Senior Computer Vision Engineer Dexterity.aiSenior Computer Vision EngineerRedwood City, CA$160,000–$200,000 / yearThe end to end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models on the field will be under your purview. Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful.
Software Engineer - Ml/Computer Vision (Battery Sorting) Redwood MaterialsSoftware Engineer - Ml/Computer Vision (Battery Sorting)San Francisco, CA$152,500–$287,500 / yearThe Battery Sorting team at Redwood Materials is building a world-class, ML-enabled sorting platform that uses computer vision and machine learning to classify and route thousands of end-of-life batteries per hour across diverse chemistries and form factors. Responsibilities will include: Develop, test, and maintain production software systems powering automated battery sorting, spanning ML inference, image acquisition, sensor integration, and hardware-adjacent control interfaces.
Computer Vision Engineer V2Soft, IncComputer Vision EngineerMountain View, CaliforniaFull timeThe role focuses on rapidly evaluating, implementing, and deploying state-of-the-art computer vision and AI technologies on vehicle-grade edge computing platforms, bridging cutting-edge research and real-world intelligent mobility systems. Design and implement computer vision algorithms for object detection, tracking, semantic/instance segmentation, 3D scene understanding, visual localization, mapping, driver and occupant monitoring, and behavior recognition.
Machine Learning Engineer (Computer Vision/Multimodal/Generative AI) SpreeAIMachine Learning Engineer (Computer Vision/Multimodal/Generative AI)San Francisco, CaliforniaThe work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning.
Machine Learning Engineer Intern (Computer Vision/Multimodal/Generative AI) SpreeAIMachine Learning Engineer Intern (Computer Vision/Multimodal/Generative AI)San Francisco, CaliforniaThe work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. Your design work will directly impact how thousands (eventually millions) of people experience shopping with SPREEAI – no bureaucratic layers, your ideas can go live and make a difference immediately.
AI Researcher (Computer Vision/Multimodal/Generative AI) SpreeAIAI Researcher (Computer Vision/Multimodal/Generative AI)San Francisco, CaliforniaWe are building new approaches where: diffusion models must produce consistent outputs across poses, viewpoints, and garments, generative models must learn human and garment interactions realistically, research innovations must scale to real-world deployment environments. This role exists because current generative and vision models are not designed for photorealistic human representation, controllable try-on, or real-world deployment constraints.
Research Scientist - Central Applied Science Meta Platforms IncResearch Scientist - Central Applied ScienceMenlo Park, CAWork with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products which impact the business Develop novel quantitative methods on top of Meta's unparalleled data infrastructure Work towards long-term ambitious research goals, while identifying intermediate milestones Communicate best practices in quantitative analysis to partners Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users Actively identify new opportunities for scientific tooling and systems to yield outsized impact, in line with Central Applied Science's role and mission within MetaBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in computer science, statistics, operations research or a related field 4+ years of industry experience in an applied R&D capacity or similar function Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields Experience analyzing datasets using languages such as Python Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn Experience developing algorithms in languages such as Python, C, C++ or Java Experience analyzing large datasets using tools such as Presto, Hive or Spark Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Track record of building end-to-end systems which bring science and engineering to solve critical business problems Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Engagement with leaders to drive decision-making based on a thorough understanding of science and business constraintsMeta builds technologies that help people connect, find communities, and grow businesses. Individuals in this role are expected to perform well in a research engineering capacity and hold publications within research areas including artificial intelligence, machine learning, statistics, operations research, causal inference and experimentation.
Senior Level — Enterprise/Solution Architect (Life Sciences) Macdillions Global EnergySenior Level — Enterprise/Solution Architect (Life Sciences)Foster City, CaliforniaThis role will be responsible for translating business and finance strategy into scalable, secure, and compliant target-state architectures, while enabling modernization through AI-driven solutions , including agentic and autonomous architectures . The role requires deep expertise in Finance systems and controls , experience operating in regulated environments , and hands-on architecture leadership across cloud, data, integration, security, and AI platforms .
Director, Data Science - Central Product Platform (CPP) Meta Platforms IncDirector, Data Science - Central Product Platform (CPP)Menlo Park, CACPP builds the platforms every product group runs on: the Experimentation Platform behind tens of thousands of tests and most launch decisions, the Research Platform that turns user research into an agent-accessible asset, the Metrics Platform that defines Meta's core metrics, and the analytics, design, and communication platforms teams use to answer questions and ship. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Material Science Research Engineer, DeepMind Google LLCMaterial Science Research Engineer, DeepMindMountain View, CAFrom creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users.
Sr. Director, Data Science - 11572 Coupa Software IncSr. Director, Data Science - 11572Foster City, CA$222,000–$310,000 / yearBy submitting your application, you acknowledge that you have read Coupa's Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. Director, Data Science at Coupa: We are seeking a strategic and hands-on Director of AI Data Science to lead the development, deployment, and governance of advanced AI systems across Coupa's platform.
Data Science Director (IC) Meta Platforms IncData Science Director (IC)Menlo Park, CACollaborate with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and investment decisions for the Ads AI space Contribute to the long-term technical vision and strategy for analytics methods and metrics to enhance the quality and efficiency of Ads AI at scale Work with engineering and other data scientists to build and improve AI development, automation, experimentation, and measurement methods and metrics, ensuring high-quality throughput and impact Develop an understanding of complex, large-scale AI development, experimentation, and measurement systems, as well as broader industry challenges, to identify current and future risks and opportunities Inspire and lead a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and ManagersBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 10+ years of experience in analytics and data science, leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance Experience framing and communication skills Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Masters or Ph. D. Degree in a quantitative field Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses.
Staff Data Engineer, Search, Data Science Google LLCStaff Data Engineer, Search, Data ScienceMountain View, CAYou will work end-to-end to help build products that users love, enabling headroom analysis, experiment analysis, and technical trade-offs between competing metrics (e.g., richness of experience vs. Own the data engineering strategy for high-stakes Search initiatives, designing multi-stage data products that process data for billions of users.
Data Engineer, GCS Data Science Google LLCData Engineer, GCS Data ScienceMountain View, CAThe Data Science Engineering (DSet) subteam is responsible for supporting data engineering needs for the GCS Data Science teams including building new data pipelines, automation, observability and reporting tools. Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities.
NewManager, Data Science (Marketing) GoFundMeManager, Data Science (Marketing)San Francisco, CA$202,000–$303,000 / yearDrive marketing science innovation : Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend. Advance forecasting & ROI modeling : Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency.
Principal Economist, GTM Science Pure Storage Inc.Principal Economist, GTM ScienceSanta Clara, CA$211,000–$338,000 / yearClassification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. Drive Investment ROI and Strategic Allocation: Quantify the incremental impact of sales headcount, incentive modifications, and customer-facing programs (e.g., proofs of concept, workshops) for executive leaders (CFO, CRO, CMO) to directly influence headcount planning, NRR growth, and resource allocation.
Managing Director, Healthcare and Life Sciences, Google Cloud Google LLCManaging Director, Healthcare and Life Sciences, Google CloudSan Francisco, CAContinue to inject operational accuracy into the organization; opportunities and growth can be "manufactured" with the correct processes and supporting activities (e.g., regular team forecast reviews, knowing when to involve other groups (pre-sales, Channels, marketing, support, Google Ads Sales teams, etc.)). Drawing upon previous, demonstrable success leading sizable technology sales teams that serve the health care and life sciences industry, the HCLS Leader will drive the team to meet and exceed demanding growth targets.
(USA) Principal, Data Analyst Walmart Inc(USA) Principal, Data AnalystSunnyvale, CA$117,000–$234,000 / yearData science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau). We are seeking a Principal Analyst, Search Product to partner with Product, Engineering, Data Science, Design, and Business teams across the end-to-end search stack-including query understanding, retrieval, ranking, post-retrieval optimization, and UI/UX.
As-Needed Student Intern II (Misson College Students Only) City of Santa ClaraAs-Needed Student Intern II (Misson College Students Only)Santa Clara, CAThis internship provides hands-on experience in a public library setting, allowing interns to develop customer service skills, develop organizational and problem-solving skills, learn about library resources, gain insight into library operations, and work in a community-centered environment that fosters learning and engagement. Tasks may include, but is not limited to, the following: respond to utility map requests, assist with permitting review of water, recycled water, and sewer projects, assist with water sampling, and perform other general tasks, both in the office and in the field, as required.
Director, PEPI - Technology Services CIO Domain Alvarez & Marsal Holdings LLCDirector, PEPI - Technology Services CIO DomainSan Francisco, CAThis role requires a practitioner who has operated inside or directly alongside CIO organizations-someone who has personally led IT transformations, managed vendors, governed AI deployments, or run enterprise technology programs-and who can translate that hands-on operating experience into rapid, credible impact within the compressed timelines of a PE holding period. Data platform & BI transformation: Track record leading large-scale data platform modernization - including cloud and modern data platform architecture spanning hyperscalers and data-lake environments, enterprise data governance, and business intelligence enablement - to support AI-ready, insight-driven decision-making at scale.