Staff Machine Learning Engineer - Remote

Overview

As a Staff Machine Learning Engineer at Planet, you will work on innovative geospatial and time series analytics, focusing on Defense and Intelligence applications, and contribute to the development of satellite data analytics.

In Short

• Develop and optimize algorithms for geospatial analytics.
• Innovate on computer vision and ML techniques.
• Collaborate with cross-functional teams on model validation.
• Ensure seamless integration of ML models.
• Conduct rigorous evaluations of algorithm performance.
• Work with large datasets and geospatial libraries.
• Implement and optimize neural networks.
• Write clean and modular Python code.
• Deploy models using Docker or Kubernetes.
• Communicate technical topics effectively.

Requirements

• 10+ years of relevant experience, with 6+ in machine learning.
• Expertise in data science and time series methods.
• Experience in computer vision and embeddings.
• Ability to wrangle large datasets.
• Experience with PyTorch or TensorFlow.
• Ability to derive data-driven insights.
• Experience with software development best practices.
• AWS or GCP experience.
• Excellent communication skills.
• Graduate degree in a STEM field or equivalent experience.
• Ability to obtain US Security Clearance.

Benefits

• Comprehensive Medical, Dental, and Vision plans.
• Health Savings Account with company contribution.
• Generous Paid Time Off.
• 16 Weeks of Paid Parental Leave.
• Wellness Program and Employee Assistance Program.
• 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.