We are looking for an Engineering Manager, Computer Vision to join our growing Machine Learning team and will report to the Director of Engineering, Machine Learning. 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