[Remote] Machine Learning Ops Engineer at Weave

United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Information Technology & ServicesIndustries

Skills

Key technologies and capabilities for this role

Distributed backend systemsDataScalabilityMachine learning infrastructureData lifecycleAI platform developmentCloud environmentResilient servicesData integrationPerformance optimizationTestingCollaborationEngineering planning

Questions & Answers

Common questions about this position

Is this position remote or does it require office work?

The position is remote with the option to work in the Lehi, UT Headquarters.

What is the salary for this Machine Learning Ops Engineer role?

This information is not specified in the job description.

What skills and experience are required for this role?

Required experience includes distributed backend systems, along with interest in data and scalability, desire for continuous development, and ability to contribute both technically and non-technically.

What is the company culture like at Weave?

Teams are cross-functional, agile, and highly autonomous, with a focus on talented developers working on distributed backend systems, data, scalability, and continuous development.

What makes a strong candidate for this MLOps Engineer position?

Strong candidates are engineers passionate about challenging projects who can contribute both technically and non-technically, with experience in distributed backend systems and interest in data, scalability, and continuous development.

Weave

Patient communication solutions for healthcare providers

About Weave

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.

Lehi, UtahHeadquarters

2008Year Founded

$143MTotal Funding

IPOCompany Stage

Enterprise Software, HealthcareIndustries

501-1,000Employees

Risks

Increased competition from fast-growing companies like Pure Healthcare.

Slow adoption of digital payment solutions in healthcare may hinder Weave's features.

Economic downturns could affect subscription-based revenue models for healthcare practices.

Differentiation

Weave integrates AI tools for enhanced communication and scheduling in healthcare.

Weave offers a comprehensive suite of tools for dental and optometry practices.

Weave's platform supports virtual waiting rooms and remote communication options.

Upsides

Weave's new platform interface integrates AI for improved user experience.

Payment Reminders feature helps healthcare practices collect outstanding balances efficiently.

Weave's partner marketplace enhances operational efficiency for healthcare practices.

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