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Research Assistant Machine Learning Jobs in Austin, TX

Keep track of emerging tech and trends, research the state-of-the-art deep learning models ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...

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 ...

Senior / Staff Machine Learning Engineer

Austin, TX · On-site

$124K - $171K/yr

Work closely with researchers, software engineers, and robotics experts to integrate ML into real ... Strong understanding of fundamental machine learning algorithms and neural network techniques.

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.

Conduct cutting-edge research in machine learning, with a focus on improving the performance and efficiency of LLMs. * Stay abreast of the latest advancements in AI and ML, and apply this knowledge ...

Showing results 41-60

Research Assistant Machine Learning information

See Austin, TX salary details

$8

$21

$31

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

As of Aug 13, 2026, the average hourly pay for research assistant machine learning in Austin, TX is $21.72, according to ZipRecruiter salary data. Most workers in this role earn between $18.37 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 Austin, TX? For Research Assistant Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Austin, TX look for? The top searched job categories for Research Assistant Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Research Assistant Machine Learning jobs? Cities near Austin, TX with the most Research Assistant Machine Learning job openings:
Infographic showing various Research Assistant Machine Learning job openings in Austin, TX as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,171 per year, or $21.7 per hour.

Assistant Machine Operator - Coating

Charta Group Inc.

Austin, TX • On-site

$14 - $15/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago


Job description

SCHEDULE

1st Shift: Mo - Fri 6am to 2:30pm.

2nd Shift: Mo - Fri 2:30pm to 11pm.

3er Shift: Mo - Fri 10pm to 6:30am.

PAY RATE: $14 - $15 DOE

POSITION SUMMARY

To assist in the operation of various machinery to produce specific products in accordance with specs, instructions, measurements or prototypes. A degree of skill, technique and mechanical knowledge is required. May be assigned to different types of machines as production needs require.

KEY RESPONSABILITIES

  • Load and unload materials onto or into machine by pushing, pulling, lifting, or stacking, either by hand or with equipment provided.
  • Move products, tools, pumps, hoses etc. to operate machines.
  • Inspect material during production run and report defective materials or questionable conditions to the lead operator.
  • Responsible for the functionality of the assigned coating station by maintaining mix level and pump pressure, rod speed and replacing filter bags as needed
  • Relate with all co-workers in congenial manner.
  • Maintain the work area and equipment in a clean and orderly condition.
  • Always follow prescribed safety regulations.
  • Assist the team in cleaning machines, tools and department
  • Other duties may be assigned to meet business needs.
  • Support the Lead/Supervisor in line operations, inspection activities, and demonstrate initiative in continuous learning and skill development.
  • Always maintain cleanliness of the department and all equipment.
  • Other duties may be assigned as business demands.

QUALIFICATIONS KNOWLEDGE AND SKILLS

  • Basic comfort with mechanical applications to become familiar with basic machine functions.
  • Ability to apply common sense understanding to carry out simple one or two step instructions.
  • Must read and follow written instructions and add and subtract simple fractions.
  • Ability to work independently or in teams while maintaining a favorable working relationship with other company employees.

EDUCATION

Graduation from high school or GED equivalent preferred. One (1) year relevant experience or any equivalent combination of education and experience that demonstrates the ability to do the job.

PHYSICAL DEMANDS

  • Regularly required to stand, stoop, kneel and/or crouch.
  • Capable to lift or move 50 lbs.
  • Occasionally required to climb or balance.
  • Ability to use hands to finger, handle or feel objects, tools or controls: reach with hands and arms; stoop, kneel, or crouch.

WORKING CONDITIONS

The work is performed in a warehouse environment. Workers are regularly exposed to dust, odors, noise and variable temperatures. The employee works with moving mechanical parts and machinery.

BENEFITS

  • Medical, dental, and vision coverage.
  • 401(k) retirement plan.
  • Paid holidays and generous PTO.
  • Career growth and promotional opportunities.
  • And much more!

The Marco Group is an equal-opportunity employer and complies with all applicable federal, state, and local non-discrimination laws. We provide equal employment opportunities regardless of race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity, genetic information, military/veteran status, or any other protected status. If you believe you have been discriminated against or have concerns about our compliance, please contact our Human Resources department.