Senior ML Engineer - Conversational AI

Overview Notable is the leading intelligent automation company for healthcare. Customers use Notable to drive patient acquisition, retention, and reimbursement, scaling growth without hiring more staff. We don’t just make software; we are on a mission to fix the broken U.S. healthcare system by helping to eliminate the massive administrative burden that is placed on our nation’s healthcare staff. We hire people from diverse backgrounds and are always looking for employees who bring fresh ideas to our space. Passion is paramount, and at Notable, you will work with other talented individuals who aim to set the new standard for innovation in healthcare.

As an ML/AI engineer at Notable, you’ll work on developing and deploying machine learning models that provide the intelligence powering robotic processes underpinning critical healthcare workflow automation. The types of AI tasks range from natural language understanding, including document entity extraction and reading comprehension, to computer vision for robotic process automation such as object detection and optical character recognition. You’ll collaborate closely with the product development team to define ML systems tailored to our needs, help build the necessary data and computing infrastructure, and ship new solutions to enable intelligent automation.

We look for smart individuals who can implement well-crafted solutions to complex problems in a fast-paced environment and help us attract more talent. While we don’t expect you to have experience with our specific stack (Google Cloud Platform, Python, TensorFlow, Kubeflow, PyTorch, FastAPI, Kubernetes), we do seek demonstrated mastery of your chosen development stack and a desire to learn new technologies.

Our interview process is designed to reflect the kinds of work we will do together day-to-day and week-to-week. You’ll begin with an intro call to learn more about Notable and the team, followed by a remote two-hour take-home exercise similar to the daily problems we tackle. Subsequently, you may have an in-person onsite with multiple one-on-one sessions and lunch with the team, or a virtual alternative.

Day-to-day responsibilities:

• Collaborate with the product development team and product managers to define scope of work, timeline, and product specifications.
• Work with backend engineers to deploy, maintain, and scale AI models.
• Define interfaces between the microservices that run and deliver AI models.
• Discover, collect, clean, and transfer data to train AI models.
• Experiment with different AI models, methodologies, frameworks, and communicate critical evaluation metrics to product teams.
• Explore and refine best practices within the ML team; push the boundaries of ML and AI and innovate on leveraging existing technologies to solve new problems.

Experience:

• 7+ years of experience in a relevant role.
• Demonstrated ability to translate business requirements and metrics into machine learning model specifications.
• Proficiency in quickly prototyping new models from open-sourced code and demonstrating results.
• Ability to design and train new model architectures for complex data.
• Experience with real-world data: large, messy, incomplete, irregular, etc.
• Familiarity with structured and unstructured data.
• Proficiency with Python and the standard ML stack (numpy, pandas, scikit-learn).
• Experience with a deep learning package (e.g., TensorFlow, PyTorch).
• Experience deploying ML models in production.

Beware of job scam fraudsters! Our recruiters use @notablehealth.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, purchase equipment through us, or provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us here.

Compensation Range: $94.2K - $220K