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Research Assistant Machine Learning Jobs in Missouri

Contribute to the research, design, implementation, and testing of CV and/or AI/ML software ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...

$18/hr

NETL - Undergraduate Research Assistant ---- Hiring Department: Walker Department of Mechanical ... Machining simple components as needed. * Collaborating with faculty, senior researchers, and other ...

Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable ... Research and prototype new technologies to support rapid business growth. * Interact cross ...

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 ...

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 ...

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 ...

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 ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Research Assistant Machine Learning information

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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 Missouri is $20.55, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $23.89 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 Missouri? For Research Assistant Machine Learning jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Research Assistant Machine Learning jobs? Cities in Missouri with the most Research Assistant Machine Learning job openings:
Infographic showing various Research Assistant Machine Learning job openings in Missouri 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 $42,746 per year, or $20.6 per hour.

Machine Learning Engineer, Generative ML

Jobtailor

California, MO • On-site

$180 - $240/hr

Other

Posted 5 days ago


Job description

Responsibilities
  • Develop innovative machine learning technology and products that serve millions of Snapchatters
  • Work on state of the art GenAI pipelines for image, video, and audio generation
  • Deliver generative machine learning experiences on device
  • Build cutting-edge augmented reality experiences using generative and diffusion models
  • Partner with cross-functional Snap teams to explore and prototype new products
Requirements
  • Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
  • 5+ years of post-Bachelor’s machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
  • Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning
  • Strong software development skills in Python or C++
  • Proficiency working with major deep learning frameworks: PyTorch or TensorFlow
  • Knowledge of mathematics and deep learning foundations
  • Desire to solve open ambiguous problems
  • Desire to grow professionally, learn and help others
  • Ability to effectively collaborate with internal teams and external partners
  • Ability to work independently
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