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

Preferred : • Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field. • Prior experience at an autonomous vehicle, robotics, or hard-tech ...

Preferred : • Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field. • Prior experience at an autonomous vehicle, robotics, or hard-tech ...

... PhD degree in Statistics, Economics, Computer Science in an appropriate field of study * Experience with Google Cloud Platform (GCP) and programming/statistical software utilizing large datasets

Data Scientist

Dearborn, MI · On-site

$162K/yr

... PhD degree in Statistics, Economics, Computer Science in an appropriate field of study * Experience with Google Cloud Platform (GCP) and programming/statistical software utilizing large datasets

Minimum Qualifications PhD in mechanical engineering or related area. Special Instructions to ... Computer Science (SECS), Mechanical Engineering (ME) department More About Oakland University The ...

Senior Technical Consultant

Novi, MI · On-site

$128K - $199K/yr

Alternatively, employer will accept a PhD degree in Computer Science, Engineering [any] or related field and no experience or a Bachelor's degree in Computer Science, Engineering [any] or related ...

Master's or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering). * Technical skills including: * Advanced proficiency in Python libraries such as Scikit ...

PhD degree in data science, computer science, or related field * Experience with agent frameworks (LangChain, Semantic Kernel, AutoGen) * Experience with RAG, vector databases, or memory architecture

PhD degree is preferred in quantitative fields, such as Data Science, Engineering, Operations Research, Industrial Engineering, Statistics, Mathematics, Computer Science, or related field * Knowledge ...

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field. * Experience: 3+ years of experience developing production bioinformatics pipelines.

Bioinformatics Scientist

Ann Arbor, MI · On-site

$170K - $190K/yr

PhD in Bioinformatics, Computer Science, Statistics, Biology, Biochemistry, Physics, or a closely related field.Experience: 3+ years of experience developing production bioinformatics pipelines.

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Phd Computer Science information

See Plymouth, MI salary details

$53.8K

$79.1K

$93.3K

How much do phd computer science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for phd computer science in Plymouth, MI is $79,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $89,000.00 per year, depending on experience, location, and employer.

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 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.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles, often requiring advanced skills in algorithms, data analysis, and programming. While it offers opportunities for high-level positions and expertise, it typically involves several years of study and may not be necessary for most industry jobs, which often value practical experience and skills. The decision depends on career goals and the desire for research or teaching roles.

What can I do after a PhD in computer science?

A PhD in computer science prepares individuals for careers in academia, research, or advanced industry roles such as data scientist, machine learning engineer, or software architect. Graduates often pursue postdoctoral research, work in R&D departments, or obtain certifications in specialized tools and programming languages to enhance their expertise.

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

A PhD in computer science qualifies individuals for advanced roles such as research scientist, data scientist, machine learning engineer, or university professor. These positions often require strong analytical skills, programming expertise, and knowledge of algorithms, data structures, and AI tools. Graduates may work in academia, industry research labs, or technology companies focusing on innovation and development.

What job categories do people searching Phd Computer Science jobs in Plymouth, MI look for?

The top searched job categories for Phd Computer Science jobs in Plymouth, MI are:

What cities near Plymouth, MI are hiring for Phd Computer Science jobs?

Cities near Plymouth, MI with the most Phd Computer Science job openings:

Infographic showing various Phd Computer Science job openings in Plymouth, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $79,114 per year, or $38 per hour.

Director, Data Science

May Mobility

Ann Arbor, MI • On-site

Full-time

Re-posted 3 days ago


Job description

Job Summary:
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. The Director, Data Science will lead the team responsible for turning the data generated by the fleet, simulation environment, and ML systems into insights that enhance the efficiency and safety of autonomous services.
Responsibilities:
• Set and own the data science strategy across simulation and synthetic data, ML evaluation (perception, prediction, planning), fleet operations analytics, and the data platform that supports them; translate that strategy into a 12–24 month roadmap with measurable milestones.
• Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility to win against AV, robotics, and AI competitors.
• Partner with Engineering, Product, Safety, and Operations leaders to define release criteria, performance metrics, and ODD-expansion gates; use data to make the business case for what we deploy, where, and when.
• Drive ML and analytics applications end-to-end: dataset curation, scenario coverage, modeling, offboard evaluation, productionization, and continuous monitoring of fleet performance in the wild.
• Establish measurement and experimentation standards across the company — including before/after analyses for stack changes, A/B-style comparisons in simulation, and statistically credible reporting on real-world incidents.
• Lead team-wide quality activities including design and code reviews; hold the bar on engineering rigor for production data science systems.
• Track and trend technical performance of the autonomy stack in the field; surface root causes, prioritize fixes with engineering, and represent fleet-data findings to executives, regulators, and partners.
• Provide technical guidance to Engineering and Operations leaders on issue diagnosis, resolution, and the ML changes most likely to move our key safety and service metrics.
• Represent May Mobility's data science work externally where appropriate — through publications, conference talks, partner reviews, and recruiting.
Qualifications:
Required:
• 8+ years of industry experience in data science, machine learning, or applied research, with at least 4 years managing senior individual contributors and front-line managers.
• Direct experience leading data science or ML work in at least one of the following domains: autonomous vehicles or ADAS, robotics, large-scale computer vision systems, simulation and synthetic data, reinforcement learning, or large-scale ML platforms.
• Demonstrated track record leading a team of 10 or more through a major delivery — for example, a production launch, a major model rollout, a regulatory milestone, or a significant ODD or product expansion.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience.
• Strong programming skills in Python; working familiarity with the production ML stack used in modern AV/robotics environments (e.g., PyTorch or TensorFlow, distributed training, dataset and feature pipelines, experiment tracking).
• Experience setting measurement and experimentation standards inside an engineering or product organization, with credible examples of metrics or evaluation frameworks the team adopted and kept using.
• Experience operating in cross-functional partnership with engineering, product, safety, and operations leaders — comfortable both defending technical positions and adjusting them in light of business or safety constraints.
Preferred:
• Master's or PhD in Computer Science, Robotics, Statistics, EE, Mathematics, or a related quantitative field.
• Prior experience at an autonomous vehicle, robotics, or hard-tech company that has deployed products to real customers (not only research demos).
• Experience with simulation, synthetic data generation, sim-to-real transfer, or scenario-based evaluation for AV or robotics.
• Familiarity with safety-case construction, ODD definition, or regulator engagement for autonomous systems.
• Publications or conference contributions in top-tier ML, CV, or robotics venues (e.g., NeurIPS, ICML, CVPR, ICRA, RSS).
• Experience with C/C++ systems and/or GPU programming sufficient to engage credibly with onboard ML and infrastructure teams.
• Demonstrated ability to mentor and grow junior managers and senior individual contributors into bigger roles.
Company:
May Mobility is a manufacturing firm that designs and develops autonomous technology vehicles for self-driving transportation solutions. Founded in 2017, the company is headquartered in Ann Arbor, USA, with a team of 201-500 employees. The company is currently Growth Stage.