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
