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

The Rundown AI, Inc.; Bellevue (WA); On-site; USD 140,000 - 208,000; Full time

Job summary

A leading technology company is seeking a Research Engineer for their Vision Large Language Model team. The ideal candidate will have a strong background in AI, with responsibilities including data curation, model development, and mentoring. This role offers a competitive salary and opportunities for growth in a dynamic environment focused on innovative technologies.

Qualifications

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

Responsibilities

• Lead and execute on developing scalable data curation and model development.
• Contribute to experiments by designing details, writing code, and organizing results.
• Mentor team members and collaborate cross-functionally.

Skills

Python

PyTorch

Machine Learning

Computer Vision

NLP

Education

Bachelor's degree in Computer Science

Master's degree in AI

PhD in AI

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 us 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 push the state of the art in multimodal reasoning and generation research.
2. Work towards long-term ambitious research and development goals, while identifying intermediate milestones.
3. Contribute to experiments by designing experimental details, writing reusable code, running evaluations, and organizing results.
4. Work with a large team.
5. Mentor other team members and play a significant role in healthy cross-functional collaboration.
6. 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 an industry, faculty, or government researcher position.
• Publications in machine learning, computer vision, NLP, or audio.
• Experience writing software and executing complex experiments involving large AI models and datasets.
• Must obtain and maintain work authorization in the country of employment.

Preferred Qualifications:

• Industry research and development experience in generative AI and LLM research.
• Experience solving complex problems and evaluating alternative solutions, tradeoffs, and perspectives.
• Fluency in Python and PyTorch (or equivalent).
• 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 to apps like Messenger, Instagram, and WhatsApp, Meta empowers billions worldwide. Moving beyond 2D screens, Meta is exploring immersive experiences like augmented and virtual reality to shape the future of social technology. Our team helps build a future beyond today's digital connections—beyond screens, distance, and even the rules of physics.

Meta is proud to be 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, in accordance with applicable laws. Meta participates in the E-Verify program where required. We may leverage AI and machine learning in our hiring processes.

Meta is committed to providing accommodations for candidates with disabilities. If you need assistance, contact [e-mail].

Compensation:

$70.67/hour to $208,000/year + bonus + equity + benefits. Compensation depends on skills, qualifications, experience, and location. Benefits information is available at Meta. Details listed reflect base pay only and do not include bonuses, equity, or incentives.