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Contract Machine Learning Engineer Jobs in Raleigh, NC

Qualcomm

Machine Learning Compiler

Raleigh, NC · On-site

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 ...

Deloitte

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC · On-site

$101K - $139K/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 ...

CoVar

Software Engineer

Durham, NC · On-site

They are seeking a motivated Software Engineer to develop and maintain applications that involve data processing and machine-learning algorithm integration. Responsibilities : • develop and ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76K - $102K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are looking for an experienced CI Infrastructure Engineer to own and evolve the continuous integration (CI ...

Targan Inc

Senior Vision Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

Develop and implement machine learning derived software to solve business problems. * Integrate ... This document does not create an employment contract, implied or otherwise, other than an "at will ...

IXL Learning

Contracts Administrator

Raleigh, NC · On-site

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking a Contracts Administrator to join our growing team. The ideal candidate would have prior ...

CoVar

Software Engineer

Durham, NC

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... We build advanced software and machine learning systems that help the Department of Defense detect ...

IXL Learning

Contracts Administrator

Raleigh, NC · On-site

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking a Contracts Administrator to join our growing team. The ideal candidate would have prior ...

SINNOVATEK SERVICES LLC

Automations Engineer

Middlesex, NC · On-site

$95K - $125K/yr

... machine learning models. ● Work on projects using Python, C++, or similar to interface with ... engineering logs. ● Ensure safe and organized work areas in labs and on production floors. ● ...

DPR Construction

MLOps Engineer

Raleigh, NC

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Sennos

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Create and optimize datasets and views to support analytics, reporting, machine learning, and ... Support the enforcement of data contracts between source systems and the warehouse * Assist in ...

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All JobsContract Machine Learning Engineer JobsContract Machine Learning Engineer Jobs in Raleigh, NC

Contract Machine Learning Engineer information

See Raleigh, NC salary details

$30.6K

$125.2K

$188.1K

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

As of Jul 9, 2026, the average yearly pay for contract machine learning engineer in Raleigh, NC is $125,167.00, 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 Contract Machine Learning Engineer job?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a Contract Machine Learning Engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

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

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Raleigh, NC? The most popular types of Machine Learning Engineer jobs in Raleigh, NC are:
What are popular job titles related to Contract Machine Learning Engineer jobs in Raleigh, NC? For Contract Machine Learning Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Engineer jobs in Raleigh, NC look for? The top searched job categories for Contract Machine Learning Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Contract Machine Learning Engineer jobs? Cities near Raleigh, NC with the most Contract Machine Learning Engineer job openings:
Contract Machine Learning Engineer jobs near you
Infographic showing various Contract Machine Learning Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,167 per year, or $60.2 per hour.
Machine Learning Compiler

Machine Learning Compiler

Qualcomm

Raleigh, NC • On-site

Full-time

Re-posted 4 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 205 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

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