2 days ago
Base Salary
$154k - $217k/yr
Responsibilities
- Own a significant area of the ads-ranking stack end to end, including model architecture, features, training data, evaluation, and production rollout.
- Lead deep-learning architecture work for recommendations, including sequence models, multi-task and multi-objective learning, transfer learning, and generative recommenders.
- Define evaluation methodology and guardrails covering offline/online correlation, calibration, holdouts, long-term effects, and incrementality.
- Drive value-model and auction-adjacent modeling with auction, bidding, and pacing teams.
- Improve GPU-scale training and serving efficiency through model/system co-design and inference optimization.
- Set technical direction, drive consensus, and lead cross-functional partnerships.
- Improve engineering and modeling quality through code and design reviews, testing, staged rollouts, and monitoring.
- Own reliability and responsible-AI practices for a major ranking surface.
- Mentor engineers, participate in recruiting and interviews, and improve team workflows.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- 6+ years of programming experience in a relevant programming language, or 3+ years of experience plus a PhD.
- At least 1 year of hands-on experience in machine learning, recommendation systems, LLMs, or artificial intelligence.
- Experience with scripting languages such as Python, JavaScript, or Hack.
- Experience developing machine-learning models at scale from inception through business impact.
- Knowledge of developing and debugging in C/C++ and Java, or experience with Python, Perl, PHP, and/or shell scripts.
- Track record of setting technical direction, driving consensus, and leading successful cross-functional partnerships.
- Experience designing, building, or deploying recommendation systems such as collaborative filtering, content-based, hybrid, or large-scale personalization approaches.
- Experience shipping high-quality, highly reliable work and improving quality through code reviews, testing, rollout, monitoring, and proactive changes.
- Preferred: experience with ads ranking, monetization, auction dynamics, bidding, pacing, value modeling, or advertiser-facing optimization.
- Preferred: experience with distributed training, large-scale low-latency model serving, sequence modeling, multi-task or multi-objective optimization, and transfer learning.
- Preferred: experience with GPU scaling, model/system co-design, CUDA, Triton, or inference optimization.
- Preferred: publications, patents, or open-source contributions in recommendations or LLMs, and experience with privacy-preserving or aggregated measurement and delayed-conversion modeling.
- Preferred: master’s degree or PhD in Computer Science or another ML-related field.
Benefits
- Base salary is listed as $154,003/year to $217,000/year, plus bonus, equity, and benefits.
Tech Stack
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.