Software Engineer, Systems ML

Meta; New York (NY); On-site; USD 154,003 - 217,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking an AI Software Engineer to enhance our Research & Development teams. The role focuses on optimizing AI infrastructure and improving machine learning systems that elevate Meta’s product experience.

Candidates should have a strong background in AI frameworks, proficiency in C/C++ or Python, and extensive knowledge in performance optimization. The position offers competitive compensation starting from $154,003/year to $217,000/year plus bonuses and equity.

Qualifications

• Bachelor's degree in Computer Science or a relevant technical field.
• Specialized experience in AI systems, GPU architecture, or machine learning compilers.
• Experience developing AI system infrastructure or algorithms in C/C++ or Python.

Responsibilities

• Apply AI infrastructure techniques to build and optimize ML systems.
• Drive large efforts across multiple teams.
• Mentor engineers and improve engineering quality.

Skills

AI infrastructure

C/C++ or Python

Machine learning frameworks

Data-driven analysis

Education

Bachelor's in Computer Science or relevant field

7+ years of experience for Bachelor's

4+ years of experience for Master's

3+ years of experience for PhD

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

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

1. Experience with distributed systems or on-device algorithm development
2. Experience with recommendation and ranking models
3. Technical leadership experience
4. A Bachelor's degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master's degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
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

$154,003/year to $217,000/year + bonus + equity + benefits

Industry

Internet

Equal Opportunity

Meta is proud to be an Equal Employment Opportunity and Affi... (eternal inclusive statement continues here with no emojis or symbols).

Accommodations

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].