AI Research Engineer

The role

You will perform open ended research focused on end to end training flows across different AI domains. You will showcase how LanceDB can be used to accelerate research flows.

What you will do

• Show how Lancedb can be used for training models end to end from curation to modeling across industry verticals
• Compare the Lancedb stacked workflow with existing standard training flows with well designed and replicable experiments
• Provide core content and work cross-function to increase awareness for workflow specific features
• Publish models and research papers on LanceDB blog platform, social media, and in AI conferences
• Partner closely with engineering and product to provide feedback from a researcher's perspective

Required qualifications

• 5+ years of experience in training deep learning models
• Proven track record of training SOTA models in an industry vertical
• Strong experience in building and maintaining popular OSS repos
• Demonstrated ability to map user feedback from noise to key deliverables
• Excellent prioritization skills
• Demonstrate execution efficiency
• Strong sense of product GTM
• Demonstrate ability to balance strategic thinking with hands-on execution
• Passion for staying up-to-date with SOTA AI research and trends

Nice to have

• Experience with training transformer based models, and post-training/alignment
• Hands on experience with PyTorch, distributed training, and tensor parallelism
• 5+ years of experience, including working at startups

About the company

LanceDB is the AI-native Multimodal Lakehouse. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB.