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ML Engineer - Computer Vision

ML Engineer - Computer Vision

Grid Aero, Inc.San Leandro, CA, US
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About Us :

  • Grid.aero is a VC-backed aviation startup tackling complex challenges in both defense and commercial markets.
  • We are focused on solving real-world problems that will shape the future of the industry.
  • Led by aerospace veterans and supported by leading venture firms, Grid is at the forefront of developing autonomous systems that will revolutionize how goods move through the skies.
  • Be part of a fast-growing, high-impact startup from day one.
  • At Grid, your work will shape critical industries, driving innovation at the intersection of national security and global commerce.

Role Overview :

  • We are seeking a Machine Learning Engineer to be one of the first key hires at Grid.aero.
  • In this role, you will develop cutting-edge ML algorithms for autonomous aircraft.
  • You’ll work on real-time vision processing, sensor fusion, and AI-driven decision-making, helping build a next-generation autonomous flight system.
  • As an early hire, you'll help lay the foundation for the company’s future growth, both technically and organizationally.
  • You’ll have full visibility into our mission, work closely with leadership, and be empowered to drive innovation.
  • If you’re excited about building something world-changing and want to play a critical role in shaping an early-stage company, this opportunity is for you.
  • What You’ll Do :

  • Design, implement, and optimize real-time computer vision algorithms for object detection, tracking, and classification in dynamic environments, leveraging deep learning models such as CNNs, transformers, and self-supervised learning for autonomous aircraft perception.
  • Fuse vision data with other onboard sensors (e.g., LiDAR, radar, IMU) to improve situational awareness and decision-making.
  • Optimize ML models for edge computing platforms, ensuring real-time performance and efficiency.
  • Collaborate with autonomy, controls, and mission systems teams to integrate vision-based AI into flight control and mission management.
  • Build and curate datasets, including synthetic data generation and domain adaptation techniques.
  • Contribute to test planning, simulation, and real-world flight experiments to validate perception systems.
  • Who You Are :

  • Mission-Driven : You're passionate about solving big, complex problems through technology and driven by the chance to change industries.
  • Innovator :

  • You thrive on the challenge of working with cutting-edge technologies and pushing the boundaries of what’s possible.
  • Builder :

  • You enjoy the excitement and impact of working at an early-stage startup where your contributions directly shape the future.
  • Collaborative :

  • You work well with diverse, cross-functional teams and are excited to lead, mentor, and inspire others.
  • Desired Qualifications :

  • 3+ years of experience in computer vision, deep learning, or equivalent.
  • Strong experience with deep learning frameworks (PyTorch (preferred), TensorFlow or Jax) and computer vision libraries (OpenCV, ROS, CUDA).
  • Proficiency in semantic segmentation models such as DeepLab v3.
  • Experience with object detection architectures, including YOLO for real-time applications and EfficientRep (ERFE) for lightweight feature extraction.
  • Experience deploying AI models on edge devices or embedded systems.
  • Proficiency in Python and C++ for real-time AI applications.
  • Knowledge of multi-sensor fusion techniques and experience with LiDAR, radar, or event-based cameras is a plus.
  • Experience with synthetic data generation, domain adaptation, or self-supervised learning is a plus.
  • Exposure to aviation or UAS projects is a plus.
  • Why Join Grid.aero :

  • Mission First : Tackle some of the most important national security issues of the day.
  • Ownership :

  • Receive a significant equity stake and help build the future of Grid.aero.
  • Impact :

  • As one of our first hires, you’ll have a direct and visible impact on the success of the company.
  • Innovation :

  • Lead the architecture of a game-changing product that will redefine the air logistics industry.
  • Growth :

  • Work alongside experienced aerospace founders and grow with the company as a key technical leader.
  • Compensation :

  • 100k -$150k / .4-1% Equity This role offers a significant equity stake in Grid.aero, with compensation expected to grow over time.
  • We are looking for individuals who are driven by the mission and excited about the opportunity to build something extraordinary.
  • Equal Opportunity Employer :

  • Grid.aero is an equal opportunity employer.
  • We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
  • Legal Notice :

  • This position must meet export control compliance requirements.
  • To meet export control compliance requirements, a “U.S.
  • Person” as defined by 22 C.F.R. §120.15 is required. “U.S.
  • Person” includes U.S.
  • Citizen, lawful permanent resident, refugee, or asylee.
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