Senior Machine Learning Engineer
AiwynSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Software Development, Artificial Intelligence, Data Science, AI & Machine LearningIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, and have at least 5 years of experience in machine learning engineering. Strong experience with distributed backend systems, data, and scalability is essential, along with a demonstrated ability to design and develop machine learning infrastructure and tooling. Experience building models at scale and working with large datasets is also required.
Responsibilities
As a Senior Machine Learning Engineer, you will design and develop machine learning infrastructure, tooling, and models to support product innovation and enable teams to build AI-powered applications. You will consult with teams to help them understand the data lifecycle and incorporate AI into their features, build scalable and resilient services, and contribute to the continued evolution of product functionality. Additionally, you will coach and collaborate with others, working closely with stakeholders to translate product goals into actionable engineering plans and ensuring the quality and sustainability of your code.
Skills
Machine Learning
Data Infrastructure
Model Development
Data Lifecycle
AI-powered features
Scalability
Distributed Backend Systems
Data Integration
Event Processing
Platform Development
Code Quality
Performance Optimization
Testing
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