Computer Task Group
Computer Task Group

70 Computer Task Group Machine Learning Engineer Jobs Hiring Near You

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading ... Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems ...

We are a unique group of brilliant minds intent on discovering, learning and building. We work in a ... Graduate degree in Computer Science with a strong background in machine learning required. * Strong ...

We are a unique group of brilliant minds intent on discovering, learning and building. We work in a ... Graduate degree in Computer Science with a strong background in machine learning required. * Strong ...

To achieve this, we're working on projects that utilize the latest computer science techniques ... As a machine learning engineer, you will be responsible for designing and implementing scalable ...

We are looking for a Machine Learning Engineer to help us create artificial intelligence products ... BSc in Computer Science, Mathematics or similar field; Master's degree is a plus

... with some of the following tasks: * Dataset Creation. * Data Exploration/Visualization ... Required Qualifications * BS. in Computer Science, or related field. * 3+ years of professional ...

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Entry-Level AI / Machine Learning Engineer Full-Time Candidate must be open to relocate Job Summary ... Familiarity with NLP, computer vision, or generative AI. * Experience with cloud platforms such as ...

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About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer ... This role will also work with the AI research group on various projects such as creating synthetic ...

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... CAD and hardware design HRforGrowthis an extension of the Growth Catalyst Group (GCG), a ...

Fremont, CA Duration: 12+ Months Tesla/ $65 About the Role: - Our direct client is seeking a highly skilled Machine Learning Engineer to join their Software Machine Learning and Computer Vision team.

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Computer Task Group Jobs Information

What is it like to work at Computer Task Group?

Computer Task Group (CTG) is a global IT consulting and staffing company that values collaboration, innovation, and customer satisfaction, fostering a dynamic and supportive work environment.

CTG operates with a team-based structure, offering opportunities for professional growth and development through training programs, mentorship, and cross-functional projects. The company's mission is to deliver high-quality IT solutions and services to clients across various industries, leveraging its global network and expertise.

Working at CTG may appeal to candidates seeking a challenging and rewarding career in IT consulting, with opportunities to work on diverse projects, develop new skills, and collaborate with a global team of professionals.

What makes Computer Task Group an attractive place to work?

Computer Task Group is a leading provider of IT services and solutions, with a strong reputation for delivering high-quality technology consulting and managed services to its clients. The company fosters a collaborative and innovative work environment, where employees can engage in meaningful projects, develop new skills, and work closely with experienced professionals. By joining Computer Task Group, individuals can pursue a career in a dynamic and growth-oriented organization, with opportunities to make a meaningful impact, advance their professional development, and contribute to the company's continued success.
Infographic showing various Machine Learning Engineer job openings at Computer Task Group in the United States as of August 2026, with employment types broken down into 58% Full Time, 40% Contract, and 2% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Machine Learning Compiler

Qualcomm

New York, NY • On-site

$140K - $211K/yr

Full-time

Posted 9 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 243 rated software companies


Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Preferred Qualifications:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 1+ year of experience working in a large matrixed organization.
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Principal Duties and Responsibilities:
• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.
Level of Responsibility:
• Works under supervision.
• Decision-making affects direct area of work and/or work group.
• Requires verbal and written communication skills to convey basic, routine factual information.
• Tasks consist of a limited number of steps and can be referenced using directions or manuals.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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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