Applied Scientist

Skip to main content Applied Scientist adaption Redwood City, CA Apply Join or sign in to find your next job Join to apply for the Applied Scientist role at adaption Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Applied Scientist adaption Redwood City, CA 2 months ago 74 applicants See who adaption has hired for this role Apply Join or sign in to find your next job Join to apply for the Applied Scientist role at adaption Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Join or sign in to save this job Join to save Applied Scientist at adaption Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Report this job The RoleWe're looking for an Applied Scientist who thrives at the intersection of applied research and real-world products. You'll push the frontier on efficiency, gradient-free exploration, real-time learning, and interface design — translating advances in these areas into adaptive ML systems that ship. You'll contribute meaningfully to both the research roadmap and product strategy, and lead the design and implementation of the systems that come out of it.ResponsibilitiesAdvance the Research Frontier: Drive original work on efficient, adaptive ML. including online learning, gradient-free methods, and novel architectures, and turn those advances into systems that run in production. Deliver Real-World Impact: Lead the design, implementation, and deployment of ML systems end-to-end, from research prototype to production. Shape the Roadmap: Contribute to research direction and product strategy, identifying which problems are worth solving and which methods are worth investing in. Hands-on Execution: Own implementation of data products at Adaption, addressing novel challenges in data, interaction, and evaluation with both creativity and engineering rigor. Qualifications3–4 years of industry experience in machine learning or applied research, with a track record of deploying ML systems that solved real business problems. Strong...