Develop and scale state-of-the-art computer vision pipelines for aerial and oblique imagery. Train and improve segmentation, detection, and generative models, run large-scale PyTorch experiments, maintain modular ML infrastructure, and collaborate on deployment and inference optimizations while reproducing top-tier research.
ABOUT DURANTA & WHAT WE’RE LOOKING FOR
Duranta is an applied AI lab changing the way the world sees the world. Our flagship foundation computer vision model, Aidan, measures and understands the world in 4D, redefining how industries interact with the physical world through Artificial Spatial Intelligence. Duranta’s founding team have built unicorns, had successful exits and published groundbreaking research within the field of computer vision. We are seeking a Senior Computer Vision Engineer to join our team.
Who you'll be working with:
- Dr. Amir Zamir - maker of 4M, Taskonomy, FlexToK, winner of Best Paper award (CVPR, SIGGRAPH)
- Dr. Konrad Schindler - maker of Marigold, MOTChallenge, winner of the Frederick J. Doyle Award and Best Paper award candidates (CVPRW, ISPRS)
- Dr. Romann Bachmann - maker of MultiMAE, collaborator on MODUS, winner young investigator award
- A team of engineers and scientists with backgrounds from University of Toronto, Stanford, EPFL, ASU and NYU
You will also work closely with the founding team on deep learning research and deployment across semantic and instance segmentation, few-shot learning, 3D reasoning and generative modeling. Specifically, you will be responsible for contributing to the development of our computer vision pipelines for extracting comprehensive intelligence from optical imagery.
RESPONSIBILITIES & FOCUS AREAS
- Building the components of a state-of-the-art computer vision pipeline for our AI system
- Build and improve CV models (e.g., Mask2Former, SAM, ViT, Swin) for aerial and oblique imagery
- Run experiments at scale with deep learning frameworks like PyTorch
- Develop and maintain clean, modular ML infrastructure
- Collaborate on model deployment and inference optimizations
- Read and reproduce ideas from latest papers (CVPR, NeurIPS and other similar top-tier venues)
YOU WILL THRIVE IF YOU HAVE
- Have 5+ years experience in ML / deep learning, ideally in Computer Vision
- Have strong coding ability (Python, PyTorch)
- Have trained segmentation/detection models on real-world data at scale
- Have experience with generative modeling and large foundation models
- Have worked in startups or fast-moving teams and can wear many hats
AND FOR EXTRA CREDIT…
- Experience with high-res aerial/remote sensing imagery and LiDAR
- Experience with self-supervised and weakly-supervised learning
- Knowledge of 3D, CAD and computer graphics
- Experience with cloud computing (e.g., AWS)
DURANTA VALUES
- API = Assume Positive Intent. Our company, your relationship with co-workers and customers, and life is so much better and more fun if you follow this rule.
- Speed is the Essence. We are in a hurry to make a difference.
- Expect Peak Performance. We strive for excellence and empower those around us to do the same.
- Build something beautiful. A beautiful product, a beautiful company, and a more beautiful world.
Duranta Seattle, Washington, USA Office
600 University Street, Seattle, Washington, United States
Similar Jobs
Information Technology • Software • Consulting
Develop computer vision pipelines and deep learning models for extracting intelligence from aerial and oblique imagery. Responsibilities include improving segmentation and detection models, running large-scale experiments, maintaining modular machine learning infrastructure, optimizing model deployment and inference, and reproducing research from leading computer vision conferences. The role requires collaboration with an applied AI lab and experience with generative modeling, foundation models, and real-world data at scale.
Top Skills:
Deep LearningFoundation ModelsGenerative ModelingInstance SegmentationJavaKerasMask2FormerPandasPythonScikit-LearnSegment Anything Model (Sam)Semantic SegmentationSwin TransformerTensorFlowVision Transformer (Vit)
Artificial Intelligence • Computer Vision • Machine Learning • Robotics
Develop and own classical computer vision systems for 3D hand reconstruction, including multi-view geometry, camera calibration, temporal filtering, inverse kinematics, and physical constraints. Convert model predictions into clean, validated spatial data and maintain scalable delivery pipelines. Build QA metrics, visualizers, dashboards, and failure-analysis tools while partnering with research teams on robotics and embodied AI applications.
Top Skills:
C++CeresGtsamPython
Artificial Intelligence • Information Technology • Software
Develop computer vision and vision-language models for image and video understanding in restaurant environments. Build datasets, training strategies, evaluations, and benchmarks; diagnose model failures; and deploy efficient, reliable inference pipelines. The role combines research and engineering across scene understanding, object tracking, activity recognition, temporal reasoning, visual grounding, and multimodal models, while partnering with product and infrastructure teams to bring research into production.
Top Skills:
Computer VisionDeep LearningDomain AdaptationModel DistillationMultimodal LearningObject DetectionObject TrackingPythonPyTorchQuantizationVideo UnderstandingVision-Language Models
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
