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Senior Machine Learning Engineer, Computer Vision

Design, build, and deploy computer vision and deep learning models for production applications. Requires 5+ years of ML/CV experience, strong Python and framework proficiency, and deployment on cloud/edge platforms.

150k – 200kSeattle, WAML EngineeringOnsite5+ YOE
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About the role

What you'll do

  • Design, develop, and deploy advanced computer vision models for real-world applications, including object detection, tracking, OCR, image search, and scene understanding
  • Build and optimize deep learning models, ensuring high accuracy, performance, and scalability for deployment in production environments
  • Explore and integrate multi-modal approaches, leveraging visual, textual, and other data modalities for robust solutions
  • Collaborate with cross-functional teams, including data engineers and software engineers to deliver end-to-end solutions
  • Lead the design and implementation of scalable pipelines for data processing, model training, and model deployment
  • Optimize models for performance on various hardware platforms, including CPUs, GPUs, and edge devices
  • Conduct thorough experimentation and A/B testing to validate model effectiveness and ensure alignment with business objectives
  • Mentor junior team members, providing technical guidance and fostering professional growth
  • Write clean, efficient, and maintainable code while adhering to best practices in software engineering and machine learning

What we're looking for

  • PhD in Computer Science, Engineering, or a related field, or equivalent work experience
  • 5+ years of hands-on experience in machine learning and computer vision, with a strong track record of deploying models into production
  • Proficiency in Python and ML frameworks (PyTorch/TensorFlow/ONNX/TensorRT)
  • Strong experience with model optimization (e.g., quantization, pruning) and deployment on various platforms (cloud, edge, or mobile)
  • Familiarity with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (ECS, Kubernetes)
  • Proven experience in building and maintaining data pipelines (e.g., Airflow)
  • Strong understanding of the agile development process and CI/CD pipelines and tools (e.g., Github Actions, Jenkins)
  • Excellent communication skills, capable of presenting complex technical information clearly

Nice to have

  • Experience with C++
  • Experience in high-growth, innovative environments
  • Publications in top-tier conferences (e.g., CVPR, ICCV, NeurIPS)

Skills

PythonPyTorchTensorFlowOnnxTensorRTDockerKubernetesAWSGCPAzureAirflowCI/CDGitHub ActionsJenkinsC++

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