Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncVirtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAWhat youll do: - Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams - Design models for usability and performance - your customers are software engineers who need to run real workloads on your platform efficiently - Develop and improve the virtual platform infrastructure: QEMU integration, simulation performance, build and release tooling, and customer-facing documentation - Work with software teams (your primary customers) to understand their workflows, debug issues on the platform, and shape the model to maximize their productivity - Drive simulation performance improvements so the platform can handle increasingly complex workloads at scale - Contribute to model architecture decisions - choosing the right level of abstraction and fidelity for each subsystem based on customer needs Why this role is interesting: - Youll own a product that software teams across AWS depend on - they literally cant start development without your virtual platform - The engineering challenges are genuinely interesting: full-system simulation, multi-subsystem integration, QEMU development, performance optimization at scale - Youll see the direct impact of your work when software teams hit the ground running on new silicon - As the team grows, theres a path into architectural modeling - using the platform to explore design alternatives and influence chip architecture - Small team, startup pace, big impact inside AWSs custom silicon org You will thrive in this role if you: - Have built functional models, virtual platforms, or system-level simulations for SoCs, ASICs, GPUs, or CPUs - Think of yourself as a software engineer first, with deep domain knowledge in chip architecture - Are comfortable in C++ or SystemC, and familiar with Python for tooling - Care about your customers experience - you think about usability, documentation, and reliability, not just model accuracy - Are interested in expanding into performance or architectural modeling as the team scales - Enjoy working on a small, high-impact team where you own significant pieces of the stack No ML background needed. Our team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives.
Senior SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncSenior SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAOur organization builds both the SoCs and the low-level software stack that brings these chips to life - drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface.
SoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncSoC Systems Software Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAOur organization builds both the SoCs and the low-level software stack that brings these chips to life - drivers that expose the hardware to the OS, runtime libraries that orchestrate computation, and collective communication software that coordinates thousands of chips working together across a network. Collaborate with chip architects, RTL designers, modelers, compiler engineers, and ML framework teams to co-design and validate the hardware/software interface.
Senior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncSenior Virtual Platform Software Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAOur team builds virtual platforms - full-system C++ and SystemC models of these custom SoCs - that let software teams start development months before silicon arrives. What youll do: Build and own functional models of SoC subsystems that integrate into our full-system virtual platform, used by firmware, driver, runtime, and application software teams.
Senior Machine Learning Data Curation Engineer XPENGSenior Machine Learning Data Curation EngineerSanta Clara, CA$174,720–$295,680 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. Key Responsibilities: Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
Machine Learning - Postdoctoral Researcher Lawrence Livermore National LaboratoryMachine Learning - Postdoctoral ResearcherLivermore, CAExperience developing, implementing and applying advanced statistical or machine learning models and algorithms using modern software libraries such as PyTorch, TensorFlow, or similar as evidence through medium to large scale deep learning models and experiments. Demonstrated ability and desire to obtain substantial domain knowledge in fields of application to enable effective communication with subject matter experts, and to identify novel, impactful applications of machine learning.
Software Engineer Systems Machine Learning - Frameworks Meta Platforms IncSoftware Engineer Systems Machine Learning - FrameworksSunnyvale, CADegree must be completed prior to joining Meta Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Python and C/C++ programming skills Experience in AI framework development or accelerating deep learning models on hardware architectures Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development Knowledge of GPU, CPU, or AI hardware accelerator architectures Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Meta builds technologies that help people connect, find communities, and grow businesses.
NewMachine Learning Systems Researcher LightmatterMachine Learning Systems ResearcherMountain View, CA$186,000–$240,000 / yearThis role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research. The company invented the world's first 3D-stacked photonics engine, Passage, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Machine Learning Researcher AlljoinedMachine Learning ResearcherSan Francisco, CaliforniaA bachelor’s degree in computer science or a related field—such as artificial intelligence, computational neuroscience, mathematics, or biomedical engineering—and five to seven years of experience in machine learning research or applied machine learning engineering; or. D.) in computer science or a related field—such as artificial intelligence, computational neuroscience, or biomedical engineering—and at least three years of experience in machine learning research or applied machine learning engineering.
Head of Machine Learning (Fraud & Risk) – Remote Glint Tech SolutionsHead of Machine Learning (Fraud & Risk) – RemoteSunnyvale, CaliforniaRemoteYou'll lead a high-performing ML team while remaining technically credible, partnering closely with Product, Engineering, and Executive Leadership to develop production-grade machine learning systems that directly impact the business. This is a highly visible leadership role responsible for building and scaling the next generation of fraud detection and risk decisioning products.
Research Engineer - Reinforcement Learning, Self-Driving Applied IntuitionResearch Engineer - Reinforcement Learning, Self-DrivingSunnyvale, CaliforniaSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. Conduct research on reinforcement learning (RL) and its training infrastructure, including topics on large-scale self-play RL, VLA post-training, large-scale closed-loop RL based on neural simulation with applications to autonomous driving.
Machine Learning Modeling Lead - Credit Modeling ExlService Holdings IncMachine Learning Modeling Lead - Credit ModelingSan Francisco, CA$202,000–$280,000 / yearThe ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. We are seeking a highly skilled and experienced Machine Learning Modeling Lead - Credit Modeling to join our ML Model Innovation team within the banking/fintech domain (digital lending).
NewAvionics Mechanical Engineer (All levels) Impulse SpaceAvionics Mechanical Engineer (All levels)Redondo Beach, CAThis position requires applicants to be either U.S. Persons (i.e., U.S. citizen, U.S. national, lawful permanent U.S. resident (green card holder), an individual granted asylum in the U.S., or an individual admitted in U.S. refugee status) or persons eligible to obtain an export license from the U.S. Departments of State, Commerce, or other applicable U.S. government agencies. Lead and contribute to CoDRs, PDRs, and CDRs, clearly communicating design rationale, tradeoffs, and risks to cross-functional stakeholders.
Senior Machine Learning Engineer KikoffSenior Machine Learning EngineerSan Francisco, CaliforniaProficient in building predictive models, performing statistical analysis, and utilizing machine learning algorithms to identify trends, patterns, and opportunities for optimization. Analytical Skills: Strong problem-solving skills with the ability to analyze complex data sets, apply advanced data science techniques, and derive actionable insights.
NewFounding Engineer - ML Research CleraFounding Engineer - ML ResearchMountain View, CA$220,000–$300,000 / yearYou'll work directly with the founding team to build and scale the AI research backbone from the ground up, sitting at the intersection of applied machine learning and systems engineering. Deep familiarity with PyTorch, JAX, or TensorFlow, and hands-on experience with model architectures such as Transformers, Diffusion models, or RLHF.
Senior Machine Learning Engineering Manager Roblox CorpSenior Machine Learning Engineering ManagerSan Mateo, CA$295,250–$345,040 / yearYou'll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives.
AIML - Machine Learning Researcher, MLR Apple IncAIML - Machine Learning Researcher, MLRCupertino, CAAs a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues. Strong mathematical skills in linear algebra and statistics PhD or equivalent practical experience in Computer Science or a related technical fieldAbility to formulate a research problem and design, experiment, implement, and communicate solutions.
NewAI/ML Engineer HopAI/ML EngineerSan Francisco, CAWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. Job Description Draup is a Series A-funded agentic AI company building the intelligence layer for how global enterprises make workforce and go-to-market decisions.
Applied Machine Learning Scientist Intern - PhD 31 MSIApplied Machine Learning Scientist Intern - PhDSanta Clara, CaliforniaAs a high-visibility team, we deliver critical data insights and analytics solutions to the operations and leadership group that empower data-driven decision-making at the highest levels. The intern will work closely with our experienced data scientists, engineers, and business stakeholders to develop data-driven insights and build predictive models that address business challenges.
Reinforcement Learning Engineer Hammerhead AIReinforcement Learning EngineerRedwood City, CaliforniaReporting to the Head of AI / Reinforcement Learning Engineering, you will design, train, and deploy the Orchestrated RL Control Agents that form the brain of our system, making real-time decisions to optimize power and compute resources across physical data centers. Cross-Functional Collaboration: Partner with platform engineers to define the APIs, data telemetry, and infrastructure needed to support and scale our RL agents across a global portfolio of data centers.