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Machine Learning Intern Remote Jobs in Everett, WA

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

You will build and guide a high-performing team of data scientists and machine learning engineers ... Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

You will build and guide a high-performing team of data scientists and machine learning engineers ... Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West ...

CUJO AI

Director Platform Product Owner

Seattle, WA · On-site +1

We use machine learning and real-world data to develop cybersecurity, device intelligence , network ... This position is fully remote. We are hiring across the US, UK, and Canada. In This Role, You Will:

Wsgr

Innovations and AI Solutions Engineer

Seattle, WA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

IT America Inc

Graph Database Architect

Bellevue, WA · Remote

$65.25 - $84/hr

Remote Duration: Long term contract About the Role: We are seeking an experienced Graph Database ... Knowledge of machine learning or AI applications leveraging graph databases. * Experience in ...

Intelliswift Software

Senior Java Developer- Remote

Seattle, WA · On-site +1

$65.25 - $83/hr

... machine learning, and operational metrics analysis. • Lead technical projects and mentor junior members in the development team. Qualifications • Proficiency with both relational and NoSQL data ...

Onramp Lab

Developer

Seattle, WA · Remote

Ability to work effectively in a remote team environment * Good communication skills to collaborate with cross-functional teams * Experience with AI or machine learning technologies is a plus ...

Onramp Lab

Developer

Seattle, WA · On-site +1

Ability to work effectively in a remote team environment * Good communication skills to collaborate with cross-functional teams * Experience with AI or machine learning technologies is a plus ...

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Machine Learning Intern Remote information

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$28.2K

$47K

$97.2K

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

As of Jul 17, 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
Principal Technical Program Manager , Annapurna ML

Principal Technical Program Manager , Annapurna ML

Amazon

Seattle, WA • On-site, Remote

$146K - $190K/yr

Full-time

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Annapurna Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 an Trn1n families of Machine Learning Accelerated EC2 instances. We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services.
We're seeking a Principal Program Manager for the Annapurna ML, Neuron team

In this role you will be owning the capacity request lifecycle from intake through approval and delivery, coordinating across EC2, finance, and internal engineering stakeholders to secure and allocate Trainium instances. Establish and maintain dashboards, utilization metrics, and recurring review mechanisms to proactively identify gaps and drive resolution. You will be responsible for scoping and delivering large projects end-to-end.

Responsibilities include collection of business and systems requirements from internal and external customers, writing specifications, driving project schedules from design to release, and managing the production launch. You will lead and coordinate design/implementation efforts between Neuron, internal teams and external customers and partners to develop optimal solutions for new features, verticals, and markets. You will be expected to make appropriate tradeoffs to optimize time-to-market, clearly communicate goals, roles, responsibilities, and desired outcomes to internal cross-functional and remote project teams.


The right candidate will possess a strong technical and program management background, will have demonstrated experience leading medium to large projects, and will have a well-rounded technical background in current machine learning technologies as well as products spanning multiple technical domains from higher performance networking/compute and drivers to compilers and software development programs . You must be able to thrive and succeed in an entrepreneurial environment, and not be hindered by ambiguity or competing priorities. This means you are not only able to develop and drive high-level strategic initiatives, but can also roll up your sleeves, dig in and get the job done.


As a Principal TPM, you will anticipate bottlenecks, provide escalation management, anticipate and make trade-offs, and balance the business needs versus technical constraints. An ability to take large, complex projects and break them down into manageable pieces, develop functional specifications, then deliver them in a timely manner.
In this role you will:
Drive execution of projects
Provide technical direction with limited assistance
Lead cross functional project meetings
Lead milestone reviews
Present project status to the executive team
Manage project builds globally
Key job responsibilities
Work with Engineering leadership, Product Management, and Business Development to help define requirements and roadmaps, work with Engineering leadership to drive efficiencies in engineering development and ensure the right things are delivered to Customers at the right time. We work like a startup - moving fast and building new things.
About the team
Annapurna ML Neuron is the team that delivers the software that powers the Inferentia and Trainium-based Inf1, Inf2, Trn1 and Trn2 families of Machine Learning Accelerated EC2 instances

We build a Compiler , Drivers, Runtime and a fully integrated suite of Pytorch and Tensorflow stacks, providing the highest-scale, distributed Training and Inference servers available. We deliver the solutions powering many of Amazon and Amazon customers largest Machine Learning services.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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