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Computer Science New Grad Jobs in Detroit, MI (NOW HIRING)

General Motors

Senior AI/ML Scientist

Milford, MI · On-site

... build new capabilities into our existing Co-Simulation (Digital Twin) framework. * Lead and/or ... Bachelor's degree in Computer Science, Engineering, or Mathematics * Proficiency in modern ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads the research and development of new technologies and best practices within the industry to ... D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

Leads the research and development of new technologies and best practices within the industry to ... D degree with emphasis on coursework of a quantitative nature (e.g., Statistics, Computer Science ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Master's degree or foreign equivalent in Industrial and Operations Engineering, Computer Science ... Will your career be a deep dive into what you love, or a series of new teams and new skills? Will ...

pegasys soft

IOS Developer

Ann Arbor, MI · On-site

$50.75 - $69.75/hr

Ability and desire to learn new skills and take on new tasks. * Examples of work on iOS. Qualifications BS in computer science or equivalent Additional Information

New Eagle

Senior Software Engineer I

Ann Arbor, MI

$119K - $158K/yr

... New Eagle is responsible is responsible for designing, developing, and testing software that ... Bachelor's in Computer Science, Computer Engineering, or Electrical Engineering. * Proficiency in ...

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All JobsComputer Science New Grad JobsComputer Science New Grad Jobs in Detroit, MI

Computer Science New Grad information

See Detroit, MI salary details

$50K

$110.2K

$136.1K

How much do computer science new grad jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science new grad in Detroit, MI is $110,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $135,600.00 per year, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to Computer Science New Grads in their first role?

As a Computer Science New Grad, you will often start with foundational tasks such as fixing bugs, developing small features, writing tests, and assisting in code reviews. These assignments help you become familiar with the company's codebase, workflows, and development tools while providing opportunities to learn from experienced colleagues. You may also be involved in team meetings, participating in project planning sessions, and collaborating with other developers, product managers, or QA specialists. Over time, as you gain experience and confidence, you'll likely take on larger, more complex projects with greater responsibility. This structured approach allows new grads to build essential skills and smoothly transition into more advanced roles.

What are the key skills and qualifications needed to thrive in the Computer Science New Grad position, and why are they important?

To thrive as a Computer Science New Grad, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a relevant degree such as a Bachelor’s in Computer Science or related field. Familiarity with industry-standard programming languages (such as Python, Java, or C++), version control systems like Git, and experience with development environments or cloud platforms is highly valued. Strong problem-solving abilities, eagerness to learn new technologies, and effective communication skills help new grads excel in collaborative and fast-paced team settings. These competencies are crucial for adapting to real-world projects, contributing effectively to technical teams, and building a successful early career trajectory.

What is a Computer Science New Grad job?

A Computer Science New Grad job is an entry-level position designed for recent graduates with a degree in computer science or a related field. These roles typically focus on software development, data analysis, cybersecurity, or IT support, depending on the company. Employers seek candidates with strong programming skills, problem-solving abilities, and knowledge of industry-standard tools and technologies. New grads often receive mentorship and training to help them transition into professional environments.

What are popular job titles related to Computer Science New Grad jobs in Detroit, MI? For Computer Science New Grad jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Computer Science New Grad jobs in Detroit, MI look for? The top searched job categories for Computer Science New Grad jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Computer Science New Grad jobs? Cities near Detroit, MI with the most Computer Science New Grad job openings:
Computer Science New Grad jobs near you
Infographic showing various Computer Science New Grad job openings in Detroit, MI as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $110,226 per year, or $53 per hour.
Senior AI/ML Scientist

Senior AI/ML Scientist

General Motors

Milford, MI • On-site

Full-time

Posted 21 days ago

General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 304 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers

Job description

Job Description
The Role:
As an Artificial Intelligence and Machine Learning Scientist, you'll be part of a team that is pioneering the integration of simulation, automation, AI agents, large language models (LLMs), and machine learning into critical systems for vehicle design, calibration, and performance. You will work cross-functionally with engineers, data scientists, simulation specialists, domain experts and platform teams to define and execute high-impact AI/ML initiatives. Your role will blend hands-on development, technical direction-setting, and mentorship, helping GM scale next-generation capabilities.
What You'll Do:
  • Lead and/or support the integration of AI/ML into core engineering tools and simulation frameworks, ensuring robustness, interpretability, and physical relevance of outputs.

  • Translate complex engineering needs into actionable AI/ML solutions, balancing innovation with stability and traceability.

  • Use data analytics and signal processing to analyze simulation output data

  • Develop custom feature extraction methods for predictive modeling - used in optimizations.

  • Apply statistical methods, ML, Big data analytics, anomaly detection methods, and clustering to uncover patterns

  • Work with large scale data sets and collaborate with subject matter experts to incorporate physical interpretations of insights

  • Work collaboratively with a team of specialists ranging from data scientists, simulation experts and calibration technical specialists to cohesively build new capabilities into our existing Co-Simulation (Digital Twin) framework.

  • Lead and/or support the development and maintenance of cloud and/or on-prem databases.

  • Define strategies for large-scale data ingestion, embedding generation, retrieval tuning, and prompt optimization in production environments.

  • Establish and champion engineering best practices, coding standards, and documentation norms for AI/ML systems across teams.

Your Skills and Abilities (Required Qualifications):
  • Bachelor's degree in Computer Science, Engineering, or Mathematics

  • Proficiency in modern programming languages such as Python and C/C++ (JavaScript optional depending on your stack), with strong foundations in object-oriented design and software architecture.

  • 5+ years of experience developing and deploying machine learning or deep learning systems in production environments or 5+ years working in LLM development, NLP, or AI-driven automation.

  • Solid understanding of data science, big-data workflows, and applied statistics; familiarity with signal-processing techniques is a plus.

  • Strong experience in major ML frameworks and toolchains (e.g., PyTorch, TensorFlow, HuggingFace Transformers, Scikit-learn, XGBoost)

  • Demonstrated experience with transformer architectures, LLMs, AI agents, or models integrated with simulation workflows.

  • Experience with retrieval-augmented generation (RAG), prompt engineering, and embedding optimization.

  • Excellent problem-solving skills with the ability to thrive in a demanding, fast-paced work environment.

  • Strong interpersonal and communication skills and a willingness to collaborate cross-functionally with different teams.

What Can Give You a Competitive Edge (Preferred Qualifications):
  • Master's or PhD in Computer Science, Engineering, Mathematics

  • Experience in automotive or physical system simulation domains.

  • Familiarity with co-simulation frameworks, physical modeling tools (e.g., Simulink, AMESIM), or automotive calibration workflows.

  • Knowledge of optimization techniques (e.g., PSO, GD) applied to AI-simulation or engineering workflows.

  • Experience with MLOps practices, including containerized deployment (Docker, Kubernetes), CI/CD pipelines, and cloud-native model serving.

  • Experience building scalable ML systems or full-stack AI pipelines using modern frameworks (e.g., FastAPI, Ray, cloud services).

  • Willingness to learn and continue developing knowledge in an up-and-coming field.

  • Visionary thinking: You identify and pursue novel AI/ML applications in engineering workflows.

  • Strategic ownership: You drive initiatives from concept to integration, influencing cross-org direction.

  • Cross-domain fluency: You connect simulation, embedded systems, and data science to deliver tangible value.

  • Commitment to mentorship: You uplift others and scale your expertise across the team.

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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