Flagship Pioneering-posted 3 months ago
Cambridge, MA
251-500 employees
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

FL105 is seeking a talented Machine Learning Scientist. The successful candidate will develop and apply machine learning (ML) methods to create foundational psychological tools. This position is ideal for someone with broad expertise in machine learning, deep learning, and computational sciences who is looking to join a very dynamic and innovative environment and pioneer the next frontier of innovation, application, and human-computer interactions enabled by generative models. You will build technologies that enable others to maximize their potential. Working at FL105, you will be able to openly collaborate with Pioneering Intelligence, the AI/ML research arm of Flagship Pioneering. You will have the opportunity to work with world-class machine learning scientists and engineers who work on cutting-edge AI research in generative modeling and large language models.

  • Design and implement research programs to understand and emulate human behavior, personality, and emotional patterns using the state-of-the-art ML techniques
  • Collaborate with psychological experts and translate interdisciplinary insights into computational frameworks.
  • Build scalable pipelines for data collection, labeling, training, and deployment of LLM-based systems.
  • Contribute to the development of novel methods for controlling large language models.
  • Support the integration of ML systems into real-world applications with measurable outcomes.
  • Stay current with advances in AI/ML and bring forward ideas that drive scientific and product innovation.
  • Communicate findings to a multi-disciplinary audience.
  • Advanced degree (PhD or MS) in Computer Science, Machine Learning, Applied Mathematics, or a related field.
  • Strong foundation in machine learning, deep learning, and natural language processing (NLP).
  • Experience working with open-source large language models (e.g., LLaMA, Gemma, Qwen) and modern ML frameworks (e.g., PyTorch, JAX, TensorFlow).
  • Experience with multimodal deep learning systems is a bonus.
  • Demonstrated ability to design, run, and interpret ML experiments in research or applied settings.
  • Proficiency in Python and tools for ML development, data processing, and evaluation.
  • Comfort working in ambiguous, fast-moving environments with evolving goals and limited structure.
  • Excellent communication and presentation skills
  • Must be able to think independently and work collaboratively
  • Motivated and team oriented, with an ability to thrive in a multidisciplinary environment
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