NewMachine Learning Engineer Intern (Commercial AI-CRM and Transaction) - 2027 Summer TikTok IncMachine Learning Engineer Intern (Commercial AI-CRM and Transaction) - 2027 SummerSan Jose, CAThe team is committed to the innovative application of LLM, Agent, multimodal intelligence, and machine learning technologies in real-world business scenarios, driving the evolution of AI from an "assistant tool" into an intelligent partner capable of understanding business, developing strategies, and executing tasks. Leveraging deep learning and large language model technologies, the team builds an algorithmic system for advertiser growth, optimizes the operational efficiency of global commercial platforms, and empowers sustainable long-term business revenue growth.
Machine Learning Engineer: Imitation and Reinforcement Learning for Robotics Bedrock Robotics IncMachine Learning Engineer: Imitation and Reinforcement Learning for RoboticsSan Francisco, CABacked by $350M in funding, we're working quickly to close the gap between Americas surging demand for housing, data centers, manufacturing hubs, and the construction industrys growing labor shortage. In this role, youll be responsible for developing and scaling state-of-the-art learning architectures, while also building the data systems that make these models reliable, scalable, and reproducible in production.
AIML - Machine Learning Engineer, Answers Knowledge and Information Apple IncAIML - Machine Learning Engineer, Answers Knowledge and InformationCupertino, CAAt least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas -- Supervised Fine-tuning (SFT) with Rejection Sampling, Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.), Parameter efficient fine-tuning techniques (e.g LoRA), Hallucination reduction and factual accuracy improvements, Designing and implementing safety guardrails At least 10 years of experience leading complex cross-functional projects and influencing research direction At least 10 years of experience with large-scale model training, optimization, and deployment Consistent track record of researching, inventing and/or shipping advanced machine learning models Outstanding communication and interpersonal skills with ability to work with cross-functional teams. You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple's AI powered products and conduct applied research to transfer the cutting edge research in generative AI to production ready technologies.
Principal / Distinguished Engineer, Machine Learning NetskopePrincipal / Distinguished Engineer, Machine LearningSanta Clara, CA$154,000–$312,000 / yearArchitect Production-Grade Inference Systems: Design, optimize, and deploy highly scalable AI/ML inference systems, leveraging the latest LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency. You will have the platform to build a scalable 'AI Engine', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today.
Expression of Interest: Machine Learning Engineer Moloco IncExpression of Interest: Machine Learning EngineerMenlo Park, CATechnical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale. Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
Machine Learning Engineer Netskope IncMachine Learning EngineerSanta Clara, CA$128,000–$260,500 / yearDevelop Production-Grade Inference Systems: Help design, optimize, and deploy scalable AI/ML inference systems, working with modern LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency. You will have the platform to help build a scalable ''AI Engine'', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry''s most challenging AI latency, scalability, and cloud security problems today.
Distinguished Engineer, Machine Learning Netskope IncDistinguished Engineer, Machine LearningSanta Clara, CA$147,000–$299,500 / yearArchitect Production-Grade Inference Systems: Design, optimize, and deploy highly scalable AI/ML inference systems, leveraging the latest LLM serving technologies such as vLLM, SGLang, and advanced KV Cache optimization to maximize throughput and minimize latency. You will have the platform to build a scalable 'AI Engine', working alongside top-tier engineers, researchers, and machine learning scientists to solve the industry's most challenging AI latency, scalability, and cloud security problems today.
Senior Machine Learning Engineer Warner Bros. Discovery IncSenior Machine Learning EngineerBurbank, CA$159,180–$295,620 / yearBehind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next…. Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow, Feature Store, Unity Catalog, Asset Bundles, Genie).
Machine Learning Scientist (L6) - Live Ads Netflix IncMachine Learning Scientist (L6) - Live AdsCALive advertising introduces a distinct class of problems: massive, unpredictable traffic spikes, global simultaneous delivery, hard real-time latency constraints, and the need to balance yield across direct and programmatic demand channels. The team spans three pillars, Ad Forecasting, Ad Ranking, and Ad Marketplace, and supports all ad surfaces, including live events such as sports, award shows, and cultural moments watched simultaneously by tens of millions of members around the world.
Senior Machine Learning Engineer EvenUp IncSenior Machine Learning EngineerSan Francisco, CAYoull work across the ML stack - from data pipelines to production model deployment - alongside ML engineers, data scientists, and legal subject-matter experts to turn raw legal and medical data into systems that directly improve outcomes for personal-injury clients. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai,
Machine Learning Scientist 5 - Ad Ranking Netflix IncMachine Learning Scientist 5 - Ad RankingCA$466,000–$750,000 / yearOur goal is to create innovative, data-driven solutions that deliver highly relevant ad experiences for our members and achieve impactful results for advertisers, all while upholding the exceptional quality and personalization characteristic of the Netflix experience. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.
NewMachine Learning Engineer, Recommendation, E-Commerce Alliance TikTok IncMachine Learning Engineer, Recommendation, E-Commerce AllianceSan Jose, CABy 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. Support the rapid development of TikTok s e-commerce business, serve millions of merchants, explore more efficient business models, satisfy users with the best shopping experience, and promote healthy ecological development Minimum Qualifications.
Senior Machine Learning Engineer - Foundation Model XPeng MotorsSenior Machine Learning Engineer - Foundation ModelSanta Clara, CA$174,720–$295,680 / yearYou will work closely with world-class researchers, perception and planning engineers, and infrastructure experts to design, train, and deploy large-scale multi-modal models that unify vision, language, and control. XPENG 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.
NewMachine Learning Research Scientist, Post-Training Scale AI, Inc.Machine Learning Research Scientist, Post-TrainingSan Francisco, CA$180,600–$225,750 / yearThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
NewMachine Learning Scientist Intern (TikTok-Local Services) - 2027 Start (PhD) TikTok IncMachine Learning Scientist Intern (TikTok-Local Services) - 2027 Start (PhD)San Jose, CAWe leverage POI data, geolocation, and large-scale location-based services (LBS) technologies to provide comprehensive LBS product and service capabilities for overseas businesses. TikTok Location Based Service Team s goal is to deliver user-facing products based on the location that connects people with places, localized content, and service in the real world around the globe.
Principal Machine Learning Scientist - Trajectory Generation General MotorsPrincipal Machine Learning Scientist - Trajectory GenerationMountain View, CA$269,400–$412,600 / yearBenefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Role: As a Principal Technical Lead in Trajectory Generation within the Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance.
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 R&D Qualcomm IncMachine Learning R&DSan Diego, CA$140,800–$211,200 / yearWe are an interdisciplinary team with backgrounds in Computer Science, ML/AI, Electrical Engineering, Computer Engineering, Physics, Neuroscience, Economics, and VLSI Design, united by our passion to solve challenging problems. Minimum Qualifications: Bachelor''s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
NewPrincipal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD) Genentech IncPrincipal Machine Learning Scientist, Frontier Research, AI for Drug Discovery (AIDD)South San Francisco, CA$192,500–$357,500 / yearThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact.
Machine Learning Engineer, Foundation Model Services Apple IncMachine Learning Engineer, Foundation Model ServicesSanta Clara, CAOur Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. Proficient in building and maintaining systems written in modern languages (eg: Golang, python) Bachelor's degree or higher in Computer Science or related technical field.