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Internship Machine Learning Engineer New Grad Jobs in Tacoma, WA

Remitly

Staff Machine Learning Engineer

Seattle, WA · On-site

$208K - $260K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

  • Medical

  • Dental

  • Vision

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions ... Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to ...

Chewy

Machine Learning Engineer III

Bellevue, WA · On-site

$148K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Chewy Sponsored Ads team is looking for a Senior Machine Learning Engineer in Bellevue, WA to ... Lead new models from ideation to experimentation, and eventually to production delivery to build ...

PitchBook Data

Sr. Machine Learning Engineer

Seattle, WA · On-site

$118K - $163K/yr

  • Medical

  • Life

  • Retirement

Participate in the technical evaluation of candidates and help onboard new team members by ... machine learning engineering, with a strong focus on AI/ML applications in insight generation ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$142K - $263K/yr

  • Medical

  • Dental

  • Retirement

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ...

Truveta

Machine Learning Engineer - LLMs & Generative AI

Seattle, WA · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and ... We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta ...

Adobe

Senior Machine Learning Engineer

Seattle, WA · On-site

$172K - $306K/yr

What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will ... Experience working with both research and product teams to ensure seamless integration of new ...

Truveta

Machine Learning Engineer - LLMs & Generative AI

Seattle, WA · On-site +1

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking enthusiastic new graduates who are problem-solvers, collaborative teammates, and ... We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Working closely with other ML engineers and scientists, you will enable new AI capabilities for ... Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Working closely with other ML engineers and scientists, you will enable new AI capabilities for ... Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ...

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Showing results 41-60

All JobsMachine Learning Engineer New Grad JobsInternship Machine Learning Engineer New Grad JobsInternship Machine Learning Engineer New Grad Jobs in Tacoma, WA

Internship Machine Learning Engineer New Grad information

See Tacoma, WA salary details

$27.4K

$45.7K

$94.5K

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

As of Aug 17, 2026, the average yearly pay for internship machine learning engineer new grad in Tacoma, WA is $45,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 per year, depending on experience, location, and employer.

What does an internship machine learning engineer new grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do machine learning engineer interns typically work on?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are popular job titles related to Internship Machine Learning Engineer New Grad jobs in Tacoma, WA?

For Internship Machine Learning Engineer New Grad jobs in Tacoma, WA, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Engineer New Grad jobs in Tacoma, WA look for?

The top searched job categories for Internship Machine Learning Engineer New Grad jobs in Tacoma, WA are:

Internship Machine Learning Engineer New Grad jobs near you
Infographic showing various Internship Machine Learning Engineer New Grad job openings in Tacoma, WA as of June 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $45,732 per year, or $22 per hour.

Staff Machine Learning Engineer

Remitly

Seattle, WA • On-site

$208K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

Job Description:

At Remitly, we are on a mission to transform lives by providing trusted financial services that transcend borders. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.

About the Role:

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning systems, frameworks, and services that power Remitly's next generation of products and operations. We work horizontally across domains at Remitly-Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, etc.

We are looking for an experienced Machine Learning Engineer to build large scale systems that propel our next phase of growth.

You Will:

  • Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model deployment.
  • Design, build, and scale feature pipelines for batch and real-time ML applications.
  • Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems.
  • Optimize models and pipelines using MLOps best practices: automated retraining, drift detection, CI/CD, monitoring, observability.
  • Mentor and lead other engineers: champion design reviews, technical discussions, and maintain a high bar for code quality.
  • Drive technical strategy and influence ML architecture decisions across the organization.

You Have:

  • Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
  • 10+ years delivering Machine Learning systems in production.
  • Strong programming skills in Python, Go, Scala or a similar language.
  • Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, numpy).
  • Experience working with major cloud platforms (AWS, GCP, or Azure).
  • Experience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.
  • Experience with transformer architectures, pretraining, post-training, and fine-tuning of LLMs would be strongly preferred.
  • Demonstrated experience leading cross-functional ML initiatives and mentoring senior engineers.

Compensation Details. The starting base salary range for this position is typically $208,000-$260,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits:

  • Flexible paid time off
  • Health, dental, and vision + 401k plan with company matching
  • Paid parental, medical, military and family care leave
  • Mental Health & Family Forming Benefits
  • Employee Stock Purchase Plan (ESPP)
  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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