AI Research Scientist - Language - MRS AI
Meta
AI Research Scientist - Language - MRS AI
Job Description
The MRS AI Knowledge team is at the forefront of innovation in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are committed to revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to pushing the boundaries of recommendation systems to deliver exceptional user experiences across Facebook, Instagram, Threads, and more.
Locations
- Bellevue, WA, USA
- Menlo Park, CA, USA
- New York, NY, USA
Salary
147,000 - 208,000 USD / yearly
Estimated Salary Rangehigh confidence
185,000 - 285,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience (degree in Computer Science)
- 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 (degree in Computer Science)
- Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields (degree in Computer Science)
- Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics (experience)
- Direct experience in generative AI and LLM research (experience)
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment (experience)
Preferred Qualifications
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward (experience)
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python (experience)
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) (experience)
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) (experience)
- Experience working and communicating cross functionally in a team environment (experience)
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources (experience)
Responsibilities
- Collaborate, and execute on research that pushes forward the state of the art in large language model research
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Contribute to publications and open-sourcing efforts
- Help identify long-term ambitious research goals as well as intermediate milestones
- Prioritize research that can be applied to Meta's product development
Tags & Categories
AI Research Scientist - Language - MRS AI
Meta
AI Research Scientist - Language - MRS AI
Job Description
The MRS AI Knowledge team is at the forefront of innovation in content understanding, user understanding, retrieval, and ranking. As a key driver of Meta's app growth, we are committed to revolutionizing recommendation systems by leveraging the latest advancements in AI, including Large Language Models (LLMs) and generative AI. We're dedicated to pushing the boundaries of recommendation systems to deliver exceptional user experiences across Facebook, Instagram, Threads, and more.
Locations
- Bellevue, WA, USA
- Menlo Park, CA, USA
- New York, NY, USA
Salary
147,000 - 208,000 USD / yearly
Estimated Salary Rangehigh confidence
185,000 - 285,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience (degree in Computer Science)
- 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 (degree in Computer Science)
- Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields (degree in Computer Science)
- Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics (experience)
- Direct experience in generative AI and LLM research (experience)
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment (experience)
Preferred Qualifications
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward (experience)
- Experience with deep learning frameworks (such as pytorch, tensorflow) and Python (experience)
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV) (experience)
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) (experience)
- Experience working and communicating cross functionally in a team environment (experience)
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources (experience)
Responsibilities
- Collaborate, and execute on research that pushes forward the state of the art in large language model research
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
- Contribute to publications and open-sourcing efforts
- Help identify long-term ambitious research goals as well as intermediate milestones
- Prioritize research that can be applied to Meta's product development
Tags & Categories