Software Engineer, Systems ML

Meta; Oklahoma City (OK); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web.

We are hiring in multiple locations. Responsibilities include advancing AI infrastructure and collaborating with teams to drive measurable impact, mentoring engineers and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• Specialized experience in hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.
• Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.

Responsibilities

• Apply relevant AI infrastructure and hardware acceleration techniques to build and optimize intelligent ML systems.
• Set goals related to project impact, AI system design, and infrastructure/developer efficiency.
• Influence partners to deliver impact through data-driven analysis.
• Drive large efforts across multiple teams.
• Define use cases and develop benchmarks to evaluate approaches.
• Apply in-depth knowledge of how ML infra interacts with other systems.
• Mentor other engineers/research scientists and improve engineering quality.

Skills

AI infrastructure

GPU architecture

ML frameworks

PyTorch

Technical leadership

Education

Bachelor's degree in Computer Science/Computer Engineering or equivalent

Tools

C/C++

Python

Job description

Summary:

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.

Required Skills:

Software Engineer, Systems ML Responsibilities:

1. Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
2. Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
3. Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
4. Drive large efforts across multiple teams
5. Define use cases, and develop methodology & benchmarks to evaluate different approaches
6. Apply in depth knowledge of how the ML infra interacts with the other systems around it
7. Mentor other engineers / research scientists & improve the quality of engineering work in the broader team

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2. Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design
3. Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python

Preferred Qualifications:

Preferred Qualifications:

1. Master/PhD degree in Computer Science, Computer Engineering
2. Technical leadership experience
3. Experience with distributed systems or on-device algorithm development
4. Experience with recommendation and ranking models
5. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
6. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
7. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Public Compensation:

$183,997/year to $257,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Aff… Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].