Software Engineer, Systems ML

Meta

San Francisco (CA)

On-site

USD 184,000 - 257,000

Full time

3 days ago
Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal candidate will apply AI infrastructure and ML system design to advance Meta's products and experiences.

We are hiring in multiple locations and value technical leadership, collaboration across teams, and building scalable AI solutions with hardware acceleration. Candidates with strong C/C++/Python experience will fit well in this role.

Qualifications

  • Bachelor's degree in CS/CE or equivalent practical experience.
  • Specialized experience in ML domains: hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or ML frameworks.
  • Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.

Responsibilities

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

Skills

C/C++
Python
AI infrastructure
GPU architecture
ML systems

Education

Bachelor's degree in CS/CE or equivalent

Tools

PyTorch

Job description

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.

Software Engineer, Systems ML Responsibilities:
  • Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences
  • Goal setting related to project impact, AI system design, and infrastructure/developer efficiency
  • Directly or influencing partners to deliver impact through deep, thorough data-driven analysis
  • Drive large efforts across multiple teams
  • Define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Apply in depth knowledge of how the ML infra interacts with the other systems around it
  • Mentor other engineers / research scientists & improve the quality of engineering work in the broader team
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 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
  • Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python
Preferred Qualifications:
  • Technical leadership experience
  • Experience with distributed systems or on-device algorithm development
  • Experience with recommendation and ranking models
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and Affi… (truncated).

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 accommodations-ext@meta.com.

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

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Software Engineer, Systems ML
Software Engineer, Systems ML

Meta • Seattle (WA)

On-site
USD 184,000 - 257,000
Software Engineer, Systems ML (Technical Leadership)
Software Engineer, Systems ML (Technical Leadership)

Meta • Menlo Park (CA)

On-site
USD 219,000 - 301,000
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • San Francisco (CA)

On-site
USD 183,000 - 257,000
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • Burlingame (CA)

On-site
USD 184,000 - 257,000
Bonus
Equity
Benefits
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • Menlo Park (CA)

On-site
USD 347,000 - 403,000
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • New York (NY)

On-site
USD 183,000 - 257,000
Bonus
Equity
Benefits
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • Seattle (WA)

On-site
USD 183,000 - 257,000
Bonus
Equity
Benefits
Software Engineer, Systems ML Engineering
Software Engineer, Systems ML Engineering

Meta • Menlo Park (CA)

On-site
USD 183,000 - 257,000
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Meta • United States

On-site
USD 183,000 - 257,000
Software Engineer, Machine Learning
Software Engineer, Machine Learning

Jobzhr • New York (NY)

On-site
USD 184,000 - 257,000
Bonus
Equity
Benefits