Senior Machine Learning Engineer - Graph (Remote)

Olive’s AI workforce is built to fix our broken healthcare system by addressing healthcare’s most burdensome issues -- delivering hospitals and health systems increased revenue, reduced costs, and increased capacity. People feel lost in the system today and healthcare employees are essentially working in the dark due to outdated technology that creates a lack of shared knowledge and siloed data. Olive is designed to drive connections, shining a new light on the broken healthcare processes that stand between providers and patient care. She uses AI to reveal life-changing insights that make healthcare more efficient, affordable and effective. Olive’s vision is to unleash a trillion dollars of hidden potential within healthcare by connecting its disconnected systems. Olive is improving healthcare operations today, so everyone can benefit from a healthier industry tomorrow.

Olive is searching for experienced machine learning engineers (MLE) to provide technical leadership and guidance as we build our technology platform. We encourage a growth mindset amongst all of our engineers and value those with the drive to be continuously expanding industry knowledge. A successful MLE will possess strong analytical as well as technical skills, and have the ability to communicate the logic behind technical decisions to non-technical stakeholders.

As a ML engineer, you will use world-class engineering and ML techniques to answer clinical questions based on our knowledge graph.You will work with a distributed team of Data Scientists, Data Engineers, Program Managers and Software Engineers to develop Olive AI solutions.

At Olive, we're committed to growing and empowering an inclusive community within our company and industry. This is why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives across our organization. Research shows that oftentimes women and other minority groups only apply to open roles if they meet 100% of the listed criteria. Olive encourages everyone — including women, people of color, individuals with disabilities and those in the LGBTQIA+ community — to apply for our available positions, even if they don't necessarily check every box on the job description.

Disclaimer:

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned.

This job description does not constitute a contract of employment and Olive AI, Inc. may exercise its employment-at-will rights at any time.

Responsibilities (to include but not limited to):

• You will build and deploy robust ML/DL models that improve entity extraction, classification, resolution, and disambiguation within the knowledge graph across multiple data lakes.
• You will develop systems for feature engineering and onboarding of datasets into the graph
• Collaborate with technical and non-technical business partners to develop analytics and metrics that describe the performance of matching systems and quality of our data.
• Collaborate with data engineers, scientists, software engineering, data specialists, analytics & UX engineers to support the knowledge graph use cases with our customers.
• Actively participate in and lead design and architecture for assigned projects including design reviews and code reviews.
• Own your technical stories and assignments- from writing code, clarifying requirements, meeting project timelines, and delivering high-quality, workable features.
• Help maintain and contribute to the collaborative Engineering culture.
• Foster proactive and cooperative relationships within the project team.
• Exercise independent judgment in selecting methods and techniques for obtaining solutions.
• Analyze applications and make the necessary changes to optimize performance.
• Update and modify existing applications when bug fixes are identified.
• Embrace changing requirements.
• Mentor and lead other engineers and help them adhere to our best practices.

Requirements

• Bachelor’s in Computer Science, Mathematics, Statistics, Physics or relevant equivalent experience
• Hands-on experience with big data technologies including various SQL and NoSQL databases
• History of designing and delivering software solutions to real world problems across a variety of technology stacks and programming languages
• Experience in the development of highly maintainable and reliable code using practices such as unit testing, integration testing, proper code documentation, and appropriate logging
• Strong communication, critical thinking, and problem solving skills
• Demonstrated understanding of fundamentals engineering concepts
• Knowledge of software and application design and architecture
• 4+ years of relevant programming experience, with a preference for
  • Java, Python, Go or similar languages
  • Multiple AWS services like SNS, Lambda, SQS, S3, Secrets Manager etc.
  • Build and Release pipelines such as Gitlab
  • Excel in model development with ML frameworks (PyTorch, TensorFlow, Keras)
  • Experience building production ML models and systems
• Experience working with graph (Labeled Property or RDF) databases like Amazon Neptune or Neo4J is plus
• Experience in NLP techniques along with Graph ML is a plus
• Experience writing and reviewing detailed Technical Design Documents (TDDs) is a plus

Benefits

We take the health and happiness of our employees seriously and consistently evaluate new ways to provide an amazing place to work. From retirement planning, to a wellness program designed to actively incorporate mental and physical wellness into daily interactions amongst fellow Olivians, we make sure to take care of our own.

• Health, Dental, and Vision insurance that starts on your first day at Olive with 100% of premiums covered for team members and 75% covered for dependents
• Monthly Grid stipend to cover work related expenses
• Unlimited PTO
• Telemedicine
• EAP/Mental health resources
• Getaways by Marriott Bonvoy
• Family-building and fertility support via Kindbody
• 12 weeks of parental leave
• 401(K) match
• Wellness program
• Stock Options