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Machine Learning Quantum Computing Jobs in Los Angeles, CA

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.

Showing results 41-60

Machine Learning Quantum Computing information

See Los Angeles, CA salary details

$27.5K

$45.9K

$94.8K

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

As of Aug 22, 2026, the average yearly pay for machine learning quantum computing in Los Angeles, CA is $45,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $49,600.00 per year, depending on experience, location, and employer.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

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

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are popular job titles related to Machine Learning Quantum Computing jobs in Los Angeles, CA?

For Machine Learning Quantum Computing jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Quantum Computing jobs in Los Angeles, CA look for?

The top searched job categories for Machine Learning Quantum Computing jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Machine Learning Quantum Computing jobs?

Cities near Los Angeles, CA with the most Machine Learning Quantum Computing job openings:

Sr Technical Program Manager - cryo hardware & electronics, AWS Center for Quantum Computing

Amazon

Pasadena, CA

Full-time

Re-posted 22 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,107 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

The AWS Center for Quantum Computing is a multi-disciplinary team of scientists, engineers, and technicians, all working to develop quantum computing technology capable of delivering value to customers. Our cryogenic hardware integration & signals teams are innovating to develop next generation hardware - from the chip package to the room temperature control electronics.
We are looking for a senior technical program manager to coordinate our internal/external R&D efforts. You will work with the management and technical leads from our cryogenic hardware integration & signals teams to plan, execute, and track a continuous stream of development activities

You will develop and maintain detailed multi-project schedules (from prototypes to production). You will identify resource constraints and conflicts, and provide leadership with the data to make informed and optimized decisions.
This role will gather and assess the data (inputs and outputs) to push our teams to run efficiently.

You will partner with other TPMs and work across team boundaries and project lines to identify and unblock resource conflicts. You will leverage your experience in managing complex technical programs to make data-informed decisions at a programmatic level.
In this role, you will also support the definition of technical project management standards across the Center of Quantum Computing.

Additionally, as an experienced technical manager, you will have the opportunity to contribute to shaping practices across the organization. This includes improving our general lifecycle approach for projects, while also increasing our ability to promote visibility of project progress to other teams and senior leadership. Familiarity with system engineering topics that intersect with technical management, such as quantitative risk management, reviews, and requirements management is highly desirable.
10038
Key job responsibilities
1

Produce and maintain detailed plans and schedules for our cryogenic hardware and signals R&D activities (including chip cool down planning).
- You will identify and forecast resource constraints, opportunities and conflicts, which will be used to drive operational decisions.
- You will work across team boundaries to ensure stakeholders are aware of risks/opportunities and timelines.
- You will identify operational gaps and generate recommendations and mechanisms to improve operational efficiency.
2. You will work with stakeholders to define mechanisms that optimize the interface points to cryogenic hardware & signals teams.
3. You will support leadership by providing programmatic support as required towards the development of any new fab facilities, onboarding or new equipment, and sourcing materials to run our operation.
4

Support/lead the development of requirement documents and statements of work for external contracts (COTS and R&D). You will also support or manage these external contracts.
5. Identify opportunities and advocate for areas where inhouse developed software or AI applications can streamline our internal hardware workflows

Support the internal roll-out and adoption of these tools.
A day in the life
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S

as a refugee or granted asylum, or be able to obtain a U.S export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.
*Why AWS*
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
*Diverse Experiences*
Amazon values diverse experiences

Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
*Inclusive Team Culture*
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and Career Growth*
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.


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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US