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Quantum Machine Learning Engineer Jobs in Vancouver, WA

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR

$110K - $152K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... machine learning models to support prediction and optimization use cases; operationalize machine learning models as scalable APIs or batch inference services; implement and maintain CI/CD pipelines ...

Deegit Inc

DSP Algorithms Engineer

Hillsboro, OR · On-site

$155K - $181K/yr

Proficient in DSP theory, scientific programming, adaptive filtering, machine learning, GMM, clustering and neural networks. Strong commitment to quality using algorithm performance evaluation ...

Pwc

AI Engineer

Portland, OR · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Nike

Software Engineer

Beaverton, OR · On-site

... machine learning solutions that have a direct impact on the business; help design and build ... a engineer-related occupation. Position requires: • Software Development • Testing ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR

$115K - $156K/yr

Lead development of advanced AI, Machine Learning, and Generative AI solutions that address ... Collaborate closely with Yield Engineering, Process Integration, Manufacturing, and Technology ...

Pwc

CTIO AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Deloitte

Senior Forward Deployed Engineer- AWS

Portland, OR

$110K - $152K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Portland, OR

$108K - $143K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Deloitte

Forward Deployed Engineer- AWS

Portland, OR

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Pwc

NGA AI Engineer Manager

Portland, OR · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

US Tech - AI Engineering Senior Associate

Portland, OR · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Showing results 21-40

All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Vancouver, WA

Quantum Machine Learning Engineer information

See Vancouver, WA salary details

$33.3K

$136.2K

$204.7K

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

As of Aug 18, 2026, the average yearly pay for quantum machine learning engineer in Vancouver, WA is $136,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $164,000.00 per year, depending on experience, location, and employer.

What is a quantum machine learning engineer?

A Quantum Machine Learning Engineer is a professional who combines expertise in quantum computing and machine learning to develop algorithms and solutions that leverage quantum hardware for advanced data processing tasks. They work on designing, implementing, and testing quantum algorithms that can solve problems faster or more efficiently than classical computers. Their work often involves collaborating with physicists, data scientists, and software engineers to bridge the gap between quantum theory and practical applications. This role requires strong backgrounds in quantum mechanics, computer science, and statistical learning techniques.

What are the key skills and qualifications needed to thrive as a quantum machine learning engineer?

To thrive as a Quantum Machine Learning Engineer, you need a strong background in quantum computing, machine learning, linear algebra, and programming (often Python or C++), typically supported by an advanced degree in physics, computer science, or a related field. Familiarity with platforms like Qiskit, Cirq, or TensorFlow Quantum, and knowledge of quantum algorithms and cloud-based quantum computing services are essential. Creative problem-solving, analytical thinking, and strong collaboration skills help distinguish top performers in this interdisciplinary field. Mastery of these skills enables innovation in developing and deploying quantum machine learning solutions to solve complex, cutting-edge problems.

How do quantum machine learning engineers typically collaborate with classical machine learning teams and quantum hardware specialists?

Quantum Machine Learning Engineers often serve as a bridge between classical machine learning experts and quantum hardware specialists. They work closely with data scientists to adapt machine learning algorithms for quantum environments and collaborate with hardware teams to ensure algorithms are optimized for specific quantum processors. Regular cross-functional meetings, code reviews, and joint problem-solving sessions are common, fostering a highly collaborative work environment. This collaboration is essential for successfully integrating quantum solutions into existing workflows and advancing the organization's quantum computing initiatives.

Is quantum machine learning a good career?

Quantum machine learning engineers work at the intersection of quantum computing and machine learning, focusing on developing algorithms that leverage quantum hardware. The field is emerging with high growth potential, requiring skills in quantum algorithms, programming languages like Python, and understanding of both quantum mechanics and machine learning principles. As quantum technology advances, demand for specialists in this area is expected to increase, making it a promising career path for those with relevant expertise.

What are popular job titles related to Quantum Machine Learning Engineer jobs in Vancouver, WA?

For Quantum Machine Learning Engineer jobs in Vancouver, WA, the most frequently searched job titles are:

What job categories do people searching Quantum Machine Learning Engineer jobs in Vancouver, WA look for?

The top searched job categories for Quantum Machine Learning Engineer jobs in Vancouver, WA are:

What cities near Vancouver, WA are hiring for Quantum Machine Learning Engineer jobs?

Cities near Vancouver, WA with the most Quantum Machine Learning Engineer job openings:

Quantum Machine Learning Engineer jobs near you
Infographic showing various Quantum Machine Learning Engineer job openings in Vancouver, WA as of June 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $134,816 per year, or $64.8 per hour.

AI & Machine Learning Developer

Johnson Health Tech Companies

Vancouver, WA • On-site

$99K - $119K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 9 days ago

Johnson Health Tech rating

8.1

Company rating: 8.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

155th of 490 rated machine equipment manufacturers

Job description

Description:


Position Overview:

Under the direction of the Sr. Director of Electrical Engineering, the AI/ML Developer – Mobile Fitness Applications will The AI/ML Developer will design and prototype advanced artificial intelligence features for Johnson Health Tech’s mobile fitness applications. This role focuses on leveraging Large Language Models (LLMs) and AWS backend services to create innovative, personalized user experiences. The developer will collaborate closely with client-side Android developers to integrate these features into production applications.


Responsibilities:

· Research, design, and implement AI/ML solutions for mobile fitness applications.

· Develop and fine-tune LLMs for natural language interactions and personalization.

· Build scalable backend services using AWS technologies (Lambda, DynamoDB, SageMaker, etc.).

· Build scalable production ready ML ops pipeline and inference endpoints using AWS technologies e.g. SageMaker, Bedrock.

· Collaborate with Android developers to integrate AI features into client-side applications.

· Create prototypes and proof-of-concepts for new AI-driven features.

· Stay current with emerging AI/ML technologies and best practices.

· Ensure compliance with data privacy and security standards.

Requirements:


Education:

· Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.


Experience:

· 3+ years of experience in AI/ML development, with a focus on Natural Language Processing (NLP) and LLMs.

· Hands-on experience with AWS services for AI/ML deployment.

· Proficiency in Python and ML frameworks (TensorFlow, PyTorch).

· Experience with RESTful APIs and microservices architecture.


Benefits:

We offer an excellent compensation package and team-oriented work environment with growth opportunities. Some of our outstanding benefits include:

· Health & Dental Insurance

· Company paid Life Insurance

· 401(k)

· Paid Time Off benefits

· Product discounts

· Wellness programs



Equal Opportunity Employer, including Veterans and Individuals with Disabilities

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