Strong Compute jobs

Electrical Drafter Austin, TX, Austin, Texas, United States Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview Saronic is seeking a skilled Electrical Drafter responsible for creating detailed Schematics and Harness Assembly drawings based on the specifications provided by engineers. These drawings serve as blueprints for manufacturing of harnesses. The role requires a strong understanding of technical drawing principles, knowledge of Zuken E3 or equivalent software, and the ability to translate complex information into clear and accurate representations. Drafter must also possess strong attention to detail, problem-solving skills, and the ability to work collaboratively with other team members to ensure that projects are completed efficiently and accurately. Responsibilities - Prepare detailed harness assembly drawings using Zuken E3 ensuring drawings contain all information required for manufacturing and installation (wire lists, connector callouts, labels, notes). - Collaborate with engineers to incorporate design requirements into drawings. - Review and revise drawings to meet project specifications and standards. - Use NX computer-aided design (CAD) software to route harnesses in 3D per design standards. - Maintain up-to-date knowledge of military and industry assembly standards such as IPC/WHMA-A-620 - Provide technical support and troubleshooting during the construction a harness and its integration into the vessel. - Manage documentation and filing systems for drawings and project records. - Communicate effectively with project managers, clients, and other stakeholders. Qualifications & Skills - Proficiency in computer-aided design (CAD) software such as NX,

HPC Software Engineer 3 Fort Meade, Maryland T-Rex is looking for a fully cleared HPC Software Engineer 3 to work on a program in the Fort Meade, Maryland area in support of the Intelligence Community. Responsibilities: The HPC Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software for HPC (high performance computing) systems based upon documented requirements. Critical for an HSE is either a very strong math background and/or a very strong computer hardware background. One or both of these is required in order for the HSE to be able to understand the intricacies of the HPC architecture that is being targeted by the software being developed, or to understand the complex mathematical principles which underlie the software applications being developed. The HPC systems might include, but are not limited to, processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Open Source Software (OSS) and/or Commercial Off-The-Shelf (COTS)/Government Off-The- Shelf (GOTS) software in place of new development, and requirements analysis and synthesis from system level to individual software

Senior Staff Algorithm Engineer, Recommendation APAC Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Role You will own the technical direction of OKX's next-generation social feed recommendation system - evolving it from a content feed into a unified recommendation engine that surfaces both content and platform features. Your decisions directly shape the experience of tens of millions of users and drive platform trading conversion. Responsibilities - Elevate the Ranking System - Drive continuous ranking model iteration with measurable impact on user retention and trading conversion - Unify User Understanding - Build a cross-domain intent framework spanning content consumption, feature usage, and search, shifting the system from "what users clicked" to

Monitoring Engineer San Francisco, CA, United States Company Description: At Gap Inc. IT, we value innovation and thrive on the opportunity to fundamentally change the shopping experience for our customers through leading technology. We look for fresh perspectives and experienced professionals who then have the opportunity to work with thought leaders across the business and IT. Our team members are not just innovators in the technology space; our success is measured by our ability to drive operational and top-line improvement for our brands. If you thrive in a solutions oriented environment, then consider joining our team! Job Description: The purpose of this role is to implement and maintain an end-to-end application and infrastructure monitoring framework. Support and enhance existing monitoring infrastructure (Nagios, Cacti) Evaluate new tools and technology to provide application and infrastructure monitoring. Build log mining tools Responsible for building and maintaining support tools integrations (monitoring, ticketing, dashboard) Develop components of enterprise monitoring Develop cross-platform monitoring architecture for virtualized compute and storage infrastructure and develop rules, alerts, and notifications Develop components of application monitoring and develop rules, alerts, and notifications. Collaborate with engineering teams on monitoring requirements Qualifications: Bachelor's Degree in Computer Science or equivalent practical experience 3+ years of experience in enterprise environment is required with several Unix platforms (RHEL, AIX, Solaris) and Wintel. 3+ years of experience with working with monitoring solutions (Nagios, Zenoss, Cacti) 3+ years experience developing tools and scripts in Shell scripts, Python, or Perl. Strong understanding of monitoring interfaces SNMP, SSH Strong TCP/IP

Full-Stack Data Scientist - Supply & Core Portugal, Lisbon 💙 About Bounce... Bounce is building cloud storage for the physical world, starting with the largest global luggage storage network in existence. Bounce's marketplace connects travelers with 30,000+ small business locations worldwide for hyper-local short term baggage storage. With more locations globally than Burger King, and more locations in New York City than Starbucks, Bounce has served 3M+ users and stored 10M+ bags, and paid over $10M to small business partners. To achieve this, Bounce is a fast-paced and scrappy team. We believe that experimentation fuels innovation, so we move quickly, testing new ideas and adapting in real time. If you're ready to make an impact in a high-energy, close-knit, and collaborative environment - Bounce is the place where you can move fast, think big, and shape the future of travel. Join us as we make the world a lighter, more accessible place! Bounce has been named the Inc5000's fastest-growing travel company in the USA in 2024 and is proudly backed by leading Silicon Valley investors, including Andreessen Horowitz, General Catalyst, and Sapphire. (Learn more about Bounce's Series B HERE and also learn about our Japan Expansion HERE ) About the role… A marketplace is only as good as the supply behind it. As a Senior Full Stack Data Scientist on the Supply & Core pillar, you will own the data that powers Bounce's network of 20,000+ partner stores - where we should grow, which partners perform, and how we keep

Java with AI Engineering - Vice President PUNE, Mahārāshtra, India

Senior Software Engineer, ML Data San Francisco, CA | Hybrid | Remote SENIOR SOFTWARE ENGINEER, ML DATA San Francisco, CA · Hybrid · Reports to Head of Vision & AI WHO WE ARE Voxel is building the future of Computer Vision and Machine Learning for operations, risk, and safety. We use computer vision and AI to enable existing security cameras to automatically detect hazards and high-risk activities, keep people safe and drive operational efficiencies. Our technology addresses the key cost drivers for workers' compensation, general liability, and property damage, which cost US employers over $500 billion annually. Our customers include Fortune 500 companies across grocery, retail, manufacturing, food and beverage, logistics, and pharmaceutical distribution. We've passed $10M ARR with strong expansion revenue. Based in SF, backed by industry-leading VCs. ABOUT THE ROLE Voxel's perception system is the technical core of everything we ship. Our models detect human activity, equipment interactions, environmental hazards, and operational state in real time across thousands of cameras in manufacturing, logistics, retail, and pharmaceutical environments. Safety was our wedge; it proved our platform works. Now customers are pulling us into operations: equipment utilization, workflow compliance, process efficiency. Every new use case runs through the perception team. We're hiring a strong software engineer to own the data infrastructure required to train and evaluate our ML models. You'll work with petabytes of data streaming from thousands of live customer cameras, and build pipelines to ingest, search, label, version and store the highest quality of data required to train

(Senior) Consultant Advanced Technology (all genders) Munich, BY, Germany Company Description: Job Description: The Roland Berger Advanced Technology Center supports automotive, industrial, and technology clients globally to master the challenges and opportunities that new technologies such as software, electronics, semiconductors, sensors, actuators, energy storage, and quantum computing bring to their businesses and markets. Together with our clients, we develop successful strategies globally. We rely on the combination of an excellent understanding of business and deep technological know-how. Thus, we are looking for candidates who can bridge the technology and business world. In our projects we help our clients (e.g., startups, established players, investors, newcomers) to master technology-triggered disruptions across industry, automotive and consumer applications. Our assignments typically focus on growth strategies and business transformation Qualifications: University degree with excellent academic achievements in technology related studies, e.g., in electronics, microelectronics/semiconductors, physics, technology, computer science ideally in combination with an MBA or other economic studies Alternatively, university degree with excellent academic achievements in any field combined with a strong interest in technology-driven topics and their impact on business Typically, 2-5 years of professional experience in technology driven companies - ideally in roles with exposure to inhouse strategy, business development or consulting Excellent sense for business trends and the ability to bridge technology and business Know-how of technology trends e.g., in power electronics, semiconductors and their strategic implications An excellent overview and interest related to latest technological developments Strong leadership skills, especially in bringing people with different mindsets together Excellent analytical and problem-solving

Senior Software Engineer, Product Platform USA About PushPress PushPress is the AI-powered gym management platform built for boutique fitness. We are transforming how boutique fitness owners operate and how the entire $100B global fitness industry connects, transacts, and grows. Trusted by more than 5,000 gyms and 500,000 members, PushPress processes ~$1B annually. We're a Series B company backed by Altos Ventures, StepStone, and Mucker Capital, and we're going all-in on AI. Our AI Assistant, AI Member Intel, and AI-powered reporting tools are already changing how gym owners and coaches operate. We believe AI should make the human side of fitness better, not replace it. By embedding intelligence directly into the product, we enable boutique fitness owners to make faster decisions, unlock new revenue streams, and collaborate across a connected network. As more gyms join the platform, data compounds, intelligence strengthens, and the value of the ecosystem increases for every owner. We are a global team of builders, operators, and fitness fanatics on a mission to level the playing field for independent fitness entrepreneurs. If you are ready to help reshape an industry, let's talk! About the Role PushPress, at its core, is a technology company. We're building an elite engineering team that thrives on innovation, collaboration, and shipping impactful, cutting-edge solutions as we scale toward an AI-driven product ecosystem. We're hiring a Senior Software Engineer, Product Platform: a full-stack engineer who can ship product features and build the internal systems and tooling that let the rest of engineering move faster.

Legal Administrative Assistant Roseville, CA - HQ About GoodLeap: GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap's proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018. GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America. The Legal Administrative Assistant who will provide support to one or more in-house attorneys. This is a highly collaborative position, dedicated to providing high-quality administrative support. Must be flexible and adaptable, with strong communication, computer, organization and writing skills. This role will be supervised by the Assistant General Counsel. The Legal Administrative Assistant who will provide support to one or more in-house attorneys. This is a highly collaborative position, dedicated to providing high-quality administrative support. Must be flexible and adaptable, with strong communication, computer, organization and writing skills. This role will be supervised by the Assistant General Counsel. About GoodLeap: GoodLeap is

Principal AI Compiler Engineer 2 Locations posted: Posted 26 Days Ago

Data Science Intern - Fall 2026 Atlanta, Georgia, United States At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development while researching innovative approaches to projection and line-setting in daily fantasy sports. Ideal candidates have a strong technical background in computer science, statistics, or related fields, with proficiency in Python and SQL, and a passion for sports analytics and prediction markets. What you'll do: - Learn from the PrizePicks data science team how we approach sports projection modeling, line calibration, and hold optimization across dozens of sports and stat types. - Contribute to model development, iteration, and data collection for player performance projections and pricing. - Research new approaches to fantasy sports challenges - calibration, probabilistic forecasting, line movement, and stat-level modeling. What you have: - Demonstrable history of projects that are sports-focused or involve probabilistic modeling, forecasting, or prediction markets. - Strong technical or quantitative background pursuing a degree in computer science, statistics,

Machine Learning Engineer San Francisco | OnSite ABOUT US Relace is building the models and infrastructure that code agents reach for. We power the fastest model on OpenRouter (10,000 tok/s) and deliver optimized small language models designed for retrieval, application, and core code generation functions. Our technology supports some of the world's fastest-moving companies - including Lovable, Figma, and Vercel - as they deploy and scale code generation to hundreds of millions of users. We recently raised our Series A from a16z, and we're growing quickly. Our team is made up of mathematicians, physicists, and computer scientists who are deeply passionate about their craft. If you thrive on ambitious technical problems, care about elegant systems design, and want to build the foundation of how code gets written at scale, this is the place for you. THE ROLE We're looking for a Machine Learning Engineer who loves getting close to the metal. This is a hands-on engineering role focused on making models faster, more efficient, and more reliable through low-level optimizations and smart systems design. The ideal candidate is excited by CUDA kernels, memory layouts, GPU scheduling, and squeezing performance out of complex training and inference workloads. They should be just as comfortable optimizing compute and networking paths as they are working alongside research teams to productionize new architectures. This is a role for someone who enjoys deep performance tuning, understands the realities of running large-scale ML systems, and thrives in fast-moving, high-leverage environments. REQUIREMENTS - Strong background in systems-level ML

Research Engineer, Reasoning & Memory - SIML Cupertino, United States of America The System Intelligence and Machine Learning (SIML) Content Understanding teams are seeking a Research Engineer in Reasoning & Memory Systems. You will be working alonside teams that are in charge of operating system wide embeddings, personalized RAG workstreams, tool calling, context compaction / efficiency & memory systems. Projects are focussed on advancing Apple Intelligence capabilities, while working closely across disciplines with our partners in hardware engineering, design and product. Selected references to our prior work (a) https://arxiv.org/pdf/2507.13575, (b) https://arxiv.org/pdf/2407.21075, (c) https://www.apple.com/newsroom/2024/12/apple-intelligence-now-features-image-playground-genmoji-and-more/ Important attributes expected in the role is fluency in algorithm development (prompt optimization, post training / alignment), and experience with automatic evaluation techniques. The role includes the opportunity to partner with world class system engineers to prototype and incorporate bleeding edge algorithmic innovations in the context of emerging agentic experiences Other responsibilities include testing and upkeep of training infrastructure, whiled partnering with safety/security teams on emerging robustness challenges while aligning models/agents to production needs. Ability to interface with large scale data infrastructure is a huge plus. Apple has a thriving Machine Learning research community. It is expected that role offers the candidate an opportunity to form a strong network of collaborators across the company, while sharing research progress with senior technical leaders at a regular cadence. Minimum Qualifications: PhD, or MSc in Computer Science/Electrical Engineering, or a related field (mathematics, physics or computer engineering); with a focus on machine learning, or comparable professional experience Strong ML and

Staff Technical Lead for Inference & ML Performance San Francisco fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. Why this role matters You'll shape the future of fal's inference engine and ensure our generative models achieve best-in-class performance. Your work directly impacts our ability to rapidly deliver cutting-edge creative solutions to users, from individual creators to global brands. What you'll do Day-to-day What success looks like Set technical direction. Guide your team (kernels, applied performance, ML compilers, distributed inference) to build high-performance inference solutions. fal's inference engine consistently outperforms industry benchmarks in throughput, latency, and efficiency. Hands-on IC leadership. Personally contribute to critical inference performance enhancements and optimizations. You regularly ship code that significantly improves model serving performance. Collaborate closely with research & applied ML teams. Influence model inference strategies and deployment techniques. Seamless integration of inference innovations rapidly moves from research to production deployment. Drive advanced performance optimizations. Implement model parallelism, kernel optimization, and compiler strategies.

Senior Product Manager, AWS Neurosymbolic AI Boston, Massachusetts, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Apple Intelligence Senior Cloud Performance Engineer Seattle, United States of America Join the Apple Service Engineering (ASE) team and drive innovation that matters! The ASE team builds and provides systems and infrastructure that fuel Apple's services. As part of this team, you will be responsible for building and integrating technologies that enhance people's lives. We are also tasked with enabling Apple Intelligence and Private Cloud Compute in the cloud. We are seeking a System Performance Engineer with a proven track record of developing technology that has made a significant impact. Collaborate cross-functionally with architecture, platform design, SOC architects, and software teams to deliver exceptional end-to-end performance that delights our customers. In this role, you'll be responsible for the performance of one or more products. Specifically, you'll be tasked with ensuring the performance of Private Cloud Compute running Apple Intelligence in the cloud. This position demands technical expertise and depth to work on various elements of the stack, from SOC to the platform along with the software stack. You'll collaborate with architecture and software teams to define the product and set its power and performance targets and develop automation and infrastructure tools to evaluate the performance of our Apple Intelligence products. Strong problem-solving skills and effective communication are crucial for success in this role. Minimum Qualifications: 10+ years of experience as a Performance Engineer Strong experience in data and AI-related fields such as software architecture or AI engineering, software development, data science, data analysis, or data lead roles, with experience across

Operations Production Coordinator (PM Shift) Tempe, AZ, United States Company Description: AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description: The Operations Coordinator is responsible for the building's material and document management. The Operations Coordinator will manage weekly production schedules and coordinate day to day activities with various cross functional team and external vendors. Strong knowledge of SAP, basic computer programs and manufacturing monitoring systems required. Strong communication skills and attention to detail are required. Perform other duties as assigned by Supervisor. The shift schedule is night shift, every other Wednesday and Thursday-Saturday. Responsibilities Understands production scheduling and workflow, material control, quality, cGMP, GDP, and safety as part of job duties. Utilizes computer to manage weekly schedule, perform transaction in inventory system (SAP) to manage materials for production. Interface with company's electronic system to generate, release, and close out batch records and/or any other documents. Interface with manufacturing monitoring system to track and trend data. Coordinates the delivery of raw materials and/or commodities needed to meet production schedule. Ensure inventory accuracy and maintain 5S

Senior Staff Algorithm Engineer USA CA - Irvine Laguna Canyon posted: Posted 2 Days Ago

Principal Product Manager, AWS Neurosymbolic AI Seattle, Washington, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Principal Member of Technical Staff - Autonomous Database India, IN The Autonomous Database cloud service framework automates deployment, scaling and management of databases in the cloud and is built on top of Oracle's Cloud Infrastructure (OCI) Layer. The framework features APIs to handle all lifecycle management operations of databases. It also performs operations autonomously based on internal and external events. The team has the unique opportunity to make significant contributions to the full stack of Oracle technology, from database kernel to cloud service platform and to customer-facing portals. Projects include enhancements to the core database kernel architecture, automation of tenant database lifecycle management, autonomous database management and tuning, integration with other Oracle cloud services, and extending platform for customers to build application services. We are a dynamic and enthusiastic team with great emphasis on go-getters and proactive individuals. Overview from oracle.com with links to other collateral: https://cloud.oracle.com/en_US/datawarehousehttps://www.oracle.com/database/autonomous-database/feature.html Preferred Qualifications: BS/MS degrees in Computer Science or Computer Engineering Strong, object-oriented design and coding skills (Java, Scala, Python, C/C++) Good understanding of Cloud architecture, security, networking, monitoring and deployments Hands on experience on any one cloud - AWS, Azure, Google or Oracle is a must Experience building scalable, highly available and secure distributed multi-tiered systems Experience with relational databases Strong knowledge in Rest API development Experience in infrastructure automation through Terraform, Chef, Ansible, Puppet, Packer or similar Experience in operating high-throughput software systems in cloud environments Ability to achieve stretch goals in a fast paced environment Design, develop, troubleshoot and debug software

Machine Learning Engineer, Alexa AI Boston, Massachusetts, USA The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference. As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions. Key job responsibilities The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment. Responsibilities- - Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility. - Work closely with Applied scientists to process data, scale machine learning models - Will work in an Agile/Scrum environment to deliver high quality software. About the team Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is

On-device ML Infrastructure Engineer, Compiler & Runtime, Graphics, Games & ML Cupertino, United States of America Imagine being at the forefront of an evolution where modern AI meets the elegance of Apple silicon. The On-Device Machine Learning team transforms groundbreaking research into practical applications, enabling billions of Apple devices to run powerful AI models locally, privately, and efficiently. We stand at the unique intersection of research, software engineering, hardware engineering, and product development, making Apple the leading destination for machine learning innovation. Our team builds the essential infrastructure that enables machine learning at scale on Apple devices. This involves onboarding powerful architectures to embedded systems, developing optimization toolkits for model compression and acceleration, building ML compilers and runtimes for efficient execution, and creating comprehensive benchmarking and debugging toolchains. This infrastructure forms the backbone of Apple's machine learning workflows across Camera, Siri, Health, Vision, and other core experiences, contributing to the overall Apple Intelligence ecosystem. We're building an end-to-end developer experience for machine learning development that brings to bear Apple's vertical integration. This allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling, and analysis. If you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful cluster, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. We are seeking an experienced ML Infrastructure Engineer with a specific

Senior Machine Learning Applications and Compiler Engineer, LPX 2 Locations posted: Posted 30 Days Ago