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Machine Learning Engineer Intern Jobs (NOW HIRING)

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative Machine ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

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Machine Learning Engineer Intern information

See salary details

$25.5K

$42.6K

$88K

How much do machine learning engineer intern jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning engineer 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 types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

More about Machine Learning Engineer Intern jobs
What cities are hiring for Machine Learning Engineer Intern jobs? Cities with the most Machine Learning Engineer Intern job openings:
What are the most commonly searched types of Machine Learning Engineer jobs? The most popular types of Machine Learning Engineer jobs are:
What states have the most Machine Learning Engineer Intern jobs? States with the most job openings for Machine Learning Engineer Intern jobs include:
Infographic showing various Machine Learning Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Engineer

Full-time

Re-posted 14 days ago


Job description

Machine Learning Engineer
We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity to shape and create our machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.
Responsibilities:
  • Design, develop, and implement machine learning models and algorithms
  • Analyze large datasets and extract meaningful insights
  • Collaborate with cross-functional teams to integrate ML solutions into existing systems
  • Optimize ML models for performance and scalability
  • Stay current with the latest advancements in machine learning and AI
  • Create and implement big data processing pipelines and architectures
  • Design and build scalable data infrastructure to support ML applications
Requirements:
  • US Citizen
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3+ years of experience in machine learning or AI development
  • Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)
  • Solid understanding of machine learning algorithms and statistical modeling
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
  • Proven ability to create and implement big data solutions from scratch
  • Comfortable setting up and managing distributed computing environments
  • Experience in designing and implementing data pipelines for large-scale data processing
  • Proficient in working with various database systems, both SQL and NoSQL, depending on the use case
  • Strong skills in data modeling and database design for machine learning applications
  • Excellent problem-solving and analytical skills
  • Strong communication skills and ability to work in a team environment
Preferred Qualifications:
  • Experience in creating and managing real-time data streaming architectures
  • AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty
  • Experience with AWS machine learning services
  • Proficiency in using AWS big data services
  • Knowledge of serverless architectures on AWS (e.g., Lambda)
  • Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)
  • Understanding of AWS security best practices for machine learning and data processing workflows

What you'll do day-to-day:
  • Be a member of a world-class team focused on inventing solutions that have the ability to impact the world
  • Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base
  • Help build a beautiful, intuitive product that revolutionizes the nonprofit industry
  • Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles

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About Givzey

Sourced by ZipRecruiter

Industry

Administrative assistance services

Company size

1 - 10 Employees

Headquarters location

Boston, MA, US

Year founded

2021