Hiring: Senior Machine Learning Engineer Company: Planet Location: Washington DC-Baltimore Area Job Posted Time: 2026-09-03 14:50:00 Employment Type: Full-time / Remote Target Skills & Keywords : AWS, CI/CD, Computer Vision, Docker, GCP, Git, Kubernetes, Machine Learning, PyTorch, Python, Security Clearance, Terraform About the job Experience: •Excellent communication skills, capable of explaining technical topics to diverse audiences. •Located in the Washington, DC metro or ability to work and commute to Arlington, VA 3x/week •Practical knowledge of remote sensing, satellite imagery, or related geospatial domains •Knowledge of coordinate reference systems, geometry manipulations, and common data formats. •Hands-on experience building geospatial or sensor-driven data products from scratch Required Skills: •This is a full-time, hybrid role which will require you to work from our Arlington, VA office 3 days per week. •Spearhead the development of novel algorithms and machine learning models tailored for Defense and Intelligence applications. •Optimize model performance to execute high-throughput inference at continental and global scales. •Innovate computer vision, time series, and embeddings-based techniques to uncover new insights from satellite data. •Partner cross-functionally with product managers, data scientists, and engineers to define requirements and iterate on algorithm designs. •Integrate ML pre-processing and inference pipelines seamlessly with adjacent software engineering platforms. •Establish best-in-class testing, validation, and monitoring frameworks for continuous model reliability. Qualifications: •10+ years of relevant experience of which 6+ years of experience is in machine learning. •Demonstrated capacity to conduct a rigorous evaluation of results and internal communication of algorithm failure modes. •Expertise with data science, time series methods, computer vision, and embeddings. •Demonstrated capacity to implement, train, and optimize neural networks. •Demonstrated capacity to experiment with model architectures, and derive data-driven insights to iteratively improve performance and accuracy. •These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. •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 Compensation: •$160,600 - $200,800 / year •Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!