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Machine Learning Intern Remote Jobs in Oregon (NOW HIRING)

Upstart

Senior Software Engineer, Personalization & ML

OR · On-site +1

$122.40K - $161.30K/yr

You'll turn machine learning models and signals into systems that shape real borrower interactions ... Remote In-Office requirements. You will be required to work from the San Mateo, CA or Columbus ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

US-Remote or Marlton, NJ area Description A Software Engineer is needed to design, develop, and ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

Hitachi

$99.61K - $136.96K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... PRIMARY RESPONSIBILITIES * Hands-on development and write algorithms in machine learning ...

Capital One

Distinguished Engineer (Remote - Eligible)

OR · On-site +1

You will work alongside our talented team of developers, machine learning experts, product managers ... Remote (Regardless of Location): $244,700 - $279,200 for Distinguished Engineer Cambridge, MA: $269 ...

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 ...

Ascension

Data Scientist

$96.21K - $134.11K/yr

... Remote How you'll make an impact in this role * Use R/Python and SQL to develop, implement, and monitor production-ready data science and machine learning pipelines for predictive modeling.

Marmon

Human Resources Intern

OR · On-site +1

$15 - $20/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Workday is a plus This position is fully remote with some travel opportunities to Northeast ...

Marmon

Human Resources Intern

OR · On-site +1

$15 - $20/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Workday is a plus This position is fully remote with some travel opportunities to Northeast ...

Marmon

Human Resources Intern

OR · On-site +1

$15 - $20/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Workday is a plus This position is fully remote with some travel opportunities to Northeast ...

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Machine Learning Intern Remote information

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

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of algorithms. Salaries for ML positions can vary based on experience, location, and company, but they tend to be above average compared to many other entry-level roles in technology. Internships in ML may offer lower pay, but full-time positions often provide competitive compensation and benefits.
What are popular job titles related to Machine Learning Intern Remote jobs in Oregon? For Machine Learning Intern Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Intern Remote jobs in Oregon look for? The top searched job categories for Machine Learning Intern Remote jobs in Oregon are:
What cities in Oregon are hiring for Machine Learning Intern Remote jobs? Cities in Oregon with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you
Senior Software Engineer, Personalization & ML

Senior Software Engineer, Personalization & ML

Upstart

On-site, Remote

$122.40K - $161.30K/yr

Other

Posted 29 days ago

Job description

The Team: 

Our Servicing Engineering teams are building intelligent systems that personalize borrower experiences using machine learning. Today, most borrowers are treated the same, regardless of their financial situation. We're changing that.

As a Senior Software Engineer in this role, you'll redefine how servicing decisions are made. You'll turn machine learning models and signals into systems that shape real borrower interactions, including who we reach, how we engage, and which strategies we apply.

You'll evolve and scale our decisioning and experimentation systems to support faster iteration and more reliable measurement of strategy performance against borrower and business outcomes. Reporting to a Senior Engineering Manager, you'll partner closely with Product and Machine Learning teams to run experiments, productionize model outputs, and build feedback loops that connect real-world outcomes back to model and strategy improvements.

How you'll make an impact

  • Improve how Servicing decisions are made by embedding machine learning models into product and operational workflows.
  • Enable faster learning and safer iteration by advancing our experimentation platform and improving how we evaluate strategy performance.
  • Increase the effectiveness of personalization strategies by designing and running controlled experiments that translate into measurable improvements.
  • Scale model-driven decisioning through resilient feature pipelines and real-time data integrations.
  • Define clear metrics and guardrails to ensure ML-powered systems remain measurable, explainable, and compliant as they shape more Servicing decisions.

Minimum Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 4 years of experience
  • Experience owning delivery of ML-powered features from design through production deployment and measurement.
  • Hands on experience designing or contributing to experimentation systems, including running controlled experiments in live environments.
  • Experience building and maintaining data processing systems or pipelines that support model-driven decisioning.

Preferred Qualifications

  • Experience with building or scaling ML-powered ranking, personalization, or recommendation systems in production environments.
  • Applied advanced experimentation methods beyond standard A/B testing.
  • Demonstrated incorporation of fairness, explainability, or governance considerations into ML-powered decision systems.
  • Led technical design decisions for distributed systems supporting ML-driven workflows.

Position location This role is available in the following locations: Remote 

In-Office requirements.  You will be required to work from the San Mateo, CA or Columbus, Ohio headquarters one week per quarter.  

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.

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