Machine Learning Research Engineer

The Company FL105 is a privately held, early-stage company pioneering the use of artificial intelligence to transform human psychological fitness and wellbeing. We are creating a platform that empowers people to build a life they are proud of and fulfilled by. FL105 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies that transform the world. Flagship has created over 100 groundbreaking companies since 2000, including Moderna. The Role FL105 seeks a talented Machine Learning Research Engineer . The successful candidate will innovate, develop and apply machine learning (ML) methods to create foundational psychological tools. This position is ideal for someone with broad expertise in machine learning, reinforcement learning from human feedback, supervised fine tuning, and computational sciences who is looking to join a very dynamic and innovative environment and pioneer the next frontier of innovation, application, and human-ai interactions enabled by state-of-the-art models. A successful candidate should have a passion for building technologies that enable others to maximize their potential. Working at FL105, you will have the opportunity to work with world-class scientists, engineers, and researchers who work on cutting-edge ai research and applications. Key Responsibilities Design, develop, and deploy ML-powered applications that leverage large language models (LLMs) to address complex challenges in wellbeing. Collaborate with psychological experts and translate interdisciplinary insights into computational frameworks. Help advance the state of the art in context engineering, agentic AI and learning from human feedback. Build scalable pipelines for data collection, labeling, training, and deployment of LLM-based systems. Support the integration of ML systems into real-world applications with measurable outcomes. Communicate findings to a multi-disciplinary audience. Professional Experience & Qualifications Masters level (or above) experience in CS, ML, and AI is preferred, but can be relaxed for exceptional candidates. Strong foundation in machine learning, deep learning, and natural language processing (NLP). Publications at top ML / NLP venues such as NeurIPS, ICML, ACL and EMNLP are a bonus. Proven experience deploying LLM-powered applications in production environments, including expertise in frameworks like PyTorch , vLLM , and LangGraph . Proficiency in Python and tools for ML development, large-scale data pipelines and pre-processing, and standard evaluation protocols. Self-motivated and comfortable working in ambiguous, fast-moving environments with evolving goals. Excellent communication and presentation skills. Must be able to think independently and work collaboratively. Experience in a previous startup is a plus. About Flagship Pioneering Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com . At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact. We are an equal opportunity employer . All qualified app