Senior Machine Learning Engineer, Computer Vision

About the role

Join the team to build, maintain, and optimize end-to-end data and model pipelines that power core Artificial Intelligence systems. This is a hands-on role for an ambitious engineer passionate about taking raw data through the entire lifecycle from scraping to production-ready trained models.

Responsibilities

• MLOps and Training Infrastructure Design and Improve training pipelines for faster, continuous model iteration
• Enable scalable experimentation across datasets, model architectures, and training strategies
• Improve reproducibility, experiment tracking, and comparison of training runs
• Data Pipelines and Dataset Quality
• Build and refine workflows for data indexing, curation, and preprocessing
• Label quality validation and dataset management
• Data exploration for targeted labeling
• Develop evaluation and tests reflecting real-world operating conditions
• Improve synthetic data workflows for targeted model improvement
• Model Development and Experimentation
• Train, evaluate, and iterate on computer vision models for detection, segmentation, classification, and tracking
• Work with transformer and multi-modal architectures where appropriate
• Explore and evaluate new model families and research directions
• Domain-specific optimizations for aerial imagery and small-object detection
• Incorporate multi-modal inputs including multiple image bands, platform, and sensor metadata
• Edge Deployment and Optimization
• Optimize models for deployment on embedded GPU platforms like Nvidia Jetson
• Balance accuracy, latency, and resource constraints for real-world, real-time workflows

Requirements

• Core Experience
• 5+ years of experience in machine learning with a focus on computer vision
• B.S., M.S., or Ph.D. in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• Hands-on experience building and improving computer vision or perception models in production or real-world systems, especially for object detection and object tracking
• Strong understanding of model evaluation including selecting metrics, building test sets, analyzing false positives/negatives, and measuring performance over time
• Strong Python skills and solid software engineering fundamentals

Technical Skills

• Experience with PyTorch or TensorFlow
• Strong understanding of modern computer vision architectures: CNNs, transformers (ViTs), and/or multi-modal models
• OpenCV, NumPy, or similar
• Experience building training and data pipelines for medium to large scale datasets
• Strong Python skills and solid software engineering fundamentals

Bonus Qualifications

• Aerial imagery, geospatial data, or remote sensing
• Photogrammetry
• Multi-modal learning systems
• Familiarity with state estimation and tracking methods (Kalman Filters, DeepSORT, ByteTrack, etc.)
• Experience with performance languages (C++ or similar)
• Model deployment onto Nvidia Jetson based edge hardware

What we offer

• Growth Opportunities: Learn by doing and shape the future of a true startup
• Impact Opportunity: Work on missions that matter without bureaucracy
• Team Collaboration: Fast-paced, collaborative environment with open-door leadership
• Late Start Wednesday: Weekly focus time away from meetings
• Time Off: Generous PTO for work-life balance
• Holidays: 10 company holidays recognized
• Ownership: Equity/Stock Options in the company
• Health Benefits: Medical/Dental premiums 100% covered for employees and families, plus pre-tax HSA
• 401K: Employer matching up to 4% of pay

Additional Information

• All applicants must be authorized to work on a permanent basis in the United States
• Equal opportunity workplace
• Position may involve access to data/technology subject to U.S. export control laws (ITAR/EAR)
• Employment contingent upon export compliance assessment
• We encourage all qualified candidates to apply even if they don't meet every requirement