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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 ...

Qualcomm

Sr Software Engineer, AI Tools - Quantizer

Raleigh, NC · On-site

$119.10K - $157K/yr

As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge machine learning techniques that enable the efficient utilization of state-of-the-art solutions across various ...

Deloitte

AI Solutions Leader

Raleigh, NC

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

Deloitte

AI Data Engineer - Manager

Raleigh, NC · On-site

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

Deloitte

AI Data Engineer Manager

Raleigh, NC · On-site

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

Deloitte

Senior AI Engineer - SFL Scientific

Raleigh, NC

$101.60K - $139.50K/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 ...

Qualcomm

CI Infrastructure Engineer

Raleigh, NC · On-site

$76.80K - $102.60K/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

$119.10K - $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 ...

Maximus

AI/ML Software Developer

Durham, NC · Remote

Recent contract awards in cybersecurity and operational readiness underscore Maximus' role as a ... data for machine learning pipelines, feature engineering, and model lifecycle management ...

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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

$28.2K

$115.1K

$173K

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

As of May 29, 2026, the average yearly pay for contract machine learning engineer in Raleigh, NC is $115,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,500.00 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 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 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.
More about Contract Machine Learning Engineer jobs
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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 May 2026, with employment types broken down into 72% Full Time, 8% Part Time, and 20% Contract. Highlights an 66% Physical, 5% Hybrid, and 29% Remote job distribution, with an average salary of $115,100 per year, or $55.3 per hour.
Senior Systems Software Engineer, Machine Learning

Senior Systems Software Engineer, Machine Learning

Nvidia

Durham, NC

Full-time

Posted 24 days ago

Job description

NVIDIA has been transforming computer graphics, PC gaming, accelerated computing, and machine learning for more than 25 years. It's a unique legacy of innovation fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing - an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

We're hiring a Deep Learning Engineer with strong experience in generative AI, LLMs/VLMs, computer vision, and agentic systems. If you've spent more time than you'd like to admit building workflows to populate data and/or diversify/expand your dataset, you'll likely feel at home here. Bonus points if you've worked with 3D computer vision (extra bonus if you actually enjoyed it). The team is a balanced mix of engineers and scientists, and we care about both rigor and actually getting things out the door. The culture is collaborative, low-ego, and built around ownership. If you enjoy building systems that get used-and working with people who know when to debate and when to just run the experiment-this jobs is for you.

What you will be doing:

  • Convert research into real products (not just slide decks or notebooks)

  • Help build workflows that diversify datasets and/or populate data

  • Ship machine learning workflows/pipelines fast and iterate faster

  • Leverage LLM/VLM and agents in the data generation pipeline

  • Define evaluation criteria and run offline evals before any model or prompt change reaches production"

What we need to see:

  • Master's, or preferably a PhD degree in Computer Science or a related field (or equivalent experience)

  • 5+ years of experience

  • Solid mathematical and algorithmic foundation and proven expertise demonstrated through research publications, internships, or significant project experience.

  • Strong background in computer vision and deep learning.

  • Excellent programming skills in Python and C/C++.

  • Excellent software engineering fundamentals.

  • Ability to develop code in Unix/Linux environments.

  • Excellent written, visual, and verbal communication skills to present performance challenges, tradeoffs, and architectural alternatives.

  • Strong collaboration skills to partner with other teams.

Ways to stand out from the crowd:

  • Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery"

  • Shipped a product feature backed by a VLM (e.g., image captioning, document understanding) - including handling inference latency, cost-per-call tradeoffs, and degraded-mode fallbacks

  • Shipped AI-powered features to real users - not just prototyped with agent frameworks. If your experience is primarily personal projects or hackathons, this role may not be the right fit yet.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 9, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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