Senior Machine Learning Engineer

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.