Research Scientist / Research Engineer

Adaption Labs
New York, San Francisco, Toronto, London
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 4-5 yearsEducation: phdSkills: ["Python","PyTorch","JAX","TensorFlow","RLHF","Finetuning","Real-time learning","Systems thinking","Algorithmic optimization"]

Seeking a research scientist/engineer focused on real-world impact in real-time adaptive AI. You will co-design algorithms across software, hardware, and ML stack, optimize across the system, and measure impact through live product signals. Responsibilities emphasize cross-stack optimization, innovation in feedback-driven algorithms, and building scalable, real-world AI systems with emphasis on efficiency and real-time learning.

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FursaFursa
Adaption Labs
Adaption Labs
4 months ago

Research Scientist / Research Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Seeking a research scientist/engineer focused on real-world impact in real-time adaptive AI. You will co-design algorithms across software, hardware, and ML stack, optimize across the system, and measure impact through live product signals. Responsibilities emphasize cross-stack optimization, innovation in feedback-driven algorithms, and building scalable, real-world AI systems with emphasis on efficiency and real-time learning.
Location: New York, San Francisco, Toronto, London
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
  • •Cross-Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
  • •Measure what matters: value signals come from real-world impact and ability of current algorithms to interact with the world

Pay and Benefits

Perks:Flexible WorkMeal AllowanceWell-being

Key Requirements

  • •PhD or equivalent in computer science or related field
  • •4-5+ years of industry experience
  • •Deep expertise in model efficiency, real-time alignment, or algorithmic optimization
  • •Systems thinking with ability to optimize across the ML stack
  • •Strong Python programming and experience with PyTorch, JAX, or TensorFlow
Experience:4-5 yearsAIMLResearchReal-time systems
Education:PhD / Doctorate in Computer Science
Skills:PythonPyTorchJAXTensorFlowRLHFFinetuningReal-time learningSystems thinkingAlgorithmic optimization
Tech Stack:PythonPyTorchJAXTensorFlowRLHFFinetuningMachine learningReal-time systems

Company Brief

Adaption Labs
Industry: Consulting
Website