ZipRecruiter

Log In

1

Internship Machine Learning Engineer New Grad Jobs in Tacoma, WA

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Robinhood

Machine Learning Engineer

Bellevue, WA

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... We perform applied research development to adapt state-of-the-art methods or implement new methods ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... new technologies at all levels of the machine learning stack, and who move fast and take ownership ...

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... new technologies at all levels of the machine learning stack, and who move fast and take ownership ...

Unitytech

Machine Learning Engineer

Bellevue, WA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... new parents through leave and family-care programs | Office food snacks | Mental Health and ...

next page

Showing results 1-20

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 24, 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 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.

Machine Learning Engineer

Constellation Space

Seattle, WA • On-site

$120K - $180K/yr

Full-time

Re-posted 24 days ago

Job description

The Role

We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that directly impact Constellation’s orbital systems and ground operations.

Responsibilities

  • Deploy, monitor, and maintain ML models in production environments.

  • Build robust MLOps pipelines for continuous training and integration of models using telemetry data.

  • Optimize algorithms for low-latency inference on edge devices (spacecraft hardware).

  • Collaborate with data scientists and flight software engineers to integrate AI capabilities into core flight systems.

Requirements

  • B.S. or M.S. in Computer Science, Engineering, or equivalent experience.

  • Proven experience deploying machine learning models into production.

  • Strong software engineering skills in Python and C++.

  • Experience with cloud platforms, containerization (Docker), and MLOps tools.

Compensation Range: $120K - $180K