Chief Technology Officer

Published
September 12, 2021
Location
Menlo Park, CA
Category
Job Type

Description

Roles and Responsibilities

  • • Lead and manage a team of ML scientists and ML engineers 
  • • Work closely with Engineering (front and back end) and ensure effective collaboration and material handoff between the ML and Engineering teams
  • • Help Engineering team in pivotal decision making concerning infrastructure, architecture and scalability
  • • Work closely with the Product team to understand the product aims and incorporate them in ML strategy and development
  • • Communicate deep scientific concepts to Commercial and Product teams and to clients and partners
  • • Be part of the leadership team to decide on strategies for short term and long term needs of the company and product roadmap
  • • Maintain and scale the existing technologies and build on it
  • • Keep abreast of latest developments in science, biology, medicine and ML as they relate to metabolic syndrome
  • • Collaborate on study design in for Company and Company clients to feed into products
  • • Strategize and execute on IP development and manage  the company’s IP portfolio
  • • Align the company's technology resources with the organization's short- and long-term goals
  • • Serve on the executive committee to align technology goals to other departmental and organizational objectives

General Qualifications

  • • Experience working in early stage startups - from building and scaling to going through fundraising.
  • • Masters or PhD in CS, EE or related computational fields (i.e. Physics, Computational Biology, Math)
  • • At least 3 years of experience of working at an intersection of Machine learning, Product development and Software development teams. 
  • • Great communication and leadership skills and the ability to work in a fast-paced environment.
  • • Practical experience with software architecture and the ability to engage with an Engineering team to help build and scale the existing infrastructure.
  • • Experience working directly with front-end and back-end engineers.
  • • Ability to adapt to new technologies and to learn new scientific and business concepts.

Machine Learning Qualifications

  • • Extensive experience with the complete cycle of developing AI models and features from conceptualization of an idea, implementation, evaluation, and productization and delivery to the user.
  • • At least 3 years of managing a team of Senior Machine Learning Scientists and Engineers.
  • • Solid knowledge of analysis of multi-modal and time-variant signals
  • • In-depth knowledge of start-of-the-art Machine Learning techniques and theory,  particularly Deep Learning.
  • • Experience building recommender systems and personalized models.
  • • Good understanding of modern NLP in the wake of self-attentive transformers.

Useful to have

  • • Experience with healthcare data especially time-series data
  • • Experience fundraising with VCs, identifying collaborative opportunities with prospects, and defining projects with partners
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