Hybrid Senior Software Engineer, Machine Learning

at Planet

• Job title: Senior Software Engineer, Machine Learning
• Job type: Full Time
• Experience level: Senior
• Salary: $142,800 - $178,500 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Docker, Google Cloud Platform, Kubernetes, Python, PyTorch
• Location requirements: Hybrid, United States

About the role

• Senior Software Engineer developing machine learning geospatial products for Planet. Collaborating with engineers and scientists on innovative remote sensing analytics.

Responsibilities

• End-to-end model development & maintenance: Develop new algorithms or methods, implement and test them rigorously, and integrate them into production pipelines. Contribute to their ongoing maintenance and iteratively improve them.
• Advancing geospatial analytics: Innovate on computer vision, time series, and other ML techniques to uncover new insights from satellite and aerial data
• Cross-functional collaboration: Partner with product managers, data scientists, and engineers to define requirements, validate model outputs, and refine algorithms in iterative cycles
• Collaborating with adjacent ML and software engineering teams to ensure seamless integration of ML pre-processing and inference steps, defining best practices for efficient deployment and maintenance of geospatial models

Requirements

• 6+ years of relevant experience of which 5+ years of experience is in machine learning
• Bachelor’s degree in Computer Science or similar
• Deep familiarity with time series methods, computer vision, and embeddings; able to implement, train, and optimize neural networks
• Data handling & preprocessing: Experience wrangling large datasets, ideally with geospatial libraries, combined with frameworks like PyTorch/TF for model development and training
• Ability to experiment with model architectures, and derive data-driven insights to iteratively improve performance and accuracy using an analytical mindset
• ML engineering experience: Comfortable writing clean, modular Python code and applying software development best practices (Git, testing, CI/CD)
• Hands-on production expertise: Experience deploying models (via Docker, Kubernetes, or similar) and understand best practices for monitoring and maintaining them at scale
• AWS or GCP experience
• Excellent communication skills, capable of explaining technical topics to diverse audiences.

Benefits

• Comprehensive Medical, Dental, and Vision plans
• Health Savings Account (HSA) with a company contribution
• Generous Paid Time Off in addition to holidays and company-wide days off
• 16 Weeks of Paid Parental Leave
• Wellness Program and Employee Assistance Program (EAP)
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Commuter Benefits (if local to an office)
• Volunteering Paid Time Off