Senior Data Science Leader for Healthcare Innovation

4 weeks ago

Cambridge, Massachusetts, United States Cypress HCM Full time
Job Overview

Cypress HCM is seeking a highly skilled Principal Machine Learning/AI Engineer to drive the advancement of our company's AI and data science capabilities.

Key Responsibilities:
  • Strategy Development: Define and execute the vision for machine learning and data science initiatives, providing mentorship and strategic direction to the data science and engineering teams.
  • Cross-Departmental Collaboration: Collaborate with product management, engineering, and healthcare experts to align machine learning projects with company objectives.
  • Staying Up-to-Date: Stay updated on latest developments in machine learning and healthcare AI, contributing to the scientific community through publications and conferences.
  • Model Design and Optimization: Design and optimize complex machine learning models (e.g., CNNs, LSTMs, transformers) to solve challenging problems and enhance system performance.
  • Model Deployment: Develop and deploy machine learning models for various tasks, ensuring real-time performance and resource efficiency. Collaborate with hardware engineers for model optimization and system integration.
  • Performance Assessments: Conduct performance assessments and simulations to validate and improve model efficacy.
  • Technical Communication: Clearly articulate technical concepts and progress to internal teams and other departments, ensuring alignment with broader company goals.
Requirements:
  • Background: 10+ years of proven background as an AI/ML Engineer, particularly in radar/RF signals, Video/image processing, or classification.
  • Skills: Skilled in Python, MATLAB, C/C++, and machine learning frameworks (e.g., PyTorch, TensorFlow).
  • Data Science Tools: Familiarity with data science tools like NumPy and Scikit-learn, and cloud platforms such as Google Cloud.
  • Machine Learning Expertise: Deep understanding of image processing, deep learning architectures (e.g., CNNs, GANs), and optimization strategies.
  • Architecture Experience: Experience with building and managing models using parallel and sequential architectures.
  • Signal Processing: Experience with real-time signal processing, DSP platforms, or embedded systems, including knowledge of digital signal processing theory and techniques.
Benefits:
  • Medical, Dental, Vision
  • 401(k)
Compensation:

$185K - $250K + bonus/stock potential

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