Software Engineer, Machine Learning Infrastructure TikTok IncSoftware Engineer, Machine Learning InfrastructureSan Jose, CAMinimum Qualifications: Bachelor s degree or above, majoring in Computer Science or related fields, with experience building scalable system; Proficient in C/C++ programming in a Linux environment; Familiar with operating system concepts and computer architecture; Understand the underlying framework of mainstream machine learning frameworks (TensorFlow, PyTorch etc); Background in one of the following fields: High Performance Computing, Applied ML models(MLP/Transformer/MoE), ML Hardware Acceleration (e.g., GPU/RDMA) or ML Systems. Preferred Qualifications: Experience in deep learning model training and prediction; Experience in algorithm implementation or optimization of existing algorithms; Familiar with model pruning, quantization and compression methods; Experience in software and hardware integration and optimizations.
RTL Design Engineer, Machine Learning Accelerators Google LLCRTL Design Engineer, Machine Learning AcceleratorsSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs Vertex AI for Google Cloud Google Global Networking Data Center operations systems research and much more. Careers Skip navigation links home Home Homework_outlinework_outline Jobs noogler_hat Students google How we work handyman How we hire person_outline Your career help_outline Help link feedback Send feedback more_vert Help Send Feedback Sign in.
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.
Senior Manufacturing Test Development Engineer, Machine Learning Google LLCSenior Manufacturing Test Development Engineer, Machine LearningSunnyvale, CAFrom software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. We"re the driving force behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncAI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAWhat you"ll do: Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths - translating architecture specs and RTL behavior into accurate, testable C++ models. Collaborate with architects/micro-architects, RTL design engineers, ML SW engineers, and compiler engineers to evaluate architecture and microarchitecture tradeoffs and help make hardware design decisions.
Senior AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWS Amazon.com IncSenior AI SoC Modeling Engineer, Annapurna Labs Machine Learning Accelerators, AWSCupertino, CAWhat you"ll do: Develop and maintain high-fidelity functional model of AI/ML accelerator and its SoC subsystems, including compute engines, memory hierarchies, on-chip interconnects, and data paths - translating architecture specs and RTL behavior into accurate, testable C++ models. Collaborate with architects/micro-architects, RTL design engineers, ML SW engineers, and compiler engineers to evaluate architecture and microarchitecture tradeoffs and help make hardware design decisions.
Senior Machine Learning Engineer, Search engine, E-Commerce Alliance TikTok IncSenior Machine Learning Engineer, Search engine, E-Commerce AllianceSeattle, WAJob Responsibilities: Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.
Machine Learning Engineer, Search engine, E-Commerce Alliance TikTok IncMachine Learning Engineer, Search engine, E-Commerce AllianceSeattle, WAJob Responsibilities: Design and build large-scale machine learning algorithms to deeply optimize e-commerce search engines such as ranking, query analysis, and correlation calculation and various business indicators of sorting scenarios, including relevance, click-through rate, conversion rate, etc. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.
Senior Deep Learning Tools Engineer – CUDA Tile NVIDIASenior Deep Learning Tools Engineer – CUDA TileRedmond, CaliforniaYou will collaborate closely with compiler developers, infrastructure providers, and hardware teams to build systems that track, analyze, and improve performance across rapidly evolving AI workloads. In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and continuously validated over time.
AI and Machine Learning Engineer Hewlett Packard EnterpriseAI and Machine Learning EngineerAguadilla, Puerto RicoUnderstanding advanced neural network architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and advanced techniques such as transfer learning, generative models, and optimization algorithms for deep learning. Deep understanding of machine learning algorithms, such as linear regression, decision trees, support vector machines, random forests, deep learning models (e.g., neural networks), and reinforcement learning.
NewMachine Learning Engineer, Drive DoorDash USAMachine Learning Engineer, DriveSan Francisco, CA; SunnyvaleWe value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
Senior Machine Learning Engineer Orchard RoboticsSenior Machine Learning EngineerSan Francisco, CaliforniaWe are looking for a Senior Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. Our AI-powered camera systems mount to tractors and scan millions of trees, vines, and plants, capturing precise data on yield estimates, fruit size, crop health, disease, and more.
Staff Machine Learning Engineer, Recommendation Systems NubankStaff Machine Learning Engineer, Recommendation SystemsPalo Alto, CaliforniaYou'll be a technical anchor for the team, working on problems like retrieval, ranking and multi-objective optimization pipelines, and the infrastructure that lets these systems serve millions of customers with low latency and high reliability. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks.
Machine Learning Engineer, Search Quality Glean Technologies, Inc.Machine Learning Engineer, Search QualityMountain View, CA$140,000–$265,000 / yearRecognized by Fast Company as one of the World's Most Innovative Companies (Top 10, 2025), by CNBC's Disruptor 50, Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we're helping the world's largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality.
Senior Machine Learning Engineer, Multimodal AI Hike MedicalSenior Machine Learning Engineer, Multimodal AISan Francisco, CaliforniaWe sit at the intersection of AI, robotics, and healthcare, operating across three product lines: a proprietary AI-vision platform that turns a 30 second web-based foot scan into custom 3D-printed orthotics, an AI agent platform that automates the entire DME workflow from pre-visit processing to claims and revenue cycle, and SoleForge, our vertically integrated 3D printing factory producing custom medical devices at a scale the industry has never seen. The Role • As a Senior Machine Learning Engineer, you will build the intelligence layer that automates complex healthcare compliance and document procurement workflows.
Staff Machine Learning Operations Engineer Garner Health Technology, Inc.Staff Machine Learning Operations EngineerNew York City, NY$298,000–$351,000 / yearWe partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. Establish Drift Monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade, laying the groundwork for future Continuous Training (CT) architectures.
Senior Machine Learning Engineer Pantheon DataSenior Machine Learning EngineerReston, VARemote$140,000–$200,000 / yearFull timePosition OverviewPantheon Data is seeking a Senior Machine Learning Engineer to design, build, and operate production AI systems for federal clients - including hybrid retrieval-augmented generation (RAG) applications, Intelligent Document Processing (IDP) pipelines, and LLM-backed decision-support tools running in AWS GovCloud. Design and run evaluation programs for retrieval quality, extraction accuracy, answer groundedness, hallucination risk, and end-to-end system performance - including golden datasets, automated eval harnesses in CI, and regression testing across model and prompt versions.
Staff Machine Learning Engineer (Research Scientist) - DFAI PlaidStaff Machine Learning Engineer (Research Scientist) - DFAISan Francisco, CaliforniaPhD: 5–9+ years of industry experience with evidence of technical leadership (tech lead, principal/staff-equivalent roles) and end-to-end production ownership. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.
Machine Learning Data Engineer VizcomMachine Learning Data EngineerSan Francisco, CaliforniaMore than 700,000 designers have worked in Vizcom, and every session leaves a trail: candidates selected, outputs promoted into designs, regions masked and renamed, and entire directions kept or discarded. Researchers as your users: You'll work directly alongside the people using the datasets you build, creating an unusually tight feedback loop between data engineering and research.