Display Algorithm Engineer / Machine Learning Engineer Apple IncDisplay Algorithm Engineer / Machine Learning EngineerCalifornia, CAColor and/or Imaging Science, Computer Science, Electrical Engineering) or equivalent field and 5+ years of relevant experience Familiarity with agentic AI technology and applications Exceptional written and verbal communication skills, especially in the communication of technical concepts to a cross-functional team as well as leadership Proven ability to work collaboratively within a large group of engineers Proactive, self-motivated engineer who can take the initiative and lead improvement, drive & meet key project targets. The Display Intelligence team in the Visual Experience & Incubation organization has worked on color calibrations including gray tracking, gamma cal, uniformity, primary, as well as display features such as True Tone, ambient light sensor confidence estimator, Auto Brightness, spatial computing display interplay and many other novel features to enable the best front-of-screen user experience.
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.
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.
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.
NewMachine 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.
Machine Learning Engineer, Voice SpeakMachine Learning Engineer, VoiceSan Francisco, CaliforniaSpeak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons.
NewMachine 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.
Senior Data Scientist / Machine Learning Engineer, NLP - 1635 aKubeSenior Data Scientist / Machine Learning Engineer, NLP - 1635Calabasas, CaliforniaBuild trend and anomaly detection methods using baselines, seasonality, and channel mix. Define sampling strategies and annotation guidelines for labeled datasets.
Machine Learning Engineer, Customer Engineering AnyscaleMachine Learning Engineer, Customer EngineeringSan Francisco, CaliforniaThe Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Founding Data Scientist / Machine Learning Engineer Palladio AIFounding Data Scientist / Machine Learning EngineerSan Francisco Bay Area, CaliforniaPalladio AI is the intelligence layer between raw data and decisive action, surfacing product opportunities that turn into real growth levers and guiding action so product teams iterate with confidence and velocity instead of sifting through noise. We're builders who founded Uber's Michelangelo, led data and design teams at Apple, Meta, Google, and Chime, and shipped products used by billions.
Senior Staff / Principal Machine Learning Scientist, AI Inference & Optimization NetskopeSenior Staff / Principal Machine Learning Scientist, AI Inference & OptimizationSanta Clara, CA$124,500–$272,000 / yearYou fine-tune and evaluate models, push latency and throughput on real hardware, and build the runtime that executes bounded AI tasks, validated against usage from Netskope's large customer base so you optimize where the data points, not where you guess. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.
Machine Learning Scientist 5, Markeplace - Ads DSE Netflix IncMachine Learning Scientist 5, Markeplace - Ads DSECA$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.
Sr. Staff Machine Learning Engineer Zscaler IncSr. Staff Machine Learning EngineerSan Jose, CA$157,500–$225,000 / yearEvaluate and integrate state-of-the-art GenAI advances to deliver reliable and cost-efficient production features, utilizing LLMs, various machine learning models, data processing, fine-tuning, and inference optimization. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
Machine Learning Engineer 5 - Ads Measurement Netflix IncMachine Learning Engineer 5 - Ads MeasurementLos Gatos, CA$466,000–$750,000 / yearThe team develops distributed data processing systems and ML-powered measurement solutions for products such as Brand Lift, Incrementality, Attribution, and Measurement Insights, enabling accurate, privacy-safe, and scientifically rigorous measurement of advertising effectiveness. Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content.
Machine Learning Scientist 5 - Ads Bidding Netflix IncMachine Learning Scientist 5 - Ads BiddingCA$466,000–$750,000 / yearResponsibilities: Design and implement machine learning-driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS, Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts. Our mission is to develop innovative, data-driven solutions that deliver highly relevant ad experiences to our members and drive impactful results for advertisers-all while maintaining the exceptional quality and personalization that define the Netflix experience.
Machine Learning Engineer Intern Summer 2026 Cloudflare IncMachine Learning Engineer Intern Summer 2026San Francisco, CAProject Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflares enterprise customers--at no cost. We are looking for a Machine Learning Engineer Intern to join our Austin team to build and operate the pipelines behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product.
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).
Senior Machine Learning Engineer Circadia Technologies LtdSenior Machine Learning EngineerEl Segundo, CA$150,000–$220,000 / yearBuild the eval harnesses, backtesting, and regression suites that let us ship new model versions and new configurations with confidence, including how flagging behaves and whether explanations hold up. What we sell is the judgment layer on top of a corpus most teams will never get access to: 70,000 years of continuous vital signs joined to clinical records from more than 400,000 unique patients.