Machine Learning Engineer For a Stealth AI Startup

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

Are you a talented ML Engineer/Scientist looking to make a big impact in healthcare?

The last 12 months has seen a dramatic shift toward digital health, driven by the COVID-19 pandemic. However, it is difficult to provide a similar level of care on a video call as during an in-person visit. While the physician can use visual observation and self-reported symptoms to diagnose a patient, they cannot objectively assess the patient’s physiological state. This means that physicians have to make decisions without important data.

Our Stealth AI Healthcare Startup is focused on making a suite of tools to measure patient health in the home. Our technology is based on cutting-edge research from some of the top AI for Health research labs in the world.

We are seeking an amazing ML engineer/scientist to build Computer Vision (CV) deep learning algorithms for our suite of healthcare products. In this role, you will work alongside world leaders in AI for healthcare to develop, train, and evaluate new ML models to measure important health metrics. Our four-person founding team is comprised of experts from the AI, healthcare, software engineering, and clinical fields. As our team’s first hire, you will serve as a cornerstone for our AI team.

We invite you to join us in making quality healthcare more accessible to patients across the globe.

To be successful in this role, it would help if you have:

• Passion for building tools that can meaningfully impact the healthcare industry
• Fascination with the latest research in deep learning
• Collaborative spirit and willingness to work closely with colleagues toward a shared goal
• Growth mindset and desire to continually improve your technical skills

Qualifications:

• Strong background in designing and developing Computer Vision algorithms
• Experience in Python and ML frameworks such as: Tensorflow, Keras, Pytorch, Caffee, etc
• Strong understanding of deep learning model architectures such as convolutional, residual, attentional, and recurrent neural networks
• Ability to understand recent deep learning research papers and adapt those models to solve real world problems
• Ability to effectively multi-task and adapt within a fast-paced environment
• Excellent communication and organizational skills