Machine Learning Engineer Co-Op

At Flagship Pioneering, we conceive, create, resource, and develop first-in-category life sciences companies to transform human health and sustainability. We’ve created over 100 scientific ventures, including the now familiar drug and vaccine innovator, Moderna Therapeutics.

Since its inception in 2000, many of our companies have leveraging advances in computing, big data, and AI. In recent years, this trend has accelerated with first-in-category life science companies such as Generate Biomedicines, Cellarity, Valo and many others that are creating breakthrough innovations using AI and ML technologies.

We are looking for extraordinary computational scientists, engineers, and entrepreneurs to work alongside individuals within the Flagship Ecosystem focused on solving the most impactful challenges in AI and the life sciences.

Position Summary:

Our ML Engineering interns will work closely with an interdisciplinary team of ML scientists to design and implement ML tools with biological impact and evaluate their strengths and limitations. Projects will have a focus on end-to-end execution, to expose interns to the full development cycle. This is an exciting opportunity to be part of a fast-paced, highly dynamic entrepreneurial environment.

Key Responsibilities:

• Work with interdisciplinary team of scientists to apply SOTA and/or internally-developed ML methods to impactful biological problems
• Work with our engineers to improve or develop infrastructure to enable new classes of ML methods
• Develop clear, intuitive visualizations. Communicate results via presentations to a multi-disciplinary audience.
• Cultivate a data-centric and process-oriented company philosophy by following and maintaining best practices for software development, data management, and infrastructure.

Basic Requirements:

• Current undergraduate or master’s degree student in computer science, machine learning
• Fluency in Python and standard ML tools and packages.
• Familiarity with AWS, GCP, or similar cloud-computing services.
• Attention to detail and ability to produce clean, well-documented code.
• Familiarity with common SWE tools such as Git, Docker, and Kubernetes.
• Motivated and team oriented, with an ability to thrive in an entrepreneurial and multidisciplinary environment.
• Excellent communication and presentation skills. Must be able to think independently and work collaboratively.

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.

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.