Research Engineer
At DatologyAI, we've built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment.
This role is based in Redwood City, CA. We are in office 4 days a week.
As a Research Engineer, you will play a crucial role in conducting and enabling cutting-edge research and translating it into our core product pipeline. You will work closely with other members of the technical staff to develop and improve state-of-the-art data curation strategies. Your technical skills will accelerate our research and ensure that our product remains at the forefront of innovation.
What You'll Work On
You'll build and scale the data processing and curation pipelines that operate over massive language, vision, and multimodal datasets, and make them fast, reliable, and cheap to run.
You'll design the experimentation infrastructure that lets scientists iterate quickly at scale, turning a good idea into a running experiment in hours.
Our work is guided by concrete customer needs and product outcomes. You'll take research results and harden them into production-grade systems that customers depend on.
You'll profile and optimize large-scale training and data workloads, because at frontier scale, performance and cost are research constraints.
About You
3+ years building ML systems, data infrastructure, or large-scale distributed applications.
Strong software engineering fundamentals, fluency in Python, and 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.
Enough machine learning depth to collaborate substantively with researchers, not just implement their specs.
A demonstrated track record of shipping systems that others rely on, whether through production infrastructure, open-source tools, or other artifacts.
Compensation
At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $180,000 to $300,000.
Starting pay is based on job-related skills, experience, qualifications, and interview performance.
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.