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Nearest Secondary Market: Oakland Sr. Director Machine Learning Engineering, Paramount Advertising. The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proven track record managing and scaling machine learning teams in one or more of the following areas: computational advertising, recommendation systems, risk/fraud modeling, autonomous vehicles, search, natural language processing, or a related field.
$378,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We have a fast-growing team that’s distributed around the world, with offices in San Francisco and New York City. Our team has years of experience building and operating business-critical machine learning systems at leading tech companies like Uber, Google, Meta, Airbnb, Lyft, and Twitter.
$237,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or applied ML (e.g., deep learning, natural language processing). As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.
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Expertise in machine learning, predictive modeling, data mining, and advanced statistical techniques. Build statistical models and machine learning algorithms to predict customer issues, identify product adoption drivers (points of struggle ) , personalize product support interaction s , and optimize product performance.
$345,700 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
$283,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Enterprise Software, Technology, Artificial Intelligence, Software Development, Machine Learning, Data Analytics, Cloud Computing, Data Management, Big Data, AI. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning.
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This is an opportunity for a Machine Learning Engineering Manager to come in and drive Data Science and ML initiatives for the enterprise. This role is ideal for someone looking to extend their machine learning and software engineering skills into a part mentor, part IC, part advisor role all while leading the ML engineering team.
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You will work with the AIML Data organization to deliver on our vision to make data the voice of our customers, and to inform product and machine learning development. We're looking for an experienced hands-on program manager who can flex into product management as needed, to partner with data engineering, data science, product, and client engineering teams.
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Technology, Artificial Intelligence, Robotics, Machine Learning, Data Analysis, Computer Vision, Natural Language Processing, Automation, Research and Development, Tech Startup. Relevant engineering experience at tech and product-driven companies.
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We use cutting-edge technologies like AI, machine learning, cloud computing, and big data analytics to protect investors and ensure market integrity. Under general direction from Cyber and Information Security (CIS) Leadership, the Director of Application Security Engineering oversees the Secure Software Development Lifecycle (SSDLC), including all relevant tooling, processes, training and guidance to educate the organization's development community and help drastically minimize the security risks to its applications, data and hosting environment.
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As Manager of Machine Learning engineering team, you will work on a broad set of domains that power a data-driven transformation of our standard business procedures across channels.
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You are curious and passionate about learning and solving complex problems. Keep up to date with the latest AI and Data Engineering technologies and apply this expertise to guide your team.
$235,950 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark) Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest.
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We are a machine learning engineering team that works across the stack to deliver production ML systems. You have 10+ years of professional experience as a Machine Learning Engineer or Software Engineer or 7+ years with an advanced degree.
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machine learning jobs Title: engineering in San Francisco, CA
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