About Databook
Databook is the world's first AI-powered enterprise customer intelligence platform. Dubbed "Moneyball for Sales", Databook was founded in 2017 to give enterprise sales representatives and go-to-market teams a differentiating advantage. Today, leading enterprise companies rely on Databook to help their teams engage as experts - improving the buying experience for customers and accelerating revenue acquisition. Our customers include Microsoft, Salesforce, Databricks, and more. We are a Series B company backed by Bessemer Ventures, DFJ Growth, M12 - Microsoft's Venture fund, Salesforce Ventures and Threshold Ventures. We are a customer-focused, innovative, and collaborative learning organization. We are headquartered in Palo Alto, CA with a distributed team working across the globe.
The Opportunity
We are seeking a Senior Software Engineer to join our Machine Learning team. The ideal candidate will have a strong background in machine learning, NLP, and generative AI technologies, with substantial experience in developing and deploying ML-driven products. This role requires a deep understanding of the latest AI technologies, including transformer-based models and multi-GPU setups.
Key Responsibilities
Lead the design, development, and deployment of machine learning models, particularly for natural language processing and generative AI applications.
Rapidly prototype new solutions and transition successful prototypes to scalable, production-ready systems.
Collaborate with cross-functional teams to integrate ML technologies into our account insights tool.
Stay abreast of industry trends and advancements in AI and machine learning to continuously improve our product offerings.
Mentor junior engineers and collaborate with the ML team to drive projects to completion.
About you
Master's degree in Computer Science, Artificial Intelligence, or a related field; PhD preferred.
Minimum of 5 years of experience in machine learning and NLP, with a strong focus on generative AI.
Proven track record of training transformer-based models and implementing multi-GPU setups.
Familiarity with pytorch/tensorflow, numpy and training on AWS / GCP cloud instances.
Experience in leading technical teams and projects is highly desirable.
Demonstrated capability in fast prototyping and delivering ML solutions that have impacted business outcomes.
Strong communication and collaboration skills, with a preference for candidates who can work onsite 3 days per week.
Why Join Us?
Be part of a pioneering team dedicated to making a significant impact in the sales technology space.
Work in a dynamic, collaborative environment that fosters innovation and continuous learning.
Enjoy competitive compensation, comprehensive benefits, and flexible working arrangements.
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