Research Engineer

About the CompanyModels 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 research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner’s Fallacy).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 office 4 days a week.About the RoleAs 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.About YouBachelor’s degree or equivalent practical experience4+ years of experience in an industry research lab or equivalent academic experienceStrong background in machine learning systems, including distributed training of large models and ML performance optimizationDeep understanding of ML and AI models, particularly foundation models, how they are built, trained, and usedStrong foundations in software engineering and empirical researchExperience contributing to the research community through open-source projects and or publications at top-tier conferences such as CVPR, NeurIPS, ICCV or ECCV, BMVCExperience working across the research-to-product pipeline in industry or academic research labsAbility to work independently and collaboratively with excellent communication and presentation skillsPhD in Computer Science, Machine Learning, or a related technical field preferredCompensationAt 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.Our benefits are built to support your well-being and growth:100% covered health benefits (medical, vision, and dental).401(k) plan with a generous 4% company match.Unlimited PTO policyPaid 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.LocationRedwood CityEmployment TypeFull timeDepartmentResearch