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Machine Learning Intern Jobs in Remote, OR (NOW HIRING)

Syniti

Intern

OR · On-site

$14 - $18.75/hr

The Legal Intern will assist with a wide range of activities including legal operations, compliance ... At Syniti you will find a supportive environment and access to learning tools, but micromanagement ...

All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Remote, OR

Machine Learning Intern information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

How much do machine learning intern jobs pay per year?

As of Jul 5, 2026, the average yearly pay for machine learning intern in Remote, OR is $42,542.00, 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 the key skills and qualifications needed to thrive as a Machine Learning Intern, and why are they important?

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What are the most commonly searched types of Machine Learning jobs in Remote, OR? The most popular types of Machine Learning jobs in Remote, OR are:
What job categories do people searching Machine Learning Intern jobs in Remote, OR look for? The top searched job categories for Machine Learning Intern jobs in Remote, OR are:
What cities near Remote, OR are hiring for Machine Learning Intern jobs? Cities near Remote, OR with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Intern

Intern

Syniti

OR • On-site

$14 - $18.75/hr

Other

Posted 5 days ago

Job description

ABOUT US

Syniti, part of Capgemini, tackles the hardest work in data for the world's largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti's Data First strategy transforms data from an afterthought into a strategic asset-unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti's award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. 

About the Role

Syniti is seeking a highly motivated Legal Intern to support our Legal & Compliance team. This internship offers hands-on experience in a fast-paced technology environment, with exposure to legal matters related to data management, SaaS solutions, privacy, and corporate operations.

The Legal Intern will assist with a wide range of activities including legal operations, compliance initiatives, legal research, contracts and corporate document drafting and review.

Key Responsibilities

Support day-to-day legal operations, including scheduling, document preparation, and coordination of internal and external requests
Interacting with external law firms, assisting with tracking invoices, summarizing billing information, and coordinating with internal finance teams and outside vendors
Conduct legal research on topics such as data privacy (GDPR, CCPA), data governance, intellectual property, Artificial Intelligence and technology law
Assist in drafting, reviewing, and revising corporate documents and contracts.
Support compliance efforts related to data protection, information security, and regulatory requirements
Review and summarize legal documents, case law, and regulations affecting Syniti's business
Assist in maintaining and updating internal legal templates, policies, and procedures
Assist with corporate governance and other administrative legal tasks as needed

Qualifications & Requirements

Currently enrolled in an accredited law school or legal education program
Strong interest in AI, technology law, data privacy, or corporate law
Excellent legal research, writing, and analytical skills
Strong attention to detail and ability to work in a fast-paced, detail-oriented environment
Ability to handle confidential and sensitive information with discretion
Proficiency in Microsoft Office, Excell and familiarity with legal research platforms (Westlaw, LexisNexis)
Comfort working with multiple systems and tools (e.g., document management systems, AI tools, collaboration tools, expense/reporting platforms)
Strong communication and collaboration skills
Strong organizational skills with the ability to manage multiple workstreams and prioritize effectively

Preferred Qualifications

Coursework or experience in data privacy, information security, or intellectual property law
Familiarity with Artificial Intelligence and data protection regulations (e.g., GDPR, CCPA)
Interest in enterprise software, SaaS, or data-driven businesses

Prior internship experience in a legal department or law firm

WHAT WE OFFER

  • Trust in your talent. At Syniti you will find a supportive environment and access to learning tools, but micromanagement is not our style.
  • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly you will have the chance to shape our journey and share in our success story.
  • Support. We all rely on each other and enable each other to be successful. You won't stand alone.
  • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating with each depicting a different journey and we want to hear them all.
  • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them.
  • An open organisation. Titles don't define access at Syniti. We stay humble regardless of where we sit in the organisation. We want to hear every voice, listen to all the ideas and make sure everyone's work is seen and valued.

Our Commitment to Inclusion

At Syniti, we're committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger - and we value the unique backgrounds, experiences, and voices each person brings to our team. 

We welcome applicants based on their skills and potential, and we're dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know - we're here to support you. 

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