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Computer Science Peer Mentor Jobs in Detroit, MI

General Motors

Senior Data Scientist

Warren, MI · On-site

$150 - $200/hr

Mentor junior data scientists and contribute to the growth and development of the data science ... Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

... OR Computer Science or equivalent combination of relevant education and experience * 5+ years of ... and peers in a simple and clear manner * Well-organized, independent, and ready to work with ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

... OR Computer Science or equivalent combination of relevant education and experience * 5+ years of ... and peers in a simple and clear manner * Well-organized, independent, and ready to work with ...

General Motors

Senior Data Scientist

Warren, MI · On-site

Mentor junior data scientists and contribute to the growth and development of the data science ... Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a ...

General Motors

Senior Data Scientist

Warren, MI · Hybrid

Mentor junior data scientists and contribute to the growth and development of the data science ... Master's in Computer Science, Engineering, Mathematics, Operations Research, Statistics, or a ...

General Motors

Software Integration Manager

Milford, MI · On-site

... and mentor team members in integration leadership, structured problem solving, and effective ... Computer Science, or a related engineering field withequivalent practical experience. * 5+ years of ...

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All JobsComputer Science Peer Mentor JobsComputer Science Peer Mentor Jobs in Detroit, MI

Computer Science Peer Mentor information

See Detroit, MI salary details

$12

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$26

How much do computer science peer mentor jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for computer science peer mentor in Detroit, MI is $19.12, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $20.96 per hour, depending on experience, location, and employer.

What is a computer science peer mentor?

Computer Science Peer Mentors are experienced students who provide guidance, support, and resources to fellow computer science students. They help peers with academic questions, study strategies, and navigating the challenges of computer science coursework. Peer mentors often lead study sessions, offer advice on time management, and connect students to useful campus resources. Their goal is to foster a supportive learning environment and help students succeed in their computer science studies.

What skills and qualifications are needed to thrive as a computer science peer mentor?

To thrive as a Computer Science Peer Mentor, a strong grasp of core computer science concepts, programming languages, and coursework—often demonstrated by successful completion of relevant classes—is essential. Familiarity with learning management systems, code collaboration platforms (like GitHub), and experience with tutoring tools or educational software is typically required. Excellent communication, patience, and active listening skills help a mentor effectively support and motivate fellow students. These skills ensure mentors can clearly explain complex topics, foster a supportive learning environment, and guide mentees toward academic success.

What challenges do computer science peer mentors face when supporting fellow students, and how are these typically addressed?

Computer Science Peer Mentors often encounter challenges such as explaining complex technical topics in an accessible way, managing time between mentoring and their own coursework, and addressing diverse learning styles among mentees. To address these, mentors receive training in communication and teaching strategies, collaborate closely with faculty, and participate in regular team meetings to share best practices. Additionally, most programs encourage mentors to set clear boundaries and use structured schedules to balance their responsibilities effectively.

What is the difference between Computer Science Peer Mentor vs Computer Science Tutor?

AspectComputer Science Peer MentorComputer Science Tutor
Required CredentialsTypically current students with strong CS knowledgeOften certified or experienced in specific CS topics
Work EnvironmentPeer-led sessions, informal settings, campus programsFormal tutoring sessions, academic centers, online platforms
Employer & Industry UsageUniversity programs, student organizationsAcademic institutions, tutoring companies
Common Search & Comparison IntentUnderstanding peer support roles in CSFinding professional help for CS coursework

Computer Science Peer Mentors are usually current students providing informal guidance within campus programs, focusing on peer support. In contrast, Computer Science Tutors often have formal credentials and offer structured tutoring sessions. Both roles aim to assist students but differ in their approach, credentials, and settings.

Do computer science peer mentors get paid?

Computer science peer mentors are often volunteer positions, but some institutions offer stipends or hourly pay for these roles. Payment depends on the program or organization, and some may provide academic credit or other benefits instead of monetary compensation.

What are popular job titles related to Computer Science Peer Mentor jobs in Detroit, MI?

For Computer Science Peer Mentor jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Computer Science Peer Mentor jobs in Detroit, MI look for?

The top searched job categories for Computer Science Peer Mentor jobs in Detroit, MI are:

Computer Science Peer Mentor jobs near you
Infographic showing various Computer Science Peer Mentor job openings in Detroit, MI as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $39,778 per year, or $19.1 per hour.

Staff, ML Engineer - Scene Generation

Ann Arbor, MI • On-site, Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Key responsibilities

  • Lead the Scene Generation team by setting technical direction, making key design decisions, and prioritizing work.

  • Translate research advances in Neural Rendering and generative models into production-quality sensor simulation software for cameras, LiDAR, and radar.

  • Own the development, testing, deployment, and scaling of the neural rendering framework and related pipelines in a cloud environment.

Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc is marching towards its AV 3.0 strategy. The Scene Generation team builds sensor simulation based on Neural Rendering and generative models for Torc's data-driven simulator. High-quality data from novel scenarios closes the domain data gap, solving one of the biggest challenges for safe autonomous driving. The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, contributing to Torc's data workflow for training and validation across the complete AV stack. As Staff ML Engineer, you will lead this team, setting its technical direction and day-to-day priorities.
What You'll Do
  • Serve as the team's technical lead, owning key design decisions and driving consensus across engineers and stakeholders.
  • Set and own the technical vision and roadmap for the Scene Generation team's Neural Rendering and generative modeling work, aligned to Torc's AV 3.0 strategy.
  • Lead the Scene Generation team day to day, prioritizing work, unblocking engineers, and making the final call on architecture and technical approach.
  • Implement and guide the team in applying the latest research advances in Neural Rendering and generative models.
  • Translate cutting edge research into production quality Camera, LiDAR, and Radar sensor simulation that scales perception simulation and AV 3.0 training.
  • Own the neural rendering framework end to end, from research, design, and implementation through testing, cloud integration, and deployment.
  • Understand the integration of the framework in a cloud environment and automate the pipeline to scale target verification and validation of our autonomous trucks.
  • Design, implement, test, and deploy shippable production quality software using disciplined software development processes, setting the technical bar for the team.
  • Work within the cloud machine learning ecosystem alongside other machine learning services across the company, owning integration and scaling decisions for the team's pipeline.
  • Proactively assess current capabilities to identify areas for improvement, proposing and driving solutions that align with core strategy and operations.
  • Drive alignment across team interfaces to the rest of the organization, representing Scene Generation's roadmap, priorities, and constraints to peer teams and leadership.
  • Mentor, coach, and grow engineers on the team, and play an active role in hiring, onboarding, and career development for the group.

What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 10+ years of experience OR Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 7+ years of experience OR PhD in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 5+ years of experience.
  • Proficiency in Python and deep learning frameworks such as PyTorch.
  • PhD or equivalent work experience of 8+ years in a relevant field (CS, Robotics, Electrical Engineering), with industry experience shipping production software and leading technical teams.
  • Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching).
  • Experience with production data in the context of robotics and/or autonomous driving
  • Background in Computer Vision, Computer Graphics, 3D Reconstruction, or 3D Computer Vision.
  • Experience handling autonomous driving sensor data across multiple timestamps and sensor modalities, including cameras, LiDAR, and radar.
  • Recognized as an expert in the discipline, conducting complex, high impact work under minimal supervision and with wide latitude for independent judgment.
  • Experience with VDI and cloud-based machine learning development environments.
  • Demonstrated experience leading a team or serving as a technical lead, setting direction and driving consensus across engineers and stakeholders.
  • Track record of mentoring and developing engineers, including more senior individual contributors.
  • Proven ability to design, maintain, and own team technical solutions, and to drive alignment across team interfaces to the rest of the organization.

Bonus Points!
  • Experience with autonomous driving or robotics perception in production environments.
  • Proficiency with CUDA programming for efficient rendering of large-scale scenes.
  • Publications in top tier CV, AI, or Graphics conferences (CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, SIGGRAPH) or journals.
  • Experience with MLOps and infrastructure tools such as Ray.
  • Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
  • Prior experience as a formal people manager or tech lead.

Perks of Being a Full-time Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102840
Hiring Range for Job Opening
US Pay Range
$249,600-$299,500 USD

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