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Machine Learning Remote Internship Jobs in Oregon

Upstart

Senior Privacy Engineer

OR · On-site +1

$104K - $143K/yr

The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning ... REMOTE #LI-MidSenior --> use for L5, L6

New

HiddenLayer

AI Red Teamer

OR · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

SOSi

Senior Data Scientist

OR · On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Upstart

Senior Software Engineer, Home Lending

OR · On-site +1

$122K - $161K/yr

... and Machine Learning, Servicing, and Operations. How you'll make an impact Build and improve ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

NAVEX

Senior Product Manager, AI

Lake Oswego, OR · On-site +1

$130K/yr

Analyze data pipelines, machine learning algorithms, and automated systems. Utilize AI techniques ... Experience in leading remote or geographically dispersed AI teams * High tolerance for ambiguity ...

Kiva.org

Alumni & Ambassador: Communities Intern

OR · Remote

$15 - $20/hr

Through this volunteer internship, we're hoping to provide a high-caliber learning experience. With ... remote volunteer position . Department overview: The sponsoring department for this role is one of ...

Upstart

Credit Risk Manager

OR · On-site +1

Partner with Machine Learning, Product, Risk, and Bank leadership teams to evaluate portfolio ... Remote (United States) Time zone requirements The team operates on the East/West coast time zones.

SOSi

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Oregon

Machine Learning Remote Internship information

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

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

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Oregon? For Machine Learning Remote Internship jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Oregon look for? The top searched job categories for Machine Learning Remote Internship jobs in Oregon are:
What cities in Oregon are hiring for Machine Learning Remote Internship jobs? Cities in Oregon with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Senior Privacy Engineer

Senior Privacy Engineer

Upstart

OR • On-site, Remote

$104K - $143K/yr

Other

Posted 3 days ago

New

Job description

The Team: 

Upstart's Privacy Engineering team builds the systems, tools, and technical controls that help protect borrower, applicant, partner, and Upstarter data across our products and platforms. The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning to make privacy-by-design practical and scalable.

As a Privacy Engineer II at Upstart, you will build software and services that embed privacy controls into the core architecture of Upstart's products and technical systems. You will help implement privacy-enhancing technologies, data minimization patterns, and governance tooling that support responsible data use across Upstart's AI lending marketplace.

How you'll make an impact

  •  Design, build, and operate privacy engineering services that support user control, data governance, anonymization, pseudonymization, retention, deletion, and auditability
  • Implement privacy-by-design patterns and data minimization controls across Upstart's products, services, data pipelines, and machine learning systems
  • Build APIs, libraries, services, and developer tools that help engineering teams standardize privacy enforcement across the technology stack
  •  Partner with Security, Legal, Compliance, Product, Data, Machine Learning, and Infrastructure teams to translate privacy requirements into clear technical specifications
  •  Support privacy reviews, data flow assessments, and technical risk assessments for new products, data uses, and platform capabilities
  •  Improve the reliability, observability, and maintainability of privacy systems through testing, monitoring, documentation, and thoughtful technical design

Minimum Qualifications 

  •  Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience, and 3+ years of experience in software engineering
  • Experience building and operating production software systems using programming languages such as Python, Go, Java, Scala, C++, Rust, or similar languages
  •  Experience building APIs, microservices, libraries, or backend services that support data governance, privacy controls, security controls, or data platform capabilities
  •  Experience with at least two privacy or security domains such as anonymization, pseudonymization, data retention, deletion, data lineage, access control, encryption, audit logging, or data minimization
  • Experience translating privacy, security, compliance, or data protection requirements into software systems or technical workflows

Preferred Qualifications

  •  Knowledge of privacy-by-design principles, privacy-enhancing technologies, purpose limitation, consent, retention, deletion, and data subject rights
  • Experience with data governance systems, data catalogs, lineage tooling, personally identifiable information detection, redaction, or automated policy enforcement
  • Experience supporting privacy reviews, threat modeling, data flow mapping, or technical risk assessments for production systems
  • Experience working with machine learning systems, financial services, lending, or another regulated data environment
  • Ability to communicate privacy engineering tradeoffs clearly across technical, legal, compliance, product, and business audiences

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

#LI-REMOTE

#LI-MidSenior --> use for L5, L6

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