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We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. As an early hire, you will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases.
$330,000 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Drive both short term and long-term research initiatives in areas such as artificial intelligence, machine learning & data mining, natural language processing, bigdata systems, information and data visualization, social & cognitive science.
$345,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You’ll work alongside our application and machine learning engineers to plan and deploy services using terraform and Google Cloud Platform (GCP). Whether it’s holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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This will be a hands-on / applied machine learning role with a focus on Generative AI, RAG, and document understanding (Taxonomy, Digitization, Classification, Extraction, Validation, etc.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Preferred Qualifications Familiarity with biological data formats, concepts, and computational models is a plus The salary range for Redwood City, CA: Staff Machine Learning Engineer: $232,900 - $315,100 The salary range for San Diego, CA: Staff Machine Learning Engineer: $221,000 - $299,000 Exact compensation may vary based on skills, experience, and location.
$315,100Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As an ML Infrastructure Engineer, you will play a key role in driving the architecture, implementation, and evolution of our rapidly growing Machine Learning platform. This includes tools like BigQuery, Cloud Storage, infrastructure-as-code tooling (Terraform) and an ML stack (Vertex, SageMaker, Ray, or similar) for handling machine learning workflows.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Engineer and implement operating system deployment, software and patch distribution management such as RIS/WDS, WPE, MECM/SCCM/OSD, Intune, WSUS.Evaluate and recommend workstation hardware, such as desktop, laptop, tablet computers, peripherals and accessories.
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Our products accelerate autonomous vehicle development, testing, and deployment by efficiently simulating and testing our autonomous vehicle software against billions of miles of driving - a task that would otherwise require years of on-road testing.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Alexa is fueled by Natural Language Understanding and Automated Speech Recognition deep learning; as is Prime Air, and the computer vision technology in our new retail experience, Amazon Go. We have thousands of engineers at Amazon committed to machine learning and deep learning, and it’s a big part of our heritage.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our group is seeking an exceptional Machine Learning Engineer with a passion for building machine learning algorithms and systems that will transform the drug discovery process.
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At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
$186,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Automate cloud provisioning, deployment, and management tasks using tools such as Terraform, Ansible, or CloudFormation. Mentor and provide guidance to junior cloud engineers, fostering a culture of continuous learning and improvement.
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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.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Have familiarity with designing quality research experiments & evaluations with rapid iterations Have familiarity with Machine Learning, Deep Learning, and Large Language Models and related infrastructure (e.g. PyTorch) Have familiarity with frontend technologies like React / Typescript/ JS.Have experience working in complex technical environments and/or improving research velocity Bonus: have experience with 1 or more large scale data systems such as beam or spark.
$295,000 - $360,000 (equity)Full-timeExpandApply NowActive JobUpdated Today
deployment machine learning jobs Title: platform engineer Company: Fast Enterprises in Sausalito, CA
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