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Ai Phd Jobs (NOW HIRING)

TekAssembly

Neuro-Symbolic AI Manager

Santa Clara, CA · On-site

PhD required in Computer Science, Artificial Intelligence, Data Science, or a closely related ... Deep understanding of Neuro-Symbolic AI, symbolic reasoning, knowledge representation, and hybrid ...

Weekday AI

Mathematics PhD AI Trainer

$70 - $140/hr

... AI-generated proofs and solutions for accuracy, rigor, and logical soundness . * Provide structured feedback to refine and strengthen mathematical reasoning models. Ideal Qualifications * Recent PhD ...

Weekday AI

Physics AI Trainer (PhD)

$70 - $85/hr

... AI model performance in Physics domain. You will be evaluating advanced math tasks and solutions and provide clear, written feedback Requirements Requirements: Education : PhD in Physics from a top ...

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Ai Phd information

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$86.5K

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$160.5K

How much do ai phd jobs pay per year?

As of Sep 7, 2026, the average yearly pay for ai phd in the United States is $126,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,500.00 per year, depending on experience, location, and employer.

What is the difference between Ai Phd vs Machine Learning Engineer?

AspectAi PhdMachine Learning Engineer
Required CredentialsPhD in AI, Computer Science, or related fieldBachelor's or Master's in CS, Data Science, or related field; some roles prefer PhD
Work EnvironmentResearch labs, academia, R&D departmentsIndustry companies, tech firms, startups
Employer & Industry UsageUniversities, research institutions, R&D divisionsTech companies, finance, healthcare, e-commerce
Common Search & ComparisonYesYes

While both Ai Phd and Machine Learning Engineer roles involve working with AI and machine learning technologies, Ai Phd positions are typically research-focused, often in academia or R&D labs, requiring advanced degrees. Machine Learning Engineers usually work in industry, applying algorithms to real-world problems, often with a bachelor's or master's degree. The choice depends on whether you prefer research or practical application in your career.

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Ai Phd jobs near you
Infographic showing various Ai Phd job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $126,499 per year, or $60.8 per hour.

HPC and AI (PhD) - Engineer

Advanced Micro Devices, Inc

Austin, TX • On-site

$147K/yr

Full-time

Posted 7 days ago

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.
At AMD, we believe technology has the power to solve the world's most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.
Whether you're designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we'll advance your career.
HPC & AI Engineer (PhD)
SOFTWARE SYSTEMS DESIGN ENGINEER
The Role:
AMD's server software and solutions engineering team is seeking a senior engineer to lead the enablement and optimization of HPC and artificial intelligence (AI) solutions on AMD EPYC processors. This role requires deep expertise in x86 architecture and hands on experience with HPC applications, AI frameworks, and models and their deployment at production level clusters. You will collaborate with product, marketing, and silicon development teams to shape strategies for performance optimization, competitive analysis, and end-customer application optimization. This position is based in Santa Clara or Austin.
The Person:
A highly motivated and passionate professional with deep technical expertise and a proven track record, eager to work with cutting-edge technologies in a fast-paced environment. The ideal candidate is a strong team player and thrives in collaboration and innovation, playing a crucial role in optimizing and showcasing the full capabilities of AMD products through advanced software and solutions, while actively influencing the next generation of product development.
Preferred Experience:
  • Comprehensive understanding of x86 computing architecture
  • Proven expertise in software-level code optimization and tuning.
  • Strong familiarity with system level profiling (uProf/Vtune/etc) and interpretation of perf metrics.
  • Well versed with the current and emerging AI tools such as claude, curser.
  • Contribution to big HPC code bases in CPU/GPU is a plus.

Academic Credentials:
MS, or PhD in Computer Science or a related equivalent
Location:
Austin, TX
Santa Clara, CA
This role is not eligible for visa sponsorship.
#LI-LM1
#LI-HYBRID
Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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