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Associate Machine Learning Chemistry Jobs in California

Amat

Physicist/Scientist Machine Learning

Santa Clara, CA · On-site +1

$138K - $190K/yr

... Chemistry), or Computer Science * Significant experience developing machine learning or deep ... learning models using data from multidimensional numerical simulations (e.g., PDEbased solvers ...

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Associate Machine Learning Chemistry information

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.

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 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.

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 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

2026 PhD Residency - AI for Chemistry (Early Stage Project)

X, the moonshot factory

Mountain View, CA • On-site

$109K - $157K/yr

Full-time

Posted 22 days ago

Job description

2 0 2 6 P h D R e s i d e n c y - A I f o r C h e m i s t r y ( E a r l y S t a g e P r o j e c t )
Internship Mountain View, CA
How you will make 10x impact:
  1. Collaborating with the X Project team to applying AI and computational techniques to the project's mission
    1. Understanding the project's challenges
    2. Suggesting a number of ways in which AI can apply to those challenges
    3. Prototyping solutions
    4. Work closely with team members implement solutions
  2. Learning Moonshot thinking, attending colloquium and tech talks.
  3. Engaging with the resident intern community during the program
  4. Having fun!

This project aims to push the limits of science and modeling as we know them and to prove how ML can radically accelerate our understanding of the world
  • Location: X's headquarters in Mountain View, CA
  • Start Date(s): Year-round rolling basis
  • Duration: a flexible 4 mo. to 1 year program based on project team needs and your availability

Throughout your AI Residency you can expect:
  • To be embedded into one of our confidential or public X projects
  • To get paid competitively and receive benefits
  • To be a part of a lively community of AI and ML Residents
  • To attend tech-talks with AI leaders from across X

What you should have:
  • Currently enrolled in an doctoral (PhD) program in AI, machine learning, chemistry, computational chemistry, or a related field
  • Experience with one or more general purpose programming languages, including but not limited to: Python, Java, C/C++
  • Experience with one or more of computational chemistry, synthesis planning and/or solution-phase organic reaction simulation.
  • Experience with machine learning systems, algorithms or applications such as: deep learning, computer vision, robotics, optimization, on-device learning, nlp, audio/speech recognition, signal processing or time-series analysis.

It'd be great if you also had these:
  • Experience and interest in organic chemistry (synthesis, mechanisms, etc)
  • Experience working with molecular representations
  • Experience in applying computational techniques to simulating reactions (solution phase organic reactions, etc)
  • An understanding of techniques in ML/RL and how they might be applied to synthesis and retrosynthesis planning.

Additional public information :
https://www.wired.com/video/watch/astro-teller-captain-of-moonshots-at-x-speaks-at-wired25
https://www.bloomberg.com/news/videos/2019-10-10/alphabet-x-s-astro-teller-on-bloomberg-studio-1-0-video
The US base salary range for this position is $109,000 - $157,000 + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.
An Equal Opportunity Workplace
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
If you have a disability or special need that requires accommodation, please contact us at x-accommodation-request@x.team .

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