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Quantum Machine Learning Engineer Jobs in Oregon

Lead Machine Learning Engineer

OR ยท On-site +1

$102K - $134K/yr

Practical experience handling the "Long Tail" problem in Machine Learning. * Strong programming skills in Python/PyTorch in a Linux environment. * Functional understanding of LiDAR, Camera and Radar ...

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

Senior Machine Learning Engineer

OR ยท On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include:

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

$139K - $168K/yr

Our team of Machine Learning Engineers have high impact by advancing the current Machine Learning systems, building performant and reliable LLM applications and collaborating with our product team to ...

Lead Machine Learning Engineer - Localization

OR ยท On-site +1

$102K - $134K/yr

As the Lead ML Engineer for Localization, you will build the production-grade feature extraction ... Architect and drive the technical roadmap for a production-grade localization machine learning ...

Senior/Staff Machine Learning Engineer - Ads

OR ยท On-site +1

$205K - $355K/yr

Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform * Collect and gather ...

Machine Learning Engineer 5 - Globalization

OR ยท On-site +1

$466K - $750K/yr

We are looking for an experienced Machine Learning Engineer with deep expertise in training and inference efficiency for Large Language Models (LLMs), Multimodal LLMs, and other media ML models. In ...

Showing results 21-40

Quantum Machine Learning Engineer information

See Oregon salary details

$33.3K

$136.1K

$204.6K

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

As of Aug 21, 2026, the average yearly pay for quantum machine learning engineer in Oregon is $136,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $163,900.00 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 job categories do people searching Quantum Machine Learning Engineer jobs in Oregon look for?

The top searched job categories for Quantum Machine Learning Engineer jobs in Oregon are:

Lead Machine Learning Engineer

May Mobility

OR โ€ข On-site, Remote

$102K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Job description

We are seeking Machine Learning Leaders in the Autonomous Vehicle domain. As part of our team, you will play a critical role in enhancing May's Machine Learning capabilities both on and off the vehicle, in a commercial large-scale environment with high standards of quality.

Essential Responsibilities
  • Design, train and evaluate state of the art models for May's autonomous driving, simulation and ML Platform stack.
  • Leverage emerging techniques in the End-to-End driving, Vision Language Action (VLA), World or Foundation model domains to solve commercial-scale problems.ย ย 
  • Lead small teams of cross functional Engineers beyond the state of the art.
  • Define data balance, training experiment and evaluation practices to train efficiently at petabyte scale.
Skills and Abilities

Success in this role typically requires the following competencies:

  • Direct experience architecting & training VLA, MMLM, or Generative World Models for commercial-scale applications
  • Experience composing, processing and characterizing large (>100TB) multi-modal datasets
  • Experience analyzing and addressing long-tail failure cases in large models
  • Experience leading teams of 2-3 Engineers and communicating technical details to interdisciplinary leadership.
Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required
  • Extensive practical experience in one of the following domains:
    • Vision Language Action Models
    • Generative World Models
    • Foundation Models in Robotics
    • Data Centric AI
  • A minimum of 4 years of industry experience working on commercial robotics systems.
  • A minimum of 1 year mentoring ML Engineers in a commercial or lab environment.
  • Master's degree in Robotics, Computer Science, or Computer Engineering, or a field that requires a strong mathematical and/or engineering foundation.
  • Practical experience handling the "Long Tail" problem in Machine Learning.
  • Strong programming skills in Python/PyTorch in a Linux environment.
  • Functional understanding of LiDAR, Camera and Radar processing techniques.
Desirable
  • PhD and/or published research in the described specialty domains.
  • Familiar with common post-training techniques.
  • Experience deploying models to resource constrained and edge hardware
  • Functional understanding of C/C++/CUDA memory and threading models.
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use
  • Travel required? -ย  Low: 5%-10%

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.ย 
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work.ย 
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeingย ย ย 
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out ourย website!

May Mobility is an equal opportunity employer.ย  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. ย  Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.ย  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies:ย May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.