Responsibilities : • You will join Prescient Design within the Computational Sciences organization in gRED. • Your peers will be machine learning scientists, engineers, computational chemists ...
Responsibilities : • You will join Prescient Design within the Computational Sciences organization in gRED. • Your peers will be machine learning scientists, engineers, computational chemists ...
Collaborate with machine learning scientists, engineers, computational chemists, and biologists. * Partner with therapeutic development teams to analyze existing molecules and design new candidates.
Quick apply
Collaborate with machine learning scientists, engineers, computational chemists, and biologists. * Partner with therapeutic development teams to analyze existing molecules and design new candidates.
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to ...
Leash Biosciences is at the forefront of integrating machine learning with drug discovery, aiming to revolutionize medicinal chemistry. They are seeking a highly skilled Machine Learning Engineer to ...
Machine Learning Engineer
Ann Arbor, MI · On-site
... chemistry experts to understand the unit operations you're modeling. Qualifications : Required : • 0-4 years of experience (including internships or research) in machine learning, reinforcement ...
Machine Learning Engineer
Ann Arbor, MI · On-site
... chemistry experts to understand the unit operations you're modeling. Qualifications : Required : • 0-4 years of experience (including internships or research) in machine learning, reinforcement ...
Machine Learning Engineer
Boston, MA · On-site
$150 - $200/hr
About Superluminal Medicines Superluminal Medicines is a generative biology and chemistry company ... About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ...
Machine Learning Engineer
Boston, MA · On-site
$150 - $200/hr
About Superluminal Medicines Superluminal Medicines is a generative biology and chemistry company ... About the Role We are seeking a high-impact Machine Learning Developer/Engineer to join our ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136K/yr
Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to enable generative design. Expedition Medicines is backed by Flagship ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136K/yr
Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to enable generative design. Expedition Medicines is backed by Flagship ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136K/yr
Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to enable generative design. Expedition Medicines is backed by Flagship ...
(Senior) Scientist, Machine Learning
Cambridge, MA · On-site
$100K - $136K/yr
Our platform integrates novel small molecule chemistry and chemoproteomic discovery technologies with Machine Learning (ML) to enable generative design. Expedition Medicines is backed by Flagship ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Partner with process and chemistry experts to understand the unit operations you're modeling. Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning ...
Machine Learning Engineer
Ann Arbor, MI · On-site
$120K - $180K/yr
Partner with process and chemistry experts to understand the unit operations you're modeling. Desired Qualifications * 2-8+ years of experience (including internships or research) in machine learning ...
Required : • Bachelor's or Master's degree in Computer Science, Chemistry, Physics, Data Science ... machine learning systems using PyTorch • Familiarity with undergraduate-level organic chemistry ...
Required : • Bachelor's or Master's degree in Computer Science, Chemistry, Physics, Data Science ... machine learning systems using PyTorch • Familiarity with undergraduate-level organic chemistry ...
Scientist, Machine Learning
South San Francisco, CA · On-site
$170K - $220K/yr
We continue to advance this platform by developing new machine learning methods and unique ... Foundational knowledge of physics, chemistry, and molecular biology. * Demonstrated ability to ...
Scientist, Machine Learning
South San Francisco, CA · On-site
$170K - $220K/yr
We continue to advance this platform by developing new machine learning methods and unique ... Foundational knowledge of physics, chemistry, and molecular biology. * Demonstrated ability to ...
Machine Learning Modeling Engineer
Corning, NY · On-site
$100 - $125/hr
Background in one or more scientific disciplines such as physics, chemistry, or engineering required. * Experience preparing data for machine learning and performing exploratory data analysis ...
Machine Learning Modeling Engineer
Corning, NY · On-site
$100 - $125/hr
Background in one or more scientific disciplines such as physics, chemistry, or engineering required. * Experience preparing data for machine learning and performing exploratory data analysis ...
Postdoctoral Researcher - Scientific Machine Learning & Computational Chemistry
Bodega Bay, CA · On-site
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Postdoctoral Researcher - Scientific Machine Learning & Computational Chemistry
Bodega Bay, CA · On-site
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Scientist, Machine Learning
South San Francisco, CA · On-site
$170K - $220K/yr
We continue to advance this platform by developing new machine learning methods and unique ... Foundational knowledge of physics, chemistry, and molecular biology. * Demonstrated ability to ...
Scientist, Machine Learning
South San Francisco, CA · On-site
$170K - $220K/yr
We continue to advance this platform by developing new machine learning methods and unique ... Foundational knowledge of physics, chemistry, and molecular biology. * Demonstrated ability to ...
... chemistry, or engineering required. • Experience preparing data for machine learning and performing exploratory data analysis independently. • Deep knowledge of machine learning techniques ...
... chemistry, or engineering required. • Experience preparing data for machine learning and performing exploratory data analysis independently. • Deep knowledge of machine learning techniques ...
Background in one or more scientific disciplines such as physics, chemistry, or engineering required. Experience preparing data for machine learning and performing exploratory data analysis ...
Background in one or more scientific disciplines such as physics, chemistry, or engineering required. Experience preparing data for machine learning and performing exploratory data analysis ...
... chemistry, or engineering required. • Experience preparing data for machine learning and performing exploratory data analysis independently. • Deep knowledge of machine learning techniques ...
... chemistry, or engineering required. • Experience preparing data for machine learning and performing exploratory data analysis independently. • Deep knowledge of machine learning techniques ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$160K/yr
... Physics/Chemistry or related technical subject area * 5+ years of demonstrated experience ... Experience with Python and exposure to modern machine learning frameworks * Proficient in SQL ...
Machine Learning Engineer
San Francisco, CA · On-site +1
$160K/yr
... Physics/Chemistry or related technical subject area * 5+ years of demonstrated experience ... Experience with Python and exposure to modern machine learning frameworks * Proficient in SQL ...
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
... Physics/Chemistry or related technical subject area * 5+ years of demonstrated experience ... Experience with Python and exposure to modern machine learning frameworks * Proficient in SQL ...
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Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
... Physics/Chemistry or related technical subject area * 5+ years of demonstrated experience ... Experience with Python and exposure to modern machine learning frameworks * Proficient in SQL ...
Principal Machine Learning Scientist
Cambridge, MA · On-site
$150 - $200/hr
D. degree in Computational Chemistry/Biology, Chem/Bioinformatics, Chemical/Biological/Molecular Engineering, or a related field at the intersection of life sciences and computer science; * Deep ...
Principal Machine Learning Scientist
Cambridge, MA · On-site
$150 - $200/hr
D. degree in Computational Chemistry/Biology, Chem/Bioinformatics, Chemical/Biological/Molecular Engineering, or a related field at the intersection of life sciences and computer science; * Deep ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site
$200 - $250/hr
We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work alongside machine learning ...
Machine Learning Infrastructure Engineer
San Mateo, CA · On-site
$200 - $250/hr
We conduct fundamental research at the intersection of machine learning, physics, and computational chemistry, pushing the boundaries of each field. You will work alongside machine learning ...
Machine Learning Chemistry information
See salary details
$13.46 - $15.17
4% of jobs
$15.17 - $16.87
11% of jobs
$18.12 is the 25th percentile. Wages below this are outliers.
$16.87 - $18.58
14% of jobs
$18.58 - $20.28
19% of jobs
The median wage is $20.54 / hr.
$20.28 - $21.98
14% of jobs
$21.98 - $23.69
12% of jobs
$23.92 is the 75th percentile. Wages above this are outliers.
$23.69 - $25.39
12% of jobs
$25.39 - $27.10
3% of jobs
$27.10 - $28.80
1% of jobs
$28.80 - $30.51
6% of jobs
$30.51 - $32.21
4% of jobs
$13
$22
$32
How much do machine learning chemistry jobs pay per hour?
As of Sep 8, 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 is a machine learning chemistry?
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 does a machine learning chemistry do?
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.
What are the key skills and qualifications needed to thrive in machine learning chemistry?
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.
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 are popular job titles for Machine Learning Chemistry?
Popular job titles for Machine Learning Chemistry:
Full-time
Re-posted yesterday
Job description
Job Summary:
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Tranzeal Incorporated is seeking talented Machine Learning Engineers to join Prescient Design, a division focused on molecular design methods. The successful candidate will manage projects deploying machine learning techniques for drug design and optimization.
Responsibilities:
• You will join Prescient Design within the Computational Sciences organization in gRED.
• Your peers will be machine learning scientists, engineers, computational chemists, and computational biologists.
• You will closely collaborate with scientists within Prescient and across gRED.
• You will develop machine learning and Bayesian optimization workflows to analyze existing, and design new, small and large molecules.
• You will be expected to form close working relationships with small molecule and protein therapeutic development efforts across the gRED organization.
• You will be expected to work on existing projects and generate new project ideas.
Qualifications:
Required:
• PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry experience.
• Demonstrated experience with machine learning libraries in production-ready workflows (e.g., PyTorch + Lightning + Weights and Biases)
• Record of achievement, including at least one high-impact first author publication or equivalent.
• Excellent written, visual, and oral communication and collaboration skills.
Preferred:
• Experience with physical modeling methods (e.g., molecular dynamics) and cheminformatics toolkits (e.g., rdkit)
• Previous focus on one or more of these areas: molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, statistical methods.
• Public portfolio of computational projects (available on e.g. GitHub)
Company:
Tranzeal is an industry leading global Business Transformation Service Provider. Founded in , the company is headquartered in San Jose, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About Tranzeal
Sourced by ZipRecruiter
Tranzeal is an industry leading global Business Transformation Service Provider. We offer specific consulting services as well as pre-packaged, industry specific solutions and services to companies around the world. Since our foundation, Tranzeal has evolved from a small start up company to a mid market player dedicated to providing solutions and services to SMB and large enterprise customers. Our Consulting Services are dedicated to helping our Clients maximize their investments in IT and the overall effectiveness and efficiency of the business. Tranzeal has built its center of competency in Enterprise Resource Planning, Business Intelligence, Supply Chain Management, Customer Resource Management and Information Integration solutions, as well as specific Service orientated offerings such as Test, Quality Assurance and Data Management.
Industry
Business management consulting
Company size
51 - 200 Employees
Headquarters location
San Jose, CA, US