Senior Machine Learning Engineer

Los Angeles, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare Technology, Artificial Intelligence, SaaSIndustries

Requirements

Candidates should possess a Bachelor’s degree in a STEM field, or equivalent practical experience, and may hold a Master’s or PhD. They must demonstrate experience in building and shipping production-ready AI agents, designing workflows, implementing NLP and LLM components, and working within an MLOps environment. Experience with sentiment analysis, real-time conversation evaluation, and behavior optimization is also required.

Responsibilities

As a Senior Machine Learning Engineer, the individual will be responsible for building and shipping AI agents that automate healthcare workflows, collaborating with cross-functional teams, conducting end-to-end development including data gathering and productionizing, implementing NLP and LLM-powered components, designing evaluation agents, contributing to analytics and predictive features, and translating complex ML workflows for stakeholders. They will also contribute to backlog velocity and own appropriate tickets to deliver high-impact work.

Skills

Machine Learning

Virtual Agents

NLP

Healthcare AI

Customer Service Automation

Artera

SaaS digital health messaging integration platform

About Artera

Artera is a compelling workplace due to its critical role in improving healthcare communication, orchestrating over 2.2 billion messages annually across diverse channels like texting, email, and webchat. The company not only facilitates efficient healthcare staff operations and profitability for organizations but also enhances overall patient experience by supporting services in over 109 languages. This broad impact in healthcare through high-level integration with EHRs and third-party vendors positions Artera as a leader in the digital health sector.

Santa Barbara, CaliforniaHeadquarters

2015Year Founded

$148.4MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees

Risks

Emerging startups may erode Artera's market share.

Integration challenges with new EHR/EMR systems could arise.

Stricter data privacy regulations may impact Artera's operations.

Differentiation

Artera integrates seamlessly with EHRs/EMRs, enhancing patient communication efficiency.

Recognized as a two-time Best in KLAS winner for Patient Outreach.

Ranked on the Inc. 5000 list for four consecutive years.

Upsides

Increased telehealth adoption boosts demand for Artera's integrated platform.

AI-driven solutions enhance Artera's personalized patient communication capabilities.

Value-based care models align with Artera's focus on improving patient outcomes.

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