This is a role that we are not actively hiring for at this time, however we are always interested to hear from and connect with talented individuals. If you choose to submit your interest for this role, your information will be reviewed by our recruiting team and we will reach out to you if your background matches an opening at this time or in the future.
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 AWS, Qualtrics, Microsoft, Salesforce, SAP, Databricks, Splunk 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 have a friendly, entrepreneurial and collaborative culture. We are headquartered in Mountain View, CA with a distributed team working across the globe.
About Our Technology Team
The Engineering team at Databook brings together collaborative and technically passionate individuals to deliver innovative customer intelligence solutions that drive real value for our clients. Led by past Google and Salesforce engineers, this group offers an opportunity to explore all aspects of the engineering lifecycle, to be close to the client, and to make a real difference. We give our engineers a lot of autonomy to own and solve complex, novel problems - from system design to natural language processing (NLP) and machine learning (ML). The Engineering team offers a place where engineers can collect an abundance of experience and practice their leadership skills; all in a hyper-growth context.
The Opportunity
We’re seeking a Senior Machine Learning Engineer to join the newly formed Office of the Chief Technology Officer (CTO) that is based in the Bay Area, CA. You will be responsible for end-to-end, applied Machine Learning (ML); analyzing specific use cases, understanding how Machine Learning can best be applied, establishing evaluations and baselines, sourcing data, training & improving models and deploying appropriate ML infrastructure. The role will liaise closely with engineering to integrate ML based services into the product, support those services and transfer knowledge.
What you’ll be doing
- Investigate impactful opportunities to apply ML to the product.
- Collect and document requirements.
- Define appropriate evaluations for each ML use case.
- Source data and establish baselines.
- Propose and evaluate appropriate modelling techniques.
- Write production quality code to integrate data collection, model training and model serving.
- Track state-of-the-art developments in NLP and assess their value to Databook.
About You
- 5+ years hands-on professional experience developing, evaluating and deploying end-to-end ML solutions.
- Expertise using Scikit Learn and at least one of Tensorflow, Keras, PyTorch, JAX or similar frameworks.
- Expertise in production quality Python.
- Familiarity with the techniques used to manage and treat very large datasets.
- Proficient understanding of code versioning tools, such as Git.
- Comfortable with command-line tools/scripting (Bash, Git, cloud CLIs, etc.).
Ideal candidates will also have:
- Experience working with BERT-like, T5, dual-encoder deep-learned models.
- Familiarity and/or expertise with one or more of decomposition, clustering, ensembling, entity linking, topic modeling or knowledge graphs..
Join us and enjoy these perks!
- Competitive salary with bonus
- Equity
- Medical, Dental and Vision care contributions
- 401k Retirement Plan
- 4 weeks vacation plus holidays
- Employee referral bonus program
- $500 learning stipend to spend on books, courses or other training materials that help you develop skills relevant to your role or professional development
- Complimentary subscription to Masterclass
- Budget for home office equipment
- 100% reimbursement for all work-related books
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.
*We will consider remote work for candidates in Arizona, California, Colorado, Florida, Illinois, Massachusetts, New York, Tennessee, Texas, Virginia and Washington. Remote work requires periodic travel to our headquarters in Mountain View, CA every 2-3 months.
