Applied Scientist

Adaption Labs
San Francisco
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Experience: 3-4 yearsSkills: ["Communication","Ownership","Collaboration","Problem-solving","Adaptability"]

Applied Scientist role at Adaption Labs focusing on turning advances in efficient, adaptive ML into production-ready systems. You will work at the intersection of applied research and real-world products, driving online learning, gradient-free methods, and real-time adaptation while shaping research roadmap and product strategy.

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Adaption Labs
Adaption Labs
2 months ago

Applied Scientist

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Last checked: 13 hours agoStatus: Live

Job Summary

Applied Scientist role at Adaption Labs focusing on turning advances in efficient, adaptive ML into production-ready systems. You will work at the intersection of applied research and real-world products, driving online learning, gradient-free methods, and real-time adaptation while shaping research roadmap and product strategy.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Advance 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.

Pay and Benefits

Perks:Flexible WorkMeal AllowanceMedical BenefitsWell-being

Key Requirements

  • •3–4 years of industry experience in machine learning or applied research, with a track record of deploying ML systems that solved real business problems.
  • •Strong software engineering skills and fluency with ML frameworks (e.g., PyTorch, JAX, TensorFlow).
  • •Hands-on experience with online learning, reinforcement learning, or efficient ML architectures.
  • •Solid understanding of data modeling for training and how curation decisions shape model performance.
  • •Excellent communication skills and the ability to align technical work with high-level goals.
Experience:3-4 yearsApplied MLMachine learning
Skills:CommunicationOwnershipCollaborationProblem-solvingAdaptability
Tech Stack:PyTorchJAXTensorFlowOnline learningReinforcement learning

Company Brief

Adaption Labs
Adaption Labs delivers AI consulting, engineering, and MLOps services to help organizations design, build, and deploy machine learning and generative AI solutions. They focus on productizing models, integrating AI into production systems, and accelerating digital transformation for enterprise clients.
Industry: Consulting
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