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Internship Machine Learning Engineer Jobs in Remote, OR

Anytime AI

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Machine Learning Engineer

OR · Remote

$100K - $200K/yr

Position Overview As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires ...

SOSi

Senior Data Scientist

Myrtle Point, OR

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

SOSi

Senior Data Scientist

OR

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

SOSi

Senior Data Scientist

OR · On-site +1

Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional ...

Bausch + Lomb

AI Agent ML Engineer

Myrtle Point, OR · On-site +1

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

Bausch+Lomb Companies Inc.

AI Agent ML Engineer

OR

$165K - $190K/yr

The AI Agent & ML Engineer will design, build, and optimize intelligent agents powered by advanced machine learning models, enabling process automation and decision support across Bausch + Lomb ...

Mirantis

Technical Support Engineer

OR · On-site +1

... for modern AI, machine learning, and data-intensive applications. By combining open source ... valued; - Internship provides you with the opportunity to combine work and education ...

Mirantis

Technical Support Engineer

OR · On-site

... for modern AI, machine learning, and data-intensive applications. By combining open source ... valued; - Internship provides you with the opportunity to combine work and education ...

Lumen Technologies

Sr Lead Software Engineer

OR · On-site +1

Stay up to date with the latest advancements in AI and machine learning and apply this knowledge to ... Mentor junior engineers, share knowledge, and contribute to establishing best practices for ...

Mirantis

Openstack Technical Support Engineer

OR · On-site

... machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver ...

Mirantis

Openstack Technical Support Engineer

OR · On-site +1

... machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver ...

SOSi

Data Scientist

Myrtle Point, OR

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

SOSi

Data Scientist

OR

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

SOSi

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing.

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Remote, OR

Internship Machine Learning Engineer information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

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

As of May 30, 2026, the average yearly pay for internship machine learning engineer 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 an Internship Machine Learning Engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

What types of projects and responsibilities can I expect as an Internship Machine Learning Engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What does an Internship Machine Learning Engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What is the difference between Internship Machine Learning Engineer vs Data Scientist Intern?

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What are the most commonly searched types of Machine Learning Engineer jobs in Remote, OR? The most popular types of Machine Learning Engineer jobs in Remote, OR are:
Internship Machine Learning Engineer jobs near you
Infographic showing various Internship Machine Learning Engineer job openings in Remote, OR as of May 2026, with employment types broken down into 81% Full Time, 10% Part Time, 7% Contract, and 2% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $42,542 per year, or $20.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Anytime AI

Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 28 days ago

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After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As a Machine Learning Engineer, you will be instrumental in crafting and refining sophisticated Machine Learning algorithms that drive our legal tech solutions. This role requires robust expertise in machine learning R&D, particularly involving NLP (Natural Language Processing) and Large Language Models, to improve information extraction, information retrieval and search, document analysis and summarization, and generation.

Responsibilities

  • Design, develop, and deploy advanced AI algorithms to boost the functionality and efficacy of our legal AI applications.
  • Work closely with product teams to integrate AI technologies into solutions centered around user needs.
  • Enhance and streamline machine learning pipelines for superior performance and scalability.
  • Conduct thorough testing and validation to maintain the accuracy and reliability of algorithms.

Requirements

  • M.S. or higher in Computer Science, Machine Learning, AI, or related fields.
  • 3+ years of experience in Machine Learning R&D.
  • Proficiency in Machine Learning and NLP techniques and tools.
  • Demonstrated experience in developing real-world AI solutions or contributing to open-source applications using NLP.
  • Strong software development capabilities.
  • Strong analytical and problem-solving skills, adept at identifying and addressing bottlenecks for optimal performance under varying loads.

Preferred Skills

  • Extensive experience in building and managing production-level machine learning systems.
  • Expertise in prompt engineering and RAG (Retrieval-Augmented Generation) technologies.
  • Experience in developing search and retrieval algorithms.
  • Experience in training Large Language Models.
  • Web development experience or willingness to acquire the necessary skills to contribute to our web-based product offerings.
  • Excellent verbal and written communication skills, capable of articulating complex technical concepts to cross-functional teams and translating legal workflows described by these teams into technical solutions.

This Might Be for You If...

  • You thrive on proactivity and have a “get things done” mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for crafting innovative AI solutions that deeply engage users and meet critical needs.
  • AI/ML fascinates you, and while hands-on experience isn’t mandatory, an eagerness to delve into these fields is essential.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive product innovation.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary, including potential equities. Base+ Bonus+ Employee Stock Option Plan.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team and gain multi-domain (Marketing, Business Intelligence, Product Management, Project Management, Generative AI, Gen AI for law) knowledge in one place.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If you’re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai