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$154k–$217k/yr
Full-time
bachelor degree
Bonus, Equity, Benefits
Posted 38d ago
~40 hrs/week
Responsibilities
Design and optimize large-scale machine learning training and inference systems to power Meta's products. Collaborate with research and product teams to improve AI infrastructure efficiency and resolve performance bottlenecks across the ML stack.
Requirements
Requires a Bachelor's degree in Computer Science or a related field and 6+ years of experience in software engineering focused on ML systems or high-performance computing. Proficiency in C++, Python, and distributed computing frameworks like PyTorch or TensorFlow is essential.
Full job description
Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that powers Meta's products at massive scale. In this role, you will design and develop high-performance ML systems, working across the full stack from model training and inference pipelines to hardware-aware optimizations. You will collaborate with researchers, platform engineers, and product teams to accelerate ML workloads and improve the efficiency of AI infrastructure that serves billions of users.
Responsibilities
Design, build, and optimize large-scale ML training and inference systems, including distributed computing frameworks and hardware-accelerated pipelines
Develop and maintain high-performance ML infrastructure components in C++ and Python, ensuring reliability, scalability, and low-latency execution
Identify and resolve performance bottlenecks across the ML stack using profiling, instrumentation, and benchmarking tools
Architect and evaluate trade-offs in ML system design, including memory bandwidth, compute utilization, and I/O throughput
Partner with research and product teams to translate ML model requirements into efficient infrastructure solutions
Define and track system-level metrics and service level objectives to maintain production reliability of ML serving systems
Lead technical design reviews and contribute to engineering standards for ML systems across the organization
Mentor other engineers on ML infrastructure best practices, debugging methodologies, and performance optimization techniques
Drive adoption of AI-augmented development workflows to expand engineering productivity and broaden the scope of deliverables
Contribute to staged rollout strategies using feature flagging and experimentation frameworks to safely deploy ML system changes
Minimum Qualifications
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
6+ years of experience in software engineering with a focus on machine learning systems, AI infrastructure, or high-performance computing
Experience developing and optimizing ML training or inference pipelines using frameworks such as PyTorch, TensorFlow, or equivalent
Experience with distributed computing architectures and large-scale systems design for ML workloads
Experience programming in C++ and Python for performance-critical systems
Experience using profiling and performance analysis tools to identify and resolve bottlenecks in ML or compute-intensive systems
Preferred Qualifications
Experience optimizing large-scale ranking and recommendation model inference on AI accelerator hardware
Experience with hardware-software co-design, including numerics optimization and SIMD or vectorization techniques
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with GPU programming using CUDA, ROCm, or equivalent hardware accelerator kernel development
Experience with ML compiler technologies such as MLIR, LLVM, TVM, XLA, or IREE
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
$154,003/year to $217,000/year + bonus + equity + benefits
Related keywords
Systems MLAI InfrastructureHigh-Performance ComputingDistributed ComputingInference PipelinesModel TrainingC++PythonPyTorchTensorFlowCUDAROCmMLIRLLVMTVMXLA
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Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies 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.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US