployed across 170+ countries. About the Team Atlas is the founding engineering team responsible for the Maps mandate at Verkada. Our mission is to transform the physical world into a high-performance, interactive digital twin. We build the Spatial Systems -the core rendering engine, tiling infrastructure, and collaborative APIs-that power the visual interface for our entire product ecosystem. The Platform Mandate Atlas does not build

### Senior Runtime Engineer - Cerebras Systems
- Location: Sunnyvale CA or Toronto Canada (unspecified)
- Salary: Not disclosed
- Posted: 2025-10-28
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7510635003
- Excerpt: Senior Runtime Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help

### Senior Scientist, AI Computational Structural Biology - Bristol Myers Squibb
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- 401(k) match: listed (not source-backed)
- Apply: https://bristolmyerssquibb.wd5.myworkdayjobs.com/BMS/job/Cambridge-Crossing---MA---US/Senior-Scientist--AI-Computational-Structural-Biology_R1603055
- Excerpt: Senior Scientist, AI Computational Structural Biology 2 Locations posted: Posted 9 Days Ago

### Software Engineer, Geospatial Data (Starshield) - SpaceX
- Location: Hawthorne, CA (unspecified)
- Salary: $125K-$145K
- Posted: 2026-01-26
- Parental leave: 3 weeks (not source-backed)
- Apply: https://boards.greenhouse.io/spacex/jobs/8389619002?gh_jid=8389619002
- Excerpt: Software Engineer, Geospatial Data (Starshield) Hawthorne, CA SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SOFTWARE ENGINEER, GEOSPATIAL DATA (STARSHIELD) Starshield leverages SpaceX's Starlink technology and launch capability to support national security efforts. While Starlink is designed for consumer and commercial use, Starshield is designed for government use, with an initial focus on earth observation, communications, and hosted payloads. The Starshield data team is building highly reliable processing systems for earth observation data captured by Starshield satellites. We're building mission critical models and data processing software in service of constellation efficiency and derived information quality. We're building for national security. Aerospace experience is not required to be successful here-- we want our engineers to bring fresh ideas from all areas. We look for engineers who love solving problems and seek to make an impact on an inspiring mission. As we expand this team, we're looking for versatile, motivated, and collaborative engineers. Our team is involved in designing the space information systems at every phase of development. We build tools that enable us to work more efficiently, and that help us build software systems that are secure, reliable, and autonomous. Our machine learning engineers are responsible for the life cycle of the software they create, including development, testing, and operational support. RESPONSIBILITIES:

### CAD Engineer - Oceaneering International
- Location: Chandigarh, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- 401(k) match: listed (not source-backed)
- Apply: https://ebfr.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/jobs/requisitions/job/10676
- Excerpt: CAD Engineer Chandigarh, India CAD Engineer

### Lead Data Scientist (TS/SCI) - MORSE Corp
- Location: Cambridge, MA (unspecified)
- Salary: $90K-$210K
- Posted: 2026-03-10
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/morsecorp/jobs/7660561003?gh_jid=7660561003
- Excerpt: Lead Data Scientist (TS/SCI) Cambridge, MA MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is searching for a Lead Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will lead teams and strategy for Algorithm Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems. Responsibilities: - Define goals and expectations for algorithm T&E performance - Research artificial intelligence data splitting, metrics, and T&E methodology - Lead strategy and coordination with algorithm development vendors - Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results - Present a path forward and solutions to solve complex data problems - Work with MORSE's current team of engineers and scientists to transition algorithms to software applications and real-time embedded systems. Requirements: - US CITIZENSHIP REQUIRED and an Active Top Secret U.S. Security Clearance with SCI eligibility (TS/SCI) - Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or

### Senior Data Engineer - Orbital Operations
- Location: London | Hybrid | Remote (hybrid)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/orbital/a78ca5bf-fb9a-4a2a-96e4-bc6460b60eea
- Excerpt: Senior Data Engineer London | Hybrid | Remote 🚀 We're on a mission to make real estate transactions smarter, faster, and friction-free. 🏢 Real estate is the world's largest asset class, yet the legal processes and tools behind it remain slow, manual, and underinvested. Lawyers must review dense documents line by line and piece together information across silos, all while clients demand faster, more transparent due diligence. 🤖 That's where we come in. Orbital Copilot is the AI assistant built exclusively for commercial real estate law. Developed with former practicing real estate lawyers, it accelerates complex due diligence by up to 70% while delivering legal-grade precision. 💰 We've just raised a $60m Series B to accelerate our UK/US expansion. 🤝 We're trusted by leading firms like Goodwin and BCLP to remove the busywork so legal teams can focus on what they do best: applying sharp legal judgment, delivering standout client service, and getting deals over the line faster. 💡 Working at Orbital means joining a team that's reimagining how real estate transactions get done - moving fast, working collaboratively, and giving people the ownership to make a real impact from day one. ROLE OVERVIEW - We're looking for a Senior Data Engineer with Analytics experience (Contract) to design and build the analytics foundations for a new greenfield product. There is no existing infrastructure: no pipelines, no operational data store, no semantic layer. You are starting from zero and leaving behind something clean, well-documented, and extendable. - The core challenge is

### Associate Data Engineer - Baker Tilly
- Location: 5 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- 401(k) match: listed (not source-backed)
- Apply: https://bakertilly.wd5.myworkdayjobs.com/BTCareers/job/USA-TX-Frisco/Associate-Data-Engineer_JR106581
- Excerpt: Associate Data Engineer 5 Locations posted: Posted 16 Days Ago

### Security SWE - Cerebras Systems
- Location: Sunnyvale CA or Toronto Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-11
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647319003
- Excerpt: Security SWE Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers

### Advanced Technology: AI/ML Research Scientist - Cerebras Systems
- Location: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-06
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691353003
- Excerpt: Advanced Technology: AI/ML Research Scientist Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing, SIAM, IEEE,

### Staff Inference ML Runtime Engineer - Cerebras Systems
- Location: Sunnyvale CA or Toronto Canada (unspecified)
- Salary: Not disclosed
- Posted: 2025-11-25
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7523546003
- Excerpt: Staff Inference ML Runtime Engineer Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Inference ML Engineering team at Cerebras Systems is dedicated to enabling our fast generative inference solution through simple APIs powered by a distributed runtime that runs on large clusters of our own hardware. Our mission is to empower enterprises, developers, and researchers to unlock the full potential of our platform, leveraging its performance, scalability, and flexibility. The team works closely with cross-functional groups, including compiler developers, cluster orchestrators, ML scientists, cloud architects, and product teams, to deliver high-impact

### Data Engineer - Multimodal Systems - Zyphra
- Location: San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-17
- Apply: https://jobs.ashbyhq.com/zyphra/21201263-16d1-4765-84a4-86408b25d02c
- Excerpt: Data Engineer - Multimodal Systems San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Data Engineer - Multimodal Systems , you will be a core contributor to creating, collecting, and improving Zyphra's datasets and data pipelines across a variety of modalities. Your work will intersect with almost every team at Zyphra. You will be involved in collecting large-scale datasets and implementing and optimizing highly parallel data pipelines. You'll Work Across: - Large-scale data collection across a variety of modalities (text, audio, image) - Designing and working with highly efficient, parallelized data processing pipelines across modalities - Designing and running rigorous experimental ablations to demonstrate the impact of new data improvements What We're Looking For / Requirements: - Strong implementation and prototyping ability - Can take an idea from conception to experimentation quickly - The ability to work well with others in a high-paced research setting - Can rapidly learn new fields and are excited to implement new ideas - Excellent communication and collaboration skills, and can work effectively on both research and engineering implementation at scale. Qualifications / Additional Skills: - Experience collecting, handling, and processing large datasets - Experience with parallel Python programming frameworks such as Dask - Understanding of the state-of-the-art in dataset curation across modalities - A generally meticulous nature and a strong interest in actually looking at data and sanity checking things - Strong grasp of proper experimental methodology for running rigorous ablations and other

### Data Scientist - Adobe Inc.
- Location: San Francisco (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Parental leave: 16 weeks (not source-backed)
- Non-birth-parent leave: 16 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://adobe.wd5.myworkdayjobs.com/external_experienced/job/San-Francisco/Data-Scientist_R169486-1
- Excerpt: Data Scientist San Francisco posted: Posted Yesterday

### Thesis on AI-Driven Map Matching and Path Prediction on Semantically Enriched Road Networks - BMW
- Location: Location not specified (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://www.bmwgroup.jobs/job-invite/184147/?locale=en_US
- Excerpt: Thesis on AI-Driven Map Matching and Path Prediction on Semantically Enriched Road Networks Location not specified SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE. SHARE YOUR PASSION. More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do. Map matching and path prediction are core capabilities for autonomous driving. Our team at the BMW Group explores data-driven approaches that combine symbolic reasoning and machine learning, operating on real-world map data to improve robustness, accuracy, and interpretability in complex urban environments. What awaits you? You will support modeling road connectivity and constraints in RDF and implementing rule sets to compute the most probable path using a rule-based reasoner. Furthermore, you help build features from observations and the road graph, learning graph embeddings and training models to predict the next link or path. In addition, you contribute to formulating path prediction as a reinforcement learning problem, integrating graph embeddings and training agents such as DQN or actor-critic. Moreover, you will assist in developing sequence-to-sequence or transformer-based models to align GPS trajectories to graph-aligned edge sequences and comparing them to baselines. Darüber hinaus wirkst du mit beim Experimentieren mit graph-aware atten

### Data Engineer - Tapestry, Inc.
- Location: New York, New York, USA (Corporate Headquarters) (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Parental leave: 8 weeks (not source-backed)
- Non-birth-parent leave: 8 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://tapestry.wd108.myworkdayjobs.com/Tapestry_Careers/job/New-York-New-York-USA-Corporate-Headquarters/Data-Engineer_JR_00002030
- Excerpt: Data Engineer New York, New York, USA (Corporate Headquarters) posted: Posted 30+ Days Ago

### Pro Fee Coding Specialist - Laureate Education INC
- Location: Yale Campus - Hospital (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://saintfrancis.wd1.myworkdayjobs.com/External/job/Yale-Campus---Hospital/Pro-Fee-Coding-Specialist_JR25547-1
- Excerpt: Pro Fee Coding Specialist Yale Campus - Hospital Yale Campus - Hospital

### Research Intern - Self-Improving AI - Microsoft
- Location: Cambridge, MA, US, New York, NY, US (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- 401(k) match: listed (not source-backed)
- Apply: https://apply.careers.microsoft.com/careers/job/1970393556867858
- Excerpt: Research Intern - Self-Improving AI Cambridge, MA, US, New York, NY, US

### Software Engineer - PlanetScale Vitess - PlanetScale
- Location: EMEA - Remote (remote)
- Salary: $120K-$290K
- Posted: 2025-07-24
- Apply: https://job-boards.greenhouse.io/planetscale/jobs/4009746009
- Excerpt: Software Engineer - PlanetScale Vitess EMEA - Remote PlanetScale is growing rapidly and reinventing the database space. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads - without sacrificing developer experience. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a Software Engineer to join our core engineering team and help us build the next generation of database infrastructure. What's the job to be done? - You will design and build critical systems that power PlanetScale's database platform, serving millions of queries per second for some of the world's largest applications. - You will collaborate with a team of expert engineers to solve complex distributed systems challenges. - You will work independently to solve engineering and business problems with little direction and high autonomy. - You will work directly with customers to understand their needs and translate them into robust technical solutions. These attributes best describe you… - You are passionate about building high-quality, scalable systems and take pride in writing clean, maintainable code. - You have strong experience with distributed systems, databases, and performance optimization. - You are comfortable working with large codebases and can quickly understand and contribute to complex systems. - You thrive in a collaborative environment and enjoy mentoring junior engineers. - You have excellent problem-solving skills and can debug complex issues

### Applied AI/ML Scientist - Cerebras Systems
- Location: UAE (unspecified)
- Salary: Not disclosed
- Posted: 2026-01-14
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7588502003
- Excerpt: Applied AI/ML Scientist UAE Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives. We are looking for experienced AI Scientists who are passionate about the "applied" side of machine learning - those

### Principal ML Investigator - Cerebras Systems
- Location: Sunnyvale, CA (unspecified)
- Salary: Not disclosed
- Posted: 2025-12-12
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7560555003
- Excerpt: Principal ML Investigator Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role Cerebras is adding an ML team that can focus on a new ML effort that can align with existing teams. We are seeking a principal investigator who will partner with our ML leaders to formulate the new effort and to build up the new team and capabilities. This new team would coordinate with our current ML teams: Field ML, which works directly with customers, Applied ML, which builds new ML capabilities and applications for customers, and Core ML, which adapts ML algorithms to find

### Data Scientist - MORSE Corp
- Location: Cambridge, MA (unspecified)
- Salary: $90K-$210K
- Posted: 2025-04-21
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/morsecorp/jobs/6549487003?gh_jid=6549487003
- Excerpt: Data Scientist Cambridge, MA MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science, and algorithm development in one or more of a variety of fields including visual classification, big data, natural language processing, machine translation, time sequenced data, and advanced metrics. You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models and algorithms to give national security customers insights into the capabilities of applying AI to solve real world problems. Responsibilities: - Perform data analysis, test and evaluation of existing machine learning algorithms, and development of advanced algorithms to model physical and autonomous systems, - Work with MORSE's current team of engineers to transition algorithms to software applications and real-time embedded systems. - Support the transition of the developed algorithms to software using one or more programming languages such as Python, C, C++, Java, or MATLAB. - Work with customers, stakeholders, and other vendors to present concepts, analyses, and test results - Present a path forward and solutions to solve complex data problems - Research and identify new methods for machine learning and data analysis Requirements: - US CITIZENSHIP REQUIRED and the ability to

### Algorithm Developer – Computer Vision - Applied Materials
- Location: Rehovot,ISR (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://amat.wd1.myworkdayjobs.com/External/job/RehovotISR/Algorithm-Developer---Computer-Vision_R2613098
- Excerpt: Algorithm Developer – Computer Vision Rehovot,ISR posted: Posted 30+ Days Ago

### Solutions Engineer - PlanetScale
- Location: Remote - EMEA, Remote - NA (remote)
- Salary: $160K-$250K
- Posted: 2025-10-29
- Apply: https://job-boards.greenhouse.io/planetscale/jobs/4052805009
- Excerpt: Solutions Engineer Remote - EMEA, Remote - NA PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads - without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for early members of our Sales team that can form deep partnerships with our prospects and customers to help them adopt and succeed on the next generation of database infrastructure. What's the job to be done? - Partner with Sales and Customer Engineering throughout the pre-sales and post-sales journey as the technical expert helping customers solve their most challenging database problems. - Lead technical discovery to match customers' business and technical objectives with PlanetScale's offerings. - Design and execute proof of value timelines that deliver on agreed upon business outcomes and success criteria. - Design database migration strategies and work hands-on with customers to execute migrations to PlanetScale's PostgreSQL and Vitess platforms. - Assess workloads, analyze performance requirements, and recommend architecture, sizing, and optimization strategies. - Build tools, scripts, and automation that

### Software Engineer - Photogrammetry - Harmattan AI
- Location: Paris, Île-de-France, France (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-06
- Apply: https://jobs.ashbyhq.com/harmattan-ai/4266b86a-f36f-4d4c-8106-a0553f966676
- Excerpt: Software Engineer - Photogrammetry Paris, Île-de-France, France About Us Harmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces. Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected. About the Role We are looking for a Software Engineer to join our Geometric Scene Understanding team in Paris . In this role, you will bridge the gap between complex mathematical research and mission-critical production software. While our Computer Vision (CV) engineers design the core algorithms for 3D reconstruction-such as SfM, SLAM, and Neural Radiance Fields-you will be responsible for transforming these computationally heavy prototypes into high-performance, real-time engines capable of running on resource-constrained tactical hardware. You will be the architect of the pipeline that ingests live drone telemetry and video to output a real-time 3D rendering of the battlefield, providing a decisive edge for the Common Operational Picture (COP). Responsibilities - High-Performance Pipeline Construction: Architect and build the software pipeline to ingest, decode, and perfectly synchronise multi-drone video streams and telemetry data. - Hardware Acceleration: Profile CV algorithms and rewrite bottlenecks using GPU acceleration (CUDA, Vulkan, or TensorRT) and CPU multi-threading to achieve near real-time 3D reconstruction. -

### Data & AI Consultant - Pax8
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://pax8inc.wd12.myworkdayjobs.com/Pax8Careers/job/Bristol-UK/Data---AI-Consultant_R-101990
- Excerpt: Data & AI Consultant 2 Locations posted: Posted Today

### Advanced Technology: R&D Engineer - AI/ML, HPC - Cerebras Systems
- Location: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-06
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691343003
- Excerpt: Advanced Technology: R&D Engineer - AI/ML, HPC Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing,

### Analytics Engineer - Dialpad
- Location: Kitchener, Canada (unspecified)
- Salary: CAD 86K-108K
- Posted: 2026-05-21
- Apply: https://job-boards.greenhouse.io/dialpad/jobs/8558973002
- Excerpt: Analytics Engineer Kitchener, Canada About Dialpad Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time. More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights. We're now leading the shift to Agentic AI: intelligent agents that don't just analyze conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more. Being a Dialer At Dialpad, AI isn't just a feature; it's how our teams do their best work every day. We put powerful AI tools in every employee's hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we've built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an Analytics Engineer, you will collaborate with business stakeholders across various departments to effectively leverage big data and provide

### Head of Data Center Acquisition - Cerebras Systems
- Location: Sunnyvale, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-08
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7728938003
- Excerpt: Head of Data Center Acquisition Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Why now Demand for Cerebras inference is high and climbing. We need ever-more power-ready data center capacity to meet demand for the world's fastest inference solution. Project facts often change as providers work through power, site, capital, design, security, and schedule issues. This work shapes customer delivery, capital use, and risk for years. The job demands a hands-on deal leader who can separate real capacity from optimistic claims and keep priority transactions on track. Role at a glance - Own the data center capacity pipeline

### Software Engineer - Sharding - Neo4j
- Location: Malmö (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-06
- Apply: https://boards.greenhouse.io/neo4j/jobs/4660616006?gh_jid=4660616006
- Excerpt: Software Engineer - Sharding Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world's largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we're disrupting how organizations leverage their data to innovate and stay competitive. The Role: We are looking for a software engineer to join the Neo4j Sharding Engineering Team. We own both Infinigraph and Composite products within Neo4j. Composite is the technology behind distributed query execution in the Neo4j Database Management System. Infinigraph is our database sharding offering for large data volumes, utilising a distributed database architecture. Both involve distributed query execution, which is a complex and interesting topic, involving query language design and implementation, as well as performant networking and

### Applied Machine Learning Research Scientist - Cerebras Systems
- Location: Sunnyvale CA or Toronto Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-05
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7655035003
- Excerpt: Applied Machine Learning Research Scientist Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As an Applied Machine Learning Research Scientist at Cerebras, you will play a key role in turning modern machine learning techniques into scalable, high-performance systems. This role sits at the intersection of modeling and systems focused not on publishing new algorithms, but on understanding how they work and making them run effectively at scale. Your work will directly impact how large language models (LLMs) are trained, optimized, and deployed on one of the most advanced AI platforms in the

### Applied AI Scientist - Multimodal Intelligence - Apple
- Location: Seattle, United States of America (unspecified)
- Salary: $172K-$302K
- Posted: 2025-12-11
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200636336/applied-ai-scientist-multimodal-intelligence?team=MLAI
- Excerpt: Applied AI Scientist - Multimodal Intelligence Seattle, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an Applied AI Scientist to work on the field of Generative

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