(Senior) Machine Learning Engineer

The Company

FL105 is a privately held, early-stage company pioneering the use of artificial intelligence to transform mental health paradigms and fundamentally augment mental wellbeing. We are creating a world where individuals and communities are empowered to preemptively identify and tackle psychological challenges and address mental health concerns.

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 Engineer. 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, develop, and deploy ML-powered applications that leverage large language models (LLMs) to recapitulate psychological phenomena and address complex challenges in mental health
• Optimize and steer LLM behavior using techniques like activation steering, prompt engineering, and adapter fine-tuning.
• Develop an optimized data pipeline to facilitate development, scalability, and integration with a user-facing product.
• Develop scalable and efficient ML pipelines for data preprocessing, model training, and deployment in cloud environments such as AWS.
• Integrate cloud-based tools (e.g., Bedrock, EC2, S3) to facilitate large-scale application deployment and data management.
• Monitor, evaluate, and refine ML models in production to maintain performance and reliability, leveraging tools for continuous integration and deployment (CI/CD).
• Communicate findings to a multi-disciplinary audience.

Qualifications:

• Advanced degree (MS or PhD preferred) in Computer Science, Machine Learning, Computational Neuroscience, or a related field, or equivalent industry experience
• Proven experience deploying LLM-powered applications in production environments, including expertise in frameworks like Hugging Face Transformers, PyTorch, or TensorFlow.
• Strong knowledge of cloud-based ML tools (e.g., AWS Bedrock, Lambda, EC2) and scalable architectures for training and deploying models.
• Fluency in Python and standard ML tools and libraries (e.g. PyTorch, TensorFlow, Jax, sklearn)
• Motivated and team oriented, with an ability to thrive in a multidisciplinary environment
• Excellent communication and presentation skills
• Must be able to think independently and work collaboratively

Preferred experience

• Post-Phd/MSc work experience is an advantage but not a requirement.
• Experience building SaaS products
• Familiarity with common software development tools and best practices: Git, cloud/cluster computing, UNIX environments, shell scripting.

More About Flagship Pioneering

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. Many of the companies Flagship has founded 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.

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.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.