Research Engineer

June 8

🏢 In-office - Bay Area

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DatologyAI

better data, better models, better business

2 - 10

Description

• 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

Requirements

• Bachelor’s degree or equivalent practical experience • Have 3-4 years of experience in an industry research lab or equivalent academic experience • Strong background in machine learning systems, such as distributed training of large models and/or ML performance optimization • Knowledge of ML/AI applications and models, especially foundation models, how they are constructed, and how they are used • Experience contributing to research communities, including open-source research projects or publishing at conferences (e.g., CVPR, NeurIPS, ICCV/ECCV, BMVC) • Strong foundations in software engineering and empirical research • Ability to work separately and as part of a team. Excellent communication and presentation skills PhD in Computer Science with an emphasis on Machine Learning, or a related technical field (preferred) Experience working in an industry or academic research lab, focusing on multiple aspects of the research to product pipeline (preferred)

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents • 401(k) plan with a generous 4% company match • Unlimited paid time off (PTO) policy – we encourage employees to take a minimum of 2 weeks per year to rest and recharge • Annual $2,000 wellness stipend to support your physical and mental well-being • Annual $1,000 learning and development stipend to foster continuous growth and skill acquisition • Daily lunches and snacks are provided in our office! • Relocation assistance for employees moving to the Bay Area to help ease the transition We believe in investing in our employees and providing them with the resources they need to thrive both personally and professionally.

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