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Machine Learning Research Intern Jobs in Chesterfield, MO

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.

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.

Safety Intern/CoOp

Saint Louis, MO ยท On-site

$21 - $30/hr

About The Position TheSafety Intern(AmerenSafety) is responsible for providing support ... Analysis of the interaction between co-workersand machinery/equipment. * Assessingthe effect of ...

About The Position TheSafety Intern(AmerenSafety) is responsible for providing support ... Analysis of the interaction between co-workersand machinery/equipment. * Assessingthe effect of ...

... research functions worldwide.What You'll Be Doing: Collaborate effectively within cross-functional ... Translate complex business problems into data-driven analytics and machine learning tasks, then ...

... machine learning to analyze vast internal and external datasets. This role is crucial for ... research functions worldwide. What You'll Be Doing: โ€ข Collaborate effectively within cross ...

... research functions worldwide. What You'll Be Doing: Collaborate effectively within cross-functional ... Translate complex business problems into data-driven analytics and machine learning tasks, then ...

Spend time with your Manager and Regional Vice President learning about responsibilities at their ... Jude Children's Research Hospital * Professional offices with a friendly team environment

Data Scientist

Chesterfield, MO ยท On-site

$110 - $150/hr

... research functions worldwide. What You'll Be Doing: * Collaborate effectively within cross ... Translate complex business problems into data-driven analytics and machine learning tasks, then ...

... research functions worldwide. What You'll Be Doing: Collaborate effectively within cross-functional ... Translate complex business problems into data-driven analytics and machine learning tasks, then ...

Scientist III, Data Sciences

Saint Louis, MO ยท 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 ...

Electrical Intern

Saint Louis, MO ยท On-site

$18 - $20/hr

Assisting with technical reports, research, and equipment specifications * Collaborating with ... Learning about building codes, standards, and energy-efficient design practices What You'll Learn:

Showing results 41-60

Machine Learning Research Intern information

See Chesterfield, MO salary details

$25.2K

$42.1K

$87.1K

How much do machine learning research intern jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning research intern in Chesterfield, MO is $42,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,200.00 and $45,500.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What job categories do people searching Machine Learning Research Intern jobs in Chesterfield, MO look for?

The top searched job categories for Machine Learning Research Intern jobs in Chesterfield, MO are:

What cities near Chesterfield, MO are hiring for Machine Learning Research Intern jobs?

Cities near Chesterfield, MO with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in Chesterfield, MO as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $42,147 per year, or $20.3 per hour.

AI Engineer

duvari group

Chesterfield, MO โ€ข On-site

Full-time

Re-posted 19 days ago


Job description

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve business processes, enhance decision-making, and drive operational efficiency. This individual will collaborate with technical and business stakeholders to identify opportunities for leveraging artificial intelligence and machine learning technologies across a variety of applications.

Key Responsibilities

  • Design, develop, and deploy AI and machine learning solutions that address business challenges and improve performance.
  • Build and maintain data pipelines and supporting infrastructure required for AI initiatives.
  • Integrate AI capabilities into existing applications, platforms, and workflows.
  • Partner with cross-functional teams to identify, evaluate, and prioritize AI use cases.
  • Monitor, optimize, and maintain model performance, scalability, and reliability.
  • Research emerging technologies and recommend innovative approaches to solving business problems.
  • Document technical solutions, processes, and implementation best practices.
  • Support ongoing enhancement and maintenance of deployed AI solutions.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered.
  • 2+ years of experience developing machine learning or AI-based solutions.
  • Proficiency in Python and experience working with modern AI/ML frameworks and libraries.
  • Experience with data processing, data analysis, and working with structured and unstructured datasets.
  • Understanding of APIs, system integrations, and software development best practices.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to communicate technical concepts effectively to both technical and non-technical audiences.

Preferred Qualifications

  • Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions.
  • Familiarity with cloud-based environments and modern data platforms.
  • Understanding of model deployment, monitoring, and lifecycle management practices.
  • Experience collaborating within agile software development environments.