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Research Engineer
3 months ago
Our company's mission is to empower businesses to train their own models using their specific data, rather than relying on generic datasets. We are committed to leveraging cutting-edge research to develop tools that help enterprises select the most suitable data for training, ultimately leading to higher quality models at lower costs.
Our team at DatologyAI is made up of experts who have spearheaded deep learning research, launched successful startups, and developed tools for enterprise machine learning.
After securing an initial funding round of $11.65 million followed by a $46 million Series A funding led by Felicis Ventures, our investors include Radical Ventures, Amplify Partners, Microsoft, Amazon, and renowned figures in the industry like Jeff Dean, Geoff Hinton, Yann LeCun, and Elad Gil.
With a total funding of over $57.5 million, we are rapidly expanding our team and computational resources to revolutionize data curation. Come join us in pushing the boundaries of AI possibilities.
Based in Redwood City, CA, we have an in-office presence five days a week and provide relocation assistance for new hires. Visa sponsorship is available for selected candidates for this position.
About the Roles
As a Research Engineer at DatologyAI, you will play a vital role in driving innovative research and integrating it into our core product development. Collaborating closely with our technical team, you will help enhance our data curation strategies, ensuring our product remains at the forefront of innovation.
About You
For success in this role, we are looking for individuals with the following qualifications:
• Bachelor's degree or equivalent practical experience.
• 3-4 years of industry research lab experience or similar academic background.
• Proficiency in machine learning systems, especially in distributed training and optimization of large models.
• Understanding of ML/AI applications and models, particularly foundation models.
• Track record of contributing to research communities through open-source projects or conference publications (e.g., CVPR, NeurIPS, ICCV/ECCV, BMVC).
• Strong software engineering and empirical research skills.
• Ability to work independently and collaboratively in a team, with excellent communication and presentation abilities.
Preferred qualifications include:
• PhD in Computer Science with a focus on Machine Learning or related field.
• Experience in industry or academic research labs, covering various stages from research to product development.
Compensation and Benefits
At DatologyAI, we are committed to maintaining fair compensation aligned with market standards. We offer a comprehensive benefits package to support the well-being and professional growth of our employees:
• Health, dental, and vision insurance for employees and dependents.
• 401(k) plan with a 4% company match.
• Unlimited paid time off policy to encourage regular breaks.
• Annual stipends for wellness and learning & development.
• Daily office lunches and snacks.
• Relocation assistance for employees transitioning to the Bay Area.
We strongly believe in investing in our team members and equipping them with the necessary resources to succeed both personally and career-wise.
