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Quantum Machine Learning Engineer Jobs in Milwaukee, WI

Varsity Tutors

Machine Learning Tutor

Milwaukee, WI · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deloitte

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$103K - $141K/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 ...

Purple Drive Technologies

GenAI Engineer

Waukesha, WI · On-site

The ideal candidate will have a strong background in machine learning, natural language processing ... Experience in prompt engineering, model fine-tuning, and API integration. * Solid background in ...

SynergisticIT

ML Engineer (Junior)

Milwaukee, WI

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Milwaukee Machine Tool

Be Seen First

Manufacturing Sales Engineer

Milwaukee, WI · On-site

$55K - $75K/yr

Engage in quantum engineering projects as required, applying advanced computational techniques. * Maintain documentation of application development processes, including design specifications and user ...

Pwc

CTIO AI Engineering Manager

Milwaukee, WI

$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 ...

Cliftonlarsonallen

Senior AI Engineer

Racine, WI

$98K - $134K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

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All JobsQuantum Machine Learning Engineer JobsQuantum Machine Learning Engineer Jobs in Milwaukee, WI

Quantum Machine Learning Engineer information

See Milwaukee, WI salary details

$31K

$126.9K

$190.6K

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

As of Jun 10, 2026, the average yearly pay for quantum machine learning engineer in Milwaukee, WI is $126,869.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $152,700.00 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.

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.

What are the key skills and qualifications needed to thrive as a Quantum Machine Learning Engineer, and why are they important?

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.
What are popular job titles related to Quantum Machine Learning Engineer jobs in Milwaukee, WI? For Quantum Machine Learning Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning Engineer jobs in Milwaukee, WI look for? The top searched job categories for Quantum Machine Learning Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Quantum Machine Learning Engineer jobs? Cities near Milwaukee, WI with the most Quantum Machine Learning Engineer job openings:
Quantum Machine Learning Engineer jobs near you

Machine Learning Engineer II - Adaptive Application Algorithm

Milwaukee Tool

Brookfield, WI • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Job Description:
INNOVATE WITHOUT BOUNDARIES!
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams.
Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in electrical engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.
Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to design and develop the biggest breakthroughs in the industry.
Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Year after year, our team continues to make significant breakthroughs in the industry. We're just getting started. To learn more about our story click HERE.
At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success - so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our Advanced Engineering & Technology team.
Our Team's Technology Obsession
The Adaptive Application Algorithm development team is the trusted research and knowledge bank that accelerates and delivers technological disruptive innovation to the organization. We work with cutting-edge engineering tools and spearhead the development of industry-defining technologies. Our collaborative and supportive work environment encourages out-of-the-box thinking, challenges traditional approaches, and empowers us to explore groundbreaking ideas. We are committed to staying ahead of the curve, continuously investing in research and development, and ensuring that our engineers have access to the most advanced technology.
The ideal candidate is a curious self-starter, who can drive several projects of high complexity. They are passionate about working in the ambiguous early research and development phase of engineering technologies and are eager to leverage their diverse background in Machine Learning (ML) and Artificial Intelligence (AI). They have a history of bringing fundamental technology principles to tangible applications that deliver innovation. They are hands-on, fail forward, and collaborate regularly with our cross-discipline team of various skillsets including Electrical Engineering, Cloud Architecture, Mechanical Engineering, Machine Learning Engineering, and other technical disciplines. Your extensive experience across multiple areas of Machine Learning will be invaluable in driving forward our cutting-edge projects and delivering impactful solutions.
You'll be DISRUPTIVE through these duties and responsibilities:
  • Research and introduce emergent technologies into the business which empower future product development,
  • Leverage your diverse background and deep skillset in Machine Learning to deliver technological innovation.
  • Execute applied ML for Advanced Engineering and R&D settings through proof of concepts and pilots.
  • Stay ahead of industry trends related to AI, ML, and Cloud technologies - while rapidly evaluating their fit.
  • De-risk technologies prior to business introduction by leveraging multiple approaches such as: Technology Readiness Level process, start-up engagements, and joint developments.
  • Support the engagement of external partnerships, internal partnerships, or university engagements to accelerate technology delivery.
  • Foster collaboration not only within your discipline but also with subject matter experts across the business, including mechanical, electrical and design engineers.

What TOOLS you'll bring with you:
  • Proven track record of developing, deploying, and implementing impactful AI or ML solutions connected to business objectives.
  • Effective at evaluating technology feasibility and moving through development process.
  • Demonstrated experience using fundamental ML techniques such as unsupervised, supervised, regression, dimensionality reduction, or similar.
  • Familiar with advanced Machine Learning and AI methods such as CNN's, transformers, NLP, Computer Vision, or similar.
  • Capable of developing robust MLOps pipelines to ensure efficient deployment, monitoring, and scaling of ML models.
  • Can developed in cloud, local, or edge environments leveraging associated libraries and tools.
  • Comfortable with Data Engineering, Data Collection, ETL, and data architecture principles.
  • Familiar with different types of data collection methods or hardware in an engineering lab setting.
  • Insatiably curious about emergent technologies, understanding their principles, and demonstrating their value in relevant environments.
  • Bachelor of Science degree in Machine Learning, Data Science, Electrical Engineering, Computer Science, or related field.
  • 2+ Years experience using Machine Learning Engineering skillsets in Research and Development, Advanced Engineering, or Lab environment.
  • Excellent technical communication skills and fundamental project management abilities.
  • Periodic travel may be required, up to 10%.
  • Hands on experience.

We provide these great perks and benefits:
  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.

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