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Research Assistant Machine Learning Jobs in Chesterfield, MO

Bespoke Labs

Machine Learning Engineer

Saint Louis, MO · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Actalent

Biochemistry Research Assistant

Chesterfield, MO · On-site

$25 - $27/hr

Biochemistry Research Technician We are seeking a Formulation Specialist to support a high-priority ... Training involves hands-on learning over 2-3 weeks with direct supervision. The role involves a mix ...

Brooksource

MLE II

Saint Louis, MO · On-site

$50 - $55/hr

Collaborate with machine learning researchers, data scientists, and software engineers to productionize emerging AI capabilities. * Support model monitoring, platform reliability, and continuous ...

Deloitte

Lead AI and Data Science Engineer II

Saint Louis, MO · On-site

$99K - $131K/yr

In this role, you will lead complex data science work that combines research design, statistical analysis, machine learning, and application development to solve high-priority people challenges. You ...

duvari group

AI Engineer

Chesterfield, MO · On-site

Design, develop, and deploy AI and machine learning solutions that address business challenges and ... Research emerging technologies and recommend innovative approaches to solving business problems.

duvari group

AI Engineer

Chesterfield, MO · On-site

Design, develop, and deploy AI and machine learning solutions that address business challenges and ... Research emerging technologies and recommend innovative approaches to solving business problems.

duvari group

AI Engineer

Chesterfield, MO · On-site

Design, develop, and deploy AI and machine learning solutions that address business challenges and ... Research emerging technologies and recommend innovative approaches to solving business problems.

SwiftCruit

Scientist III, Data Sciences

Saint Louis, MO · On-site

$110 - $165/hr

You'll apply advanced analytics, machine learning, and AI techniques to solve complex business ... Domain knowledge in life sciences, healthcare, or clinical research valued * Strong problem-solving ...

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Research Assistant Machine Learning information

See Chesterfield, MO salary details

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How much do research assistant machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for research assistant machine learning in Chesterfield, MO is $21.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.24 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Chesterfield, MO? For Research Assistant Machine Learning jobs in Chesterfield, MO, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Chesterfield, MO look for? The top searched job categories for Research Assistant Machine Learning jobs in Chesterfield, MO are:
What cities near Chesterfield, MO are hiring for Research Assistant Machine Learning jobs? Cities near Chesterfield, MO with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Chesterfield, MO as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,104 per year, or $21.7 per hour.

Machine Learning Engineer 727

Freedom Technology Solutions Group

Saint Louis, MO • On-site

Full-time

Posted 23 days ago

Job description

Freedom Technology Solutions Group is seeking a Machine Learning Engineer to develop, deploy, and optimize production AI/ML capabilities supporting mission-critical geospatial and intelligence systems. You will work at the intersection of software engineering, cloud architecture, and data science to build scalable machine learning pipelines capable of operating within secure government environments.

This is a hands-on engineering position focused on moving models from research into reliable production systems.


Responsibilities:

  • Da
  • Design, train, validate, and deploy machine learning models
  • Build production inference pipelines
  • Develop feature engineering workflows
  • Optimize model performance and resource utilization
  • Implement MLOps pipelines supporting continuous integration and deployment
  • Build scalable APIs exposing AI capabilities
  • Monitor model drift and operational performance
  • Collaborate with Data Scientists and Software Engineers
  • Deploy AI workloads into AWS cloud environments
  • Support computer vision, NLP, and geospatial AI initiatives
  • Collaborate with architects, data scientists, and mission stakeholders to gather, document, and refine customer requirements, including data mapping and integration needs
  • Assist in implementing integration solutions in collaboration with development team members
  • Facilitate communication between stakeholders to ensure timely and effective requirements execution
  • Ensure activities align with established processes, standards, and mission objectives
  • Contribute to documentation of processes, procedures, integration patterns, and lessons learned


Key Technologies

  •  A
  • Python
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face
  • MLflow
  • Docker/Podman
  • Kubernetes/EKS
  • ECS
  • Lambda
  • SageMaker
  • GitLab CI/CD
  • Linux
  • PostgreSQL/PostGIS, Aurora, Oracle (w/Spatial)
  • Redis, Elasticache
  • GDAL, Rasterio, OGR

Required Qualifications

  • Active TS/SCI clearance (eligible for CI Poly)
  • 1-3(Junior), 3-7(Journeyman), 8-11 (Senior), >12 (Principal) years of experience in software development, system integration, or technical support roles
  • Experience working directly with customers or stakeholders in a technical or mission environment
  • Strong communication and coordination skills across technical and non-technical teams
  • Experience gathering and documenting requirements
  • Ability to manage multiple tasks and priorities in a dynamic environment
  • Familiarity with Agile development practices
  • Experience using GitLab or similar tools for collaboration and tracking


Desired Qualifications

  • Experience deploying production AI systems
  • Experience with computer vision
  • Experience with large language models
  • Geospatial AI experience
  • AWS AI services
  • Experience processing satellite imagery
  • Familiarity secure data movement environments
  • Experience working with enterprise service processes such as Service+
  • Development or scripting experience (Python, JavaScript, or similar)
  • Geospatial/GIS development a plus
  • Experience with data mapping or integration workflows (using JSON or other object notation)
  • Familiarity with operational dashboards and metrics reporting
  • Experience supporting customer requirement implementation and/or system integration efforts

Apply