Staff Machine Learning Engineer

India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Software DevelopmentIndustries

Requirements

Candidates should possess 8+ years of experience in Machine Learning or AI, with a preference for natural language focus. Experience in handling terabytes of data or hundreds of millions to billions of records is essential, as is proven experience building and deploying scalable ML-driven B2B multi-tenant applications for external products. Familiarity with common ML technologies like Python, Jupyter, workflow engines (Dagster, MLFlow, KubeFlow), DVC, Triton Server, LLMs, and Postgres is required, along with knowledge of modern ML tools and techniques such as RAG, Prompt Engineering, Fine Tuning, LLM evaluations, and multi-modal models. Experience with data labeling for audio or text use cases and an understanding of distributed systems are also necessary.

Responsibilities

The Staff Machine Learning Engineer will design and develop machine learning infrastructure, tooling, and models to enhance customer experiences. They will educate product and development teams on the data lifecycle and the experimental nature of machine learning. Responsibilities include building internal products and platforms to facilitate AI integration into features, consulting with teams on ML patterns and tradeoffs, and guiding them in creating end-to-end customer experiences. The role involves building scalable, resilient services for data integration and event processing, contributing to product functionality evolution for large data volumes, and writing high-quality, performant, sustainable, and testable code. Additionally, the engineer will coach and collaborate with team members, work within a cloud environment with distributed components, and translate product goals into actionable engineering plans with stakeholders.

Skills

Machine Learning

Data Lifecycle

Distributed Backend Systems

Scalability

Model Development

Infrastructure

Tooling

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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