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Machine Learning Engineer New Grad Jobs in Tacoma, WA

Machine Learning Engineer

Seattle, WA ยท 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 ...

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 ...

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 ...

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 ...

... 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 ...

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 ...

Machine Learning Engineer

Seattle, WA ยท 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 ...

Machine Learning Engineer

Seattle, WA ยท 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 ...

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Machine Learning Engineer New Grad information

See Tacoma, WA salary details

$33.8K

$138.3K

$207.8K

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

As of Aug 29, 2026, the average yearly pay for machine learning engineer new grad in Tacoma, WA is $138,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Tacoma, WA?

The most popular types of Machine Learning Engineer New Grad jobs in Tacoma, WA are:

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

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

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

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

What cities near Tacoma, WA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Tacoma, WA with the most Machine Learning Engineer New Grad job openings:

Infographic showing various Machine Learning Engineer New Grad job openings in Tacoma, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $138,288 per year, or $66.5 per hour.

Machine Learning Engineer

Constellation Space

Seattle, WA โ€ข On-site

$120K - $180K/yr

Full-time

Re-posted 29 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