Senior Machine Learning Scientist
Cambridge, MA USA
Applications have closed
Flagship Pioneering, Inc.
We are Flagship Pioneering We are a biotechnology company that invents platforms and builds companies that change the world. CEO Chats from the Flagship…Location: Cambridge, MA
Flagship Labs 104 (FL104) is a privately held, early-stage company leveraging artificial intelligence and large language models (LLMs) to transform how we reason about complex phenomena. This is a unique opportunity to be at the forefront of scientific innovation, as we leverage cutting-edge advancements in AI and ML to drive breakthroughs in drug discovery and fundamental science.
FL104 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.
Job Description:
We are seeking an experienced Senior Machine Learning Scientist with a strong background in MLOps, high-performance computing, data management, and visualization. The ideal candidate will have a proven track record enhancing operations through innovative machine learning solutions and be well-versed in programming languages such as Python, C++, and Julia. This role will focus on advancing our large language model integrations and overseeing full-cycle development from research to deployment. Experience with scientific modeling, such as climate modeling, fluid dynamics, or materials science simulation is a plus.
Key Responsibilities:
- Design, develop, and deploy advanced software toolboxes with a focus on large language models and their application within business and operational contexts.
- Lead the integration and management of MLOps infrastructure to streamline model deployment and scalability across various platforms including AWS.
- Run A/B experiments, gather data, and perform statistical analyses.
- Enhance and maintain pipelines, including CI/CD and data collection, ensuring robustness and scalability.
- Produce high-quality, maintainable code and advocate for best practices in software engineering and data science.
- Present results and explain methods to senior leadership.
- Foster a collaborative, creative, and rigorous culture of scientific discovery.
Qualifications:
- PhD. in a related field such as Computer Science, Engineering, or Physics with specialization in Machine Learning or Data Science.
- Minimum of 5 years of experience in a machine learning-focused role, with substantial experience in MLOps, and high-performance computing
- Proficiency in scientific programming in Python
- Strong background in statistical modeling, neural networks, and other machine learning techniques.
- Excellent problem-solving skills and ability to work in a dynamic, fast-paced environment.
Preferred Experience:
- Published research or contributions to open-source projects in machine learning or related areas.
Why Join Us?
FL104 offers you a unique opportunity to:
- Collaborate with highly talented, interdisciplinary team members.
- Participate in the evolution of a pioneering early-stage company, with the immense potential to transform how much a single scientist can accomplish.
- Contribute to a proactive work culture, with an emphasis on mutual learning and continuous improvement.
Values and Behaviors:
Flagship is an experiment in institutional, entrepreneurial, and innovation practiced in the context of a small company with an insurgent mindset. We are seeking individuals with an entrepreneurial spirit, strong communication skills, and comfort in working in and contributing to a dynamic and cross-functional team environment. The level of the role will be commensurate with the education and years of experience of the identified candidates.
About Flagship
Flagship Pioneering is a biotechnology 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 is 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: A/B testing AWS CI/CD Computer Science Data management Drug discovery Engineering Julia LLMs Machine Learning MLOps Model deployment Open Source PhD Physics Pipelines Python Research Statistical modeling Statistics
Perks/benefits: Career development Startup environment Team events
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