Software Engineer, Model Optimization
Burlingame, CA
Meta
Giving people the power to build community and bring the world closer together
Meta is looking for software engineers to play a pivotal role designed to further enhance and elevate our AI inference infrastructure. As a member of our team, you will play a significant role in improving the latency and power consumption of our AI models and in building user facing APIs for our ML engineers. Your experience will enable us to reach new heights in enabling efficient model inference. The position requires a combination of expertise in machine learning and software engineering.Software Engineer, Model Optimization Responsibilities
70,67 $/hour to 208.000 $/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.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
- Fine tune, quantize and deploy ML models on-device across phones, AR and VR devices.
- Optimize inference run-time for latency and power consumption
- Enable efficient inference on GPUs
- Build tooling to develop and deploy efficient models for inference.
- Partner with teams across meta reality labs to optimize key inference workloads.
- Optimizing machine learning model inference on NVIDIA GPUs.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Proven record of training, fine tuning, optimizing models and inference run-time
- Specialized experience in the following machine learning domains: runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development
- Master/PhD degree in Computer Science, Computer Engineering
- 3+ years of experience on accelerating DL models for on-device inference
- Familiarity with on-device inference platforms (ARM, Qualcomm DSP)
- Experience with CUDA.
70,67 $/hour to 208.000 $/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.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Category:
Engineering Jobs
Tags: APIs Computer Science CUDA Engineering GPU Machine Learning ML models Model inference PhD Physics PyTorch VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
Region:
North America
Country:
United States
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