Senior Staff Machine Learning Software Engineer, Search Ranking Google LLCSenior Staff Machine Learning Software Engineer, Search RankingMountain View, CAApplyshare linkCopy linkemailEmail a friendMinimum qualificationsBachelors degree or equivalent practical experience.8 years of experience with software development in one or more programming languages.7 years of experience testing maintaining or launching software products and 1 year of experience with software design and architecture.7 years of experience with AIML algorithms and tools deep learning and AIML modeling. Conduct applied research on novel modeling techniques to solve concrete challenges in content understanding such as identifying nuanced topics assessing content quality and understanding UGC.Collaborate with partner teams and cross-functional partners to integrate the content signals into production retrieval ranking and personalization systems.
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.
NewMachine 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.
NewSenior Machine Learning Engineer - Search Recommendation, E-commerce TikTok IncSenior Machine Learning Engineer - Search Recommendation, E-commerceSan Jose, CAThis involves diverse tasks spanning recall/first-stage ranking to final-stage ranking within the end-to-end workflow. Our objective is to deliver the ultimate e-commerce search experience to over 1 billion active TikTok users worldwide.
NewMachine Learning Engineer Graduate (Commercial AI-CRM and Transaction) - 2027 Start TikTok IncMachine Learning Engineer Graduate (Commercial AI-CRM and Transaction) - 2027 StartSan 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.
NewSoftware Engineer (Machine Learning), Insider Risk - Global Security Organization TikTok IncSoftware Engineer (Machine Learning), Insider Risk - Global Security OrganizationSan Jose, CAThis role will work cross functionally with various business organizations to detect, mitigate, and remediate instances of Insider Risk through: Act as a force multiplier across the business by optimizing processes and gaining alignment across stakeholders. In whatever ways users interact with us - whether they re watching videos on their For You page, interacting with a Live video, or buying products on TikTok Shop - GSO protects their data and privacy, so they can have a secure and trustworthy experience.
NewSenior Machine Learning Engineer, Search - Local Services Team TikTok IncSenior Machine Learning Engineer, Search - Local Services TeamSan Jose, CAAbout the Team: The Data-Search-TikTok-Local Services team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking.
NewMachine Learning Engineer, Search - Local Services Team TikTok IncMachine Learning Engineer, Search - Local Services TeamSan Jose, CAAbout the Team: The Data-Search-TikTok-Local Services team enhances local services by improving user discovery of hospitality, dining, and leisure experiences while driving ecosystem growth. Design and implement local services search algorithms across the full stack, including: Query analysis, relevance, recall, coarse ranking, fine ranking, and blended ranking.
NewMachine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (PhD) TikTok IncMachine Learning Engineer Graduate - Global E-commerce Recommendation/Search - 2026 Start (PhD)San Jose, CABuild 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. Furthermore, we are involved in constructing intelligent customer service technology and large-scale product knowledge graphs, aiming to enhance efficiency across various transaction processes.
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.
Senior/Staff Computer Vision Engineer - Deep Learning Focus Phantom AI, Inc.Senior/Staff Computer Vision Engineer - Deep Learning FocusMountain View, CA$180,000–$240,000 / yearThe successful candidate will play a key role in designing cutting-edge neural network architectures, optimizing model performance, and ensuring reliable deployment on embedded platforms. Collaborate closely with data engineering, data annotation, and platform engineering teams to ensure smooth data flow and seamless model integration.
Senior/Staff Machine Learning Engineer StackAdaptSenior/Staff Machine Learning EngineerOntario, CARemote$170,400–$234,300 / yearFactors Influencing Final Compensation: The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. You'll be working directly with our Data Scientists, Machine Learning engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models.
Machine Learning Engineer, Applied AI Brain Co.Machine Learning Engineer, Applied AISan Francisco, CaliforniaThe problems come in every shape — custom vision model pipelines that check blueprints against building codes at 95%+ accuracy, agents that untangle policy stacks to reveal coverage gaps, systems that predict from clinical records whether a patient is on their care path — and you'll own them end-to-end, from ambiguous customer problem to the eval that catches a whole class of errors. You understand how machine learning actually works — not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong.
Machine Learning Engineer, Platform Brain Co.Machine Learning Engineer, PlatformSan Francisco, CaliforniaYou understand how machine learning actually works — not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. You'll build the machinery that keeps that promise: capturing production corrections, triaging failures to the component that caused them, and turning that signal into retraining and safe redeployment — automatically, across every use case.
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.