Modelling Resident (8-Month Contract)

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Join a frontier AI lab as a Modelling Resident on an 8-month contract. You’ll be embedded on production and research projects, mentored by the modelling team, and work across software, hardware, and algorithmic domains to push real-time, gradient-free learning, with emphasis on efficiency and end-to-end ownership in a remote-friendly setting.

Location: San Francisco, New York

Workplace: Remote

Employment Type: Contract

Job Function: Software Engineering

Key Responsibilities

•Innovation: Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms better
•Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains
•Measure What Matters: We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we work.

Key Requirements

•A degree or equivalent research/engineering experience in a computer science field.
•Genuine interest in at least one project related to model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization.
•Systems thinking — ability to understand and optimize across the full ML stack
•Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)
•Familiarity with model optimization techniques such as RLHF and fine-tuning

Experience:Artificial intelligenceMachine learning

Education:Bachelor's

Skills:CommunicationCollaborationAdaptabilitySelf-awarenessProblem-solving

Tech Stack:PythonPyTorchJAXTensorFlowRLHF

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

Website

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Adaption Labs

1 month ago

Modelling Resident (8-Month Contract)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Remote

Employment Type: Contract

Job Function: Software Engineering

Key Responsibilities

•Innovation: Build the future of adaptive algorithms that continuously learn. Co-design algorithms that react in real-time to product signal and feedback, and explore new ways of capturing feedback that make those algorithms better
•Cross-Stack Optimization: Collaborate across software, hardware, and algorithmic domains to drive system-wide efficiency gains
•Measure What Matters: We believe the ultimate signal of value is real-world impact. The smartest algorithm is one capable of interacting with the world — that's why product signal matters so much to how we work.

Key Requirements

•A degree or equivalent research/engineering experience in a computer science field.
•Genuine interest in at least one project related to model efficiency, synthetic data, interfaces, real-time alignment, or algorithmic optimization.
•Systems thinking — ability to understand and optimize across the full ML stack
•Strong Python skills and experience with deep learning frameworks (PyTorch, JAX, or TensorFlow)
•Familiarity with model optimization techniques such as RLHF and fine-tuning

Experience:Artificial intelligenceMachine learning

Education:Bachelor's

Skills:CommunicationCollaborationAdaptabilitySelf-awarenessProblem-solving

Tech Stack:PythonPyTorchJAXTensorFlowRLHF

Company Brief

Adaption Labs

Industry: Consulting

Website