Machine Learning Engineering Manager - Ads Recommendations Apple IncMachine Learning Engineering Manager - Ads RecommendationsCupertino, CAIn addition, you will have the opportunity to play a critical role in influencing the roadmap and technical strategy in allied areas like campaign optimization, auction optimization, etc., all of which are critical for delivering an enhanced experience for advertisers on our platform. Play a critical role in shaping the strategy and roadmap for allied areas like campaign optimization, auction optimization, etc., to deliver an optimal end-to-end experience for advertisers.
Senior Machine Learning Engineer, Analytics & Data Engineering Apple IncSenior Machine Learning Engineer, Analytics & Data EngineeringCupertino, CAAI/ML Infrastructure & Ops: Experience developing and maintaining large-scale ML infrastructure (services, pipelines, frameworks, and deployment tooling like Ray, Kubernetes, MLflow) is a plus AI-Assisted Engineering: Proven proficiency in leveraging advanced Generative AI and LLM assistants (e.g., Claude, Gemini, etc) as force-multipliers across the software development lifecycle with high quality always in mind. The Apple Services Engineering team combines art and technology to power some of Apples most beloved services-including the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books.
AIML - Machine Learning Engineer for MLX, MLR Apple IncAIML - Machine Learning Engineer for MLX, MLRCupertino, CAWork with researchers and software engineers on the MLX team to build high performance and scalable software addressing novel ML research algorithms - Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. If so wed love to hear from you.2 years in C++ and Python numerical computing 2 years low-level programming 2 years in GPU programming Experience with open-source projects and collaborative software development.
Staff Machine Learning Engineer (Research Scientist) - DFAI Plaid IncStaff Machine Learning Engineer (Research Scientist) - DFAISan Francisco, CAPhD: 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.
NewLead Machine Learning Engineer-MLOps JPMorgan Chase Bank, N.A.Lead Machine Learning Engineer-MLOpsPalo Alto, CAFull timeThese applications power personalized experiences across Chase Consumer & Community Banking channels, to help weave a user experience that includes traditional banking services with other services in the Travel, Merchant Offer Shopping, and Dining spaces. Our product, Personalization and Insights, builds and supports high throughput, low latency applications which leverage state of the art machine learning architectures, and which are deployed in AWS.
NewMachine Learning Engineer Proofpoint IncMachine Learning EngineerSunnyvale, CABase Pay Ranges: SF Bay Area, New York City Metro Area: California (excludes SF Bay Area), Colorado, Connecticut, Illinois, Washington DC Metro, Maryland, Massachusetts, New Jersey, Texas, Washington, Virginia, and Alaska: All other cities and states excluding those listed above: Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web.
Machine Learning Intern DroydMachine Learning InternSan Francisco, CaliforniaOur robots operate under tight compute, latency, and reliability constraints, so learning systems must work cleanly on real hardware. You’ll work closely with AI researchers, software engineers, and hardware teams, and contribute to systems that ship to real robots.
Machine Learning Engineer Intern (Lead Ads) - 2027 Summer TikTok IncMachine Learning Engineer Intern (Lead Ads) - 2027 SummerSan Jose, CAPartner with product managers and product strategy & operation team to define product strategy and features Minimum Qualifications: Currently pursuing a Bachelor s or above degree in Computer Science, Computer Engineering, or a related technical discipline. Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc.
Data Engineer - Sr. Consultant level VisaData Engineer - Sr. Consultant levelFoster City, CA$169,100–$270,800 / yearVisa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Masters, MBA, JD, MD) or 2 years of work experience with a PhD Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g.
Machine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 Start TikTok IncMachine Learning Engineer Graduate (E-Commerce Recommendation Mall) - 2027 StartSan Jose, CALong-Term Value and User Experience Modeling: Explore replacing traditional heuristic rule-based systems with LLM and agent capabilities; build next-generation algorithms for measuring and optimizing long-term value (LTV) and user experience, enabling sustainable growth of the platform ecosystem. Experience with long-sequence user behavior modeling, multi-task learning, multi-interest modeling, or large-scale distributed training and inference optimization.
Machine Learning Engineer GoodfireMachine Learning EngineerSan Francisco, New York$200,000–$400,000 / yearTreating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind.
Staff Machine Learning Engineer, AI R&D Robinhood Markets IncStaff Machine Learning Engineer, AI R&DMenlo Park, CAYou''ll help define the team''s technical direction, mentor engineers, and push the frontier of what''s possible when you apply modern ML - including agentic workflows and LLM fine-tuning - to real financial data. Partner closely with product, data engineering, and platform teams to define technical strategy, scope complex projects, and drive execution across multiple workstreams simultaneously.
Staff AI Machine Learning Engineer MedeloopStaff AI Machine Learning EngineerSan Francisco, CaliforniaLead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A). Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix).
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.
Machine Learning Engineer - Measurement Signal and Privacy Technology TikTok IncMachine Learning Engineer - Measurement Signal and Privacy TechnologySan Jose, CAOur Ads Measurement Signal and Privacy team (MSP) is missioned to build our security and governance infrastructure and process for the ads system end-to-end while making sure our platform with large volume of various signals and data are constantly compliant with regional regulations across the world. Creating algorithms and data-driven solutions that utilize one of the world's richest user behavior datasets for various ads-related use cases, such as ads ranking, targeting, bidding, calibration, and reporting.
Sr. Machine Learning Scientist, Siri Speech Apple IncSr. Machine Learning Scientist, Siri SpeechCupertino, CAOur mission is to build cutting-edge infrastructure, datasets, and models that empower Siri conversational AI, dictation and various speech enabled Apple Intelligence features with powerful capabilities across natural language understanding, dialog generation, speech recognition, and multi-modal interaction. As part of the Siri organization, you will help shape one of the worlds most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up.
Machine Learning Engineer SorisMachine Learning EngineerSan Francisco, CaliforniaUnlike wrapper companies or point solutions, we are building a full-stack AI platform from the ground up; one that is agentic, vertically integrated, and designed for scale. If you’re excited about transforming big antiquated industries, shipping fast, and working with a driven, world-class team, then we’d love to hear from you!
Senior Machine Learning Systems Engineer Reddit IncSenior Machine Learning Systems EngineerSan Francisco, CA$216,700–$303,400 / yearDeep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more. Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus.
Machine Learning Engineer, Search Recommendation TikTok IncMachine Learning Engineer, Search RecommendationSan Jose, CAOptimize the recommender system based on hyperscale machine learning models, covering a range of tasks from recall/first-stage ranking to final-stage ranking in the end-to-end workflow. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide.
Staff Machine Learning Systems Engineer Reddit IncStaff Machine Learning Systems EngineerSan Francisco, CA$230,000–$322,000 / yearDeep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more. Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus.