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.
Senior Machine Learning Engineer - Perception & Embodied AI General MotorsSenior Machine Learning Engineer - Perception & Embodied AIMountain View, CA$170,600–$261,300 / yearAs a Senior Machine Learning Engineer for Perception within the Embodied AI organization, you will own the end-to-end pipeline for safety-critical ML perception models, from initial research and large-scale data curation to optimization and real-time deployment on the vehicle's compute platform. 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.
Senior Machine Learning Engineer, E-commerce Feed Recommendation TikTok IncSenior Machine Learning Engineer, E-commerce Feed RecommendationSan Jose, CA3 years of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.
Machine Learning Engineer, E-commerce Feed Recommendation TikTok IncMachine Learning Engineer, E-commerce Feed RecommendationSan Jose, CA1 year of experience in applied machine learning, familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.
(General Hire) Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2027 Summer TikTok Inc(General Hire) Machine Learning Engineer Intern (Trust and Safety - CV/NLP/Multimodal LLM) - 2027 SummerSan Jose, CAThe algorithm team is responsible for developing state-of-the-art computer vision, NLP and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related regulations. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok, and will also be responsible for optimizing our distributed model training framework continuously.
Senior Software Engineer - Scalable Machine Learning Latitude AI LLCSenior Software Engineer - Scalable Machine LearningPalo Alto, CA$179,200–$268,800 / yearWhen you join the Latitude team, you'll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to making a real, positive impact on the driving experience for millions of people. What you''ll need to succeed: Bachelor''s degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master''s degree and 2+ years of relevant experience, or PhD).
Senior Manager, Imaging Machine Learning InsitroSenior Manager, Imaging Machine LearningSouth San Francisco, CA$247,000–$262,000 / yearIn addition to working closely with the lab, you and your team will partner closely with our imaging software team, responsible for co-developing and scaling methods your team develops, and computational biologists who will subsequently leverage these tools to extract program-level insights in conjunction with omics (perturb-seq) and clinical insights. Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and in vitro cellular systems generated by our proprietary, automated wet-lab platforms.
Senior Machine Learning Engineer, Recommendation - TikTok eCommerce TikTok IncSenior Machine Learning Engineer, Recommendation - TikTok eCommerceSan Jose, CAPreferred Qualifications: Familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc. Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users latent interests efficiently.
Machine Learning Engineer - AI Evaluation & LLM Systems Apple IncMachine Learning Engineer - AI Evaluation & LLM SystemsCupertino, CAWorking closely with researchers, software engineers, and product teams, you will transform cutting-edge research into production-ready solutions, analyze large-scale datasets, and develop new approaches for benchmarking and improving AI quality. As a Machine Learning Engineer, you will develop scalable infrastructure, intelligent evaluators, and data-driven methodologies that measure and improve the quality of large language models and multimodal AI systems used across Apple products.
Distinguished Machine Learning Engineer - Safety RobloxDistinguished Machine Learning Engineer - SafetySan Mateo, CA$399,420–$457,970 / yearThe Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations. As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users.
Scientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation Models Altos LabsScientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation ModelsSan Francisco, CA$200,900–$257,500 / yearArchitect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs. Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.
Staff Machine Learning Engineer, Data Flywheel Waymo LLCStaff Machine Learning Engineer, Data FlywheelMountain View, CA$250,000–$334,530 / yearWe have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Machine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce Governance TikTok IncMachine Learning Engineer (CV/NLP/Multimodal/LLM) -E-commerce GovernanceSan Jose, CAStreamline the optimization and iteration process for computer vision models in e-commerce settings, including fine-grained classification of product images, product object recognition, product subject recognition, feature extraction, logo detection, brand recognition, etc. Responsibilities: Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.
Data Engineer, Machine Learning, Manufacturing Quality Tesla IncData Engineer, Machine Learning, Manufacturing QualityFremont, CA$120,000–$216,000 / yearCreate and refine machine learning models to maximize accuracy and impact, incorporating techniques like sequence modeling (e.g., LSTMs, transformers) and feature engineering; engage stakeholders and rapidly iterate based on feedback to improve predictions for equipment failures and quality issues. Design and develop anomaly detection platforms for creating, tracking, and applying statistical and machine learning models in production environments, with a focus on identifying deviations in real-time manufacturing processes using high-resolution and time series data from global sites.
Machine Learning Operations Engineer (MLOps) The Hiring MethodMachine Learning Operations Engineer (MLOps)Fremont, CaliforniaThe successful candidate will work directly with Process Engineering, Product Engineering, Test Engineering, Manufacturing, MES, and IT teams to build data pipelines, develop machine learning models, and deploy production-ready AI solutions into manufacturing workflows. A global leader in photonics and semiconductor technology is seeking a Machine Learning Operations (MLOps) Engineer to help develop, deploy, and scale AI/ML solutions within advanced manufacturing operations.
Machine Learning Engineer, Local Search & Marketplace NewsBreakMachine Learning Engineer, Local Search & MarketplaceMountain View, CA$190,000–$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. Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumer demand with relevant local content, businesses, or services.
Staff Machine Learning Model Risk Specialist Upstart Holdings IncStaff Machine Learning Model Risk SpecialistCARemote$157,000–$217,500 / yearYou will oversee risk across a diverse and growing inventory of models and Generative AI applications, including sophisticated machine learning models used in lending and other models supporting areas such as fraud, compliance, finance, capital and liquidity, servicing, and operational risk. Partner with Machine Learning teams, GenAI application developers, business sponsors, and other stakeholders to maintain accurate inventories, risk assessments, documentation, monitoring reports, and supporting governance materials for models and GenAI applications affecting Upstart Bank.
AIML - Machine Learning and Applied Research, Responsible AI and Safety Apple IncAIML - Machine Learning and Applied Research, Responsible AI and SafetyCupertino, CAYou will collaborate closely with top machine learning researchers and engineers, software engineers, and design teams to develop and deliver groundbreaking solutions for Apple products. Were seeking candidates who will shape safety policies in partnership with leadership, design, engineering, legal, and regulatory stakeholders-ensuring our safeguards advance both user protection and product innovation.
Machine Learning Engineer TapestryMachine Learning EngineerMountain View, CaliforniaOriginally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
Sr. Machine Learning Engineer Apple IncSr. Machine Learning EngineerSanta Clara, CAIf you are passionate about protecting users and building robust ML systems at scale, we want you on our team.3+ years of industry related experience, working in collaborative environments Experience with utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models Understanding product requirements then translating them into modeling tasks and engineering tasks Proficient in at least two programing languages such as: Python, Go, Java, C/C++ BS in Computer Science, Artificial Intelligence, Machine Learning, Safety, Computer Vision or related field or equivalent work experienceExperience working on content moderation, spam detection, fraud, or Trust & Safety ML teams. You will work at the intersection of Search, Natural Language Processing (NLP), Image and Trust & Safety, addressing complex challenges like query intent understanding, adversarial evasion, jailbreaking, and multimodal content filtering.