Job description

Requirements

• Pearl is looking for a Machine Learning Scientist with at least 5 years of industry experience,
• This role requires proficiency with Python, Machine Learning, and Statistics,
• The ideal candidate is rigorously scientific and a savvy engineer,
• 5+ years experience in Computer Vision, Machine Learning, Image Analysis,
• MS in Computer Vision, Computer Science, Electrical Engineering, Applied Mathematics orPhysics, Machine Learning or a related technical field,
• 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,
• 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

What the job involves

• 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,
• 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