Senior Machine Learning Engineer, Lemon8 Recommendation (Multiple Positions) TikTok IncSenior Machine Learning Engineer, Lemon8 Recommendation (Multiple Positions)San Jose, CA$275,850–$387,600 / yearOf the required experience, must have 4 years of experience in each of the following: Building end-to-end model training pipelines using Python or Hadoop MapReduce, and training large-scale models using deep learning and machine learning (ML); Designing, developing, and implementing advanced machine learning and deep learning models, including supervised and unsupervised learning techniques; Researching, testing and productionizing state-of-the-art deep learning models and methods; Using SQL and Spark to perform large-scale dataset analysis, including user behavior, probability distribution, and time series analyses; and Utilizing Big Data Framework Hadoop or Flink. Qualifications Must have a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering (any), Information Technology, Data Science, Analytics (any), Mathematics, or a related field, and 4 years of related work experience.
AI Research Engineer (Robot Learning) Mimic RoboticsAI Research Engineer (Robot Learning)San Francisco, CaliforniaIn flat hierarchies you will work directly with the founders and some of the best talents in the robotics space from the likes of Google DeepMind, Tesla Optimus, Stanford, ETH, ABB, etc. You will shape all aspects of the development of end-to-end AI models for robotics, from large scale multi-task pre-training to specialized fine-tuning and post-training.
Intern, Deep Learning Engineer Bot AutoIntern, Deep Learning EngineerHouston, TexasResearch Focus: Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving . D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields.
Machine Learning Engineer Graduate (Brand Ads) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (Brand Ads) - 2027 Start (PhD)San Jose, CAGood understanding of online advertising systems, especially one or more of the following areas: guaranteed delivery, reservation ads, pacing, allocation, inventory forecasting, traffic strategy, brand safety, ads ranking, bidding, or auction systems. Responsibilities: As a Machine Learning Engineer on the Brand Ads team, you will work on real-world problems such as forecasting available inventory, optimizing auction traffic, and using machine learning to improve delivery quality and efficiency.
Sr. Machine Learning Engineer (Perception And Tracking) Ouster IncSr. Machine Learning Engineer (Perception And Tracking)San Francisco, CA$180,000–$220,000 / yearYou will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow).
Machine Learning Engineer Deeter AnalyticsMachine Learning EngineerRemoteReporting to the senior researcher who leads the project, you'll be the hands-on ML person on a new research effort: take an idea from the desk and turn it into data, models, and experiments, then carry it through to something that runs every day and informs how we trade. Leakage-proof validation on time-ordered data, regime-aware testing, honest baselines; knowing the difference between a result that's real and one that's noise, and being able to show which is which.
Staff Machine Learning Engineer, Computer Vision Pinterest IncStaff Machine Learning Engineer, Computer VisionRemote$189,308–$389,753 / yearLabs works across a broad variety of AI/ML initiatives-including core computer vision, multimodal representation learning, heterogeneous graph neural networks, generative modeling, and recommender systems. In this role, you''ll work with Pinterest''s rich visual-text dataset to train large-scale models from scratch that are continuously shipped to production to power visualization features.
Staff Machine Learning Engineer ARM LtdStaff Machine Learning EngineerAustin, TX$249,900–$338,100 / yearThey will actively supply to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us to the forefront of future. Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture.
AI Research Engineer (Robot Learning) mimic robotics AGAI Research Engineer (Robot Learning)San Francisco, CAIn flat hierarchies you will work directly with the founders and some of the best talents in the robotics space from the likes of Google DeepMind, Tesla Optimus, Stanford, ETH, ABB, etc. You will shape all aspects of the development of end-to-end AI models for robotics, from large scale multi-task pre-training to specialized fine-tuning and post-training.
Machine Learning Engineer PitchBook Data IncMachine Learning EngineerSeattle, WA$125,000–$180,000 / yearAs a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of structured and unstructured data including reports, news, and other textual content. This role requires deep technical expertise in advanced data analytics and machine learning, as well as a hands-on approach to designing, building, and optimizing ML solutions that power user-facing features on the PitchBook Platform.
Senior/Staff Machine Learning Engineer Terra AISenior/Staff Machine Learning EngineerRedwood City, CaliforniaBacked by leading investors including Khosla Ventures and working alongside strategic industry partners including Rio Tinto, Ero Copper, and Ramaco Resources, Terra AI is emerging as one of the more closely watched AI-native companies operating within the mining and critical minerals sector. As global demand for copper, lithium, nickel, rare earth elements, geothermal energy, and other strategic resources accelerates, the mining and subsurface industries face a growing challenge: traditional exploration methods remain slow, expensive, and highly uncertain.
Executive Director Machine Learning Engineer-MLOps JPMorgan Chase & CoExecutive Director Machine Learning Engineer-MLOpsPalo Alto, CAThese 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.
Staff / Principal Machine Learning Engineer, Serving - USA InworldStaff / Principal Machine Learning Engineer, Serving - USAMountain View, CaliforniaThey are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
Machine Learning Engineer, Model Quantization, Tesla AI Tesla IncMachine Learning Engineer, Model Quantization, Tesla AIPalo Alto, CA$124,000–$558,000 / yearJoin our AI Team and you'll have: Unparalleled real-world data (tens of billions of miles of driving + robot interactions + digital workflows); One of the largest AI training clusters on Earth; Immediate closed-loop feedback from vehicles, physical robots, and real-time computer interfaces; The ability to ship improvements to millions of customers, robots, and digital agents in weeks, not years. Whether your background is in pushing the limits of ultra-low-bit precision, developing post-training quantization and quantization-aware-training algorithms, or designing model architecture for quantized inference, if you excel at making massive deep learning models run lightning-fast on custom silicon and want to see your research deployed at planetary scale, this role is built for you.
Senior Machine Learning Engineer, Moloco NEXT Moloco IncSenior Machine Learning Engineer, Moloco NEXTMenlo Park, CA$200,000–$260,000 / yearLed by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube''s monetization engine and key search advertising technologies, we''re transforming how businesses grow and compete in the digital economy. Embrace the unglamorous parts: data-quality instrumentation, train/serve consistency in feature pipelines, slicing eval to find failure modes, and the careful experiment debugging that separates real wins from noise.
Software Engineer II, Data Credit Acceptance CorporationSoftware Engineer II, DataRemote, MIRemote$105,603–$152,884 / yearDesigns and builds end-to-end data pipelines across batch and streaming architectures that process structured, semi-structured, and unstructured data with a strong emphasis on data quality, scalability, reliability, and observability. As a Software Engineer II, Data, you will design and build scalable, reliable, and observable data models and data pipelines across batch and streaming architectures, supporting structured, semi-structured, and unstructured data.
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.
Lead Software Engineer – Cloud Native Platforms (GCP) VisaLead Software Engineer – Cloud Native Platforms (GCP)Foster City, CA$192,300–$307,600 / yearThis role is ideal for a hands-on technical leader who can drive software engineering excellence across application development, distributed systems, cloud infrastructure, reliability engineering, performance optimization, and production operations. We are seeking a highly experienced Lead Software Engineer to design, build, and operate secure, scalable, high-performance, and highly available cloud-native platforms on Google Cloud Platform (GCP).
Deep Learning Field Engineer MatroidDeep Learning Field EngineerPalo Alto, CAWe're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization and safety and compliance. Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, aerospace, transportation, security and safety and compliance.
Senior Autonomy Engineer - Deep Learning Skydio, Inc.Senior Autonomy Engineer - Deep LearningSan Mateo, CA$170,000–$277,500 / yearThe Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond. If you are excited about solving open-end problems in object detection and tracking, motion prediction, flow estimation, and total scene understanding, while leveraging massive amounts of structured video data, we would love to hear from you.