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Associate Machine Learning Chemistry Jobs in Washington

GRVTY

Data Scientist 2

Annapolis Junction, MD

This role combines artificial intelligence and machine learning skills with a strong foundation in ... Bachelor's Degree with 3 years of relevant experience or an Associates degree with 5 years of ...

GRVTY

Data Scientist 3

Annapolis Junction, MD

Associates degree with 12 years of relevant experience * Bachelor'sDegree must be in Mathematics ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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All JobsAssociate Machine Learning Chemistry JobsAssociate Machine Learning Chemistry Jobs in Washington

Associate Machine Learning Chemistry information

What is an associate machine learning chemistry?

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 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 Washington?

The most popular types of Machine Learning Chemistry jobs in Washington are:

What are popular job titles related to Associate Machine Learning Chemistry jobs in Washington?

For Associate Machine Learning Chemistry jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Associate Machine Learning Chemistry jobs in Washington look for?

The top searched job categories for Associate Machine Learning Chemistry jobs in Washington are:

What cities in Washington are hiring for Associate Machine Learning Chemistry jobs?

Cities in Washington with the most Associate Machine Learning Chemistry job openings:

Associate Machine Learning Chemistry jobs near you
Infographic showing various Associate Machine Learning Chemistry job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

NIST PREP Research Associate in Physical AI

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$88K - $100K/yr

Full-time

Posted 12 days ago

Job description

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.
Research Title: Physical AI Researcher
The work will entail:
NIST is investigating the performance of commercial and custom AI systems (hardware and software) for Physical AI applications, specifically in machine learning, reinforcement learning, and foundation model training for Vision-Language Models (VLMs) and Vision-Language Action (VLA) architectures. The work will focus on leveraging physics-based simulations (e.g., Gazebo, MuJoCo, Drake) and synthetic data generation within platforms like NVIDIA IsaacSim / GR00T / Cosmos to conduct experiments, analyze system capabilities, and generate high-quality data to train robust Physical AI systems.
Key responsibilities will include but are not limited to:
  • Develop Physical AI applications using machine learning and reinforcement learning.
  • Research and develop Foundational model training for Vision-Language Models (VLMs) and Vision-Language Action (VLA) architectures.
  • Research and develop methods for synthetic data generation within platforms like NVIDIA IsaacSim / GR00T / Cosmos to conduct experiments to analyze system capabilities, and generate high-quality data to train robust Physical AI Systems.
  • Write reports and develop weekly presentations to explain the progress of the project
  • Work Schedule: On-campus (Gaithersburg, MD), Full-Time (40 hrs / week)

Qualifications
  • US Citizen Preferred
  • Education: Engineering / Computer Science majors with Master's Degree or Ph.D, or in the final year of degree (e.g., Computer Science, Robotics, Mechanical Engineering or similar)
  • Strong programming experience in Python and C++
  • Experience in AI / Machine Learning frameworks (e.g., TensorFlow, PyTorch, etc.)
  • Experience with developing and applying tools for Machine Learning, Reinforcement Learning, and Foundational Models for Vision-Language Models (VLM) and Vision-Language Action (VLA) architectures
  • Experience in Synthetic data generation in and for NVIDIA IsaacSim, GR00T, and Cosmos environments
  • Experience in Physics-based simulation engines (e.g., Gazebo, MuJoCo, Drake, etc.)
  • Experience with version control software and workflow (e.g., Git, GitHub, GitLab, BitBucket, etc)
  • Experience with Unix / Linux Operating systems
  • Experience with ROS 2 on Linux systems
  • Some experience in with CAD software (e.g., SolidWorks, OnShape, etc.)

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0005086

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