Lead Machine Learning Engineer
Launch PotatoFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a fully remote position.
This information is not specified in the job description.
You need a high integrity, team-focused approach with strong collaboration skills, ability to work in cloud environments with distributed components and services, and skills to translate product goals into actionable engineering plans. Experience with machine learning, backend development, and cloud technologies is implied.
Weave features cross-functional, highly autonomous teams that own and act in the company’s best interest, with a focus on collaboration, challenging problems, and contributing in technical and non-technical ways.
Strong candidates demonstrate high integrity, a team-focused approach, collaboration skills, experience with cloud and distributed systems, and the ability to turn product goals into engineering plans, along with a passion for making machine learning accessible.
Patient communication solutions for healthcare providers
Weave provides patient communication solutions tailored for dental and optometry practices. Its platform includes tools for scheduling appointments, sending reminders, managing patient reviews, and enabling two-way texting and calling. This helps healthcare providers interact with patients more effectively and manage their daily tasks. Weave also offers features like virtual waiting rooms and remote communication options, which are especially useful during the COVID-19 pandemic. The company operates on a subscription-based model, allowing clients to pay a recurring fee for access to its services, which vary based on practice size and needed features. By focusing on improving operational efficiency and patient satisfaction, Weave distinguishes itself from competitors in the healthcare technology market.