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Internship For Machine Learning Jobs (NOW HIRING)

S27a

$140 - $210/hr

Responsible for developing next-generation AI systems designed to simplify task automation for ... Research, design, and implement machine learning algorithms to optimize workflow automation.

New

Stackruit Ltd.

Machine Learning

San Francisco, CA · On-site

$200 - $250/hr

We value strong communication, a growth mindset, and a passion for achieving goals. The Opportunity * Be the first Machine Learning Engineer on our team, building an intelligence layer for our ...

New

Itransition Group

NY · On-site

$100 - $140/hr

We are looking for a Machine Learning Researcher to design, develop, and evaluate predictive models for financial markets. You will work at the intersection of quantitative research, machine learning ...

Strivector Corp

Machine Learning

Manhattan, NY · On-site

They are seeking a Machine Learning professional capable of tackling research problems with ... Strivector is a National Staffing and Recruiting agency that specializes in hiring for Leadership ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

  • Medical

  • Life

  • Retirement

  • PTO

This is for a future opportunity*** MANTECH seeks a motivated, career and customer-oriented Machine Learning Engineer to join our team. The Machine Learning Engineer will leverage their strong ...

Qualcomm

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

... for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of ...

Solution Design Group

Machine Learning Engineer

Minneapolis, MN · On-site

$130 - $170/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine ...

Solution Design Group

Machine Learning Engineer

Minneapolis, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine ...

Nutanix

Machine Learning Compiler

Manhattan, NY · On-site

$141 - $211/hr

... for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of ...

New

Corning

... practices for versioning, orchestration, monitoring, and CI/CD. - Troubleshoot data, model ... internship, personal, or professional projects. - Strong Python foundation and hands-on experience ...

Dow - THE DOW CHEMICAL COMPANY

Machine Learning Engineer

Houston, TX · On-site

$109K - $131K/yr

  • Medical

  • Life

  • Retirement

  • PTO

If you're looking for a challenge and meaningful role, you're in the right place. About you and this role Dow has an exciting and challenging opportunity for a Machine Learning Engineer within our ...

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Internship For Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship for machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship for machine learning 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 is an internship for machine learning?

An internship for machine learning is a temporary position offered to students or recent graduates who want to gain practical experience working with machine learning algorithms, models, and data. Interns typically work under the supervision of experienced engineers or data scientists and are involved in tasks such as data preprocessing, building and training models, and evaluating their performance. These internships provide hands-on exposure to tools, libraries, and real-world projects, helping interns develop valuable technical and problem-solving skills. Machine learning internships are commonly found in tech companies, research labs, and startups.

What types of projects and responsibilities can I expect during a machine learning internship?

As a Machine Learning intern, you'll typically work on data preprocessing, exploratory data analysis, model development, and performance evaluation under the guidance of experienced engineers or data scientists. Your daily tasks might include cleaning datasets, experimenting with different algorithms, and collaborating with team members to refine models for real-world applications. Interns often participate in regular team meetings, code reviews, and may present findings to stakeholders. This hands-on experience not only builds your technical skills but also helps you understand how machine learning solutions are integrated into business processes.

What are the key skills and qualifications needed to thrive as an intern for machine learning, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of mathematics, statistics, and programming languages such as Python, supported by coursework or a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are typically expected. Analytical thinking, curiosity, and effective communication help interns excel in collaborative, fast-paced environments. These skills enable interns to contribute meaningfully to projects, learn quickly, and adapt to evolving challenges in machine learning.

What is the difference between Internship For Machine Learning vs Data Science Intern?

AspectInternship For Machine LearningData Science Intern
Required SkillsProgramming (Python, R), ML algorithms, data preprocessingStatistics, data analysis, programming, visualization
Work EnvironmentDeveloping ML models, algorithm tuning, model deploymentData analysis, reporting, insights generation
Industry UsageTech, AI startups, research labsBusiness, finance, healthcare, tech

Internship For Machine Learning focuses on developing and deploying machine learning models, requiring skills in algorithms and programming. Data Science Internships emphasize analyzing data, generating insights, and reporting. Both roles often overlap but serve different core functions within data-driven projects.

More about Internship For Machine Learning jobs

What cities are hiring for Internship For Machine Learning jobs?

Cities with the most Internship For Machine Learning job openings:

What job categories do people searching Internship For Machine Learning jobs look for?

The top searched job categories for Internship For Machine Learning jobs are:

Internship For Machine Learning jobs near you
Infographic showing various Internship For Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer Role

OpenDataJobs

Washington, DC

Full-time

Posted 11 days ago

Job description

The work

Machine Learning Engineers make machine learning and AI models reproducible, deployable, scalable, and supportable. They build the path from training data and experimentation to a versioned model service that can be released, monitored, retrained, and retired without guesswork.

The role centers on the model lifecycle and the platform beneath it. Machine Learning Engineers automate training and validation, manage features and model artifacts, optimize inference, implement machine learning operations (MLOps), and watch for changes in data, behavior, performance, reliability, and cost. They create the shared tooling that lets data scientists and application engineers move models into production safely.

What you'll build

        Reproducible training, validation, tuning, and retraining pipelines with versioned data, code, parameters, environments, and model artifacts.

        Model-serving systems and APIs designed for appropriate latency, throughput, availability, scaling, and rollback.

        Feature pipelines, feature stores, model registries, lineage records, approval workflows, and automated release controls.

        Monitoring and alerting for data quality, drift, model performance, fairness, infrastructure health, latency, and cost.

        Reusable libraries, templates, environments, and delivery pipelines that give data scientists a tested path from experiment to production.

Who you are

You are comfortable at the seam between modeling and software engineering. You can inspect a model, harden a pipeline, diagnose a production failure, and improve the platform so the same class of problem is easier to prevent next time.

You value repeatability over heroics. You work closely with data scientists on model behavior, data engineers on reliable inputs, AI Engineers on application integration, and platform and security teams on the environment in which the model runs.

What you bring

        Strong programming and software-engineering practice, including testing, version control, packaging, automation, and production debugging.

        Working knowledge of model development, evaluation metrics, feature engineering, data splitting, tuning, and the limits of different modeling approaches.

        Experience with training and inference pipelines, containers, cloud or on-premises compute, artifact management, and automated deployment.

        Practical MLOps experience with model registries, lineage, reproducibility, monitoring, drift analysis, retraining, release controls, and rollback.

        The ability to balance model quality with reliability, interpretability, security, privacy, latency, throughput, and cost.

About OPEN Data Jobs

OPEN Data Jobs connects AI, data, and software professionals with critical roles, primarily in the federal sector. Registering with ODJ can put your profile in view for multiple positions across several clients.

Register for Machine Learning Engineer Role

Click Apply below to register for Machine Learning Engineer Role.

Requirements

What openings may require

An opening may emphasize predictive models, computer vision, natural language models, ranking, anomaly detection, recommender systems, edge inference, generative AI model operations, or an enterprise ML platform. Some openings will focus more on model development, while others will focus more on serving and platform engineering.

Specific openings may name Python, SQL, Java, model frameworks, distributed-processing tools, cloud ML services, container orchestration, graphics processing units, feature stores, model registries, experiment tracking, or infrastructure as code. OPEN Data Jobs will identify the required depth for each opening

Benefits

Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening

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