Staff Machine Learning Engineer - League of Legends Riot Games IncStaff Machine Learning Engineer - League of LegendsLos Angeles, CAYou will work across player and product problems through data, modeling, experimentation, launch, and iteration, partnering closely with League product, design, Insights, game engineering, and service engineering teams. As player needs become more varied and our experiences become more dynamic, machine learning is an increasingly important part of how we help players discover the right experiences, make better decisions in and around the game, and find fair, compelling matches.
Senior Machine Learning Engineer - Ads Relevance & Quality Apple IncSenior Machine Learning Engineer - Ads Relevance & QualityCupertino, CAYou'll work at the intersection of applied ML, NLP, and content quality-designing models and systems that understand queries, flag inappropriate content, and raise the bar for ad relevance and user trust across billions of queries and impressions. This team is responsible for ensuring high-quality, trustworthy ad experiences by building intelligent systems to evaluate ad relevance, detect low-quality or offensive content, and optimize user satisfaction.
Senior Machine Learning Engineer, Wallet, Payment & Commerce Apple IncSenior Machine Learning Engineer, Wallet, Payment & CommerceCupertino, CADesign and implement synthetic data generation systems across modalities such as: images, video, time series, and text, while using techniques such as GANs, VAEs, diffusion models, Bayesian/Causal methods, and LLM-based synthesis. Hands-on experience building synthetic data generation systems using modern generative techniques (GANs, VAEs, diffusion models, or LLM-based approaches), with measurable impact on model performance or data cost reduction.
Machine Learning Engineer, Apple Search & Knowledge Platforms Apple IncMachine Learning Engineer, Apple Search & Knowledge PlatformsSanta Clara, CASpark) Broad knowledge of computer science and systems; ability to quickly learn new domains Excellent problem-solving and analytic skills Good interpersonal skills and teamwork Passion for building phenomenal products and curiosity to learnPhD or Graduate degree with research/work experience in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field Experience in Natural Language Processing including RAG based Generative AI and transformer architecture. Excellent programming skills in mainstream programming languages such as Python, Scala, and Go Prior experience with Machine Learning Frameworks such as PyTorch and Tensorflow Working experience with NLP and Large Language Models Experience working with large data sets and pipelines, ideally using the Apache software stack (e.g.
Senior Machine Learning Engineer, Trust Airbnb IncSenior Machine Learning Engineer, TrustSan Francisco, CARemote$200,000–$235,000 / yearWe build specialized models for mission-critical trust and safety problems, develop the AI agents and agentic capabilities that automate trust decisions, and create the benchmarks and evaluation harnesses that keep decision quality high as those agents take on more autonomy. Solid understanding of Machine Learning best practices - e.g., training/serving skew minimization, A/B testing, feature engineering, model selection - and algorithms such as gradient boosted trees, neural networks, transformers, and deep learning.
Senior Machine Learning Engineer, Trust AirbnbSenior Machine Learning Engineer, TrustSan Francisco, CARemoteWe build specialized models for mission-critical trust and safety problems, develop the AI agents and agentic capabilities that automate trust decisions, and create the benchmarks and evaluation harnesses that keep decision quality high as those agents take on more autonomy. Solid understanding of Machine Learning best practices — e.g., training/serving skew minimization, A/B testing, feature engineering, model selection — and algorithms such as gradient boosted trees, neural networks, transformers, and deep learning.
Early Career Machine Learning Engineer, Applied AI Brain Co.Early Career Machine Learning Engineer, Applied AISan Francisco, CaliforniaMake a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. As a Machine Learning Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy.
Staff Machine Learning Engineer - ML Training Infrastructure General Motors CoStaff Machine Learning Engineer - ML Training InfrastructureSunnyvale, CA$185,000–$335,300 / yearAs a Staff ML Engineer, you will operate as a technical leader across initiatives, partnering closely with machine learning engineers, research scientists, and platform teams to shape architecture, drive major technical decisions, and deliver state-of-the-art AI infrastructure that enables the future of intelligent driving technologies across General Motors vehicles. Benefit 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.
Principal Machine Learning Engineer - League of Legends Riot Games IncPrincipal Machine Learning Engineer - League of LegendsLos Angeles, CA$292,300–$437,900 / yearLead AI/ML serving architecture that scales to production load for Riot's player base; design systems requiring minimal operational intervention; drive implementation of proven serving architectures. ML engineers at Riot own the full lifecycle of machine learning in production - from problem framing through model design, deployment, and operation - building systems that serve players at global scale.
Machine Learning Engineer, Ads Personalization Unity Technologies SFMachine Learning Engineer, Ads PersonalizationMountain View, CaliforniaWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
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.
Sr. Machine Learning Engineer Apple IncSr. Machine Learning EngineerSanta Clara, CAAs part of our team, you will be leveraging and improving upon the latest advancements in machine learning and software engineering to understand user queries and intents, retrieve and rank documents and generate helpful answers and work on horizontal areas such as internationalization and safety. The Answers, Knowledge and Information Team is building the next-generation of machine learning solutions for Knowledge Q&A at Apple and help power features including Siri, Safari and Spotlight.
Senior Machine Learning Perception Engineer - Fallback Driving System General Motors CoSenior Machine Learning Perception Engineer - Fallback Driving SystemSunnyvale, CA$170,600–$261,300 / yearYou will lead the design, implementation, and continuous improvement of ML models for object detection, segmentation, tracking, and prediction, working closely with partner teams across perception, planning, controls, and safety. Benefit 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.
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.
NewLLM & Agentic AI Machine Learning Software Engineer, TikTok - Content Ecology Local Services TikTok IncLLM & Agentic AI Machine Learning Software Engineer, TikTok - Content Ecology Local ServicesSan Jose, CADrive the research and development of core algorithms for TikTok Local Services, leveraging LLMs/MLLMs, Agentic AI, NLP, Computer Vision, conversion modeling, global optimization, and causal uplift modeling. Publications at leading conferences, such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, NAACL, KDD, WWW, SIGIR, RecSys, AAAI, Interspeech, or ICASSP.
Senior Machine Learning Engineer, LLM Inference Optimization NebiusSenior Machine Learning Engineer, LLM Inference OptimizationPalo Alto, CaliforniaPractical knowledge of at least one modern inference stack such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or equivalent internal systems. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Member of Technical Staff - Machine Learning Engineer Asari AIMember of Technical Staff - Machine Learning EngineerSan Francisco, CaliforniaOur team has published award-winning AI research and is backed by top-tier investors including Eric Schmidt, Caltech, Jeff Dean, and JP Millon. For example, our agents can efficiently reason about and verify mission-critical code, including migrating space-grade software from C to Safe Rust .
Senior Staff Machine Learning Engineer Geico InsuranceSenior Staff Machine Learning EngineerPalo Alto, CA$150,000–$300,000 / yearResponsibilities: Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
NewMatterport – Senior Machine Learning/Computer Vision Engineer – 3D Reconstruction and Semantic Understanding CoStar GroupMatterport – Senior Machine Learning/Computer Vision Engineer – 3D Reconstruction and Semantic UnderstandingSunnyvale, California$190,000–$253,000 / yearAs a Senior Machine Learning/Computer Vision Engineer on our Vision & Learning team, you will drive the research, design, and production deployment of state-of-the-art machine learning and computer vision systems at the core of our spatial capture and reconstruction platform. Collaborate with hardware, software, and product teams to identify and address failure modes across the end-to-end pipeline through data-driven analysis and targeted model improvements.
NewSenior AI/Machine Learning Engineer - Python | TheLoops Industrial and Financial Systems ABSenior AI/Machine Learning Engineer - Python | TheLoopsPalo Alto, CAYou will combine strong software engineering expertise with advanced AI/ML knowledge to build scalable, production-grade solutions leveraging LLMs, agent frameworks, retrieval systems, and modern cloud platforms. You will contribute to the evolution of our AI platform by building reliable, secure, observable, and scalable systems while helping establish engineering best practices and sharing technical expertise with the broader team.