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Rippling
San Francisco, CA, United States
About Rippling Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. Take
Job Source: RipplingReveal Health Tech
South San Francisco, CA, United States
Reveal HealthTech is a dedicated healthcare life sciences focused technology services company – helping our clients with a range of AI and product engineering services. Reveal’s mission is to unleash the full potential of technology for our clients by prioritizing trust, agility, and expertise. We bring together domain understanding and engineering
Job Source: Reveal Health TechConviva
Foster City, CA, United States
If you've used Disney+, Peacock, or other top streaming platforms, you've already benefited from Conviva's technology. We empower the world's leading B2C companies, including the biggest names in streaming media, to deliver exceptional digital experiences and optimize the "moments that matter" to their customers and their business. As the global le
Job Source: ConvivaTubi
San Francisco, CA, United States
Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 200,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring co
Job Source: TubiPatreon
San Francisco, CA, United States
Patreon is the best place for creators to fire up their fandoms, share exclusive work, and turn their passions into lasting creative businesses. Over 250,000 podcasters, writers, musicians, artists, and other creative people use Patreon to reach their biggest fans directly and earn an income for the value they provide. Creators can offer paid membe
Job Source: PatreonPromoted.ai
San Francisco, CA, United States
[Full Time] Staff Machine Learning Engineer at Promoted.ai (United States) | BEAMSTART Jobs Staff Machine Learning Engineer Promoted.ai United States Date Posted 31 Oct, 2022 Work Location San Francisco, United States Salary Offered $100000 — $400000 yearly Job Type Full Time Experience Required 3+ years Remote Work Yes Stock Options Yes Vaca
Job Source: Promoted.aiSTOITECH
San Francisco, CA, United States
Are you passionate about using machine learning to improve people's lives? Our client is a growing FinTech startup (Series A funded, ~50 employees) building innovative products that empower everyday consumers to manage their finances. Join their mission-driven Data Science team and make a tangible impact! What You'll Do: Design and develop cutti
Job Source: STOITECHStoitech
San Francisco, CA, United States
Are you passionate about using machine learning to improve people's lives? Our client is a growing FinTech startup (Series A funded, ~50 employees) building innovative products that empower everyday consumers to manage their finances. Join their mission-driven Data Science team and make a tangible impact! What You'll Do: Design and develop
Job Source: StoitechSan Francisco, CA, United States
About Remedy Robotics
Cardiovascular disease is the #1 cause of morbidity and mortality in the world. Much of this could be prevented with better access to specialist care. Take stroke as an example: any delay in treatment can lead to permanent disability or death. However, due to a lack of specialist surgeons, the most effective intervention can only be performed in 2% of US hospitals. For patients who present to one of the 98% of hospitals that do not offer the surgery, treatment is either significantly delayed or not offered at all because timely transfer is not feasible.
Our mission is to bring state-of-the-art vascular intervention to anyone, anytime, regardless of their location. Our team of medical clinicians, roboticists, and machine learning experts are working to bridge this gap by building the world’s first remotely-operated, semi-autonomous endovascular surgical robot.
We’ve already done what nobody else could—using our system, doctors from around the world were able to remotely perform this procedure from as far as 8000 miles away. We now need your help to bring this technology out of the laboratory and into hospitals everywhere.
The Role
We’re looking for someone to continue leveraging our vast trove of medical imaging data in order to train and deploy deep neural network models. These models enable our surgical robot to understand and reason about both our robot and the patient’s anatomy, which ultimately gives doctors the insight and control necessary to quickly and safely complete the procedure.
You Will
Train deep neural networks to detect salient features in medical imaging data
Understand and interpret the training data distributions and labels, and their effect on model performance
Develop metrics that reveal neural network performance, thereby providing actionable information for improving the models
Deploy trained neural networks on a real-time surgical robotic system
You Have
5+ years of machine learning engineering experience
Experience developing high-quality software, ranging from design and implementation to testing and deployment
Expertise with Python
Experience training image-based deep neural networks
Eagerness to learn on the job, iterate fast, and collaborate
Nice to Haves
Hands-on familiarity with cloud data ingestion pipelines
Expertise in MLops with large, high-dimensional, and heterogeneous data
Experience with cloud infrastructure tools
Expertise with deep neural networks for unsupervised learning, such as VAEs or GANs
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Email Alert for Staff Machine Learning Engineer jobs in San Francisco, CA, United States
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