Lead Software Engineer, DroneDeploy

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 5+ years of professional experience in 3D Machine Learning and Computer Vision
• Experience designing, building, integrating, deploying, debugging and maintaining large-scale production 3D computer vision systems
• Ability to timebox experiments, iterate effectively and leverage excellent problem-solving skills to triage routes to success
• Experience training and improving models for feature detection/matching, depth estimation or mesh reconstruction
• Experience with modern ML in Pytorch, Keras, TensorFlow or equivalent
• Experience building and improving models like Mask2former, MaskRCNN, Resnet, Unet
• Experience with CI/CD tools (e.g., Jenkins, GitHub CI)
• Experience as effective remote employee able to overlap standup AM meetings PST
• Strong communication and leadership skills

Desirable

• We are a team of highly skilled developers working on an industry-leading photogrammetry platform used by customers worldwide
• Your work will revolutionize industries by automating complex, high-impact tasks, enhancing safety, precision, and efficiency across global sectors like construction, agriculture, and conservation
• In this role, you will lead the design, development, implementation and improvement of innovative machine learning models to solve computer vision problems
• Additionally, you will facilitate the development of robust and scalable machine learning infrastructure and operations
• You will work closely with the Computer Vision and DevOps teams to ensure seamless deployment and management of ML models in production
• This is a fully remote position within the U.S., offering you the flexibility to design your workday to maximize productivity and balance
• We provide you with the autonomy to work in a way that suits you best as long as you’re able to collaborate effectively with our team, particularly during Pacific Time zone business hours
• Train, improve, evaluate, integrate, and deploy machine learning models for a variety of computer vision use cases, such as object detection, segmentation, feature matching, and depth estimation
• Optimize the performance of ML models and systems for speed, accuracy, and resource efficiency
• As a self-driven engineer, you'll take ownership of deliverables from design to implementation, release, and support. You'll also pick up the knowledge you need to complete the job
• Collaborate with ML, Computer Vision, and DevOps Engineers to automate and streamline the ML model training, testing, and deployment pipelines
• Building and maintaining high-quality datasets, ensuring data gets labeled properly and errors corrected, targeting additional relevant data, and evaluating the impact on the models
• Lead the design, development, and maintenance of scalable and efficient machine learning infrastructure, including training, CI/CD, monitoring, and other automation
• Lead a team of talented engineers with ample opportunities for professional growth and leadership development. We invest in our people, providing continuous learning opportunities and the chance to shape the future of machine learning
• Stay up-to-date with the latest ML advancements and evaluate their potential application to our workflows
• Collaborate with cross-functional teams to understand business requirements and deliver ML solutions that meet organizational goals