Full-Time

Staff Engineer

Machine Learning, NLP

Posted on 6/13/2024

BenchSci

BenchSci

201-500 employees

AI-driven platform for preclinical research

No salary listed

Senior, Expert

Toronto, ON, Canada

Category
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Agile
Python
Pytorch
SQL
Machine Learning
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 our workflows by keeping up to date with the latest optimizations in libraries such as PyTorch, and expand our 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 to 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.

BenchSci operates in the biotechnology sector, focusing on preclinical research and development. Its main product, ASCEND, is a platform that uses artificial intelligence and machine learning to extract and organize data from various sources, helping scientists generate hypotheses and identify risks in their research. BenchSci stands out by providing an intuitive and easily deployable tool that enhances research efficiency for scientists and research organizations. The company's goal is to improve the R&D process, leading to more effective scientific outcomes.

Company Size

201-500

Company Stage

Series D

Total Funding

$161M

Headquarters

Toronto, Canada

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • $95M Series D funding boosts BenchSci's AI platform development and market reach.
  • Generative AI integration enhances ASCEND's predictive capabilities for hypothesis generation.
  • Recognition as a Best Workplace for Inclusion attracts top talent and fosters innovation.

What critics are saying

  • 17% workforce reduction may impact morale and innovation at BenchSci.
  • Heavy reliance on external funding poses financial risks if future rounds falter.
  • Rapid team expansion could lead to integration challenges and inefficiencies.

What makes BenchSci unique

  • BenchSci's ASCEND platform uses AI to map disease biology for drug discovery.
  • ASCEND helps scientists identify risks and generate hypotheses in preclinical R&D.
  • BenchSci's AI Reagent Selector improves reagent selection efficiency in drug development.

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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

Growth & Insights and Company News

Headcount

6 month growth

↑ 0%

1 year growth

↑ 0%

2 year growth

↑ 3%
St. Lawyers
Jan 12th, 2024
BenchSci: Severance Packages

January 2024: BenchSci has eliminated 17 per cent of its workforce, or 70 jobs, as it furthers its investment into generative AI.

BenchSci
Nov 28th, 2023
Celebrating Inclusivity: BenchSci has been recognized on the 2023 Best Workplaces(TM) in Inclusion List by Great Places To Work Canada

Benchsci is proud to share that BenchSci is being recognized as a 2023 Best Workplaces(TM) for Inclusion through Great Place to Work!

BenchSci
Jun 6th, 2023
Honoring Pride Month and Announcing BenchSci’s Second Employee Resource Group (ERG)

Recently, BenchSci released its second DEI Year in Review where Benchsci expanded the self-reporting categories that Benchsci share externally.

Medium
Jun 6th, 2023
Revolution in a Petri Dish: Sustainability in Life Sciences | by Generation Investment Management | Generation Investment Management | Jun, 2023 | Medium

Aligned with this, Generation Investment Management LLP is excited to announce its $40m investment in BenchSci, which you can read more about here.

BetaKit
May 25th, 2023
BenchSci closes $95M CAD Series D to expand AI drug-discovery platform

Toronto-based BenchSci, which helps pharmaceutical firms accelerate R&D using AI, has announced $95 million CAD in Series D funding.

INACTIVE