3 days ago
Burlingame, CA, USA +3 moreMid Level
H1B sponsor
Base Salary
$122k - $181k/yr
Responsibilities
- Design, develop, and deploy large-scale machine learning models and AI pipelines for ranking, recommendation, and generative AI systems.
- Own the technical design of AI/ML systems, including modeling approaches, training strategies, inference frameworks, and architectural trade-offs.
- Profile and optimize ML training and serving pipelines to reduce latency and improve compute efficiency.
- Build model evaluation frameworks using offline metrics, online experimentation, and production monitoring.
- Collaborate with product managers, data scientists, and research scientists to formulate ML problems and improve product metrics.
- Build reusable AI tooling and infrastructure components and improve model development and deployment workflows.
- Apply privacy-by-design principles and integrity safeguards while meeting data governance and compliance requirements.
- Mentor engineers and contribute to recruiting and technical community programs.
- Use AI-augmented development workflows across data analysis, product thinking, and operational readiness.
- Drive staged model rollouts with feature flagging and A/B testing, monitor regressions, and lead incident retrospectives.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience; the degree must be completed before joining Meta.
- At least 4 years of experience designing, training, and deploying machine learning or deep learning models in production.
- Experience with PyTorch or TensorFlow and proficiency in Python for model development and data processing.
- Experience with large-scale distributed training, model optimization techniques such as quantization, distillation, and pruning, and ML serving infrastructure.
- Experience designing and running online A/B experiments to evaluate model impact.
- Experience communicating technical decisions and trade-offs through design documents and postmortems to technical and non-technical stakeholders.
- Preferred experience includes cross-team ML platform initiatives, large language models, generative AI, foundation-model fine-tuning and alignment, internet-scale recommendation or ranking systems, and ML observability tooling.
Benefits
- Base salary is listed as $121,992/year to $181,000/year, with bonus, equity, and benefits.
Categories
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.