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Pearl is looking for a Machine Learning Scientist with at least 5 years of industry experience. You will be responsible for building and maintaining the machine learning models that power Pearl's products. You will be working on both 2-D and 3-D medical imaging problems alongside a team of like-minded engineers in order to improve the performance of our machine learning pipeline and to prototype and deliver CV-driven solutions. This role requires proficiency with Python, Machine Learning, and Statistics. The ideal candidate is rigorously scientific and a savvy engineer.

Responsibilities:

• Assess and implement methods from relevant literature utilizing open source Vision/Math tools such as Tensorflow and PyTorch
• Collaborate with cross-functional teams (FullStack, Product) to build products, share learnings, and vice versa
• Build upon existing solutions to optimize for performance, reliability, and scalability
• Write and maintain clean and modular code to deploy in production environment
• Work to iteratively improve core model performance
• Contribute to active research communities through conference/journal publications, meetups, and workshops

Minimum Qualifications:

• MS in Computer Vision, Computer Science, Electrical Engineering, Applied Mathematics orPhysics, Machine Learning or a related technical field
• 5+ years experience in Computer Vision, Machine Learning, Image Analysis
• Strong program fluency in Python or C++ and familiar with Linux
• Experience applying Machine Learning to solve Computer Vision problems
• Strong communication skills to effectively collaborate with cross-functional teams including both technical and non-technical team members

Preferred Qualifications :

• Experience working in medical imaging
• Experience with multimodal data
• Experience with CPU/GPU optimization
• Familiar with AWS ecosystem
• Publications in top-tier journals and conferences

Perks:

• Remote work option
• Meaningful equity in healthtech startup
• Ongoing learning and development
• Stock options, 401k, medical/dental/vision benefits
• Unlimited vacation policy