BenchSciBE

Staff Engineer - Machine Learning, NLP

We’re resolving the complexity of disease biology to help advance your science.

BenchSci

Employee count: 51-200

Canada only
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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.

You will:

  • 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 RD scientists to learn, model, and capture the nuances of biology.

You have:

  • 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.

Benefits and Perks:

An engaging remote-first culture
A great compensation package that includes BenchSci equity options
A robust vacation policy plus an additional vacation day every year
Company closures for 14 more days throughout the year
Flex time for sick days, personal days, and religious holidays
Comprehensive health and dental benefits.
Annual learning development budget
A one-time home office set-up budget to use upon joining BenchSci
An annual lifestyle spending account allowance
Generous parental leave benefits with a top-up plan or paid time off options
The ability to save for your retirement coupled with a company match!

About BenchSci:

BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work®, and top-ranked company on Glassdoor.

Our Culture:

BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning.
We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement.
You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture.
Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives.
Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to [email protected].

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About the job

Apply before

Jun 02, 2024

Posted on

Apr 03, 2024

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

Canada +/- 0 hours

About BenchSci

Learn more about BenchSci and their company culture.

View company profile

We’re resolving the complexity of disease biology to help advance your science.

Using AI and proprietary visual machine learning, we’ve built the world’s first evidence-backed map of disease biology. Because we believe that when scientists understand what has already been done, they can understand the feasibility of what is yet to be discovered.

We taught a computer to read and understand experiments like a biologist

Our founders Tom Leung, David Q. Chen, Elvis Wianda, and Liran Belenzon met at the U of T Creative Destruction Lab in 2015. Together they built, tested, and validated an AI solution to the antibody reproducibility crisis. This captured the attention of Google’s AI fund Gradient Ventures, who led BenchSci’s A-round and raised $10M to develop the technology and the business.

Then built an enterprise AI solution to antibody selection

In 2017, BenchSci launched its first application, AI-Assisted Antibody Selection, to help scientists reduce experimental failure. The solution used both experiment-specific text ML and proprietary vision ML models that could understand the type of experiment being conducted. Next, our team then built relationships between those data points with proprietary bioinformatics ontologies. Best of all, we made these results searchable in an intuitive user interface.

Now we power research at the world’s biggest institutions

Within three years, more than 4,300 leading academic research institutions and 16 of the top 20 pharma companies were using our AI solutions. More than 50,000 scientists began relying on BenchSci to support their experiment decisions.

Project Butterfly—The world’s first evidence-backed map of disease biology

What scientists discovered was that BenchSci and our visual ML had built the first objective map of the underlying biology of disease. So, working in secret with top partners and global pharma R&D leaders, we launched Project Butterfly—an attempt to use this transformative technology to solve the biggest challenges in pre-clinical research. iNovia and TCV supported this initiative with a $50M Series C round.

Our next step: ASCEND

The portfolio success platform developed during Project Butterfly was given the name ASCEND, as it is designed to take the discovery and development of medicine to new heights. It augments scientists by giving them an unmatched understanding of disease biology in a platform that democratizes that understanding in all therapeutic areas. With ASCEND, our aim is to increase the speed and yield of the R&D portfolio by multiples, not percentages.

Series D Funding

BenchSci announces the completion of its Series D funding round led by Generation Investment Management. The significant investment enables BenchSci to further enhance the AI-powered platform ASCEND, expand offerings, and continue to empower scientists with the tools they need to accelerate drug discovery and improve patient outcomes.

Employee benefits

Learn about the employee benefits and perks provided at BenchSci.

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Home Office Budget

BenchSci supports remote work with a $1000 CAD budget for employees to set up their home office.

Learning & Development

BenchSci invests in its employees' growth with a $2000 CAD annual budget for learning and development.

Unlimited Flex Time

Employees at BenchSci enjoy unlimited flex time, sick days, personal days, and time off for religious holidays.

Parental Leave Top-Up

BenchSci offers generous parental leave benefits with a top-up plan and paid time options to support new parents.

View BenchSci's employee benefits
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