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Senior Machine Learning Engineer


Posted on 6/27/2024



201-500 employees

AI-driven preclinical R&D platform

AI & Machine Learning
Data & Analytics


Remote in Canada

Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
Natural Language Processing (NLP)
  • Minimum 3, ideally 5+ years of experience working as an ML engineer
  • Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area
  • Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques
  • Mastery of several ML frameworks and libraries
  • Extensive experience with Python and PyTorch
  • Experience with graph machine learning and practical applications thereof
  • Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python
  • Experience with data manipulation and processing, such as SQL, Cypher or Pandas
  • Experience working in cross-functional teams with product managers, scientists, project managers, engineers from other disciplines
  • Outstanding verbal and written communication skills
  • Analyse and manipulate a large, highly-connected biological knowledge graph
  • Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies
  • Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data
  • Deliver robust, scalable and production-ready ML models
  • Architect and design ML solutions
  • Collaborate with teammates from other functions
  • Provide technical leadership on Knowledge Enrichment projects
  • Ensure adoption of ML best practices and state of the art ML approaches within your team(s)
  • Participate in various agile rituals and related practices

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