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Cognitiv Corp
San Mateo, CA, United States
Cognitiv leverages deep learning artificial intelligence to build custom algorithms that more accurately and efficiently predict consumer purchase behavior. Each marketer has a unique set of goals, which is why Cognitiv created NeuralMind, a deep learning platform capable of automatically building custom algorithms that simultaneously consider the
Job Source: Cognitiv CorpPrimer
San Francisco, CA, United States
Primer exists to make the world a safer place. We do this by providing trusted decision-ready AI to the world's most critical organizations. Our software enables leaders, operators, and analysts to better understand the changing world around us in real time and make informed decisions when the stakes are high. Primer has offices in San Francisco, P
Job Source: PrimerCognitiv Corp.
San Mateo, CA, United States
Cognitiv leverages deep learning artificial intelligence to build custom algorithms that more accurately and efficiently predict consumer purchase behavior. Each marketer has a unique set of goals, which is why Cognitiv created NeuralMind, a deep learning platform capable of automatically building custom algorithms that simultaneously consider the
Job Source: Cognitiv Corp.Pear VC
San Francisco, CA, United States
About the Role Be a core contributor to clinical grade deep learning products Architect key components of the deep learning platform Train robust and interpretable deep learning models for impactful medical tasks Design purpose built datasets alongside medical oncologists to tackle clinically relevant questions Build full stack deep learning solut
Job Source: Pear VCPicnicHealth
San Francisco, CA, United States
PicnicHealth is revolutionizing how life sciences companies advance medicine while providing immediate value to the patients who power the research. Through direct patient engagement, state of the art machine learning, and scientific expertise, PicnicHealth uniquely curates 100% of consenting patients’ medical records to generate the high quality a
Job Source: PicnicHealthScale AI
San Francisco, CA, United States
Scale’s Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You wi
Job Source: Scale AIScale AI
San Francisco, CA, United States
Scale’s Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You wi
Job Source: Scale AIScale AI
San Francisco, CA, United States
Scale’s Generative AI ML team conducts research on models, supervision, and algorithms that advance frontier models for Scale’s applied-ML teams and the broader AI community. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You wi
Job Source: Scale AISan Francisco, CA, United States
As a Staff Machine Learning Research Scientist you will work on some of the deepest problems in machine learning. You will publish papers, attend conferences, and file patents. But you will also ship code right into the products used every day. We call it applied research, and you will be one of the leaders, taking part in a thriving team of engineers whose backgrounds span computer science to particle physics. You will be constantly learning and mentoring, keeping Primer at the leading edge of the most important technology today.
Roles and Responsibilities - How You Will Make an Impact
Track and understand the machine learning research landscape
Help us make the strategic technology investments that ensure Primer’s ability leadership in the space
Design, lead, and review experimental work
Collaborate and influence cross-functional teams to drive our technology roadmap
Lead and mentor data scientists to help them grow
Improve and promote best practices across the company and motivate others to follow your high standard
Relevant Skills and Experience
Graduate degree in computer science or related field
5+ years in machine learning with a focus on machine learning research
Demonstrated track record of publications and/or open source projects
Hands-on experience with machine learning and NLP tools and libraries from Numpy to PyTorch
Curiosity, enthusiasm, and a love for teaching and learning
This role will consider applicants out of San Francisco, CA or Washington, DC
The annual cash compensation range for this position is US$225,000 to US$250,000. Final compensation will be determined based on experience and skills and may vary from the range listed above.
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Email Alert for Staff Machine Learning Research Scientist jobs in San Francisco, CA, United States
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