Staff Engineer, BenchSci
Machine Learning, Natural Language Processing (NLP)
+ Equity options
AI for biomedical research
Open for applications
AI for biomedical research
201-500 employees
Open for applications
+ Equity options
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
- 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
What the job involves
- We are seeking a Staff Machine Learning Engineer to join our platform architecture team
- This role is an opportunity to apply state-of-the-art ML that will shape the future of scientific discovery
- You will be a key player in accomplishing BenchSci's mission to exponentially increase the speed and quality of life-saving research and development
- Your work will have an impact on thousands of scientists across the world who rely on BenchSci for their research
- Reporting to the Head of the Platform Architecture Group, you will work on complex and challenging ML architectures (model level and data pipeline level)
- You will be responsible for the high-level design of technical solutions end to end
- You will work closely with our ML teams, provide guidance and mentorship, and set the technical direction throughout the ML Development Lifecycle
- 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
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
Company
Funding (last 2 of 7 rounds)
May 2023
$66m
SERIES D
Jan 2022
$43.8m
SERIES C
Total funding: $155m
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 values
- Focused advancement
- Speed
- Tenacity
- Transparency
Company HQ
South Core, Toronto, ON
Articles
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.
Salary benchmarks
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Diversity, Equity & Inclusion at BenchSci
- Foundational DEI workshops around anti-bias, empathy, allyship, microaggressions, and discrimination
- Inclusive leadership training for all managers and open to all team members
- Inclusive hiring training for hiring managers and recruiters
- A centralized resource of information that promotes inclusivity
- Company-wide access to Crescendo to equip team members with customized learning paths that are tailored to their current knowledge levels
- Acknowledging and celebrating important and commemorative dates
- Building a group of DEI sponsors to support and encourage company-wide engagement around DEI conversations
- Holding DEI “Office Hours” for supporting individuals and teams who have questions or are seeking support with how to embed DEI into their work
- Restructuring our recruitment processes to ensure we are mitigating bias at every step of the hiring process
- Launching BenchSci Forward, our platform for change focused on the advancement of social issues such as diversity in STEM, mental health, and climate change
- Providing flexible parental leave, with the option of 75% top-ups for 20 weeks or 15 designated Parental Leave Days
- Providing mental health benefits for all team members, including mental wellness coverage up to $2,500, personalized executive coaching, regular mindfulness sessions, and extra vacation time
- Conducting a pay fairness analysis to ensure our compensation practices are equitable
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