About the Company
Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.
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. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.
We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.
This role is based in Redwood City, CA. We are in person 4 days a week and 1 from home and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.
About the Role
We'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 On
Embed 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.
About You
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.
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.