Senior Engineering Manager, Machine Learning

Senior Engineering Manager, Machine Learning

This job is no longer open

About the Role:  

Planet is looking for a Senior Engineering Manager with a proven background in guiding and mentoring high-performing engineering teams.

In this role, you will be responsible for an engineering team delivering novel machine learning powered products for both external customers and internal use. The team designs the algorithms, integrates these into production systems and maintains them via ML operations (MLOps).  For example, the team has developed Road and Building monitoring products based upon our satellite imagery, including global weekly mapping and change detection. They have also built the inference systems that generate cloud masks of all images produced by Planet. The core algorithms that have been developed typically use a combination of computer vision (DL & non-DL) and time series, all cemented in statistical and physical principles. Additionally, the team takes ML models from external partners and integrates them into our systems so that their output can be offered to Planet’s customers.

This is very much a “servant leadership” role, with a high emphasis on enabling your team members to do their best work in an environment that sets them up for success. In particular, you’ll ensure engineers are unblocked on dependencies, take the lead in defining the “what” and “why” of the team’s work, and organize that work in a way that best aligns with organizational and team practices.

The team has a highly collaborative culture and is distributed remotely across USA and Canada.  

Impact You’ll Own:

  • Guide your team of machine learning engineers to deliver successful ML products
  • Mentor, coach and unblock your team members, helping them succeed and grow their careers
  • Ensure efficient shipping of product improvements and features 
  • Partner with your product management counterpart to take strategic and tactical decisions
  • Define and implement team processes, including for task planning, code reviews and on-call rotations
  • Establish sound engineering practices to build software and design training & inference pipelines
  • Collaborate across our engineering organization and other cross functional teams to align efforts

What You Bring:

  • Proven experience in delivering data-intensive software products at scale
  • 4+ years of experience as a manager, with ability to build, retain, and grow diverse, geographically dispersed teams.
  • Solid understanding of fundamentals in software engineering, statistics and machine learning
  • Demonstrated success in establishing and evolving operational practices in a software engineering organization
  • Experience owning and maintaining ML models in production 
  • Experience with distributed cloud computing
  • Excellent interpersonal skills, both verbal and written, with the ability to explain complex technical issues accurately to technical and non-technical audiences

What Makes You Stand Out:

  • Experience building products using sensor or geospatial data
  • Experience in remote sensing or related fields

Benefits While Working at Planet:

  • Comprehensive Health Plan
  • Wellness program and onsite massages in specific offices
  • Flexible Time Off
  • Recognition Programs
  • Commuter Benefits
  • Learning and Tuition Reimbursement
  • Parental Leave
  • Offsites and Happy Hours
  • Volunteering Benefits


The US base salary range for this full-time position at the commencement of employment is $124,000 - $203,000.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.