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Temp Ibm Quantum Machine Learning Jobs (NOW HIRING)

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How much do temp ibm quantum machine learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for temp ibm quantum machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Ibm Quantum Machine Learning jobs? The most popular types of Ibm Quantum Machine Learning jobs are:
Infographic showing various Temp Ibm Quantum Machine Learning job openings in the United States as of June 2026, with employment types broken down into 10% Full Time, 80% Part Time, and 10% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning Researcher, Senior

Machine Learning Researcher, Senior

Qualcomm

San Diego, CA • On-site

Full-time

Posted 5 days ago


Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

5th of 191 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Senior Machine Learning Researcher, you will conduct fundamental research to develop innovative machine learning methodologies and collaborate with cross-functional teams to enhance various products through machine learning research.
Responsibilities:
• Applies Machine Learning knowledge to conduct fundamental research to create new models or training methods in various technology areas (e.g., deep generative models, Bayesian deep learning, equivariant CNNs, Bayesian optimizations, reinforcement learning, unsupervised learning, and graph NNs).
• Drives systems innovations for model efficiency advancement on device as well as in the cloud, including auto-ML methods for the creation and optimization of efficient models (e.g., model compression, quantization, architecture search, and kernel/graph compiler/scheduling).
• Performs platform research to enable new machine learning compute paradigm (e.g., compute in memory, on-device learning/training, edge-cloud distributed/federated learning, and quantum machine learning).
• Develops and publishes research findings in the form of presentations and conference papers.
• Conducts research on machine learning and develops innovative or patentable ideas for new solutions.
• Develops, tests, optimizes, and documents complex new or updated machine learning algorithms, models, and methods that are aligned with research strategies.
Qualifications:
Required:
• Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 6+ months of academic and/or work experience developing and/or optimizing machine learning models, systems, platforms, or methods.
Preferred:
• PhD in Computer Engineering, Computer Science, Electrical Engineering, or related field.
• 2+ publications at a machine learning conference.
• 2+ years of experience working in a large matrixed organization.
• 1+ year of work experience in a role requiring interaction with senior leadership (e.g., Director and above).
• 1+ year experience with machine learning research related to new models, systems innovations, platforms, or methodology.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985