Senior ML Engineering Manager — Satellite Data AI

Doist; Washington (District of Columbia); Hybrid; USD 120,480 - 200,800; Full time

Benefits offered by this job

Medical benefits

HSA contribution

Paid time off

Parental leave

Wellness program

Home office stipend

Phone internet reimbursement

Tuition reimbursement

Equity

Commuter benefits

Volunteer PTO

Job summary

Planet is seeking a Senior Engineering Manager to guide and mentor high-performing ML teams delivering defense- and intelligence-focused products. The role involves research-to-production, designing and deploying ML models and training pipelines, all within a distributed, hybrid setting from our Washington DC office three days per week.

You will partner with product management, establish strong engineering practices, and help grow diverse, distributed teams.

Qualifications

• 6+ years of relevant work experience, with 4+ years of supervisory/leadership experience, ability to build and grow distributed teams
• Bachelor’s degree in a relevant field
• Experience delivering data-intensive software products at scale
• Solid understanding of software engineering fundamentals, statistics and machine learning
• Experience 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

Responsibilities

• 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 product management 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

Skills

Leadership

Machine learning

Software fundamentals

ML in production

Distributed cloud

Communication

Education

Bachelor's degree

Job description

Planet is seeking a Senior Engineering Manager to guide and mentor high-performing ML teams delivering defense- and intelligence-focused products. The role involves research-to-production, designing and deploying ML models and training pipelines, all within a distributed, hybrid setting from our Washington DC office three days per week.

You will partner with product management, establish strong engineering practices, and help grow diverse, distributed teams.