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Evening Computer Vision Deep Learning Engineer Jobs in Manchester, NH

Rockstar Games

Senior Machine Learning Engineer

Andover, MA · On-site

$105K - $145K/yr

They are seeking a Senior Machine Learning Engineer to join their Analytics team, focusing on ... Computer Science, Mathematics, Statistics, or strong quantitative and software background. • ...

Varsity Tutors

Machine Learning Tutor

Lawrence, MA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

SynergisticIT

Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

... Deep Learning models for image classification Desired Candidate Profile Skills required: Hands on ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

Varsity Tutors

Computer Programming Tutor

Lawrence, MA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of programming fundamentals including variables, data types, control structures ...

Smith & Nephew

Senior Staff Electrical Engineer

Andover, MA · On-site

$145K - $217K/yr

... computer vision, and video streaming. This is an exciting career opportunity for a high potential ... deep SI/PI understanding as well as good analytical and problem-solving skills. This includes ...

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All JobsEvening Computer Vision Deep Learning Engineer JobsEvening Computer Vision Deep Learning Engineer Jobs in Manchester, NH

Evening Computer Vision Deep Learning Engineer information

See Manchester, NH salary details

$48.3K

$121K

$136.9K

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

As of Jul 22, 2026, the average yearly pay for evening computer vision deep learning engineer in Manchester, NH is $120,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $130,900.00 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 Manchester, NH? For Evening Computer Vision Deep Learning Engineer jobs in Manchester, NH, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Manchester, NH look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Manchester, NH are:
Evening Computer Vision Deep Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Rockstar Games

Andover, MA • On-site

$105K - $145K/yr

Full-time

Posted 23 days ago

Job description

Job Summary:
Rockstar Games is a leading company in the entertainment industry, known for creating world-class experiences. They are seeking a Senior Machine Learning Engineer to join their Analytics team, focusing on building data science products that enhance game design and player engagement.
Responsibilities:
• Partner with Data Scientists and business stakeholders to understand analytical & ML needs and translate them into robust ML solutions that enable us to leverage and derive insights.
• Design and build end-to-end ML pipelines, including data, features, training and, serving.
• Push the boundaries of our ML and Data Science platform by taking advantage of and spearheading cutting-edge advancements in AI and Agentic frameworks.
• Set up monitoring, A/B testing, and metrics frameworks to measure real impact.
• Perform timely Root Cause Analysis to troubleshoot model and data-related issues; assist in implementation of code and process fixes.
• Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.
• Contribute to the technical strategy and establishment of best practices within the team.
• Develop and support CI/CD processes.
Qualifications:
Required:
• 5+ years of experience building ML systems in production.
• Bachelor’s degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background.
• Proven track record in building, monitoring, and optimizing large-scale ML solutions and infrastructure.
• Experience working in Databricks and Databricks MLflow is essential.
• Experience working with pipeline scheduling tools such as Airflow & Astronomer.
• Experience working with CI/CD tools such as Terraform and GitHub.
• Ability to push the frontier of technology and freely pursue better alternatives.
Preferred:
• Production experience deploying Databricks Genie AI and other Databricks Agentic solutions
Company:
Rockstar Games is a multinational video game development and publishing company that provides a wide range of games. Founded in 1998, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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