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Staff Machine Learning Engineer - Remote

Posted 3 days ago
Software Development
Full Time
CA, USA

Overview

As a Staff Machine Learning Engineer at Hayden AI, you will play a critical role in the architecture and refinement of our cutting-edge perception system, leveraging a wide spectrum of machine learning techniques to solve complex, real-world challenges.

In Short

  • Define and lead projects in ML system development life cycle.
  • Guide and mentor cross-functional teams.
  • Contribute to development of machine learning models in production.
  • Design and train deep learning models for urban scene perception.
  • Collaborate with teams for integration of ML models.
  • Implement automated pipelines for ML model training and evaluation.
  • Analyze data to identify performance bottlenecks.
  • Communicate technical findings to stakeholders.
  • Utilize data visualization tools for decision-making.

Requirements

  • Ph.D. or Master's in a relevant field.
  • 10+ years of experience in machine learning and computer vision.
  • Proven ability to deploy deep learning systems in production.
  • Advanced Python programming skills.
  • Expertise in PyTorch or TensorFlow.
  • Deep experience with OpenCV.
  • Experience with cloud-based deployments on AWS, GCP, or Azure.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with GPU nodes for training and inference.
  • Proficiency in data science and traditional ML algorithms.

Benefits

  • Opportunity to work on innovative projects.
  • Collaborative and supportive work environment.
  • Professional growth and development opportunities.
  • Flexible work arrangements.
  • Competitive compensation and benefits package.
Hayden AI logo

Hayden AI

Hayden AI is a forward-thinking company dedicated to leveraging artificial intelligence and machine learning to tackle real-world challenges faced by governments and businesses. With a focus on enhancing transit efficiency, street safety, and sustainability, Hayden AI offers innovative solutions such as mobile perception systems and digital twin modeling. The company is committed to fostering an inclusive and diverse workplace, ensuring that all employees are respected and valued while driving innovation through their varied expertise.

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