AI Research Engineer, VLLM (vision large language models) - Generative AI

The Rundown AI, Inc.; Menlo Park (CA); On-site; USD 7,000 - 208,000; Full time

Job summary

A leading company in AI research is seeking a Research Engineer to join their innovative team. The role involves developing vision large language models and advancing multimodal reasoning. The ideal candidate will have a strong background in AI, software development, and a passion for research.

Benefits

Bonus

Equity

Benefits

Qualifications

• 3+ years of experience in industry, academia, or government research roles.
• Publications in machine learning, computer vision, NLP, or audio.

Responsibilities

• Lead and execute on developing scalable data curation and model development systems.
• Collaborate within a large team and mentor other team members.

Skills

Problem-Solving

Python

Software Development

Education

Bachelor's degree in Computer Science

Master's degree in AI

PhD in AI

Tools

PyTorch

Job description

Meta is seeking a Research Engineer to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs, with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI, and model controllability. The ideal candidate will have an interest in producing and applying new science, systems, and technologies to help develop and responsibly release vision large language models.

AI Research Engineer, VLLM (vision large language models) - Generative AI Responsibilities:

1. Lead, collaborate, and execute on developing scalable and effective data curation, model development, and evaluation systems that advance multimodal reasoning and generation research.
2. Work towards long-term ambitious research and development goals, while identifying intermediate milestones.
3. Design experiments, write reusable code, run evaluations, and organize results.
4. Collaborate within a large team and mentor other team members, fostering healthy cross-functional collaboration.
5. Prioritize research and development that can be applied to Meta's product development.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
• Master's degree in AI, computer science, or related fields.
• 3+ years of experience in industry, academia, or government research roles.
• Publications in machine learning, computer vision, NLP, or audio.
• Experience in software development and executing complex experiments with large AI models and datasets.
• Work authorization in the country of employment, maintained throughout employment.

Preferred Qualifications:

• Industry experience in generative AI and LLM research.
• Strong problem-solving skills, with the ability to evaluate solutions and tradeoffs.
• Proficiency in Python and PyTorch (or similar frameworks).
• Publication record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).
• PhD in AI, computer science, or related fields.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. From Facebook's launch in 2004 to apps like Messenger, Instagram, and WhatsApp, Meta has empowered billions worldwide. Moving beyond 2D screens, Meta is exploring immersive experiences like augmented and virtual reality to shape the future of social technology. Join us to help build a future beyond what digital connection makes possible today.

Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics. We consider qualified applicants with criminal histories where permitted by law. Meta participates in the E-Verify program where required. We may use AI and machine learning in our hiring process.

We are committed to providing accommodations for candidates with disabilities. Contact us at [e-mail] for assistance.

Compensation:

$70.67/hour to $208,000/year + bonus + equity + benefits. Compensation varies based on skills, qualifications, experience, and location. Benefits details are available at Meta.