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Machine Learning Software Engineer Jobs in Seattle, WA

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Collaborate with data scientists and flight software engineers to integrate AI capabilities into ... Proven experience deploying machine learning models into production. * Strong software engineering ...

Meta

Software Engineer, Machine Learning

Bellevue, WA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Meta

Software Engineer, Machine Learning

Seattle, WA

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

Apple

Machine Learning Engineer

Seattle, WA

$175K - $308K/yr

... Machine Learning Engineer with experience developing ML models for computer vision and graphics ... Minimum Qualifications Software engineering skills and proficiency in Python Experience with ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

If you also have knowledge of data science and software engineering, we'd like to meet you. Your ... Design machine learning systems * Research and implement appropriate ML algorithms and tools

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

If you also have knowledge of data science and software engineering, we'd like to meet you. Your ... Design machine learning systems * Research and implement appropriate ML algorithms and tools

Overland AI

Software Engineer, Machine Learning

Seattle, WA · On-site

$120K - $300K/yr

The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive ...

Amazon

Machine Learning Engineer

Seattle, WA · On-site

Key job responsibilities As a Software Development Engineer in Machine Learning, you will: - Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and ...

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All JobsMachine Learning Software Engineer JobsMachine Learning Software Engineer Jobs in Seattle, WA

Machine Learning Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do machine learning software engineer jobs pay per year?

As of Jul 22, 2026, the average yearly pay for machine learning software engineer in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are popular job titles related to Machine Learning Software Engineer jobs in Seattle, WA? For Machine Learning Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Seattle, WA look for? The top searched job categories for Machine Learning Software Engineer jobs in Seattle, WA are:
Machine Learning Software Engineer jobs near you
Infographic showing various Machine Learning Software Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $167,886 per year, or $80.7 per hour.

Machine Learning Engineer

Constellation Space

Seattle, WA • On-site

$120K - $180K/yr

Full-time

Posted 21 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