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Evening Computer Vision Deep Learning Engineer Jobs

Computer Vision AI Engineer

Mclean, VA · On-site

$113K - $133K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on ... GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Computer Vision AI Engineer

Aurora, CO · On-site

$113K - $133K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on ... GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Computer Vision AI Engineer

$114K - $134K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on ... GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

Computer Vision AI Engineer

$114K - $134K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on ... GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Computer Vision AI Engineer

Chantilly, VA · On-site

$115K - $135K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on ... GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision ...

Senior Deep Learning Engineer

Manhattan, NY

$115K - $158K/yr

We're looking for a Senior Deep Learning Engineer with extensive experience in modern neural network techniques and PyTorch to help us push the boundaries of computer vision in real-world ...

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Evening Computer Vision Deep Learning Engineer information

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$48.5K

$121.5K

$137.5K

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

As of Jun 10, 2026, the average yearly pay for evening computer vision deep learning engineer in the United States is $121,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $131,500.00 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.

More about Evening Computer Vision Deep Learning Engineer jobs
What cities are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities with the most Evening Computer Vision Deep Learning Engineer job openings:
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs? The most popular types of Computer Vision Deep Learning Engineer jobs are:
What states have the most Evening Computer Vision Deep Learning Engineer jobs? States with the most job openings for Evening Computer Vision Deep Learning Engineer jobs include:
Infographic showing various Evening Computer Vision Deep Learning Engineer job openings in the United States as of June 2026, with employment types broken down into 36% Full Time, 60% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $121,515 per year, or $58.4 per hour.
Sr Machine Learning Engineer - Safety Experience

Sr Machine Learning Engineer - Safety Experience

Roblox

San Mateo, CA • On-site

Other

Posted 9 days ago


Job description

The Rights Manager team and the Content Suitability team that are part of our Safety Experience are looking to hire a Sr Machine Learning Engineer for their respective teams.

The Safety Experience organization builds the tools and systems that give Roblox Users and Creators control over their experience and empower moderators to enforce our community standards. These teams focus on education, intervention, visibility, and action.

We focus on:

  • Monitoring and influencing user behavior (User Safety)
  • Building efficient and scalable moderation platforms (Foundation)
  • Providing transparency and education for parents and developers (User Safety)
  • Giving users agency in managing their own safety (User Safety)
  • Give IP owners the ability to manage their creations on Roblox (Rights & Guidelines)
  • Providing users fast and accurate support with the Customer Care Chatbot (Customer Care)

You will:

  • Work on implementation of machine learning solutions for safety-related systems
  • Help to foster a culture of technical excellence and inclusivity
  • Break down long-term product requirements into iterative deliverable stages, ensuring continuous improvement
  • Craft and build large-scale machine learning models with billions of parameters, ensuring production-readiness
  • Facilitate challenging technical decisions, demonstrating empathy and finding common understanding
  • Collaborate with cross-functional teams to execute on ML-based problems

You have:

  • MS or PhD degree + 2+ years of experience in Computer Vision, Deep Learning, or a related field. You have solid fundamentals in Computer Vision and Deep Learning.
  • Experience with the full ML lifecycle, including training, deployment, and continuous monitoring.
  • Experience with similarity detection and/or digital watermarking. This includes work on developing and re-training embedding models, including multi-modal models
  • Strong coding skills with proficiency in one or more programming languages and experience with building large-scale systems

You are:

  • Experienced in the safety, integrity, or content moderation domain.
  • Familiar with large-scale content understanding problems (e.g., text, image, video classification).
  • Experienced with cloud-based ML platforms and infrastructure.