(Senior) Machine Learning Engineer
Cambridge, MA USA
Flagship Pioneering, Inc.
We are Flagship Pioneering We are a biotechnology company that invents platforms and builds companies that change the world. CEO Chats Pioneering…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) 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:
- Develop advanced ML tools that capture and recapitulate psychological phenomena.
- Develop and prototype LLM-based multi-agent systems with coordinated behavior.
- Develop an optimized data pipeline to facilitate development, scalability, and integration with a user-facing product.
- Experiment with techniques to augment the performance of the platform.
- Collaborate closely with other members of the team to enhance platform KPIs.
- Collaborate closely with software developers to integrate platform with user-facing product.
- Communicate findings to a multi-disciplinary audience.
Qualifications:
- Master’s degree in any computational field (e.g., machine learning, computer science, applied math, neuroscience, computational biology, physics, etc.)
- 3+ years industry experience
- Understanding of data structures and software architectures, as well as experience with MLOps best practices, version control, and project management
- 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.
- Familiarity with common software development tools and best practices: Git, cloud/cluster computing, UNIX environments, shell scripting.
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. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Biology Computer Science Deep Learning Generative modeling Git JAX KPIs LLMs Machine Learning Mathematics MLOps PhD Physics Python PyTorch Research Scikit-learn Shell scripting TensorFlow
Perks/benefits: Startup environment Team events
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