Simplify Logo

Full-Time

Staff Engineer

Machine Learning, NLP, Remote

Posted on 6/13/2024

BenchSci

BenchSci

201-500 employees

AI-driven preclinical R&D platform

AI & Machine Learning
Data & Analytics

Senior, Expert

Remote in Canada

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Agile
Python
Pytorch
SQL
Pandas
Natural Language Processing (NLP)
Requirements
  • At least 8 years of professional experience applying ML techniques to solve business problems, with at least 2 years at a Staff Engineer level.
  • Strong experience with NLP and LLMs.
  • Strong experience with Python and programming fundamentals.
  • Extensive experience with PyTorch.
  • Track record of successfully delivering robust, scalable and production-ready ML models.
  • Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training and evaluation, to deployment and maintenance.
  • Experience with data manipulation and processing, such as SQL or pandas.
  • Experience with Cloud solutions and Cloud architecture, in particular with MLOps, DataOps and data warehouses.
  • Experience leading technical design discussions, writing and reviewing technical design documents and providing technical guidance and directions.
  • Ability to reason about trade-offs and make technical decisions under a certain level of uncertainty.
  • Strong cross-team communication and collaboration skills.
  • A growth mindset and a constant desire to learn.
Responsibilities
  • Join the Platform Architecture Group, collaborate with Staff Engineers and architects and provide high-level end-to-end solution design for the company’s mission critical initiatives.
  • Design ML Architecture across multiple ML and Data Teams in order to build robust, scalable and production-ready solutions that enhance the speed and quality of life-saving research.
  • Write, review and approve ML and Data technical documentation to ensure quality and accuracy of performance and results.
  • Contribute to the ML and Data roadmap by ensuring project proposals are both highly impactful and technically feasible.
  • Continuously improve workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand usage of modern tools such as DVC.
  • Own ML solutions and long-term technical investments that will drive innovation at BenchSci.
  • Lead technical design discussions, apply best practices, diagnose problems and lead the resolution while fostering an inclusive environment.
  • Participate and contribute to Agile grooming, planning and estimation.
  • Promote the definition of coding guidelines and raise the bar for code quality using tools such as SonarCloud.
  • Provide guidance to senior engineers and help foster a culture of continuous growth.
  • Work cross functionally with different stakeholders including BenchSci's R&D scientists to learn, model, and capture the nuances of biology.

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

$169.7M

Headquarters

Toronto, Canada

Founded

2015

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

-10%

2 year growth

27%

Benefits

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