Machine Learning Engineer

About the Company

Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster—we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.

Following our $11.65M Seed round last September, we've raised a $46M Series A led by Felicis Ventures. Our investors include Radical Ventures, Amplify Partners, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. With over $57.5M in total funding, we're rapidly scaling our team and computing resources to revolutionize data curation across modalities.

This role is based in Redwood City, CA. We are in office 4 days a week.

About the Role

We're looking for an experienced Machine Learning Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.

You will contribute to developing our core product, starting from the main data curation pipeline. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. You will have a broad impact over the technology, product, and our company's culture.

What You'll Work On

• Architect, build, and deploy the ML systems and services that power our data curation platform

• Design and implement large-scale data pipelines that curate datasets and make them ready for training cutting-edge models

• Partner with researchers and engineers to bring new features and research capabilities to our customers

• Ensure that our systems are reliable, secure, and worthy of our customers' trust

About You

• 4+ years of experience

• Have meaningful experience with leading and building production ML systems and platforms that deliver on major product initiatives.

• Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challenges

• Have experience and evidence of reading, understanding, and implementing ML research papers

• Proficiency in Python and in the most commonly used tools of the ML & Data Science ecosystem

• Experience maintaining a high-quality bar for design, correctness, and testing.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done

• Experience conducting open-ended research to improve the quality of collected data and running small scale ML experiments

Compensation

At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $180,000 to $250,000.

• The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

Benefits

We offer a comprehensive benefits package to support our employees' well-being and professional growth:

• 100% covered health benefits (medical, vision, and dental).

• 401(k) plan with a generous 4% company match.

• Unlimited paid time off (PTO) policy.

• 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.