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Machine Learning Engineer New Grad Jobs in Raleigh, NC

Job Summary : Qualcomm Technologies, Inc. is focused on advancing machine learning compiler ... Required : • Bachelor's degree in Computer Science, Electrical Engineering, or related field and ...

AI Solutions Architect

Raleigh, NC · On-site

$61.25 - $80.75/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Our engineering team leverages emerging technologies and best practices across data security ... Work with clients to design, develop, and deploy new architectures to support machine learning ...

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Design, create, and maintain Jenkins pipelines for building, testing, and validating a Machine Learning compiler * Collaborate with compiler engineers to integrate new tests, workflows, and tooling ...

We build advanced software and machine learning systems that help the Department of Defense detect ... new code. In this role, you will develop and maintain real-time, computationally intensive ...

... Machine Learning,Data Science, Data Engineering and Software Engineering. Position Overview ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

Senior Google CX Engineer (GECX)

Durham, NC · On-site +1

$116K - $146K/yr

... integrate new capabilities. * Contribute to the development of innovative solutions and ... Machine Learning Engineer, or Professional Data Engineer. * Practical expertise with Google ...

Experience deploying production-ready machine learning models * Experience with Model ... Working at DPR, you'll have the chance to try new things, explore unique paths and shape your ...

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

... to develop new tools that leverage our existing codebase and technology to create innovative ... Develop and implement machine learning derived software to solve business problems. * Integrate ...

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Machine Learning Engineer New Grad information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

How much do machine learning engineer new grad jobs pay per year?

As of Jul 21, 2026, the average yearly pay for machine learning engineer new grad in Raleigh, NC is $125,174.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer New Grad job?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the Machine Learning Engineer New Grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a Machine Learning Engineer New Grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Raleigh, NC? For Machine Learning Engineer New Grad jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Raleigh, NC look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Machine Learning Engineer New Grad jobs? Cities near Raleigh, NC with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Raleigh, NC as of July 2026, with employment types broken down into 50% Full Time, 12% Part Time, and 38% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $125,174 per year, or $60.2 per hour.
Machine Learning Compiler

Machine Learning Compiler

Qualcomm

Raleigh, NC • On-site

Full-time

Re-posted 16 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 209 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is focused on advancing machine learning compiler technologies for AI accelerators in the Cloud and Datacenter market. The role involves leading a team to innovate ML compiler optimization algorithms and managing projects while ensuring robust performance across diverse ML models and hardware targets.
Responsibilities:
• Drive innovation in ML compiler optimization algorithms, leveraging advanced mathematics, programming language theory, and modern compiler techniques.
• Oversee feature design, code reviews, and integration of compiler components into the AI software stack.
• Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets.
• Manage and mentor a team of engineers, fostering technical growth and collaboration.
• Plan and execute projects to meet release deliverables, balancing tactical improvements with strategic roadmap goals.
• Coordinate cross-functional efforts with hardware, architecture, and AI framework teams.
• Shape the evolution of ML compiler technology within the organization, aligning with industry trends and internal product strategies.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Electrical Engineering, or related field and 10+ years of relevant experience
• Master’s degree and 8+ years of experience
• Ph.D. and 6+ years of experience in compiler development, ML systems, or related areas
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• Master's degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
• PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience
Preferred:
• Strong background in compiler design (LLVM, optimization passes, IR transformations)
• Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations
• Familiarity with ML hardware accelerators, memory hierarchies, and performance modeling
• Solid C++ programming skills
• Proven ability to lead teams and deliver complex software projects in fast-paced environments
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.

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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