ZipRecruiter

Log In

1

Machine Learning Chemistry Jobs (NOW HIRING)

Alsym Energy

Machine Learning Engineer (Malden)

Malden, MA · On-site

$130K - $215K/yr

... Machine Learning Scientist or Engineer to design, build, and deploy agentic AI systems that ... chemistry, and energy systems. The goal is not to build a generic chatbot, but to create reliable ...

next page

Showing results 1-20

All JobsMachine Learning Chemistry Jobs

Machine Learning Chemistry information

See salary details

$13

$22

$32

How much do machine learning chemistry jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for machine learning chemistry in the United States is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Chemistry position, and why are they important?

To thrive in a Machine Learning Chemistry role, you need a solid background in chemistry, expertise in data science and machine learning algorithms, and typically an advanced degree in chemistry, computer science, or a related field. Familiarity with programming languages like Python or R and experience working with cheminformatics tools and machine learning frameworks (such as TensorFlow or scikit-learn) are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills enable professionals to bridge the gap between computational work and experimental research teams. These competencies are crucial for developing innovative solutions in chemical research and ensuring successful collaboration across interdisciplinary teams.

What is a Machine Learning Chemistry job?

A Machine Learning Chemistry job involves using artificial intelligence techniques to analyze chemical data, model molecular behaviors, and accelerate discoveries in chemistry-related fields. Professionals in this role develop and apply machine learning algorithms to predict chemical properties, optimize reactions, and assist in drug design, material science, and other applications. They typically work in pharmaceuticals, materials science, or environmental chemistry, collaborating with chemists, data scientists, and engineers to solve complex chemical problems efficiently.

What are the typical projects and daily responsibilities for someone working in Machine Learning Chemistry?

Professionals in Machine Learning Chemistry often work on projects such as developing predictive models for chemical property analysis, optimizing molecular structures, or advancing drug discovery through data-driven methods. Daily tasks may include data preprocessing, building and training machine learning models, validating results, and interpreting outcomes in collaboration with experimental chemists. Teamwork is common, with regular interactions between chemistry researchers, data scientists, and software engineers. This structure allows for iterative feedback and ensures that computational models align with practical lab needs. Continuous learning and adaptation are also key, as both the chemistry and machine learning fields are rapidly evolving.

More about Machine Learning Chemistry jobs
What cities are hiring for Machine Learning Chemistry jobs? Cities with the most Machine Learning Chemistry job openings:
What are the most commonly searched types of Machine Learning Chemistry jobs? The most popular types of Machine Learning Chemistry jobs are:
What states have the most Machine Learning Chemistry jobs? States with the most job openings for Machine Learning Chemistry jobs include:
What job categories do people searching Machine Learning Chemistry jobs look for? The top searched job categories for Machine Learning Chemistry jobs are:
Machine Learning Chemistry jobs near you
Infographic showing various Machine Learning Chemistry job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $46,292 per year, or $22.3 per hour.
Machine Learning Platform Engineer

Machine Learning Platform Engineer

Schrödinger

New York, NY • On-site

$120K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Schrödinger seeks a Machine Learning (ML) Platform Engineer to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of the Machine Learning team, you'll build scalable software systems that enable scientists and engineers to train, deploy, and analyze machine learning models at scale. Our machine learning platform, LiveDesignML, supports applications ranging from molecular property prediction and generative chemistry to protein modeling.
Who will love this job:
  • A highly-skilled software engineer who understands coding fundamentals, is experienced with Python, and has run projects end-to-end, from prototype to production
  • An ML expert who's familiar with PyTorch, TensorFlow, and scikit-learn
  • An analytical thinker who enjoys working with multi-dimensional data, solving data-processing problems, and digging through complex systems to solve technical problems
  • A polymath who's excited about working collaboratively in an interdisciplinary environment and comfortable with self-directed research and problem exploration

What you'll do:
  • Design and develop infrastructure supporting machine learning training, inference, and experimentation workflows
  • Build and maintain production systems that enable scientists to run large-scale ML workloads
  • Collaborate with scientists, ML researchers, and engineers to translate research ideas into reliable software tools
  • Contribute to backend services and APIs supporting ML workflows and platform features
  • Improve developer workflows, testing infrastructure, and deployment automation
  • Participate in code reviews and contribute to engineering best practices across the team
  • Pitch in on frontend components of the ML platform web interface when needed

What you should have:
  • BS, MS, or PhD in Computer Science, Machine Learning, Software Engineering, Mathematics, Physics, Chemistry, or a related field

Experience with the following is nice to have, but not required:
  • Cloud platforms like AWS or GCP
  • Containerization and orchestration (e.g., Docker, Kubernetes, Argo Workflows, Helm charts, etc.)
  • CI/CD systems and modern software development workflows (e.g., Jenkins, GitHub Actions, etc.)
  • Monitoring, logging, or observability systems
  • Distributed computing or large-scale ML workloads
  • ML training pipelines or experiment management
  • Data processing pipelines or large-scale data analysis
  • Source control systems (Git or similar)
  • Web application development (e.g., React, TypeScript, REST APIs)
  • Interest in scientific computing, chemistry, biology, physics, or related domains

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 regular catered meals in the office, 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: $120,000 - $145,000. 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.

Apply