Flagship Pioneering, Inc.
Machine Learning Research Engineer
About this role
FL105, backed by Flagship Pioneering, is seeking a Machine Learning Research Engineer to develop AI-powered psychological wellness tools. You'll innovate across reinforcement learning, LLM fine-tuning, and human-AI interactions while collaborating with world-class scientists to pioneer breakthrough applications in mental health and wellbeing.
What you'll do
- Design and deploy ML applications leveraging large language models for wellbeing challenges
- Collaborate with psychological experts to translate domain insights into computational frameworks
- Advance state-of-the-art techniques in prompt engineering, agentic AI, and learning from human feedback
- Build scalable pipelines for data collection, labeling, training, and LLM deployment
- Integrate ML systems into production applications with measurable real-world outcomes
- Communicate research findings to interdisciplinary teams
What they're looking for
- Machine learning and deep learning
- Reinforcement learning from human feedback (RLHF)
- Large language models (LLMs) and fine-tuning
- Prompt engineering and context engineering
- Data pipeline development and MLOps
- Python or similar programming languages
- Agentic AI systems
- Collaborative cross-disciplinary communication
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Flagship Pioneering, Inc.
Flagship Pioneering builds unmanned aerial systems (UAS) and hardware for advanced aerial applications. The company is hiring hardware engineers and UAS specialists to design, develop, and operate fixed-wing UAV systems for demanding missions.
- Website
- flagshippioneering.com
Likely interview questions
- Describe your experience fine-tuning large language models and applying reinforcement learning from human feedback in production systems.
- How have you approached translating domain expertise from non-technical stakeholders into ML solutions?