Remote Software engineering Jobs · Computer Vision

Job listings

  • Translate AI research into production systems for creating accurate, conflated map data products from aerial imagery and geospatial sources.
  • Design, build, and operate scalable software systems using Python, PyTorch, and GIS tools to transform petabytes of imagery into insights.
  • Collaborate closely with researchers and engineers to solve complex problems, improve data quality, and utilize agentic coding tools for exploratory work.

Nearmap provides aerial imagery, AI analytics, and geospatial tools to help professionals plan, build, insure, and govern properties. The company emphasizes a collaborative culture that brings out the best in its employees.

  • Own people leadership for four engineering managers and approximately 15–20 engineers, setting vision and driving execution against the roadmap.
  • Lead change management across teams adapting to new ownership and a shift to full-stack development, guiding them to stability and productive output.
  • Ensure technical quality and delivery by providing system design-level depth in big data and computer vision contexts, without hands-on coding.

Teamworks is the leading sports technology platform, serving as the operating system for sports by providing integrated solutions for personnel, coaching, performance, operations, and intelligence to over 6,500 sports organizations worldwide. With over 500 global teammates, the company fosters a culture built on core values of honesty, hard work, humility, commitment, and innovation, and is dedicated to building a diverse and inclusive workforce.

  • Design, develop, and deploy deep learning models for camera-based perception like object detection and segmentation.
  • Own end-to-end model development, including data curation, training, evaluation, and deployment, writing production-quality ML code.
  • Analyze model performance, identify failure modes, and improve robustness while collaborating with cross-functional teams on integration.

Torc is an autonomous vehicle technology company focused on developing software for automated trucks to transform freight movement. As a part of the Daimler family, the company has a collaborative, energetic, and team-focused culture with a competitive compensation and benefits package.

  • Design and scope greenfield machine learning projects in collaboration with the team
  • Develop and deliver end-to-end solutions to complex technical problems
  • Train and optimize deep learning models using our extensive multi-temporal, multi-angle, and 3D imagery datasets

Nearmap is driving the reshaping of how the world understands the built environment. They put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of people who plan, build, insure, and govern the places we live and work.

$200,000–$220,000/yr
US Unlimited PTO

  • Lead and grow a high-performing Multimodal ML team — hiring top talent, developing engineers' careers, and building a culture of ownership, technical excellence, and continuous improvement.
  • Manage competing workstreams across model development, production reliability, and moderation — prioritizing effectively and ensuring the team delivers on the highest-impact work.
  • Guide the development and improvement of multimodal models for image-text and image-to-image embeddings, ensuring high-quality modality alignment and retrieval performance.

Flock is the leading safety technology platform, helping communities thrive by taking a proactive approach to crime prevention and security. They are a high-performance, low-ego team driven by urgency, collaboration, and bold thinking, with nearly $700M in venture funding and a $7.5B valuation.

  • Manage a team of engineers focused on building Machine Learning models.
  • Coach and mentor engineers of all experience levels.
  • Foster and grow a fun, diverse and inclusive culture that reflects Yelp’s values.

Yelp's engineering culture is cooperative and values individual authenticity, encouraging creative solutions. They aim to help users, grow as engineers, and have fun while collaborating.