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Machine Learning Software Engineer Intern Jobs (NOW HIRING)

Bedgear

Software Engineer Intern

Rock Hill, SC

$25 - $30/hr

Software Engineer Intern ID: 100401 Department: Development Location: Rock Hill, SC Description Job ... Knowledge of signal processing, data science, and machine learning * Prior work experience in ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Centerfield

Software Engineer Intern

Los Angeles, CA · On-site

As a Software Engineering intern at Centerfield, you'll work directly with our Engineering team ... Collaborate with engineering, data engineering, and data science teams to support machine learning ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$165K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site

$114K - $156K/yr

Machine Learning Software Engineers who bridge the gap between research and production by delivering machine learning models into real-world product experiences at scale About the Role: We are ...

Ascend Learning

Software Engineer Intern

Leawood, KS · On-site

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... WHAT YOU'LL DO The Intern Software Engineer will have responsibility for developing, testing ...

Breaking Ground

Software Engineer, Intern

Manhattan, NY · On-site

$54K/yr

Reporting to the Assistant Director, Software Engineering the Software Engineer Intern builds tools to enhance the work of Breaking Ground. The Intern works closely with departments across the ...

Nirmata

AI Software Engineer Intern

San Jose, CA · On-site +1

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Focus on machine learning and data science. * AI Agents * MCP Servers * Familiarity with Large ...

Moffitt Cancer Center

Research Software Engineer

Tampa, FL · On-site

$193K/yr

The Research Software Engineer will develop software tools for machine learning applications in cancer research, collaborating with a multidisciplinary team to support various research projects.

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Machine Learning Software Engineer Intern information

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How much do machine learning software engineer intern jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for machine learning software engineer intern in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

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

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.
What cities are hiring for Machine Learning Software Engineer Intern jobs? Cities with the most Machine Learning Software Engineer Intern job openings:
What are the most commonly searched types of Machine Learning Software Engineer jobs? The most popular types of Machine Learning Software Engineer jobs are:
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Machine Learning Software Engineer Intern jobs near you

Senior Machine Learning Engineer - up to $200k + equity

ingenium.agency

Manhattan, NY

$200K/yr

Full-time

Medical, Retirement, PTO

Re-posted 28 days ago

Job description

Senior Machine Learning Engineer - up to $200k base + equity

We accelerate the deployment of climate tech solutions by providing clients with industry leading insights, data, analytics, and research on both technologies and markets. Our subscription intelligence platform gives investors, corporates, and governments the insights they need to anticipate developments and to confidently build and finance the new climate economy. We produce the industry-leading newsletter read by 60,000 climate leaders.



We are looking for a Senior Machine Learning Software Engineer to join our engineering team. As a Senior ML Software Engineer, you will design, develop and implement software solutions across our machine learning and data stack, and play a crucial role in delivering insights into the new climate economy to investors, corporates, and governments mobilizing strategies in the climate transition. Our ideal candidate has a strong technical background and a willingness to “wear many hats”, learn new skills, and take the initiative to develop new features as needs arise.


The Role

  • Collection — Implement web scraping and other collection techniques to increase the speed, efficiency, and breadth of data collection.
  • Processing — Implement AI, natural language processing, and machine learning models to extract, classify, and transform data.
  • Infrastructure — Assist in developing and maintaining our internal data server and web interface. This will include developing new features for data entry and validation of AI-generated data.
  • Analysis — Analyze the performance of the machine learning and data stack to identify opportunities to improve coverage and accuracy.


The Essentials

  • 5+ years experience as a Software Engineer, Machine Learning Engineer, Data Engineer or equivalent
  • Deep expertise in Python development
  • Experience in machine learning / natural language processing
  • Proven history developing and maintaining production-grade software
  • A passion for addressing the climate crisis through high quality research and data
  • Interest in working for a fast-moving startup with a small, international team
  • A BSc degree in Computer Science, Engineering or other relevant field


A Plus

  • Experience using Django and AWS
  • A successful history of manipulating, processing and extracting value from datasets
  • Experience working with Jira / Agile framework
  • Experience using Bitbucket Pipelines
  • Working understanding of climate tech sectors


Our Offer


  • Opportunity to work and learn at a fast-growing climate tech startup
  • Hybrid office based in New York
  • Generous base salary + stock options
  • Flexible working hours
  • 20 days PTO + federal holidays
  • Health coverage and 401(k)