Software Engineer, Systems ML

Meta; Olympia (WA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams, focusing on AI infrastructure and systems. The role involves applying infra techniques to optimize intelligent ML systems across Meta products, with opportunities to mentor and lead cross-team efforts.

Required expertise includes C/C++ or Python, ML/DL domains like hardware accelerators, GPU architecture, and ML frameworks such as PyTorch. We offer multiple locations across the United States.

Qualifications

• Bachelor's degree in CS/related field or equivalent practical experience.
• Specialized experience in hardware accelerators, GPU arch, ML systems or AI infra.
• Experience developing AI-system infrastructure in C/C++ or Python.

Responsibilities

• Apply AI infrastructure and hardware acceleration techniques to build and optimize ML systems.
• Set goals for project impact, AI system design, and infrastructure efficiency.
• Collaborate with partners to deliver impact via data-driven analysis.
• Drive large efforts across multiple teams and define evaluation benchmarks.
• Mentor engineers and researchers to uplift engineering quality.

Skills

C++ programming

Python programming

AI infrastructure

ML systems

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorRT

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. Technical leadership experience

2. Experience with distributed systems or on-device algorithm development

3. Experience with recommendation and ranking models

4. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

6. 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 Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. 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].