Research Engineer

The role

You will conduct cutting-edge research and translate it into the core product pipeline. You will build and scale data processing and curation pipelines for massive language, vision, and multimodal datasets.

What you will do

• Build and scale data processing and curation pipelines for massive datasets
• Design experimentation infrastructure for scientists to iterate quickly at scale
• Harden research results into production-grade systems
• Profile and optimize large-scale training and data workloads

Required qualifications

• 3+ years building ML systems, data infrastructure, or large-scale distributed applications
• Strong software engineering fundamentals
• Fluency in Python
• Hands-on experience with PyTorch
• Experience with distributed data processing and/or distributed training using tools such as Spark, Ray, Dask, or Snowflake
• Comfort operating large-scale compute, including GPU clusters and cloud infrastructure
• Machine learning depth to collaborate substantively with researchers
• Demonstrated track record of shipping systems that others rely on

Benefits

• 100% covered health benefits (medical, vision, and dental)
• 401(k) plan with a generous 4% company match
• Unlimited PTO policy
• Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility
• Annual $2,000 wellness stipend
• Annual $1,000 learning and development stipend
• Daily lunches and snacks are provided in our office
• Relocation assistance for employees moving to the Bay Area

About the company

DatologyAI has built a state of the art data curation suite to automatically curate and optimize petabytes of data. The company has raised $57.5M in Seed and Series A rounds.