AI Research Scientist, VLM (vision language models)
Meta
AI Research Scientist, VLM (vision language models)
Job Description
• Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. • Work towards long-term ambitious research goals, while identifying intermediate milestones. • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. • Work with a large team. • Contribute to publications and open-sourcing efforts. • Mentor other team members. Play a significant role in healthy cross-functional collaboration. • Prioritize research that can be applied to Meta's product development.
Locations
- Bellevue, WA, USA
- Redmond, WA, USA
- Menlo Park, CA, USA
- Burlingame, CA, USA
- New York, NY, USA
Salary
Estimated Salary Rangemedium confidence
18,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- multimodal reasoning researchintermediate
- multimodal generation researchintermediate
- research leadershipintermediate
- collaborationintermediate
- long-term goal settingintermediate
- milestone identificationintermediate
- experiment designintermediate
- reusable code writingintermediate
- evaluation runningintermediate
- results organizationintermediate
- teamworkintermediate
- publication contributionintermediate
- open-sourcingintermediate
- mentoringintermediate
- cross-functional collaborationintermediate
- research prioritizationintermediate
- product-applied researchintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience A PhD in AI, computer science, or related technical fields Publications in machine learning, computer vision, NLP, speech Experience writing software and executing complex experiments involving large AI models and datasets Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Direct experience in generative AI and LLM research. Fluent in Python and PyTorch (or equivalent) (experience)
Responsibilities
- Push state of the art in multimodal generative AI Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants Mentor and work with AI/ML engineers to find a path from research to production
Tags & Categories
AI Research Scientist, VLM (vision language models)
Meta
AI Research Scientist, VLM (vision language models)
Job Description
• Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research. • Work towards long-term ambitious research goals, while identifying intermediate milestones. • Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results. • Work with a large team. • Contribute to publications and open-sourcing efforts. • Mentor other team members. Play a significant role in healthy cross-functional collaboration. • Prioritize research that can be applied to Meta's product development.
Locations
- Bellevue, WA, USA
- Redmond, WA, USA
- Menlo Park, CA, USA
- Burlingame, CA, USA
- New York, NY, USA
Salary
Estimated Salary Rangemedium confidence
18,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- multimodal reasoning researchintermediate
- multimodal generation researchintermediate
- research leadershipintermediate
- collaborationintermediate
- long-term goal settingintermediate
- milestone identificationintermediate
- experiment designintermediate
- reusable code writingintermediate
- evaluation runningintermediate
- results organizationintermediate
- teamworkintermediate
- publication contributionintermediate
- open-sourcingintermediate
- mentoringintermediate
- cross-functional collaborationintermediate
- research prioritizationintermediate
- product-applied researchintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience A PhD in AI, computer science, or related technical fields Publications in machine learning, computer vision, NLP, speech Experience writing software and executing complex experiments involving large AI models and datasets Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). Direct experience in generative AI and LLM research. Fluent in Python and PyTorch (or equivalent) (experience)
Responsibilities
- Push state of the art in multimodal generative AI Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants Mentor and work with AI/ML engineers to find a path from research to production
Tags & Categories