Director of Applied ML/NLP
As the Director of Applied AI/ML at Databook, you will play a pivotal role in overseeing the execution and delivery of ML projects within our product roadmap. You will work closely with the CTO, the head of Product, and engineering leaders to define the scope of work and drive successful execution. We are seeking a highly technical individual with a proven track record of delivering customer-facing ML functionality into production. The ideal candidate will have experience in PyTorch or TensorFlow, setting up ML systems in AWS, and a deep understanding of modern NLP, transformers, large language models, and generative AI. This role will require a hands-on approach, where you will actively contribute to the development and implementation of ML solutions across the entire engineering team.
Specifically, you'll be:
- Leading the execution and delivery of ML projects in alignment with our product roadmap, working closely with cross-functional teams to ensure successful outcomes. Demonstrate a clear leadership brand and build followership across the business.
- Collaborating with the CTO, head of Product, and engineering leaders to define project requirements, resource allocation, and timelines.
- Developing and implementing ML models and algorithms, with a focus on customer-centric functionality, using PyTorch or TensorFlow.
- Designing and building scalable ML systems on AWS, ensuring robustness, performance, and reliability.
- Staying abreast of the latest advancements in ML, deep learning, NLP, transformers, large language models, and generative AI, and assess their potential application within our product offering.
- Driving continuous improvement in ML processes, methodologies, and best practices to optimize efficiency and quality.
- Providing technical leadership and mentorship across the engineering team, fostering a culture of innovation and collaboration.
- Acting as a subject matter expert on ML-related topics, effectively communicating complex concepts to both technical and non-technical stakeholders.
- 8+ years in software with 5+ in an ML/AI domain and 3+ in ML/AI leadership.
- Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree or Ph.D. in a relevant discipline is highly desirable.
- Proven track record of successfully delivering customer-facing ML functionality into production within a startup environment.
- Strong technical proficiency in at least one of PyTorch or TensorFlow, with hands-on experience in developing and deploying ML models.
- Expertise in setting up ML systems in AWS, including familiarity with relevant AWS services and best practices.
- In-depth knowledge of ML techniques, such as deep learning, NLP, transformers, large language models, and generative AI.
- Strong problem-solving and analytical skills, with the ability to identify and address technical challenges effectively.
- Excellent communication, collaboration and planning skills, with the ability to work effectively across cross-functional teams.
- Previous experience in a similar role, overseeing ML projects and driving successful execution.
- A passion for staying updated on the latest advancements in ML and AI and a strong drive to innovate and deliver high-quality solutions.
Join us and enjoy these perks!
- Salary range $180-220K with annual performance bonus
- Individual and family coverage for medical, dental, vision and life insurance
- Short term and long term disability coverage
- Mental health care support through Ginger
- Flexible time off policy plus holidays
- 401k retirement plan with a 3% employer matching contribution
- Employee referral bonus program
- $750 budget for home office equipment
- $500 annual learning stipend to spend on books, courses, etc.
- Complimentary subscription to Masterclass
Databook is the pioneer and leader in Strategic Relationship Management (SRM). The company’s award-winning SRM platform leverages advanced AI and NLP to empower the world’s largest B2B sales teams to create, manage, and maintain strategic relationships at scale. The platform ingests and interprets billions of financial and market data signals to generate actionable sales strategies that connect the seller’s solutions to a buyer’s financial pain and urgency. On average, Databook clients achieve 5x more customer meetings, 3x more pipeline, 2.5x larger deals and 1.5x faster cycle time.
*We will consider remote work for candidates in Arizona, California, Colorado, Connecticut, Florida, Illinois, Iowa, Massachusetts, Minnesota, New York, Ohio, Oregon, Pennsylvania, Utah, Tennessee, Texas, Washington and Wisconsin. Remote work requires periodic travel to our headquarters in Palo Alto, CA every 2-3 months.
Databook provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, pregnancy, military and veteran status, age, physical and mental disability, genetic characteristics, or any other considerations made unlawful by applicable state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoﬀ, recall, transfer, leaves of absence, compensation and training. Databook expressly prohibits any form of workplace harassment based on race, color, religion, sex, national origin, pregnancy, military and veteran status, age, physical and mental disability, or genetic characteristics.