Engineering Manager, Machine Learning - Computer Vision (Remote)
Vancouver, British Columbia
BenchSci
BenchSci is a world leader in AI solutions for preclinical R&D. Using proprietary technology, we help decode the complexity of biomedical research.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 looking for an Engineering Manager, Computer Vision to join our growing Machine Learning team. You will lead a team that works on challenging problems to have an impact on the 41,000+ scientists across the world who rely on BenchSci for their research. As an Engineering Manager, you will manage the planning and prioritization of upcoming work, coordinate multiple engineering teams, and coach team members. You will work closely with tech leads and scientists to evaluate priorities, spot potential problems before they occur, and support the team's technical roadmap with planned engineering investments. Adaptability is key to success in this role as change happens often and you will need to navigate ambiguity. Our ideal candidate is flexible, and supportive and knows when to step in and work hands-on with their team and when to lean out and direct.
You Will:
- Execution: Own and drive execution of product and technical roadmaps. You will maintain high-quality standards for everything your team provides
- Management: Take a leadership role in our hiring and onboarding processes. You will develop your team, guide their growth, and manage performance with fair, inclusive, and equitable practices
- Technical: Work with technical leads and engineers to provide guidance on technical solutions, backup plans, trade-offs, and design. You will ensure your talented team provides quality, ensuring they feel a culture of risk-taking, and can experiment to find the best solutions. You will work hands on when needed to support your team’s delivery goals.
- Processes: Work with Science, Web Apps, and Data Teams to define and improve processes across the company with growth in mind
You Have:
- 4+ years working as a professional developer
- 2+ years working as an engineering team manager
- Experience working with computer vision models (such as YOLO, RCNN, EfficientNET, Vision Transformer, etc)
- Experience hiring and building motivated engineering teams
- Software engineering experience in a language for deploying machine learning such as Python
- Experience with data engineering and machine learning design patterns and best practices
- Experience shipping machine learning into distributed, data-intensive production systems
- Strong cross-team communication and collaboration skills
- Worked on projects that have gone from proof-of-concept through multiple maintenance stages
Nice to Have:
- A background in Life Science
- Work experience at companies during rapid growth stages
- Working experience with modern cloud-based services such as GCP or AWS
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
Tags: AWS CAD Computer Vision Engineering GCP Machine Learning Python Research YOLO
Perks/benefits: Career development Competitive pay Equity Flex hours Flexible spending account Flex vacation Health care Parental leave Startup environment Transparency Wellness
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