How much does a Machine Learning Engineer make in Washington? The average Machine Learning Engineer salary in Washington is $113,603 as of March 26, 2024, but the range typically falls between $103,842 and $123,964. Salary ranges can vary widely depending on the city and many other important factors, including education, certifications, additional skills, the number of years you have spent in your profession.

Based on HR-reported data: a national average with a geographic differential
Machine Learning Engineer Salaries by Percentile
Percentile Salary Location Last Updated
10th Percentile Machine Learning Engineer Salary $94,955 WA March 26, 2024
25th Percentile Machine Learning Engineer Salary $103,842 WA March 26, 2024
50th Percentile Machine Learning Engineer Salary $113,603 WA March 26, 2024
75th Percentile Machine Learning Engineer Salary $123,964 WA March 26, 2024
90th Percentile Machine Learning Engineer Salary $133,397 WA March 26, 2024
25% $103,842 10% $94,955 90% $133,397 75% $123,964 $113,603 50%(Median) Didn’t find job title? Click
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What is a Machine Learning Engineer ?

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to effectively perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model of sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.:2 Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where...

Source: Wikipedia (as of 04/25/2019). Read more from Wikipedia

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Location Avg. Salary Date Updated
Location Aberdeen, WA Avg. Salary $109,809 Date Updated March 26, 2024
Location Acme, WA Avg. Salary $108,123 Date Updated March 26, 2024
Location Addy, WA Avg. Salary $106,647 Date Updated March 26, 2024
Location Adna, WA Avg. Salary $109,809 Date Updated March 26, 2024
Location Airway Heights, WA Avg. Salary $107,490 Date Updated March 26, 2024
Location Albion, WA Avg. Salary $106,647 Date Updated March 26, 2024
Location Allyn, WA Avg. Salary $113,708 Date Updated March 26, 2024
Location Almira, WA Avg. Salary $106,647 Date Updated March 26, 2024
Location Amanda Park, WA Avg. Salary $109,809 Date Updated March 26, 2024
Location Amboy, WA Avg. Salary $108,755 Date Updated March 26, 2024
Job Openings for Machine Learning Engineer in Washington
Ascendion - Irving , TX
About Ascendion Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world’s leading brands Solve complex problems - and learn new skill Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovat
- Today
Imagry | Autonomous Driving - San Jose , CA
Imagry is seeking an experienced Machine\Deep Learning Engineer 4-5 years of experience in the Industry. On-Site in San Jose California! The engineer will work on devising, developing, and integrating novel deep vision-based algorithms at the heart of our autonomous driving system. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities: Designing, training, and optimizing novel computer vision algorithms. Taking an End-to End responsibility over medium to long-term projects Seeing projects through from research to deployment Devising and implementing performance metrics Supervising complex data pipelines, from the collection stage, through annotation, to training models Communicating, presenting and visualizing results Aligning the algorithms with the product needs
- Today
100% Remote position Our client, a Global Giant in Video Game Publishing and Distribution, is looking to engage a Senior ML Engineer (MLOps) with demonstrated professional experience operationalizing ML models built leveraging Databricks, to join a team that supports a variety of business-critical data-driven initiatives. In this role, you will be helping to support decisions that will contribute to the Company’s outstanding growth and market leadership. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Responsibilities: Hands-on experience operationalizing ML models that have been created by a Data Science team Professional experience leveraging MLFlow within MLOps is HIGHLY desired Working with Data scientists, design, develop and maintain pipelines that support the deployment of ML models and algorithms, monitors data drift an
- 1 day ago
Ascendion - Irving , TX
About Ascendion: · Ascendion is a full-service digital engineering solutions company. · We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. · Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. · Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. · Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: · Build the coolest tech for world’s leading brands · Solve complex problems – and learn new skills · Experience the power of transforming digital engineering for Fortune 500 clients · Master your craft with leading training programs and hands-on experience Experience a community of change makers! · Join a culture of h
- 2 days ago
Enolink - Cambridge , MA
At Enolink, we're on a transformative journey to harness the unparalleled potential of AI in healthcare. Our ambition is to radically improve patient outcomes, accelerate drug development, and optimize healthcare systems through precision medicine. We envision a future where healthcare is intrinsically linked to AI and machine learning, leading to personalized patient care based on individual health histories and distinct health conditions. Your Role: Machine Learning Systems Engineer As part of our dynamic team, you will play a pivotal role in building and enhancing the high-performance data processing and ML services that form the backbone of our AI-driven healthcare platform, Enobase. This is your opportunity to work in a vibrant, global ecosystem alongside data scientists, machine learning engineers, healthcare experts, and business leaders. Together, we're dedicated to delivering AI-driven healthcare solutions that could fundamentally change global healthcare delivery. Responsibil
- 2 days ago
FORDER I.T. - New York , NY
We are currently seeking a talented and innovative Machine Learning Developer to join our clients dynamic team. In this role, you will collaborate closely with our researchers to leverage your expertise in machine learning and software engineering. As a Machine Learning Developer, you will play a key role in the design, development, and maintenance of systems dedicated to high-performance, large-scale knowledge discovery in financial data. Responsibilities: Design, implement, test, and document modules for all stages of the pipeline, from data processing to predictions. Assemble modules into end-to-end systems, ensuring seamless integration and functionality. Collaborate with researchers to facilitate highly productive experimentation, model construction, and validation. Contribute to the continuous improvement of our machine learning systems by staying abreast of advancements in software engineering and machine learning. Qualifications: Strong knowledge of software engineering princip
- 3 days ago

Career Path for this job

  1. Down a level:

    Software Engineer II

    2 - 4 years experience
    Bachelor's Degree

  2. This Job:

    Machine Learning Engineer

    4 - 7 years experience
    Bachelor's Degree

  3. Up a level:

    Software Engineer IV

    7 + years experience
    Bachelor's Degree

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