Senior Machine Learning Engineer, Computer Vision

Role Description

Join our dynamic team to build, maintain, and optimize the end-to-end data and model pipelines that power our core Artificial Intelligence systems. This is a hands-on role perfect for an ambitious engineer who is passionate about taking raw data through the entire lifecycle, from scraping and wrangling to production-ready, trained models. This role is remote-friendly, with a preference for candidates who can spend occasional time onsite in Hood River, OR.

What You’ll Do

• MLOps and Training Infrastructure
  • Design and improve training pipelines to support 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 that reflect real-world operating conditions
  • Improve synthetic data workflows to support targeted model improvement
• Model Development and Experimentation
  • Train, evaluate, and iterate on computer vision models for:
    • Detection, segmentation, classification, tracking
    • Transformer and multi-modal architectures where appropriate
  • Continuously explore and evaluate:
    • New model families and research directions
    • Domain-specific optimizations for aerial imagery, small-object detection
  • Incorporate multi-modal inputs including:
    • Multiple image bands
    • Platform and sensor metadata (range, angles, telemetry, etc.)
• 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

Qualifications

• 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 a 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/false negatives, and measuring performance over time for iterative improvement

Requirements

• Experience with PyTorch or Tensorflow
• Strong understanding of modern computer vision architectures: CNNs, transformers (ViTs), and/or multi-model 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

• 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

Benefits

• Growth Opportunities: As a team member of a true startup, you will learn by doing and shape our future. The opportunities are limitless for those who want to grow their career.
• Impact Opportunity: We work on missions that matter to keep people safe and make the world better, and we do it without bureaucracy at the speed of a startup.
• Team Collaboration: Work in a fast-paced, collaborative environment with amazing teammates. The Overwatch Imaging leadership team believes in an open-door policy, meaning everyone has a voice and access to guidance, advice, feedback, and the ability to pitch crazy new products or ideas.
• Late Start Wednesday: A weekly block to have focus time away from meetings and calls. An opportunity to work from home, flex your schedule or self-directed time to focus on training and development.
• Time Off: Generous PTO to empower employees to make decisions about work life balance based on work and home needs.
• Holidays: Overwatch Imaging recognizes 10 company holidays.
• Ownership: Equity/Stock Options in our rapidly growing company.
• Health Benefits: Medical/Dental premiums 100% covered by Overwatch Imaging for employees and their families, plus available pre-tax health savings account.
• 401K: Employer matching contributions up to 4% of pay.