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Phd Computer Science Jobs in Utica, MI (NOW HIRING)

Stellantis

Principal AI Engineer

Auburn Hills, MI

PhD or additional advanced degree in AI, Machine Learning, Computer Science, Statistics, or related fields. * Experience building meaningful visualizations and explaining model behavior and results.

New

Qualcomm

Senior/Staff System Architect

Novi, MI · On-site

OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Preferred Qualifications: * Advanced degree of ...

Stellantis

Network Specialist

Auburn Hills, MI · On-site

Master or PHD in Computer Engineering, Computer Science, or Electrical Engineering. * Designed EE platforms or components for Service Oriented Architectures (SOA). * Track record experience with the ...

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Phd Computer Science information

See Utica, MI salary details

$51.5K

$75.8K

$89.4K

How much do phd computer science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for phd computer science in Utica, MI is $75,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,700.00 and $85,300.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What cities near Utica, MI are hiring for Phd Computer Science jobs? Cities near Utica, MI with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Utica, MI as of June 2026, with employment types broken down into 3% As Needed, 66% Full Time, 28% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $75,819 per year, or $36.5 per hour.

Principal AI Engineer

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

We are seeking a Principal AI Engineer with deep, hands‑on experience in Large Language Models (LLMs) to lead the design, development, and deployment of enterprise‑grade AI‑powered automation systems across the organization.

This role goes beyond experimentation. You will own and deliver production‑scale AI solutions, analyze complex internal workflows, identify high‑value automation opportunities, and architect intelligent systems that materially improve efficiency, accuracy, and scalability.

This position is ideal for a seasoned engineer (10+ years) who combines strong technical depth, architectural judgment, and a product mindset, and who enjoys building practical, high‑impact AI systems used at scale.

KEY RESPONSIBILITIES:
  • Lead the design, development, and deployment of LLM‑based automation solutions across multiple business functions.
  • Work closely with cross‑functional teams to define problem statements, data requirements, system boundaries, and solution approaches.
  • Architect and implement end‑to‑end LLM systems, including:
    • Prompt pipelines
    • Agent‑based architectures
    • Retrieval‑Augmented Generation (RAG) systems
    • Internal AI services and APIs
  • Integrate commercial and open‑source LLMs (e.g., OpenAI, Anthropic, Databricks, open‑source models) into enterprise systems and products.
  • Drive model evaluation, prompt optimization, and system reliability improvements based on real‑world usage.
  • Establish and maintain monitoring, logging, and evaluation frameworks for LLM‑driven applications.
  • Partner with product, operations, security, and engineering teams to map workflows and identify high‑ROI automation opportunities.
  • Ensure all AI solutions meet enterprise standards for data privacy, security, compliance, and governance.
  • Act as a technical mentor and thought leader, setting best practices for LLM engineering and applied AI.
  • Stay current with advances in LLMs, agent frameworks, AI infrastructure, and applied research—and translate them into pragmatic solutions.

Basic Qualifications:

  • Bachelor’s degree in AI, Machine Learning, Computer Science, Statistics, or a related field
  • A minimum of 8 years of professional experience in software engineering, AI, or machine learning, including a minimum of 3 years of significant hands‑on work on LLM‑based systems.
  • Proven, production experience with Large Language Models, including:
    • Prompt engineering and prompt optimization
    • Model integration and orchestration
    • Evaluation and reliability tuning
  • Strong proficiency in Python and modern AI/ML frameworks and libraries (e.g., PyTorch, TensorFlow, LangChain, similar ecosystems).
  • Solid background in deep learning and applied machine learning.
  • Strong analytical and mathematical foundation relevant to ML systems.
  • Experience designing systems that balance performance, scalability, cost, and accuracy.
  • Ability to communicate complex technical concepts clearly to technical and non‑technical stakeholders.
  • Strong written and spoken English.
Preferred Qualifications:
  • Master’s degree in AI, Machine Learning, Computer Science, Statistics, or a related field (or equivalent professional experience).
  • PhD or additional advanced degree in AI, Machine Learning, Computer Science, Statistics, or related fields.
  • Experience building meaningful visualizations and explaining model behavior and results.
  • Background in data mining, analytics, or decision‑support systems.
  • Experience with regression, supervised and unsupervised learning, and applied ML in production contexts.
  • Prior experience with automotive, IoT, or large‑scale industrial data.
  • Contributions to open‑source projects or published technical work.
  • Experience operating AI systems under enterprise governance, security, and compliance constraints.

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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