Senior Machine Learning Engineer

ABOUT ARTERA

Our Mission: Make healthcare #1 in customer service.

What We Deliver: Artera, a SaaS leader in digital health, transforms patient experience with AI-powered virtual agents (voice and text) for every step of the patient journey. Artera’s virtual agents support front desk staff to improve patient access including self-scheduling, intake, forms, billing and more. Whether augmenting a team or unleashing a fully autonomous digital workforce, Artera offers multiple virtual agent options to meet healthcare organizations where they are in their AI journey. Artera helps support 2B communications in 109 languages across voice, text and web. A decade of healthcare expertise, powered by AI. 

Our Impact: Trusted by 900+ provider organizations — including specialty groups, FQHCs, large IDNs and federal agencies — engaging 100 million patients annually. 

Our award-winning culture: Since founding in 2015, Artera has consistently been recognized for its innovative technology, business growth, and named a top place to work. Examples of these accolades include: Inc. 5000 Fastest Growing Private Companies (2020, 2021, 2022, 2023, 2024); Deloitte Technology Fast 500 (2021, 2022, 2023, 2024); Built In Best Companies to Work For (2021, 2022, 2023, 2024, 2025). Artera has also been recognized by Forbes as one of “America’s Best Startup Employers,” Newsweek as one of the “World’s Best Digital Health Companies,” and named one of the top “44 Startups to Bet your Career on in 2024” by Business Insider.

SUMMARY

At Artera, we’re reimagining how patients connect with their care teams through smart, meaningful, and autonomous conversations. Our Digiorno team (ML team) is partnering with our Engineering foundations team to champion this effort, building AI experiences that do more than respond, they take action. From scheduling appointments to following up on care plans, our agents handle real patient needs in real time, making healthcare more accessible and efficient for everyone involved.

This role offers the chance to work on the frontier of agentic AI, applying cutting-edge technologies like LLMs and co-pilot frameworks to real-world healthcare use cases. Unlike many companies still laying the groundwork, Artera has the structured data, workflows, and operational maturity to deliver AI that’s not only intelligent but trusted and useful. As a Senior Machine Learning Engineer on this team, you’ll move fast, collaborate cross-functionally, and bring AI agents from discovery all the way through production, helping to shape the future of patient experience in healthcare.

• Build and ship production-ready AI agents that automate key healthcare workflows (e.g., appointment setting, follow-up care, password resets).
• Design and implement workflows and scripts for agentic conversations based on patient flows and real-world data.
• Collaborate closely with Engineering Foundations, Product, Design, and Engineering teams to perform discovery and guide the development of use-case-driven agents.
• Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Design evaluation agents to enhance the quality and coherence of autonomous conversations.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.

• Bachelor’s degree in a STEM field, or equivalent practical experience. Master’s or PhD holders may substitute for years of industry experience.
• 5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts).
• Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Cloud infrastructure experience, ideally AWS.
• Understanding of MLOps, including orchestration tools like Airflow or Dagster.
• Strong collaboration skills—comfortable working with PMs, designers, and engineers.

• Experience building consumer-facing agents in healthcare, finance, or other highly regulated spaces.
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

OUR APPROACH TO WORK LOCATION

Artera has hybrid office locations in Santa Barbara, CA, and Philadelphia (Wayne), PA, where team members typically come in three days a week. Specific frequency can vary depending on your team's needs, manager expectations and/or role responsibilities.

In addition to our U.S. office locations, we are intentionally building geographically concentrated teams in several key metropolitan areas, which we call our “Hiring Hubs.” We are currently hiring remote candidates located within the following hiring hubs:

- Boston Metro Area, MA

- Chicago Metro Area, IL

- Denver Metro Area, CO

- Kansas City Metro Area (KS/MO)

- Los Angeles Metro Area, CA

- San Francisco / Bay Area, CA

- Seattle Metro Area, WA

This hub-based model helps us cultivate strong local connections and team cohesion, even in a distributed environment. 

To be eligible for employment at Artera, candidates must reside in one of our hybrid office cities or one of the designated hiring hubs. Specific roles may call out location preferences when relevant.

As our hubs grow, we may establish local offices to further enhance in-person connection and collaboration. While there are no current plans in place, should an office open in your area, we anticipate implementing a hybrid model. Any future attendance expectations would be developed thoughtfully, considering factors like typical commute times and access to public transit, to ensure they are fair and practical for the local team.

WORKING AT ARTERA 

Company benefits - Full health benefits (medical, dental, and vision), flexible spending accounts, company paid life insurance, company paid short-term & long-term disability, company equity, voluntary benefits, 401(k) and more! 

Career development - Manager development cohorts, employee development funds

Generous time off - Company holidays, Winter & Summer break, and flexible time off

Employee Resource Groups (ERGs) - We believe that everyone should belong at their workplace. Our ERGs are available for identifying employees or allies to join. 

EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT

Artera is an Equal Opportunity Employer and is committed to fair and equitable hiring practices. All hiring decisions at Artera are based on strategic business needs, job requirements and individual qualifications. All candidates are considered without regard to race, color, religion, gender, sexuality, national origin, age, disability, genetics or any other protected status. 

Artera is committed to providing employees with a work environment free of discrimination and harassment; Artera will not tolerate discrimination or harassment of any kind.

Artera provides reasonable accommodations for applicants and employees in compliance with state and federal laws. If you need an accommodation, please reach out to [email protected].

DATA PRIVACY

Artera values your privacy. By submitting your application, you consent to the processing of your personal information provided in conjunction with your application. For more information please refer to our Privacy Policy.

SECURITY REQUIREMENTS

All employees are responsible for protecting the confidentiality, integrity, and availability of the organization’s systems and data, including safeguarding Artera’s sensitive information such as, Personal identifiable Information (PII) and Protected Health Information (PHI). Those with specific security or privacy responsibilities must ensure compliance with organizational policies, regulatory requirements, and applicable standards and frameworks by implementing safeguards, monitoring for threats, reporting incidents, and addressing data handling risks or breaches.