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.
We've raised over $57M in funding from top investors like Radical Ventures, Amplify Partners, Felicis, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. 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 RoleWe're looking for an experienced Forward Deployed AI Engineer to be an early member of our customer-facing technical team. In this role, you’ll work closely with our most strategic customers to understand their data curation needs and ensure they can successfully deploy and integrate DatologyAI’s platform. You will be responsible for designing and implementing scalable solutions tailored to customer needs in cloud, on-prem, or hybrid environments. You’ll troubleshoot complex issues across data pipelines, model training workflows, and infrastructure, ensuring our technology delivers maximum impact. As an early hire in this function, you will help define best practices for deployment, automation, and support while shaping how we work with customers at scale.
What You’ll Work OnEmbed deeply with strategic customers to understand their data curation needs, business challenges, and technical requirements in detail.
Prepare detailed scopes of work and project plans for proof-of-concept prototypes and full production deployments.
Work hands-on with customers' technical teams as a technical expert and trusted advisor to drive projects to completion on their infrastructure.
Troubleshoot and resolve technical challenges related to data pipelines, model training, and infrastructure scalability.
Collaborate closely with GTM, Engineering, and Research teams to ensure seamless customer experiences, project success, and actionable product feedback.
Provide hands-on support, training, and documentation to enable customer success.
Have 4+ years of experience in software or customer engineering roles, with a strong emphasis on customer-facing engagements.
Have a track record of rapidly prototyping ideas and a willingness to work iteratively with your customers to deliver the right solution that solves their problem.
Strong programming skills in Python (or equivalent), with experience in data processing frameworks (e.g., Spark, Ray, etc).
Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
Experience working with ML/AI workflows, data pipelines, or large-scale data systems is a plus.
Ability to troubleshoot complex systems and work in fast-paced, customer-facing environments.
Excellent communication skills with the ability to translate technical concepts for diverse audiences.
Willingness to travel occasionally to customer sites if required.
At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $280,000 to $320,000 OTE.
The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.
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.
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What We Do
DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.
