Meta
AI Research Scientist, CoreML - Monetization
$184K–$257K
Sunnyvale, CA +4 · Full-time · Posted Oct 16, 2025
- Location
- Sunnyvale, CA
Bellevue, WA
Menlo Park, CA
New York, NY
San Francisco, CA - Experience
- 3+ years of industry research experience.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; PhD in Computer Science, Machine Learning, or a relevant technical field.
- Visa sponsorship
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
About the job
Conduct research and develop generative sequence-learning recommender systems for monetization, translating advances into scalable, efficient production systems.
What you'll do
- Extract meaningful signals from first- and third-party data and advance representation learning.
- Scale solutions to process hundreds of billions of data points while driving algorithmic innovation.
- Productionize research breakthroughs and optimize serving costs.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; PhD in Computer Science, Machine Learning, or a relevant technical field.
- 3+ years of industry research experience in LLM/NLP, computer vision, or related AI/ML model training.
- Technical leadership experience or experience leading complex technical projects end-to-end; peer-reviewed conference publications, including first-authored publications.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
Nice to have
- Track record of impactful research in ranking, retrieval, or recommendation, shown through publications, open-source contributions, or real-world deployments.
- Experience in pre-training, post-training, fine-tuning, causal or sequence learning, classification, neural networks, graph learning, or in-depth content understanding.
Pay
$184,000/year to $257,000/year (base salary)
Tools
LLMs, Python, PyTorch, ICLR, NeurIPS, ICML, KDD, CVPR
AI focus
Research and productionize generative sequence-learning recommender systems, including representation learning and large-scale AI/ML model training for personalized ads.
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