Senior Machine Learning Engineer

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Senior Machine Learning Engineer in USA

Planet
Full time
Email

USA
08/30/2026
Report

Arlington, VA

Responsibilities

Develop novel machine learning algorithms and models for Defense and Intelligence applications.
Optimize neural networks and inference systems for high-throughput execution at continental and global scales.
Develop computer vision, time series, and embeddings-based methods for satellite data.
Collaborate with product managers, data scientists, and software engineers to define requirements and iterate on algorithms.
Integrate ML preprocessing and inference pipelines with adjacent software engineering platforms.
Establish testing, validation, and monitoring frameworks to maintain model reliability.
Evaluate results rigorously and communicate algorithm failure modes and performance insights.

Requirements

10+ years of relevant experience, including 6+ years of machine learning experience.
Expertise in data science, time series methods, computer vision, and embeddings.
Ability to implement, train, and optimize neural networks and experiment with model architectures.
Experience handling large datasets, preferably with geospatial libraries, and using PyTorch or TensorFlow.
Experience writing modular Python code and applying software development practices with Git, testing, and CI/CD.
Experience deploying and maintaining models at scale using Docker, Kubernetes, or similar technologies.
Experience with AWS or GCP.
Graduate degree in a STEM or analytics-focused field or equivalent work experience.
Strong communication skills for explaining technical topics to diverse audiences.
Ability to work from the Washington, DC metro area and commute to Arlington, VA three days per week.
Ability to obtain and maintain a US Security Clearance.
Preferred: knowledge of remote sensing, satellite imagery, geospatial domains, coordinate reference systems, geometry manipulation, GeoTIFF, GeoJSON, geospatial or sensor-driven data products, model compression, GPU optimization, or distributed training pipelines.

Benefits

Comprehensive medical, dental, and vision plans.
Health Savings Account with company contribution.
Paid time off, holidays, and company-wide days off.
16 weeks of paid parental leave.
Wellness and Employee Assistance Programs.
Home office reimbursement and monthly phone and internet reimbursement.
Tuition reimbursement and access to LinkedIn Learning.
Equity, commuter benefits for local office employees, and paid volunteer time off.
Full-time hybrid role requiring work from the Arlington, VA office three days per week.

Salary: $161k - $201k/yr

Planet

Planet is a forward‑thinking technology partner that empowers businesses to harness data-driven insights for sustainable growth. By blending advanced analytics with intuitive design, we help organizations transform complex information into actionable strategies. Our collaborative approach ensures...

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