ZipRecruiter

Log In

1

Associate Machine Learning Chemistry Jobs in California

Strativ Group

Senior Product Manager

San Francisco, CA · On-site

$149K - $196K/yr

We are partnered with a frontier AI research lab that is revolutionizing drug discovery by combining advanced machine learning, computational chemistry, and biology to uncover new therapeutic ...

next page

Showing results 1-20

All JobsAssociate Machine Learning Chemistry JobsAssociate Machine Learning Chemistry Jobs in California

Associate Machine Learning Chemistry information

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.
What are the most commonly searched types of Machine Learning Chemistry jobs in California? The most popular types of Machine Learning Chemistry jobs in California are:
What are popular job titles related to Associate Machine Learning Chemistry jobs in California? For Associate Machine Learning Chemistry jobs in California, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning Chemistry jobs in California look for? The top searched job categories for Associate Machine Learning Chemistry jobs in California are:
What cities in California are hiring for Associate Machine Learning Chemistry jobs? Cities in California with the most Associate Machine Learning Chemistry job openings:
Associate Machine Learning Chemistry jobs near you
Associate Machine Learning Scientist

Associate Machine Learning Scientist

Universal Music Group

Santa Monica, CA • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Universal Music Group rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

24th of 67 rated media

Job description

We are UMG, the Universal Music Group. We are the world's leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.
How we LEAD:
To support the development, testing, and deployment of machine learning models that improve UMG's forecasting accuracy, automation capabilities, and analytical insight. You will work closely with senior scientists to turn data into reliable, well-documented models while building strong foundations in applied machine learning best practices.
How you'll CREATE:
Model Development & Analysis:
  • Develop, train, and evaluate machine learning models under the guidance of senior team members. You will contribute to feature engineering, model experimentation, validation, and performance analysis across structured and unstructured data sets.
  • Assist in implementing and maintaining models in production environments, including monitoring performance and retraining workflows as data evolves.
  • Conduct exploratory data analysis to identify patterns, anomalies, and opportunities for odelling improvement, translating findings into clear technical summaries.

Applied Learning & Tooling:
  • Contribute to traditional ML and Generative AI projects, gaining hands-on experience with predictive models, NLP workflows, and automation pipelines.
  • You will learn when different odelling approaches are appropriate and how they fit into broader business systems.
  • Write clean, well-documented code and support reproducible experimentation through version control, experiment tracking, and model documentation.

Collaboration & Governance:
  • Work closely with data engineers, analysts, and senior scientists to ensure models are grounded in high-quality data and aligned with business needs.
  • Support the preparation of model outputs and insights for downstream consumption in dashboards, reports, or financial models.
  • Follow established best practices around data hygiene, privacy, and ethical model use. You will learn how governance and compliance considerations shape real-world ML systems.

Bring your VIBE:
  • BS or MS in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
  • 1-3 years of experience applying machine learning techniques through coursework, research, or professional experience.
  • Proficiency in Python and familiarity with common ML libraries (Scikit-Learn, PyTorch or TensorFlow).
  • Foundational understanding of machine learning concepts, including model evaluation, overfitting, and feature engineering.
  • Curiosity, strong analytical instincts, and a desire to learn how ML creates real business value beyond model accuracy.

Perks Playlist:
Join an entrepreneurial, global organization where authenticity, boldness, creativity, connection, drive, and insight aren't just values-they're how we work every day. Here are some of the ways we support you along the way (and just a few of the benefits we offer):
  • Comprehensive medical, dental, and vision coverage
  • Including 100% coverage for out-patient in-network mental health services
  • Fertility coverage for eligible medical plan participants
  • Wellbeing reimbursements for fitness classes, spa treatments, meal services, travel, and so much more (up to $720/year)
  • Student Loan Repayment Assistance and Tuition Reimbursement
  • 401(k) with 100% immediate vesting on the first 5% of your contributions, plus an additional UMG contribution

A variety of ways to prioritize much-needed time away from work including:
  • Flexible Paid Time Off (PTO) for exempt employees
  • 3-weeks PTO for non-exempt employees
  • 2-weeks paid Winter Break
  • 10 Company Holidays (including Juneteenth and Wellbeing Day)
  • Summer Fridays (between Memorial Day and Labor Day)
  • Generous paid parental leave for every type of parent

Check out our full overview of benefits on the Perks Playlist page of the career site.
Disclaimer: This job description only provides an overview of job responsibilities that are subject to change.
Universal Music Group is an Equal Opportunity Employer
We are an E-Verify employer in Alabama, Arizona, Georgia, Mississippi, North Carolina, South Carolina, Tennessee, and Utah.
Please note, UMG is not enrolled in E-Verify in California and New York, and cannot support employment of candidates whose employer must enroll in E-Verify, for example candidates on STEM-OPT.
For more information, please click on the following links.
E-Verify Participation Poster: English / Spanish
E-Verify Right to Work Poster: English | Spanish
Job Category:
Data, Analytics & Business Intelligence
Salary Range:
$90,000-$110,000
The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. All candidates are encouraged to apply.

What Universal Music Group employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply