AI Research Engineer: End-to-End Multimodal Training

LanceDB; United States; On-site; USD 160,000 - 210,000; Full time

Job summary

LanceDB is seeking an AI Research Engineer to join the research team, focusing on end-to-end training flows across different AI domains, and showcasing how LanceDB accelerates research pipelines. This role emphasizes impact, experimentation, and contributing to the product with a researcher's perspective.

You will publish models and research papers, collaborate closely with engineering and product, and help raise awareness of workflow features like distributed indexing and blob-based data

Qualifications

• 5+ years of experience in training deep learning models, including video/world models.
• Proven track record of training SOTA models in industry.
• Strong OSS contributions and maintenance experience.
• Experience with PyTorch, distributed training, and tensor parallelism.
• Ability to map feedback to deliverables and prioritize work.

Responsibilities

• Demonstrate end-to-end training flows across domains.
• Publish models and papers on LanceDB blog and conferences.
• Collaborate with engineering and product for researcher perspective.
• Benchmark and compare training workflows across industry verticals.
• Build and maintain OSS repos and tooling.

Skills

Deep learning

PyTorch

Distributed training

Video models

World models

Open source

Research publication

Tools

GitHub

Docker

Tensor Parallelism

Job description

LanceDB is seeking an AI Research Engineer to join the research team, focusing on end-to-end training flows across different AI domains, and showcasing how LanceDB accelerates research pipelines. This role emphasizes impact, experimentation, and contributing to the product with a researcher's perspective.

You will publish models and research papers, collaborate closely with engineering and product, and help raise awareness of workflow features like distributed indexing and blob-based data