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Remote Junior Machine Learning Intern Jobs (NOW HIRING)

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

Together with a small machine learning team, you will be responsible to ensure the successful ... Remote-first environment (if that's your thing) * Dedicated collaborative office space in NoVA (if ...

We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...

Machine Learning Engineer

Washington, DC ยท On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Remote Commitment: 5-10 hours per week (flexible) Duration: 3-6 months (with potential extension ... Role Overview We are seeking a Machine Learning Engineer (Volunteer) to help design, build, and ...

Machine Learning Engineer

Washington, DC ยท On-site +1

$130K - $200K/yr

We are seeking a Machine Learning Engineer (3-5+ years of experience) to help design, build ... Fully remote, U.S.-based * Health Benefits : Comprehensive health, dental, and vision coverage Time ...

Machine Learning Engineer We're seeking a skilled Machine Learning Engineer to build and deploy ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Staff Machine Learning Engineer

New York, NY ยท On-site +1

$179K - $224K/yr

Mentorship of junior engineers and contribution to DEIB initiatives Preferred Skills: * Master ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Principal Machine Learning Engineer

New York, NY ยท On-site +1

$207K - $258K/yr

Mentorship of junior engineers and contribution to DEIB initiatives Preferred Skills: * PhD in ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Machine Learning Engineer

Manhattan, NY ยท Remote

$154K/yr

Machine Learning Engineer (AI Data Trainer) About the Role What if your machine learning expertise ... Remote * Commitment : 10-40 hours/week What You'll Do * Construct precise, well-structured ...

Staff Machine Learning Engineer

Denver, CO ยท On-site +1

$206K - $230K/yr

Remote options are available for the following states - AZ, AR, CA, FL, GA, IL, IN, IA, KS, MD, MA ... Track record of mentoring junior engineers or leading cross-functional initiatives. About Ibotta ...

Sr. Machine Learning Engineer

Bradenton, FL ยท Remote

$111K - $146K/yr

Mentors junior team members and provides constructive critique on specific projects. The Sr. ... The ability to work collaboratively with remote teams. * Experience with containerization using ...

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production ...

Senior Machine Learning Engineer

Detroit, MI ยท Remote

$126K - $180K/yr

In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Machine Learning Engineer

Colorado Springs, CO ยท On-site +1

$100K - $160K/yr

Work in Linux-based, containerized development environments using VS Code Dev Containers, Remote ... in machine learning, data science, or backend software development. * Hands-on experience ...

Machine Learning Engineer - Remote

Vienna, VA ยท On-site +1

$140K - $150K/yr

Share knowledge and mentor junior team members. Required Skills: * 5+ years of experience in ML Engineering or Applied Machine Learning. * Strong Python skills and hands-on experience with ML ...

Senior Machine Learning Engineer

Detroit, MI ยท On-site +1

$126K - $180K/yr

In this senior role, you'll play a pivotal part in shaping our AI roadmap, mentoring junior ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

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Showing results 1-20

Remote Junior Machine Learning Intern information

See salary details

$25.5K

$42.6K

$88K

How much do remote junior machine learning intern jobs pay per year?

As of Jun 20, 2026, the average yearly pay for remote junior machine learning intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by Remote Junior Machine Learning Interns when collaborating with distributed teams?

As a Remote Junior Machine Learning Intern, one common challenge is maintaining clear communication with team members across different time zones. It's important to be proactive in scheduling meetings, providing timely updates, and asking questions through collaboration tools like Slack or Microsoft Teams. Additionally, interns may need to manage their time effectively to balance independent learning with project deadlines. Adapting to remote code reviews and feedback loops can also take practice, but these experiences are valuable for building strong collaboration skills in a distributed environment.

What is the difference between Remote Junior Machine Learning Intern vs Remote Data Science Intern?

AspectRemote Junior Machine Learning InternRemote Data Science Intern
Required CredentialsBasic programming skills, coursework in ML or AIStatistics, programming, data analysis coursework
Work EnvironmentCollaborative teams, online platforms, internship programsData analysis projects, research teams, remote settings
Industry UsageTech companies, startups, research labsBusiness analytics, tech, finance, healthcare
Search & Comparison IntentUnderstanding entry-level ML roles, internshipsExploring data analysis internship opportunities

The Remote Junior Machine Learning Intern typically focuses on developing machine learning models and algorithms, requiring basic programming and ML coursework. In contrast, the Remote Data Science Intern emphasizes data analysis, statistical skills, and interpreting data insights. Both roles are remote, often found in tech and research industries, but they serve different functions within data-driven projects.

What are Remote Junior Machine Learning Interns?

Remote Junior Machine Learning Interns are entry-level professionals who work remotely to assist with machine learning projects. They typically support data preprocessing, model development, and basic data analysis under the guidance of senior team members. These interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch while learning about real-world applications of machine learning. The remote aspect allows them to collaborate with teams from anywhere, making it a flexible option for students or recent graduates interested in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive as a Remote Junior Machine Learning Intern, and why are they important?

To thrive as a Remote Junior Machine Learning Intern, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and relevant coursework or a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, self-motivation, and effective written communication are crucial for collaborating remotely and learning independently. These skills and qualities enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow within distributed teams.
Infographic showing various Remote Junior Machine Learning Intern job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Part Time. Highlights an 100% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer - Expert

Mercor

San Francisco, CA โ€ข On-site, Remote

$90/hr

Full-time

Posted 15 days ago


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Machine Learning Engineer Expert
Type: Contract
Compensation: $90/hour
Location: Remote

Role Responsibilities

  • Develop end-to-end machine learning solutions for challenging prediction and modeling problems.
  • Analyze datasets and define appropriate modeling approaches, validation strategies, and evaluation metrics.
  • Perform exploratory data analysis, feature engineering, and data preprocessing.
  • Train, tune, and evaluate machine learning models across tabular, text, image, and time-series datasets.
  • Review and validate the technical quality of machine learning projects and deliverables.
  • Identify opportunities to improve model performance through systematic experimentation and iteration.

Qualifications

Must-Have

  • Master's degree or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related field from a top-tier university.
  • 2+ years of professional experience in machine learning, applied AI, data science, or a closely related field.
  • Strong proficiency in Python and modern machine learning frameworks (e.g., scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow).
  • Demonstrated experience building end-to-end machine learning solutions, including data preparation, model development, validation, and evaluation.
  • Strong understanding of model evaluation metrics, validation methodologies, and experimental design.
  • Experience with one or more of the following areas: tabular machine learning, natural language processing, computer vision, recommendation systems, ranking systems, time-series forecasting.
  • Ability to work independently on open-ended machine learning problems and deliver high-quality technical outputs.

Preferred

  • PhD from a leading research university.
  • Experience at leading technology companies, AI labs, research institutions, or high-growth startups.
  • Participation in competitive machine learning or data science competitions.
  • Experience optimizing models against performance-based evaluation metrics.
  • Familiarity with advanced techniques such as ensembling, hyperparameter optimization, transfer learning, foundation model fine-tuning, or reinforcement learning.
  • Publications, patents, or significant open-source contributions in machine learning or AI.
  • Experience reviewing, mentoring, or evaluating the work of other machine learning practitioners.

Application Process (Takes 20โ€“30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.