Flagship Pioneering
The Company
FL105 is a privately held, early-stage company pioneering the use of artificial intelligence to build a new AI-driven platform utilizing digital twins and simulation, with applications that span psychological modeling, behavior prediction and beyond. Our goal is to move past chatbot-era tools and toward multi-modal systems that can reason, simulate and adapt in open-ended ways.
FL105 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies to transform health care, agriculture, and sustainability. Flagship has created over 100 groundbreaking companies since 2000, including Moderna.
The Role
FL105 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. Key Responsibilities: 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. Qualifications
: 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 About Flagship Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Flagship Pioneering and our ecosystem companies are
committed to equal employment opportunity
regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.
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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. Key Responsibilities: 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. Qualifications
: 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 About Flagship Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in more than $90 billion in aggregate value. Flagship Pioneering and our ecosystem companies are
committed to equal employment opportunity
regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.
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