Stability AI jobs

AI Training - Machine Learning Specialist (PST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and

Agentic AI-Business Consultant | Enterprise Tokyo, Tokyo, JP

Software Engineer, Account Abuse San Francisco, CA | New York City, NY About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Account Abuse team is tasked with ensuring Anthropic's computing capacity is allocated fairly, minimizing resources available to bad actors and preventing them from coming back. As a software engineer on this team, you will build systems that gather and analyze signals at scale, balancing tradeoffs and coordinating closely with stakeholder teams throughout the company. The ideal candidate can see things from opponents' perspectives, understand their means and motives, and anticipate their responses to countermeasures. Responsibilities: - Ability to think and respond quickly in a rapidly-changing greenfield environment - Jumping into other teams' code to identify key points to gather signals or introduce interventions with minimal impact on their systems' stability, complexity, or overall architecture - Integration with third-party data-enrichment vendors - Creating monitoring dashboards, alerts, and internal admin UX - Working closely with our data scientists to maintain situational awareness of our current usage patterns and trends, and with our Policy & Enforcement team to maximize the impact of their human-review availability - Building robust and reliable multi-layered defenses - Lead root cause analyses and deep-dive investigations into account activity to

CPU Design Integration Engineer, Google Cloud Haifa, Israel; +1 more Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. Define and implement solutions for design, integration and verification problems using in-house and external technical solutions or tools. Involve in project development and convergence with the highest quality, agreement with issues as they arise through design and implementation, or equivalent relevant experience. Connect between RTL design, physical design, DFT, external IPs and SoC while maintaining project priorities. Maintain project infrastructure and stability. Ensure chip quality by implementing best practices and implementing quality control measures. Minimum qualifications: Bachelor's degree in Electrical Engineering, Computer Engineering, a related field, or equivalent practical

Senior Data & AI Engineer Remote Material Bank is the world's largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank connects thousands of designers with tens of thousands of materials from leading brands. Material Bank is the fastest and most powerful way for design professionals to search, sample, and specify materials. We're looking for a Senior Data & AI Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the intersection of data engineering, applied AI, and platform innovation, with the opportunity to shape how AI is embedded into the core of our business and customer experience. You'll be the technical lead defining how we build AI agents, with direct access to the teams interfacing with Snowflake with room to influence architecture decisions, and the chance to work across the full AI stack from data modeling and semantic layers to agent orchestration and production operations. This is an exciting opportunity for someone who is, at their core, a passionate data engineer with deep curiosity about AI and significant experience building strong data foundations before expanding into applied AI and agent based systems. We are looking for someone who enjoys solving complex technical problems, experimenting with emerging technologies, and turning ambiguous ideas into scalable, production ready solutions. Working hands-on with Snowflake Cortex as our primary AI platform,

AI Solutions Engineer Job Posting Country United States | Job Posting State/Province AR | Job Posting City Blytheville Job Details Division: Location: Job Posting City Blytheville, Job Posting State/Province AR, Job Posting Country United States Other Available Locations: Welcome to Nucor, where our unique culture sets us apart. Joining Nucor means becoming part of North America's largest steel and steel products manufacturer, offering unmatched career opportunities and stability. We are known for our innovative sustainability practices and are the continent's largest recycler. Our vibrant culture, built on personal connections and teamwork, empowers every team member with the freedom to innovate and contribute to our collective success. Experience a workplace where safety, efficiency, and meaningful personal connections define every day, enriching both our teammates and the communities we serve. Nucor supports its teammates with top-tier benefits like Medical, Dental, Vision, and Disability Insurance, 401K and Roth accounts, Profit sharing, Pay-for-performance bonuses, Paid parental leave, Tuition reimbursement, Stock program, Scholarships and more. Basic Job Functions: Nucor Business Technology (NBT) is seeking an AI Solutions Engineer to partner with business stakeholders and IT delivery teams to design, implement, and deploy advanced technical solutions that solve complex business problems. Embedded with our divisions, this high-visibility role combines strong engineering skills, systems thinking, and business partnership to accelerate delivery and adoption of modern platforms, analytics,

Senior Lead AI Engineer 5 Locations posted: Posted 21 Days Ago

Gen AI Solution Engineer In the assigned Job Role of Data Science Consultant 3, your Area Of Responsibility will be as below: • Review data preparation tasks, and plans to address patterns or anomalies, while ensuring data readiness for advanced modeling and AI. • Review models for complex use cases (e.g., forecasting models, LLM-based solutions), and refine algorithms to meet business needs. • Review plan for smooth deployment into scalable, production-ready solutions. • Review test plans and test results for analytics use cases, while defining optimization standards for model accuracy and stability, in alignment with business goals. • Build models and analytics solutions tailored to business needs. • Ensure quality and scalability across client engagements while actively contributing to knowledge assets and innovation streams. • Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions. • Review and refine analytics problems; identify data sources and extract from diverse environments. • Oversee analysis execution and drive business insights. • Create monitoring strategies across multiple projects, embedding governance frameworks to ensure robustness, reliability, and risk awareness. • Review monitoring frameworks, refine documentation/reporting templates, and present insights on anomalies or slippages to stakeholders. • Refine documentation strategy across teams, ensuring transparency and reproducibility of complex analytics solutions. • Collaborate with cross-functional teams, ensuring alignment between analytics delivery and business strategy. • Review analytics outputs for adherence to quality frameworks and project commitments. • Recommend improvements to

AI Training - Machine Learning Specialist (EST) Remote *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="7d8c6042-ac58-4acb-b90b-d08242002c4b" data-testid="conversation-turn-6" data-scroll-anchor="true" data-turn="assistant"> *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="788a8b78-cfcd-42e1-beb1-30da5949a95d" data-testid="conversation-turn-8" data-scroll-anchor="true" data-turn="assistant"> AI Trainer - Machine Learning Specialists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for AI Trainer - Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $150/hr per AI task completed . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter. What you'll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and

Performance & Reliability Engineer Sunnyvale, CA; 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 Cerebras as a Performance & Reliability Engineer within our innovative Co-Design and Next Generation Team. Our groundbreaking CS-3 system has set new benchmarks in high-performance ML training and inference solutions. It leverages a dinner-plate sized chip with 44GB of on-chip memory to surpass traditional hardware capabilities. This role focuses on characterizing and optimizing the performance and reliability of state-of-the-art AI models running on Cerebras' breakthrough hardware. Responsibilities - Characterize and enhance the performance and reliability of advanced ML hardware/software

Senior Infrastructure Engineer San Francisco | Hybrid | Remote ABOUT US Weekend https://www.weekend.com/ is the leading developer of voice AI games for smart TVs. Our games attract millions of users every month, with family favorites like Jeopardy!, Song Quiz, CoComelon: Sing and Play with JJ, and Wheel of Fortune. We believe voice interfaces will become the main way people access entertainment in their living rooms, kitchens, bedrooms, and cars. We're building a bundled subscription product similar to Netflix or Spotify for the emerging category of “AI-powered games.” Weekend was founded by Max Child and James Wilsterman in 2024. The founders went through Y Combinator in 2018 and landed a spot on the 2022 YC Top Companies List. We're a quickly-growing team headquartered in Union Square, San Francisco. ROLE SUMMARY Weekend is seeking a Senior Infrastructure Engineer to ensure the stability, security, and scalability of our infrastructure as our AI gaming platform grows. You'll own our Kubernetes cluster, lead security improvements, drive infrastructure automation and best practices, administer AWS accounts, and serve as the primary infrastructure partner for our software engineering teams. This is a foundational role - you'll directly enable Weekend's game teams to move fast without compromising reliability. This job opportunity offers a hybrid work arrangement, and we are specifically seeking candidates who are comfortable with on-site attendance in our Bay Area office 3 times per week and are either currently residing in or near the Bay Area or willing to relocate for on-site work. WHAT YOU'LL DO AT

AI Infrastructure Operations 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 seeking a highly skilled and experienced AI Infrastructure Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep

Engineering Manager New York, New York, United States Join VTS as an Engineering Manager. As a technical leader, you'll drive high-impact, customer-facing projects across major features in web and mobile. You'll play a pivotal role in advancing VTS's evolution into an AI-powered platform, further cementing our industry-leading position. In this role, you will be responsible for fostering a healthy and collaborative culture, guiding the team's execution and delivery, and mentoring engineers to grow their careers and capabilities. ** Please note that this opportunity is located in New York, NY, and requires this hire to work from our office 4 days a week. ** To thrive in this role, you have: - Proven experience leading software teams using agile development methodologies. - A strong technical background with a proven track record of building, deploying, and maintaining scalable web applications, services, and third-party integrations. - Experience working on high-impact, business-critical domains, where reliability, performance, and operational stability are essential. - Demonstrated ability to recruit and develop talent, strengthening the team's capabilities through effective coaching and mentorship. - The ability to engage in strategic technical discussions, adeptly manage technical tradeoffs and risks, and ensure alignment with product and business goals, especially in environments involving multiple systems and external partners. - A sense of empathy for the customer and a relentless focus on shipping high-quality products. - Excellent communication skills that empower you to effectively convey ideas, coach, mentor, and educate others. - A keen interest in building AI-backed features and leveraging AI as

Lead AI Engineer, AI Foundations 4 Locations posted: Posted 30+ Days Ago

Senior Account Executive - Life Sciences Remote Senior Account Executive - Life Sciences (US Remote) ➡️ Ready to move beyond data subscriptions and legacy platforms to sell a category-leading, AI-native solution trusted by the world's most innovative pharmaceutical and biotech organisations? ➡️ What if the platform you sold could help accelerate scientific breakthroughs, reduce R&D risk, and influence the next generation of innovation across Life Sciences? ➡️ What if you could combine the stability of a VC-backed Unicorn with the opportunity, autonomy, and upside of a high-growth market still rich with whitespace opportunity? If this sounds like your next move, we'd love to hear from you. Role Summary: We're hiring a Senior Account Executive to play a pivotal role in the next phase of growth for one of PatSnap's most strategic and fastest-growing verticals. This is an opportunity to join a business that is redefining how Life Sciences organisations discover, protect, and commercialise innovation. Trusted by leading pharmaceutical, biotech, and medical device companies worldwide, PatSnap's AI-native platform combines patent intelligence, scientific literature, clinical trials, regulatory data, and market insights to help customers make better decisions across the innovation lifecycle. With our Life Sciences business growing 20%+ YoY, significant investment in AI, and ambitious expansion plans, there has never been a more exciting time to join. As a Senior Account Executive, you'll lead strategic, consultative sales cycles with some of the most innovative pharmaceutical, biotech, and medical device organisations in the world. You'll engage senior stakeholders across R&D, Innovation, IP, Competitive

SAP Senior Basis Consultant About Us: Infosys is a global leader in next-generation digital services and consulting. Over 320,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in 59 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help you navigate your next. Recognized as the #1 Top Employer in Australia for the second year in a row, Infosys offers a workplace where careers grow with purpose. As an AI‑first organization, we empower our people to work on next‑generation technologies, continuously learn, and create impact at scale-supported by a culture rooted in care, inclusion, and excellence. ▶️ Join Infosys and be part of a culture that's not just promised-it's certified. #TopEmployer2026 #ThriveAtInfosys Role Description: We are seeking a skilled SAP Basis Consultant to support SAP system administration, implementation, and operations across S/4HANA landscapes. The role involves managing system performance, ensuring stability, and supporting technical activities across implementation,

AI Engineer 2 Locations posted: Posted 30+ Days Ago

AI Solutions Architect – AI & Enterprise Engineering

Process Excellence Manager Sunnyvale About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role We're looking for a Process Excellence Manager to join Wayve's Systems & Insights team, helping design and scale the operational systems that power our global Fleet Operations. This role is ideal for a Lean Six Sigma Black Belt (or equivalent) who thrives in dynamic, high-growth environments and has a proven track record of driving measurable improvement in operational performance. You'll lead critical process improvement initiatives across our global test network-spanning the UK and international sites-working cross-functionally to reduce waste, improve process stability, and enable repeatable, high-quality delivery at scale. This role is key to our transformation from an R&D-focused

Staff Software Engineer, Embedded Systems/Firmware, XR Miami, FL, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. The Android XR Platform Team is the architectural backbone for Google's spatial computing future. We are strategically aligned to develop a unified software platform that scales across the full hardware spectrum-from high-fidelity Headsets to next-generation AI Glasses. Our mission is to bridge the gap between low-level embedded systems and ambient AI, delivering the common core technologies that ensure performance, stability, and security are built into the foundation of every device. In this role, you will be responsible for defining this technical roadmap and building a engineering organization capable of solving the unique power, thermal, and latency challenges of wearable AI, ultimately ensuring architectural

AI Engineer, AI & Applications Singapore or Australia Role Summary The AI Engineer will establish Firmus AI Factory as the foundation for efficient, production-grade distributed training by delivering pre-built training recipes (TorchTitan, Megatron etc.), evaluation benchmarks, and model guidance. You'll work with customers and internal teams to optimize training efficiency, define baselines, and document best practices. Your templates and benchmarks are the anchor point for our hyperscale customers' training workflows and our model arena differentiator. Key Responsibilities - Build production-ready training recipes using TorchTitan and Megatron-LM: model configs, parallelism strategies (FSDP, tensor/pipeline parallelism), checkpointing patterns. - Document parameter tuning for different scales (e.g., "to train Llama 7B on 8xH100s, use this config and expect X throughput"). - Create and validate multi-node NCCL communication patterns on AI Factory K8s/Slurm clusters. - Design and build benchmarking suites: accuracy, latency, throughput (tokens/sec), cost per token, energy efficiency, MFU. - Implement offline evaluation harnesses for standardized model comparison and leaderboard tracking. - Conduct fine-tuning experiments (LoRA, QLoRA) where they improve product outcomes (e.g., ops domain data), document gains. - Create training efficiency playbooks and publish benchmark results so customers can optimize workloads. - Partner with job scheduling and orchestration engineers on template integration and other AI engineers and software engineers on model optimization trade-offs for inferencing and AI applications. Skills & Experience - 5-7 years of experience in distributed machine learning (PyTorch/JAX, FSDP, DeepSpeed, multi-node training at 10+ GPUs). - Expert-level understanding of GPU optimization: utilization, memory patterns, communication bottlenecks (NCCL collectives). - Hands-on

Manager Artificial Intelligence – AI/ML India Office posted: Posted 3 Days Ago

Customer Success Manager San Francisco About Bland AI At Bland, we're building the most human AI phone agents in the world. We're a Series B startup backed by Emergence Capital, Y Combinator, and the founders of PayPal and Twilio, and we've raised $65M to reimagine the future of customer communication. Today, we're a 60 person team powering voice automation for companies like Better.com http://Better.com, helping them deliver friendly, helpful, and human-like conversations at massive scale. And now we're hiring our next game-changing teammate: a Technical Account Manager (TAM) who lives at the intersection of customer success, and solutions. Why this role exists We need someone who will take control of post-sales, enforce clarity, and drive customers to value fast. Someone who doesn't wait for direction, they build the plan, run the room, unblock deployments, collapse timelines, and turn customer confusion into clean, repeatable execution. Someone who can stabilize accounts, surface real risks, tighten the feedback loop, and aggressively identify expansion opportunities. That's the founding Technical Account Manager: the person who owns outcomes, commands the customer relationship, and turns our product into an undeniable business impact at speed. What you'll do - Drive Customer Outcomes - You'll own the post-sales journey end-to-end, ensuring every customer launches quickly, hits quantifiable KPIs, and sees unmistakable ROI from our agents. That means diagnosing blockers before they become problems, pushing customers toward high-value use cases, and turning every deployment into a measurable win for both their business and ours. - Cross-Functional Problem Solving - Partner

Senior Machine Learning and AI Engineer Toronto, ON, CAN posted: Posted 4 Days Ago