ZipRecruiter

Log In

1

Phd Computer Science Jobs in Mesa, AZ (NOW HIRING)

Relativity

Senior Manager, Applied Science

Phoenix, AZ · On-site

A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years in applied AI/ML, including at least 1 year as a people leader.

Relativity

Senior Manager, Applied Science

Phoenix, AZ · On-site

A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years in applied AI/ML, including at least 1 year as a people leader.

Intel

Data Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

... PhD with 2+ yearsof relevant experience in Computer Science, Data Science, Statistics, Electrical Engineering, Industrial Engineering, Mechanical Engineering, or another relevant science or ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...

Master-Electronics

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...

Master Electronics

Data Scientist II

Phoenix, AZ · On-site

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...

IntraEdge

Senior AI/ML & IVR Engineer GCP

Scottsdale, AZ · On-site

$105K - $145K/yr

Bachelor's degree (minimum), Master's or PhD preferred, in Computer Science, Engineering, or related field * 7+ years of experience in AI/ML engineering, cloud platforms, and IVR/conversational ...

Master Electronics

Data Scientist II

Phoenix, AZ

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Advanced degree (Master's or PhD) in a relevant field (Statistics, Machine Learning, AI, Operations ...

previous pagenext page

Showing results 21-40

All JobsPhd Computer Science JobsPhd Computer Science Jobs in Mesa, AZ

Phd Computer Science information

See Mesa, AZ salary details

$56.1K

$82.5K

$97.2K

How much do phd computer science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for phd computer science in Mesa, AZ is $82,462.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $92,800.00 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 are popular job titles related to Phd Computer Science jobs in Mesa, AZ?

For Phd Computer Science jobs in Mesa, AZ, the most frequently searched job titles are:

What job categories do people searching Phd Computer Science jobs in Mesa, AZ look for?

The top searched job categories for Phd Computer Science jobs in Mesa, AZ are:

What cities near Mesa, AZ are hiring for Phd Computer Science jobs?

Cities near Mesa, AZ with the most Phd Computer Science job openings:

Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Mesa, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $82,462 per year, or $39.6 per hour.

Senior Manager, Applied Science

Relativity

Phoenix, AZ • On-site

Other

Posted 7 days ago

Job description

Posting Type

Remote/Hybrid

Job Overview

The Work
Every legal matter is its own experiment. An attorney arrives with a theory of the case; the evidence arrives as hundreds of thousands of documents, sometimes millions, that no one has read and no model has seen. Somewhere in the cross product of the two are the answers that decide lawsuits, investigations, and livelihoods. Finding them quickly and defensibly, with the integrity and credibility attorneys can rely on, is the problem we own. We solve it creatively and rigorously.
Relativity is a data-centered, AI-native legal technology company, and Applied Science builds the AI inside Relativity aiR. We launched aiR in 2023 and have now run commercial generative AI in the legal domain for more than three years, powering work that includes the largest investigations in the world. Our systems are distinguished by the data they operate over (more than 93 petabytes) and the work they have done: over 190 million AI review decisions, backed by more than 1 billion generative sub-analyses in 2026 alone. The team is as distinctive as the data: legal experts, all former litigators, work directly inside Applied Science.
At Relativity, our mission is to Organize data. Discover the truth. Act on it. The Applied Science team serves this mission by building bold and ambitious AI systems. We are curious, dedicated, and humble. We understand complexity, uphold rigor, and measure relentlessly. We build and ship with pace. Above all, we are interdisciplinary collaborators and team players.
We're looking for a Senior Manager, Applied Science to lead a team expanding the aiR agentic harness for greater capability and reliability

Job Description and Requirements

Capable and Reliable

Two requests can look nearly identical and be worlds apart. "See if you can find me an example of this" needs a capable system: it finds the example or it doesn't. "Conduct a reasonable search for any and all documents responsive to this request" is a different kind of promise. Its answer spans a corpus no one will ever read end-to-end. So the system's process, as much as its output, has to earn the trust of the professionals who rely on it.

That property is reliability. It decomposes into consistency, robustness, calibration, and safety: systems that behave tomorrow the way they did today, degrade predictably under stress, know how confident they should be, and check their own work. Before aiR returns an analysis, it validates its citations and runs internal consistency checks; when a check fails, it refuses to answer. It has refused more than a million times so far in 2026, and we count every one as a success: an error caught before it reached a user.

Your team will build for both, and you'll define the standard for how.

What You'll Do

  • Lead and grow a team of applied scientists: hire, coach, set direction, and develop people toward their best work.
  • Set the technical and scientific bar. The work stays hands-on: you'll shape architectures, review designs and evaluations, and dig into hard problems alongside your team, close enough to the science to lead by example.
  • Own AI system readiness end-to-end, from problem framing through evaluation, error analysis, efficacy studies, and production monitoring, so that what ships is dependable and defensible.
  • Choose the right problems. Current examples range from agentic assistants that extend what a legal professional can do, to large-scale review and analysis that must stay reliable across hundreds of thousands of documents per matter. You'll help decide where we invest.
  • Partner with product, engineering, design, customer-facing teams, and the legal experts on the team to take ideas from proof-of-concept to production at scale.
  • Communicate with precision to your team, to leadership, and to customers: translate technical nuance into decisions people can act on, and carry the customer's voice back into the work.
  • Represent Relativity at industry conferences, events, and with customers.

What You Bring

  • A master's or PhD in computer science or another quantitative discipline (or equivalent professional experience), and at least 6 years in applied AI/ML, including at least 1 year as a people leader.
  • Deep applied AI/ML and deployment engineering experience: you've built production-ready AI systems and owned them through their production lifecycle, partnering with engineering teams to keep them running reliably.
  • Fluency with modern generative AI as a component of larger systems, and sound judgment about what it can and cannot do reliably.
  • Machine-learning rigor, grounded in data understanding: careful evaluation, error analysis, and the statistical thinking to draw only the conclusions your data supports.
  • Strong software-engineering judgment and programming skill.
  • An ownership mindset that extends beyond your immediate team.

Nice to Have

  • An interest in legal technology and the justice system.
  • Experience hiring and growing a team.
  • Experience developing information retrieval systems or agentic harnesses.
  • An interest in building reliable AI systems at scale.

Why Relativity Applied Science

This is the place where your curiosity, dedication, and talent will build products that power the pursuit of justice around the world.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$208,000 and $312,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Artificial Intelligence (AI), Business Intelligence (BI), Data Analysis, Database Management, Data Governance, Data Intelligence, Data Visualization, Information Management, Machine Learning (ML), Strategic Planning

Apply