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Machine Learning Intern Remote Jobs in Everett, WA

Phaidra

Expression of Interest - Engineering

Seattle, WA · Remote

$19 - $24.75/hr

We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data ... We are a 100% remote company. * Competitive compensation & meaningful equity. * Outsized ...

iSpot

Manager, Client Data Science

Bellevue, WA · Remote

$136K - $168K/yr

... machine learning and statistical skills to inform data-driven decisions. ● Collecting ... remote employee. A hybrid work schedule indicates that you work in the office some days and work ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

Seattle (Remote, some travel required) We are seeking a highly technical, client-facing AI & Data ... Applied AI & Machine Learning: Strong architectural experience designing AI/ML solutions, vector ...

DocuSign

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

This position is an individual contributor role reporting to the Director, Machine Learning ... Employee divides their time between in-office and remote work. Access to an office location is ...

CoreWeave

HPC Performance Engineer

Seattle, WA · On-site +1

$165K - $242K/yr

Ability to effectively prioritize and communicate proposed features and fixes in a remote-employee ... Experience with machine learning is a huge bonus Wondering if you're a good fit? We believe in ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Everett, WA

Machine Learning Intern Remote information

See Everett, WA salary details

$28.2K

$47K

$97.2K

How much do machine learning intern remote jobs pay per year?

As of Jul 18, 2026, the average yearly pay for machine learning intern remote in Everett, WA is $47,041.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,900.00 and $50,800.00 per year, depending on experience, location, and employer.

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.
What job categories do people searching Machine Learning Intern Remote jobs in Everett, WA look for? The top searched job categories for Machine Learning Intern Remote jobs in Everett, WA are:
What cities near Everett, WA are hiring for Machine Learning Intern Remote jobs? Cities near Everett, WA with the most Machine Learning Intern Remote job openings:
Machine Learning Intern Remote jobs near you
Manager of Data Science

Manager of Data Science

Providence Digital Innovation Group

Seattle, WA • Remote

Other

Re-posted 14 days ago

Job description

This is a remote role.  We would prefer that the successful candidate located in the Seattle area within the PST/MST time zones.

Providence is one of the largest not-for-profit health systems in the United States.

At Providence, we use our voice to advocate for vulnerable populations and health care reforms. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future, today.

The Digital Innovation Group (DIG) at Providence is a small but mighty product development and incubation team.  We build next-gen tools that give patients convenient and easy access to health care anywhere, anytime.

DIG is both a healthcare startup and a technology/product incubator. Our team gathers market data on effective solutions in the health care space and then builds out a product line with the latest and greatest technology. When market maturity hits, DIG enables the product to spin out as its own company. It is a unique mix of venture capitalists, digital strategists, marketing acumen, product development and engineering all in one group nestled inside one of the largest health systems. We set the pace for other health care organizations around the country on how to conceive, engineer and launch effective health care solutions.

Recently funded DIG startups include DexCare and Praia Health. 

Success in this role means you can join future funded startups on the ground floor. 

Job Summary:
 
Are you an experienced Data Scientist who wants to lead a new analytics program focused on helping patients effectively navigate their care through a seamless digital experience? 
 
As a Data Science Manager, you will lead a team of data scientists in helping the Digital Innovation Group understand the patient's digital journey and how our products are impacting their health outcomes and the performance of our healthcare system.  
We need a talented data science leader to apply rigorous hypothesis testing, statistical modeling, machine learning, predictive analytics and working with LLMs to inform the acquisition, personalization and retention strategies for our products. Your team will be responsible for building churn, retention and LTV models for our Providence App as well as developing the next best action recommendation model personalizing content by patient cohorts. Your team's work will contribute directly to the success of growing, maintaining and improving health outcomes of our patients utilizing digital products developed by DIG. 
You will be expected to work with analytics and product leaders to understand their top priorities to set the strategic direction of your data science projects. You will be a player/coach on the team, helping define the team's roadmap, ways of working (process management) and provide technical guidance and oversight.  
The Data Science Manager will play a critical role in leading the data driven approach to incubation and commercialization of our product portfolio helping Providence innovate in healthcare technology affecting millions of patients' health outcomes.  
 
Required Qualifications:
  • Bachelor's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • 6 years of experience in data analysis, advanced statistical analysis, predictive analytics, with hands on experience in data mining, machine learning and predictive modeling. 
  • 4 years Leadership experience.
Preferred Qualifications:
  • Master's Degree Data Science, Computer Science, Statistics, Economics, Mathematics Or equivalent educ/experience
  • Coursework/Training Data science or project management     
  • 1 year Experience in the Healthcare field.
  • 1 year Experience in project management.
  • Certifications in data science, project management or related fields (e.g., Certified Analytics Professional (CAP), Certified Data Management Professional (CDMP), or specific vendor certifications like Microsoft Certified: Azure Data Scientist Associate.) 

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