Weave

Machine Learning Ops Engineer

United States

Weave Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Requirements

Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 3 years of experience in DevOps or a similar role, with a strong understanding of cloud technologies, particularly AWS or Google Cloud. Experience with containerization technologies like Docker and Kubernetes is essential, along with familiarity with CI/CD pipelines and infrastructure-as-code tools. Strong programming skills in Python or Go are required, and experience with machine learning operations principles and tools is highly desirable.

Responsibilities

The Machine Learning Ops Engineer will design and develop machine learning infrastructure, tooling, and models to enable teams to deliver world-class experiences, and will build internal products and platforms to support data integration, event processing, and platform extensions. They will also consult with teams to help them understand common patterns and tradeoffs of machine learning, guide them through creating excellent customer experiences, and contribute to the continued evolution of product functionality that services large amounts of data and traffic.

Skills

Distributed backend systems
Data
Scalability
Machine learning infrastructure
Data lifecycle
AI platform development
Cloud environment
Resilient services
Data integration
Performance optimization
Testing
Collaboration
Engineering planning

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.

Key Metrics

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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