[Remote] Staff Machine Learning Engineer, Gen AI at Weave

United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

High integrity, team-focused approach, and collaboration skills to build tight-knit relationships across Weave with various roles and stakeholders
Responsive person with a strong bias for action
8+ years of experience in Machine Learning or AI, preferably with a focus on natural language
Experience moving and storing TBs of data or 100M’s to 10B’s of records
Experience building and deploying ML driven B2B multi-tenant applications in production environments at scale for external products and customers
Experience with common ML technologies such as Python, Jupyter, Workflow Engines (Dagster, MLFlow, KubeFlow, etc), DVC, Triton Server, LLMs, Postgres, and others
Experience with modern ML tools, techniques, and evaluation such as LLMs, RAG, Prompt Engineering, Fine Tuning, LLM evaluations, multi-modal models, and others
Experience with data labelling or annotation for audio or text use cases
Understanding of working in a cloud environment with distributed components and services

Responsibilities

Design and develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products
Consult with teams to help them understand common patterns, anti-patterns, and tradeoffs of machine learning; guide them through creating excellent customer experiences end to end
Build scalable, resilient services to support data integration, event processing, and platform extensions
Contribute to the continued evolution of product functionality that services large amounts of data and traffic
Write code that is high-quality, performant, sustainable, and testable while holding yourself accountable for the quality of the code you produce
Coach and collaborate inside and outside the team, helping others grow by sharing expertise and encouraging best practices
Work with stakeholders to translate product goals into actionable engineering plans

Skills

Key technologies and capabilities for this role

Machine LearningGen AIDistributed SystemsBackend DevelopmentData EngineeringScalabilityML InfrastructureML ModelsData LifecycleAgileDevOps

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position in the US, with an opportunity to work in the office if located near the Lehi, UT Headquarters.

What skills are required for this Machine Learning Engineer role?

Key skills include designing and developing machine learning infrastructure, tooling, and models; building scalable, resilient services for data integration and event processing; working in cloud environments with distributed components; and coaching teams on machine learning patterns and best practices.

What is the team structure like at Weave?

Teams are cross-functional agile teams composed of a product owner, backend and frontend devs, and devops, and they are highly autonomous with ownership to act in Weave’s best interest.

What is the company culture like for this role?

Weave fosters a phenomenal culture with self-empowered, highly autonomous teams of talented developers who share interests in distributed systems, data, and scalability, emphasizing collaboration, coaching, and working closely with others to help them grow.

What makes a strong candidate for this position?

Strong candidates are engineers hungry for fun challenges who can contribute technically and non-technically, write high-quality, performant, sustainable, and testable code, enjoy coaching and collaborating with teams, and have experience with machine learning infrastructure, scalable services, and distributed cloud systems.

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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