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Product Manager, Materials Science AI and Machine Learning

Schrödinger

New York; Portland; San Diego

ML Engineering

$200,000 - $275,000

Posted 1 day ago

managerunknown

Verified open on Oct 4, 2026 · posted 1 day ago

Job Description

Schrödinger seeks a Materials Science Machine Learning Product Manager to join us in our mission to transform the discovery of materials and therapeutics.

As a member of the Materials Science (MS) Machine Learning (ML) team, you’ll manage the development of AI and ML products, combining deep domain knowledge in chemistry, machine learning, and the software industry to grow our products and business in aerospace, consumer goods, electronics, specialty chemicals, and other industries.

Who will love this job:

  • An experienced manager who’s successfully led scientific research projects and collaborations, especially in the ML space
  • An extrovert who enjoys interacting with customers and giving public presentations
  • An agentic workflow expert
  • An excellent communicator and team player

What you’ll do:

  • Interface with existing and potential customers to demonstrate how our software accelerates MS research
  • Provide guidance and roadmap planning to grow our current offerings into new areas of MS
  • Develop new ML models to support new customer acquisition
  • Manage our existing MS ML team

What you should have:

  • PhD in Materials Science, Computational Chemistry, Chemical Engineering, Artificial Intelligence, or a related field
  • Deep practical background in both MS and ML
  • Experience working within the software industry and with customers
  • Enthusiasm for traveling to and interacting with customers globally
  Pay and perks: Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have a company culture that is relaxed, but engaged, and over a month of paid vacation time.  Our Office Management team also plans a myriad of fun company-wide events. New York is home to our largest office, but we have teams all over the world. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces.    Estimated base salary range: $200,000 - $275,000. Actual compensation package is dependent on a number of factors, including, for example, experience, education, degrees held, market data, and business needs. If you have any questions regarding the compensation for this role, do not hesitate to reach out to a member of our Strategic Growth team.   Sound exciting? Apply today and join us!   As an equal opportunity employer, Schrödinger hires outstanding individuals into every position in the company. People who work with us have a high degree of engagement, a commitment to working effectively in teams, and a passion for the company's mission. We place the highest value on creating a safe environment where our employees can grow and contribute, and refuse to discriminate on the basis of race, color, religious belief, sex, age, disability, national origin, alienage or citizenship status, marital status, partnership status, caregiver status, sexual and reproductive health decisions, gender identity or expression, sexual orientation, or any other protected characteristic. To us, "diversity" isn't just a buzzword, but an important element of our core principles and key business practices. We believe that diverse companies innovate better and think more creatively than homogenous ones because they take into account a wide range of viewpoints. For us, greater diversity doesn't mean better headlines or public images - it means increased adaptability and profitability.
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Career context

This role is classified as ML Engineering.

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$200k - $281k is the middle 50% of disclosed salaries, measured from 256 live ML Engineering postings on this board. Roughly two thirds of postings disclose nothing, so this describes the ones that do, not the whole market.

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