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Associate Machine Learning Chemistry Jobs (NOW HIRING)

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

Partner with process and chemistry experts to understand the unit operations you're modeling. Desired Qualifications * 0-4 years of experience (including internships or research) in machine learning ...

Bayer

Principal Machine Learning Scientist

Cambridge, MA · On-site

$123K - $185K/yr

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 ...

Bayer

Principal Machine Learning Scientist

Cambridge, MA · On-site

$123K - $185K/yr

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 ...

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Associate Machine Learning Chemistry information

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$31.5K

$133.1K

$314.5K

How much do associate machine learning chemistry jobs pay per year?

As of Jun 19, 2026, the average yearly pay for associate machine learning chemistry in the United States is $133,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $202,000.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning Chemistry vs Associate Data Scientist?

AspectAssociate Machine Learning ChemistryAssociate Data Scientist
Required CredentialsBachelor's or Master's in Chemistry, Data Science, or related fields; familiarity with ML frameworksBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python/R
Work EnvironmentResearch labs, pharmaceutical or chemical companies, biotech firmsTech companies, finance, healthcare, consulting firms
Employer & Industry UsageUsed in industries applying ML to chemical data, drug discovery, materials scienceApplied across industries analyzing large datasets, predictive modeling

Associate Machine Learning Chemistry focuses on applying machine learning techniques specifically to chemical and scientific data, often within research or pharmaceutical settings. In contrast, Associate Data Scientist has a broader scope, working with various data types across multiple industries. Both roles require strong analytical skills and familiarity with ML tools, but their industry focus and data types differ.

What are Associate Machine Learning Chemists?

Associate Machine Learning Chemists are professionals who combine expertise in chemistry with skills in machine learning to analyze chemical data, develop predictive models, and accelerate scientific discovery. They often work on tasks like predicting molecular properties, optimizing chemical reactions, and supporting drug discovery efforts using computational tools. Typically, these roles require a strong foundation in chemistry, programming experience (often in Python), and familiarity with machine learning libraries. Associate positions are generally entry-level or early-career roles, providing support to senior scientists and data scientists in research and development teams.

How does an Associate Machine Learning Chemistry professional typically collaborate with research scientists and engineers?

As an Associate Machine Learning Chemistry professional, you will frequently work alongside research scientists and chemical engineers to develop predictive models and analyze experimental data. Collaboration involves translating chemical problems into machine learning tasks, sharing insights from model results, and participating in interdisciplinary meetings to refine research objectives. Effective communication and teamwork are essential, as you may be required to explain machine learning concepts to non-technical colleagues and integrate their domain expertise into your models. This collaborative environment fosters both scientific discovery and professional growth.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Chemistry, and why are they important?

To thrive as an Associate Machine Learning Chemistry professional, you need a solid background in chemistry, data analysis, and machine learning, typically supported by a relevant degree such as chemistry, computer science, or a related field. Experience with programming languages like Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and cheminformatics software is highly valued. Strong problem-solving skills, attention to detail, and the ability to communicate complex concepts clearly are crucial soft skills. These competencies enable effective collaboration on interdisciplinary teams and the development of innovative solutions in computational chemistry research.
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What cities are hiring for Associate Machine Learning Chemistry jobs? Cities with the most Associate 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:
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Associate Machine Learning Chemistry jobs near you
Infographic showing various Associate Machine Learning Chemistry job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 32% Full Time, 64% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $133,062 per year, or $64 per hour.
Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning

Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning

University of Florida

Gainesville, FL • On-site

Full-time

Posted 16 days ago

University Of Florida rating

7.2

Company rating: 7.2 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

333rd of 538 rated colleges and universities

Job description

Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning
Job no: 539783
Work type: Post Doc Associate
Location: Main Campus (Gainesville, FL)
Categories: Grant or Research Administration, Artificial Intelligence, Physical/Mathematical Sciences
Department:16120100 - LS-CHEMISTRY-GENERAL
Classification Title:
Post-Doctoral Associate in unsupervised and generative ML for chemistry
Classification Minimum Requirements:
PhD in Chemistry or related area
Strong coding (Python) and algorithm design skills
Expertise on ML tools for chemistry, in particular, generative AI
Experience with Python, ML, and AI for chemical applications
Job Description:
A Post-doctoral Associate in Theoretical Chemistry is available for work on a project in unsupervised and generative ML for chemical applications led by Dr. Ramon Miranda Quintana in the Department of Chemistry. We have a position available in our group to work on the development, implementation, and application of hyper-efficient unsupervised learning techniques to chemical problems, with emphasis on improvements to representation learning and generative methods.
Must have PhD in Chemistry or related area. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may be renewed for up to two years.
Expected Salary:
The salary is competitive and commensurate with qualifications and experience, and the compensation includes a full benefits package. To see more, visit benefits.hr.ufl.edu.
Required Qualifications:
PhD in Chemistry or related area
Strong coding (Python) and algorithm design skills
Expertise on ML tools for chemistry, in particular, generative AI
Experience with Python, ML, and AI for chemical applications
Preferred:
Familiarity with HPC systems
Proven track record of research in ML/AI for chemistry
Strong coding foundation (Python)
Knowledge of C++ and CUDA
Special Instructions to Applicants:
For full consideration, applications must be submitted online. Click on Apply Now at the top of this posting.
A complete application includes (1) a letter of application summarizing the applicant's qualifications, interests, and suitability for the position, (2) a complete curriculum vitae, (3) a list of at least two references. After initial review, letters of recommendation will be requested from the references for selected applicants.
Applications will be reviewed beginning immediately, and the position will remain open until filled. Only complete applications will be reviewed at this time. Applications received after this date may be considered at the discretion of the committee and/or hiring authority.
All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.
The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.
Health Assessment Required:No
Advertised: 05 May 2026 Eastern Daylight Time
Applications close:
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The University of Florida is one of the top ranked public universities in the United States (ranked top 5 amongst public universities in 2023 US news and world report). It is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus to facilitate interdisciplinary collaboration. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that's comfortable for families, yet attractive for young professionals.

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