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Ml Research Assistant Jobs (NOW HIRING)

Theorem

ML Research Engineer

San Francisco, CA · On-site

They are seeking an ML Research Engineer to develop software correctness feedback systems that ... to collaborate and assist team members • Willingness to explore new technologies and ...

Generalist AI, Inc

Research Assistant

San Mateo, CA · On-site

$150K - $200K/yr

We are looking for a Research Assistant to help design, run, and analyze experiments at the ... You will work closely with ML researchers and robotics engineers to run robot experiments, design ...

Howard University

Research Assistant

Washington, DC · On-site

$21 - $31/hr

Research Assistant will assist with user testing and user centered design of biometric technologies ... in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML). • ...

Howard

Research Assistant

Downing, WI

$21 - $31/hr

Research Assistant will assist with user testing and user centered design of biometric technologies ... Expertise in ML frameworks (scikit-learn, TensorFlow, PyTorch) and data processing (JSON, XML)

Mercor

ML Research Engineer - PhD

San Francisco, CA · Remote

$75 - $90/hr

Position: Human Baseliner for Open-Ended ML Research Tasks Type: Contract Compensation: $75-$90 ... Use preferred tools, including IDEs and AI coding assistants like Cursor , Claude Code , and ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... * Assist in writing peer-reviewed publications and conference abstracts. * Engage in building ...

NextSense

Senior ML/Research Scientist

Mountain View, CA

$116K - $148K/yr

About the Job: As a ML/Research Scientist, you will play a crucial role in developing next ... * Assist in writing peer-reviewed publications and conference abstracts. * Engage in building ...

Neura Market

VP, Research

San Francisco, CA · On-site

$454 - $567/hr

Lead the ML Research function, responsible for delivery, quality, performance, and roadmap execution * Build and scale a global high-performing team, with an emphasis on initiative ownership and ML ...

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How much do ml research assistant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ml research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What is an ML Research Assistant?

ML Research Assistants are individuals who support machine learning research projects by assisting with tasks like data collection and preprocessing, literature reviews, experimental setup, model training, and result analysis. They often collaborate with researchers, graduate students, and professors to advance the development and understanding of machine learning algorithms. ML Research Assistants may also help write research papers, prepare presentations, and maintain codebases. This role is common in academic, research, and industry settings, and serves as valuable experience for those interested in pursuing advanced studies or careers in artificial intelligence.

What skills and qualifications are needed to thrive as an ML Research Assistant?

To thrive as an ML Research Assistant, you need a solid background in mathematics, programming (Python, R), and a foundational understanding of machine learning concepts, often demonstrated by a relevant degree or coursework in computer science or data science. Familiarity with technical tools such as TensorFlow, PyTorch, Jupyter Notebooks, and version control systems like Git is crucial. Strong analytical thinking, attention to detail, and effective communication skills help you interpret research findings and collaborate within a team. These skills are vital to effectively support complex ML projects, contribute to innovative research, and ensure accurate, reproducible results.

What are common challenges faced by ML Research Assistants when collaborating with senior researchers and engineers?

ML Research Assistants often face the challenge of bridging the gap between theoretical research and practical implementation, especially when collaborating with experienced researchers and engineers. Communication can be complex, as they may need to translate high-level research goals into experimental setups or prototype code. Additionally, ML Research Assistants must stay adaptable, as project priorities can shift quickly based on new findings or feedback. Building strong documentation and proactive communication skills are key to ensuring seamless collaboration within multidisciplinary teams.

How to become an ML research assistant?

To become an ML research assistant, candidates typically need a strong background in computer science, mathematics, or related fields, along with programming skills in languages like Python and experience with machine learning frameworks such as TensorFlow or PyTorch. A relevant bachelor's degree is often required, and advanced roles may require a master's or PhD. Gaining research experience through internships, projects, or academic work can improve prospects.
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Ml Research Assistant jobs near you
Infographic showing various Ml Research Assistant job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

ML Research Engineer

Theorem

San Francisco, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Theorem is focused on building products that enhance the future of software by ensuring correctness, understandability, and security. They are seeking an ML Research Engineer to develop software correctness feedback systems that improve program analysis and formal reasoning capabilities in AI models.
Responsibilities:
• Post-training that make models as good at program analysis and formal reasoning as they are at writing Python.
• Interfaces for navigating complex implementations of simple specifications to help users find bugs, generate design documentation, and implement non-functional requirements using compiler-level reasoning methods.
Qualifications:
Required:
• Experience in machine learning and AI technologies
• Strong programming skills, particularly in Python
• Ability to work on large-scale projects
• Experience with software correctness and reliability
• Strong problem-solving skills
• Ability to collaborate and assist team members
• Willingness to explore new technologies and methodologies
Company:
Theorem is an AI based Software Development firm offering productivity and verification tools for development. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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