Machine Learning Engineering Manager
Link
Posted on 11/3/2022
INACTIVE
Kensho

51-200 employees

Kenshoo is the global leader in agile marketing software.
Company Overview
Kensho is committed to creating a kind, diverse and equitable workplace, fostering a sense of belonging, and ensuring that the company is a place where employees can bring their whole selves to work. The company develops agile marketing software.
AI & Machine Learning

Company Stage

N/A

Total Funding

$675.9M

Founded

2013

Headquarters

Cambridge, Massachusetts

Growth & Insights
Headcount

6 month growth

11%

1 year growth

31%

2 year growth

33%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
CategoriesNew
AI & Machine Learning
Requirements
  • Have 5+ years of industry experience designing, building, evaluating, and maintaining robust and scalable production ML systems
  • Have 2+ years of management experience
  • Have experience mentoring and/or building a team of engineers. We are looking for someone who can think long term about hiring and training
  • Have experience partnering with a product manager
  • Have a deep understanding of modern ML system design, from problem framing to deployment and monitoring in production
  • Are an innovation oriented person who can come up with out-of-the-box solutions
  • Are a thoughtful and collaborative code reviewer and teammate
  • Are highly organized and result-oriented
  • Measure your professional success by your team's success
Responsibilities
  • Manage a dedicated team of Applied ML scientists and ML engineers who design, build and maintain state-of-the-art capabilities that power Kensho LINK
  • Ensure that the team builds production-ready modeling code that can be scaled out to large volume of data
  • Apply creative thinking to solve complex modeling problems
  • Collaborate with the product, go-to-market, and engineering leaders to define the team's strategic vision and the most promising problems to go after
  • Grow, mentor, coach and develop your team members both professionally and technically
  • Partner with our talent acquisition team to hire Applied ML scientists and ML engineers to expand the team
  • Be hands-on to the extent that it makes sense for your team