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San Francisco and San Jose, California (Hybrid On-Site): $248,700 - $283,800 for Sr. Mgr, Machine Learning Engineering. New York City (Hybrid On-Site): $234,700 - $267,900 for Sr. Mgr, Machine Learning Engineering.
$283,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco and San Jose, California (Hybrid On-Site): $340,500 - $388,700 for Sr Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $321,500 - $366,900 for Sr Distinguished Machine Learning Engineer.
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Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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Our team of data analysts and data scientists help transform the controllership and treasury organization by leveraging technologies such as artificial intelligence and machine learning to build capabilities that lead to increased efficiency and impact decision making.
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
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This role is hybrid with on-site expectations of at least 2 days per week. Familiarity with the legal and ethical implications of AI, and the technical aspects of AI systems, including large language models and machine learning.
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Ability to be on-site 3 days a week in Warner Robins, Georgia. Join our team and begin tackling critical issues at all levels of government in a team-focused environment with an emphasis on personal and professional growth.
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The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments.
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We develop automated pipelines enabling our devices to build artificial intelligence/machine learning (AI/ML) models from time series data using minimal computational resources. This is a full-time on-site position, which means that you will be required to work within the company's office space in Atlanta, GA. Because of specific contract requirements with government sponsors, this role requires U.S. citizenship.
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