BenchSci
Toronto
51-200 employees
We empower scientists with the world’s most advanced biomedical AI to run more successful experiments.
Other Open Roles
- Staff Software Engineer, Data
- Senior Software Engineer, Data
- Senior Machine Learning Engineer - Graph ML
- Senior Machine Learning Engineer
Prior Listings
- MLOps Engineer
- Scientist - Data Intelligence
- Senior Software Engineer - Data
- Product Analyst, New Products
- Biomedical Data Analyst
- Senior Product Analyst
- Senior Software Engineer - Data
- Senior Data Operations Manager
- Software Engineer - Data
- Machine Learning Engineer - NLP
- Product Analyst
- Senior Machine Learning Engineer, Computer Vision
- Engineering Manager, Data
- Senior Software Engineer - Data, UK
- Senior Machine Learning Engineer - NLP
- Business Intelligence Analyst
- Engineering Manager, Data
- Senior Machine Learning Engineer - NLP, UK
- Technical Lead - ML Engineering
- Senior Software Engineer - Data Integrations
Senior Machine Learning Engineer, Computer Vision
Senior Machine Learning Engineer, Computer Vision
This job is no longer open
BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
BenchSci's vision is to help scientists bring novel medicine to patients 50% faster by 2025. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform.
Backed by F-Prime, Inovia, 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.
We are seeking a Machine Learning Engineer - Computer Vision to join our growing ML team. You will work on complex and challenging computer vision problems that will have an impact on the 31,000+ life scientists across the world who rely on BenchSci for their research. Reporting to the Engineering Manager, ML, you'll apply your domain expertise to select, train and deploy the best-suited machine learning algorithms, collaborate and experiment with scientists, and apply state-of-the-art techniques to build solutions that will shape the future of scientific discovery. This role offers plenty of room for technical innovation and greenfield to explore and propose computer vision solutions to a complex area.
You Will:
- Continuously improve the performance and scalability of ML models and pipelines that are at the core of BenchSci's products
- Work on different stages of the problem from prototyping to productization
- Contribute to key components across the machine learning ecosystem defining BenchSci's ML Technical Roadmap
- Regularly investigate what technologies will best enable BenchSci to effectively identify experimental insights through proof-of-concepts
- Work with BenchSci's Chief Science Officer and Director of ML to correctly capture the nuances of biology, effectively translating them into ML objectives
- Advocate for code and engineering process improvements across your team, and help define best practices based on personal industry experience and research
- Participate in sprint planning, estimations, and reviews
- Work with teammates to ensure high-quality deliverables
You Have:
- 3+ years of experience working as a professional developer, with at least 2 years of this focused on machine learning and computer vision
- A Bachelor's or Master's degree in Computer Science, Mathematics, or other closely-related disciplines
- Excellent software engineering skills in Python
- Comprehensive knowledge in the end-to-end machine learning lifecycle, including the nuances of the infrastructure and operations
- Working experience with ML and/or Computer Vision fundamentals
- Experience productionalizing ML models (this is kind of mandatory for us)
- Strong experience with PyTorch, TensorFlow, Scikit-learn, and image processing libraries such as OpenCV and Scikit-image
- Experience with distributed and cloud-based data processing frameworks such as Apache Spark or Apache Beam
- A constant desire to grow and develop
- Strong cross-team communication and collaboration skills
- A team player who strives to see teammates succeed together
Nice to haves, but not mandatory qualifications:
- Research publications in ML/AI-related fields
- Background in Life Science (cell biology, molecular biology, genetics, immunology, microbiology)
- Experience in bioinformatics
- Familiarity with reference architectures on Google Cloud Platform
- Familiarity with modern container orchestration systems such as Kubernetes
Benefits and Perks:
An engaging remote-first culture
A competitive compensation package that includes BenchSci equity options
Comprehensive health and dental benefits
Emphasis on mental health with $2500 CAD (or equivalent in your country’s currency) for Psychologist, Social Worker, or Psychotherapist services
Three weeks of vacation plus an additional day for every completed year
Unlimited flex time to use toward sick days, personal days, religious holidays, birthdays and appointments
Additional time-off: 2 weeks for Winter Holidays, every other Friday in July and August, your birthday, and more!
Generous parental leave benefits with a top-up plan or paid time off options
A $2000 CAD (or equivalent in your country’s currency) Annual Learning & Development budget
A $1000 CAD (or equivalent in your country’s currency) work from home allowance to make your home setup perfect for you
A lifestyle spending account for employees to receive reimbursement for eligible expenses related to wellness, lifestyle and productivity $2500 CAD (or equivalent in your country’s currency) per year
Our Culture:
At BenchSci, we’re committed to cultivating an inspiring, inclusive, and equitable work environment for high performing, ego-free, self-starting individuals with a growth mindset, who enjoy the challenge of solving hard problems. We recognize that everyone here is a person first and an employee second. We want people to feel cared for and supported to bring the best versions of themselves to work and help the company achieve its mission. We believe culture is critical to success and invest accordingly.
We live and promote our FASTT values of Focused, Advancement with Speed, Tenacity, and Transparency. We work hard to maintain an engaging, supportive environment where everyone can do their best work. To learn more, read our culture deck.
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. To learn more, read about our DEI initiatives.
Accessibility Accommodations:
BenchSci provides accessibility accommodations during the recruitment process. Should you require any accommodation, we will work with you to meet your needs.
BenchSci is a remote first organization. At this moment, we are welcoming applicants from Canada, the US and the UK for this position.
#LI-Remote
This job is no longer open