Senior Machine Learning Engineer, Developer Product Analytics Apple IncSenior Machine Learning Engineer, Developer Product AnalyticsCupertino, CAApple Services Engineering powers the digital storefronts and partner platforms that millions rely on every day, from the App Store, Apple Music, and Podcasts to the analytics platforms that serve the developers and artists who create for them (App Store Analytics, Apple Music for Artists, Podcast Analytics). The Product Data Science team builds the statistical, ML, and AI-powered algorithms behind these platforms, focused on content-partner analytics tools, experimentation engines, privacy-preserving analytics, and charting systems used by millions of businesses and users worldwide.
Machine Learning Engineer, Energy Hardware Engineering Tesla IncMachine Learning Engineer, Energy Hardware EngineeringPalo Alto, CA$124,000–$258,000 / yearThe Tesla Energy Products Field Quality team is looking for a passionate and collaborative Machine Learning Engineer to bridge large-scale fleet data to system-based modeling & analytical efforts across the Tesla Energy portfolio: Industrial, Residential, Supercharger, and Solar. Where our first-principles models tell us how a system should behave, you will help quantify how the fleet actually behaves, and turn that signal into better models, faster investigations, and earlier detection of issues in the field.
Machine Learning Engineer KreaMachine Learning EngineerSan Francisco, CaliforniaConducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets. Proven track record in working with image or video models at scale (publications or open-source contributions a plus).
Machine Learning Engineer Twilio IncMachine Learning EngineerSan Francisco, CA$155,520–$194,400 / yearHands-on experience with workflow orchestration and data pipelines (e.g., Airflow, Kubeflow) and cloud data platforms/storage (e.g., SageMaker Feature Store, Snowflake, DynamoDB, OpenSearch). You will collaborate closely with a cross-functional team of engineers, architects, product managers, UI/UX designers, and ML/data science partners to deliver robust, reliable solutions that power customer success.
Staff Machine Learning Engineer Otter.aiStaff Machine Learning EngineerMountain View, CaliforniaAs a Staff Machine Learning Engineer, you’ll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems—creating and transforming innovative research into production-ready features that power Otter’s summarization and conversational intelligence products. Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, making principled trade-offs across quality, latency, cost, and reliability.
Machine Learning Engineer EveMachine Learning EngineerSan Francisco, California$195,000–$350,000 / yearYou'll own the full stack of applied ML — from data curation to evaluation and production deployment — building systems that handle the kind of complex, high-stakes reasoning that most AI products never have to touch. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Machine Learning Engineer Otter.aiMachine Learning EngineerMountain View, California$196,000–$221,000 / yearAs a Machine Learning Engineer, you’ll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems—creating and transforming innovative research into production-ready features that power Otter’s summarization and conversational intelligence products. Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, making principled trade-offs across quality, latency, cost, and reliability.
Senior Machine Learning Engineer Otter.aiSenior Machine Learning EngineerMountain View, California$230,000–$265,000 / yearAs a Senior Machine Learning Engineer, you’ll bring your strong software engineering mindset to machine learning in order to scale and optimize our ML systems—creating and transforming innovative research into production-ready features that power Otter’s summarization and conversational intelligence products. Lead the design and implementation of training, fine-tuning, post-training, and inference strategies for large language and speech models using PyTorch and/or JAX, making principled trade-offs across quality, latency, cost, and reliability.
Staff Machine Learning Engineer, Recommendation & AI Platform News BreakStaff Machine Learning Engineer, Recommendation & AI PlatformMountain View, CA$230,000–$300,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. In this role, you will define technical direction for large-scale personalization systems, lead complex projects across teams, and drive the adoption of AI / LLM technologies in both product capabilities and engineering workflows.
Senior Product Manager, Machine Learning BatonSenior Product Manager, Machine LearningSan Francisco, California$190,000–$240,000 / yearBaton's ML infrastructure and model portfolio are maturing fast — from planning and scheduling optimization models to ETA prediction to Generative AI models — and this role exists to make sure that investment converts into measurable, durable value for Ryder and its customers. You'll own the 0->1 definition and prioritization of AI-driven product initiatives, partner closely with ML/infrastructure engineers and data scientists, and drive the transition of pilots and PoCs into production.
Senior Product Manager, Machine Learning Baton Trucking, Inc.Senior Product Manager, Machine LearningSan Francisco, CA$190,000–$240,000 / yearBaton''s ML infrastructure and model portfolio are maturing fast - from planning and scheduling optimization models to ETA prediction to Generative AI models - and this role exists to make sure that investment converts into measurable, durable value for Ryder and its customers. You''ll own the 0->1 definition and prioritization of AI-driven product initiatives, partner closely with ML/infrastructure engineers and data scientists, and drive the transition of pilots and PoCs into production.
Senior Product Manager, Machine Learning Baton (A Ryder Technology Lab)Senior Product Manager, Machine LearningSan Francisco, CA$190,000–$240,000 / yearBaton's ML infrastructure and model portfolio are maturing fast — from planning and scheduling optimization models to ETA prediction to Generative AI models — and this role exists to make sure that investment converts into measurable, durable value for Ryder and its customers. You'll own the 0->1 definition and prioritization of AI-driven product initiatives, partner closely with ML/infrastructure engineers and data scientists, and drive the transition of pilots and PoCs into production.
SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning Amazon.com IncSoC Power Engineer, Annapurna Labs - Cloud Scale Machine LearningCupertino, CAAs a SoC Power Engineer, you'll contribute to the project at the ground level by modeling and estimating power at every stage of the design from early RTL to final netlist and by driving ways to reduce power consumption of our machine learning accelerators. In this role, you'll be working directly with architects, designers, verification engineers, software teams, and Physical Design experts - defining best practices to reduce power and model power consumption with high accuracy.
Engineering Manager, Machine Learning Safety Discord IncEngineering Manager, Machine Learning SafetySan Francisco, CA$272,000–$306,000 / yearWe''re a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests, and helps developers build and grow their businesses. Own the end-to-end lifecycle of production safety models: defining new capabilities, measuring performance, and monitoring the operational health of systems that make millions of enforcement decisions per day.
Machine Learning SoC Architect Meta Platforms IncMachine Learning SoC ArchitectSunnyvale, CAPerform detailed calculations to specify computation throughput, memory bandwidth and latency; evaluate performance v/s area v/s power tradeoffs Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software developmentBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc 12+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis Experience in ASIC performance modeling, microarchitectural analysis, or pre-silicon simulation for custom silicon or SoC designs Proficiency in C++ and Python for developing simulation models, automation frameworks, and performance analysis tools Experience with performance analysis of data center, AI accelerator, or high-performance computing workloads on custom silicon Experience defining architecture and microarchitectural specifications and driving cross-functional alignment across architecture, RTL, and physical design teams Familiarity with post-silicon performance validation and model-to-hardware correlation methodologies Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code Master's or PhD degree in Electrical Engineering, Computer Engineering or related field Domain knowledge in one or more of power/performance tradeoffs, ML networks, ML frameworks such as Pytorch Experience building or scaling performance modeling infrastructure for hyperscale data center ASICs, including network, storage, or AI inference accelerator designsMeta builds technologies that help people connect, find communities, and grow businesses. In this role, you will own ASIC architecture specification, establish the performance modeling methodology and long-term silicon roadmap strategy, partnering with other silicon, and software teams to ensure Meta's infrastructure silicon meets the demanding throughput, latency, and efficiency targets required at hyperscale.
Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start Beijing ByteDance Technology Co LtdMachine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 StartSan Jose, CABuild serving orchestration and traffic management capabilities for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management. The Data-AML-Engine Orchestration team builds large-scale machine learning infrastructure that powers online model serving across ByteDance products, including TikTok.
Machine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 Start Beijing ByteDance Technology Co LtdMachine Learning Engineer Intern (AML-Engine-Orchestration) - 2027 StartSan Jose, CABuild serving orchestration and traffic management capabilities for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management. The Data-AML-Engine Orchestration team builds large-scale machine learning infrastructure that powers online model serving across ByteDance products, including TikTok.
Machine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start (PhD) Beijing ByteDance Technology Co LtdMachine Learning Engineer Graduate (AML-Engine-Orchestration) - 2027 Start (PhD)San Jose, CABuild serving orchestration and traffic management capabilities for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management. The Data-AML-Engine Orchestration team builds large-scale machine learning infrastructure that powers online model serving across ByteDance products, including TikTok.
Sr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine Learning Amazon.com IncSr. SoC Power Engineer, Annapurna Labs - Cloud Scale Machine LearningCupertino, CASoC Power Engineer, you'll contribute to the project at the ground level by modeling and estimating power at every stage of the design from early RTL to final netlist and by driving ways to reduce power consumption of our machine learning accelerators. In this role, you'll be working directly with architects, designers, verification engineers, software teams, and Physical Design experts - defining best practices to reduce power and model power consumption with high accuracy.
Staff Software Engineer, YouTube Ads Machine Learning Google LLCStaff Software Engineer, YouTube Ads Machine LearningMountain View, CAWe"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. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google.