Vice President of Engineering

ML and Data

Confirmed live in the last 24 hours



201-500 employees

AI-driven preclinical R&D platform

AI & Machine Learning
Data & Analytics


Remote in Canada

Required Skills
  • 8+ years of experience in a senior engineering management role at a Senior Director or VP level
  • 10+ years of total experience leading large engineering teams (50+ members) across different functions and shipping data and/or software products at scale
  • Deep knowledge and experience in DataOps, MLOps, modern data architecture, cloud-based data, ML tech stacks, and ML advancements
  • Experience with architectural designs, technology exploration, and innovation management
  • Proven track record building large-scale data platforms in a data-heavy, B2B environment
  • Experience with building ML-based solutions and data pipelines for internal or commercial data products
  • Demonstrated experience with managing priorities and implementing effective agile PDLC/SDLC practices at scale
  • Ability to establish effective working partnerships across cross-functional teams in both technical and non-technical settings
  • Manage definition, execution, and delivery of all technical goals in the areas of data and ML engineering
  • Create alignment across ML and data engineering; prioritize and direct urgency and importance of high-value problems following our roadmap
  • Partner with engineering leadership during quarterly and yearly planning meetings, advocating for strategies and objectives required to achieve key ML and data goals
  • Be an external thought leader—taking part in customer-facing engagements and internal & external tech due diligence to inform key priorities and goals for the ML and data teams
  • Be an internal technology promoter and take an active part in strategic decision-making
  • Act as an expert in trends and best practices in ML and data to inspire innovation and adoption of the latest engineering practices
  • Lead world-class teams of directors, managers, and engineers to support our growth and deliver key ML and data products
  • Guide and foster growth by overseeing the organizational design structure for your teams
  • Play an active role in supporting and improving our hiring practices, ensuring that we’re best positioned for our growth objectives
  • Commit to advancing diversity, equity, and inclusion (DEI) in the engineering division of BenchSci

At BenchSci, employees have the unique opportunity to work on ASCEND, a cutting-edge preclinical R&D platform known for its advanced application of AI and visual machine learning. This technology empowers scientists to enhance research efficiency and experiment success in decoding complex biological data. The company's robust platform, backed by prestigious investors like F-Prime and Gradient Ventures, is trusted and utilized by over 50,000 scientists globally, making BenchSci a leader in the biotechnology research sector.

Company Stage

Series D

Total Funding



Toronto, Canada



Growth & Insights

6 month growth


1 year growth


2 year growth



Remote-first culture

Equity options

15 days vacation + additional day every year

Unlimited flex time

Comprehensive health & dental benefits

Psychotherapist services

Annual Learning & Development budget

Home office set-up budget

Wellness, lifestyle & productivity spending account