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Evening Computer Vision Deep Learning Engineer Jobs in Durham, NC

Machine Learning Engineer About CoVar CoVar is a small AI/ML R&D software company in Durham, NC ... Deep knowledge of state-of-the-art in any of the following: computer vision (preferred), natural ...

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

... computer vision, deep learning, and automatic speech recognition (ASR). The engineer applies deep ... learning technologies to enable computers to visualize, learn, and respond to complex situations ...

Lead AI/ML Engineer - Remote

Raleigh, NC · On-site +1

$99K - $131K/yr

... computer vision, deep learning, and automatic speech recognition (ASR). The engineer applies deep ... learning technologies to enable computers to visualize, learn, and respond to complex situations ...

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

... Engineer, Artificial Intelligence! Would you enjoy researching parallel algorithms to accelerate AI ... of Deep Learning models arising from Natural Language Processing, Computer Vision, Recommender ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$71K - $96K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

Machine Learning & Operations Engineer

Durham, NC · Remote

$67K - $90K/yr

About the Role OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale ... Experience with motion capture or computer vision systems * Familiarity with experiment tracking ...

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Showing results 1-20

Evening Computer Vision Deep Learning Engineer information

See Durham, NC salary details

$46.9K

$117.4K

$132.9K

How much do evening computer vision deep learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for evening computer vision deep learning engineer in Durham, NC is $117,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $127,100.00 per year, depending on experience, location, and employer.

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Durham, NC? For Evening Computer Vision Deep Learning Engineer jobs in Durham, NC, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Durham, NC look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Durham, NC are:
What cities near Durham, NC are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities near Durham, NC with the most Evening Computer Vision Deep Learning Engineer job openings:
Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in Durham, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $117,421 per year, or $56.5 per hour.
Senior Systems Software Engineer, Machine Learning

Senior Systems Software Engineer, Machine Learning

Nvidia

Durham, NC • On-site

Full-time

Posted 9 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:

  • Masters degree, 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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 30, 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