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This listing was closed on Sep 23, 2026.
Browse Open JobsMachine Learning Research Engineer
Summary by AIEngineer.careers
Machine Learning Research Engineer is a AI Research Engineer role (full-time). with Flagship Pioneering, Inc. in CAMBRIDGE, GB. Compensation shown: $120K–$193K. Imported listing (source: haystackapp.io). Apply on the employer's site (haystackapp.io).
Imported listing (source: haystackapp.io) · Apply on haystackapp.io
CAMBRIDGE · GB
$120K–$193K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from haystackapp.io
FL105, backed by Flagship Pioneering, is seeking a Machine Learning Research Engineer to develop foundational psychological tools using state-of-the-art AI models. The role focuses on designing and deploying LLM-powered applications, advancing context engineering and agentic AI, and integrating reinforcement learning from human feedback into scalable production pipelines. You will collaborate with interdisciplinary teams of scientists and engineers to translate complex behavioral insights into computational frameworks.
Responsibilities
- Design and deploy ML-powered applications leveraging LLMs for wellbeing challenges
- Advance research in context engineering, agentic AI, and RLHF
- Build scalable data collection, labeling, training, and deployment pipelines
- Collaborate with psychological experts to translate insights into computational frameworks
Requirements
- Master's degree or higher in CS, ML, or AI
- Strong foundation in machine learning, deep learning, and NLP
- Proven experience deploying LLM-powered applications in production
- Proficiency in Python, PyTorch, vLLM, and LangGraph
- Experience with large-scale data pipelines and evaluation protocols
Nice to Have
Flagship Pioneering, Inc.
Cambridge · US · 804+ employees
Flagship Pioneering invents and builds platform companies in life sciences, with a focus on transformative human-health and sustainability products. Since 2000, it has originated and fostered more than 100 scientific ventures and supports an ecosystem of more than 40 companies.
