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Facebook Research Engineer Core ML - Monetization AI United States, California, Sunnyvale 735826623
17.04.2025
Research Engineer, Core ML - Monetization AI Responsibilities
- Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques.
- Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability.
- Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding.
- Design and implement generative modeling solutions for data augmentation.
- Research and develop graph-aware large language models.
- Develop and deploy AutoML pipelines.
- Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason.
- Use causal learning to identify and understand the cause and effect of relationships across data.
- Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains.
- Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models.
Minimum Qualifications
- Research experience in deep learning, reinforcement learning, natural language processing, computer vision, recommendations, ranking, search, or related areas.
- Experience holding an industry, faculty, or government researcher position.
- Programming experience in Python and hands-on experience with frameworks such as PyTorch.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Preferred Qualifications
- Master's degree or PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field.
- First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
- Experience taking ideas from research to production.
- Experience working and communicating cross functionally in a team environment.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.
About Meta
$56.25/hour to $173,000/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 at Meta.
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