Senior Machine learning Engineer, BenchSci
GraphRAG
+ Equity options
More information about location
AI for biomedical research
Be an early applicant
AI for biomedical research
201-500 employees
Be an early applicant
+ Equity options
More information about location
201-500 employees
Company mission
To exponentially increase the speed and quality of life-saving research by empowering scientists with the world's most advanced biomedical artificial intelligence.
Role
Who you are
- Minimum 3, ideally 5+ years of experience as an ML engineer or data scientist with a proven track record of delivering complex ML projects
- A strong platform-building mindset: Experience building and maintaining ML-powered tools, APIs, or platforms for other developers or internal teams
- Deep, hands-on experience with Graph Data Science (GNNs, link prediction) and Knowledge Graphs (e.g., Neo4j, Neptune) using query languages like Cypher
- Strong, demonstrable experience with LLMs and RAG pipelines, with a specific focus or passion for query generation and retrieval optimization
- Mastery of the Python data science and ML ecosystem (Pandas, PyTorch, scikit-learn) and experience with the full ML development lifecycle. Experience deploying services (e.g., FastAPI, Docker) is a plus
- Degree (preferably PhD or Masters) in Computer Science, Data Science, or a related field
- Excellent communication and collaboration skills, with a customer-centric mindset for understanding and supporting your internal "consumer teams"
What the job involves
- We are looking for a Senior Machine learning Engineer (GraphRAG & Retrieval Tools) to join our Knowledge Graph Retrieval team
- You will help design and build robust, reusable retrieval tools and services that empower consumer teams to leverage our large-scale Knowledge Graph
- You will be building the core platform that powers sophisticated Graph-based Retrieval-Augmented Generation (GraphRAG) and automated querying applications
- You will work alongside some of the brightest minds in tech, enabling state-of-the-art approaches to data retrieval and reasoning
- Your work is at the core of this challenge, ensuring our internal teams can easily and effectively build applications on top of our graph data
- Your primary focus will be to build tools that abstract the complexity of graph traversal and retrieval
- This includes developing sophisticated models for automated querying, creating high-performance retrieval services, and building developer-friendly APIs and libraries
- You are comfortable working in a team that pushes the boundaries of what is possible with cutting-edge ML/AI, challenges the status quo, and is laser-focused on value delivery in a fail-fast environment
- Design, build, and maintain scalable retrieval tools and services (APIs, libraries) for internal consumer teams, focusing on our Knowledge Graph
- Develop and optimize automated querying systems, including Text-to-Query models (e.g., Text-to-Cypher), to translate natural language questions into efficient graph queries, developing Cypher templates and query stitching
- Partner with consumer teams to understand their needs, provide high-quality and well-documented tools, and drive the adoption of your retrieval platform
- Own the end-to-end lifecycle of the ML models that power these tools, from data preparation and training to deployment, monitoring, and iteration
- Collaborate cross-functionally with data engineers, ML engineers, and product managers to build a cohesive and powerful retrieval ecosystem
Salary benchmarks
Our take
Over the past decade, the cost of bringing a drug to market has increased exponentially. But the number of drugs approved has stayed stagnant, leading to a decline in research productivity. Through development of AI-assisted software, BenchSci has allowed scientists to rapidly compute data from scientific journals and product catalogues to dramatically reduce these inefficiencies in the R&D process.
The company offers a lateral solution to traditional, manual data analysis to allow for data leveraging. Plus an automated, comprehensive overview of existing relevant research. These methods have made BenchSci a forerunner in the drug development industry; the company's software is used by leading pharmaceutical companies.
BenchSci continues to invest in its machine learning technology, and in 2023 launched ASCEND. This is software that extracts experimental evidence from internal and external sources to help improve the hit rate of drug trials. It has also raised considerable funds, the latest of which is supporting the expansion of the platform.
Steph
Company Specialist at Welcome to the Jungle
Insights
31% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2023
$68m
SERIES D
Jan 2022
$45.1m
SERIES C
Total funding: $158.2m
Company benefits
- An engaging remote-first culture that hires the best talent from around the world
- Compensation package that includes BenchSci equity options
- Comprehensive health and dental benefits with an emphasis on mental health
- An annual Executive Health Assessment at Medcan for proactive health awareness
- Three weeks of vacation plus an additional day for every completed year
- A $2000 Annual Learning & Development budget
- Generous parental leave benefits with a top-up plan or paid time off options
- Additional time-off: 2 weeks for Winter Holiday, every other Friday in July and August, your birthday, and more!
- A $1000 work from home allowance to make your home setup perfect for you
- An Oculus Quest 2 to connect with your team members in Virtual Reality
- An executive coach for managers to assist in leading high-performing teams
- Complimentary Headspace account to support mental wellness and focus
- Complimentary genome sequencing from 23andMe to better understand your health through your DNA
Company HQ
South Core, Toronto, ON
Leadership
Dr. Elvis Wianda
(Co-Founder & Chief Data Officer)Obtained a PhD studying Health & Medical Physics at the University of Toronto before joining BenchSci.
Dr. Tom Leung
(Co-Founder & CSO)Previously held roles within the University of Toronto as a Research Assistant and Postdoctoral Fellow.
Liran Belenzon
(Co-Founder & CEO)Previously co-founded and held role as CEO at companies including Standy and Biz-Coupon. Currently a CDL Associate at Creative Destruction Lab.
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