NLP Engineer (Senior)

Hi. We're Infinitus. We're a team of ex-Googlers, startup veterans, and industry experts on a mission to build AI that improves how Americans get access to critical specialty medications. Our purpose-built AI system automates phone calls to insurance companies, pharmacy benefit managers, and pharmacies to make the business of caring for people less "business," more "people."


Our approach combines multi-model/multimodal AI, human-in-the-loop machine learning, and an extensive knowledge graph to conduct accurate, compliant, autonomous conversations between organizations. Since Infinitus was founded over five years ago, we’ve automated over 3 million calls, processed more than 42 million minutes of audio, and saved the US healthcare system thousands of hours.


We’ve raised $102.9M from the best venture capitalists and many industry leaders such as Kleiner Perkins, Coatue Management, Google Ventures, a16z and Andreessen Horowitz. If you're looking to join a dynamic team at the forefront of AI and health tech, and you’re ready to challenge "how it's always been done," we want to meet you.



About the role: 


We are in search of a Senior NLP Engineer to help own, drive, and design our automation systems. We are scaling our end to end phone call automation with an increasing number of customers and a diverse set of tasks that our AI Agent will handle. If Applied AI & NLP applied in Healthcare at scale peak your interest, we would love to talk to you. This is an opportunity to apply your strategic AI thinking for solution development, mentor, guide and influence teams of engineers and do impactful hands-on work to produce direct customer and business impact. 


Competencies


  • Has delivered, scaled and maintained a successful AI product in industry.
  • Has a practical, data-driven mindset towards AI approaches. Is able to stay up to date with the latest models and make decisions that consider practical implications including time, compute, robustness, and fairness.
  • Has led and built alignment on teams of engineers, data scientists, ML researchers, etc. on technical design, and implementation. 
  • Has shown entrepreneurial spirit (e.g. worked at an early stage startup, or has started and delivered on a new product from the ground-up). 
  • Is able to prioritize and scope development from a business and product perspective.
  • Has led technical excellence efforts, and can think through best practices for productionized ML systems.
  • Is a prolific individual contributor, who role models developing quality software, technical design, and end to end ownership.
  • Great cross functional communicator, who partners with product managers, designers, and analysts to deeply understand the needs of our users and build a product that serves those needs. 
  • Contribute to the short and long term roadmaps, and make effective tradeoffs between impact, user experience, and a high-quality technical foundation. 
  • Improve the team and company - be an active participant in our culture (hiring, mentoring, new initiatives). 
  • Aligns with our values of: Customer Obsessed; Optimistic; Disagree+Commit; Engage Employees; See, Say, Do.

What’s the impact:

  • Be part of something groundbreaking: join a team that is at the forefront of agentic AI, pushing the boundaries of what’s possible in healthcare automation.
  • Impact at scale: drive the evolution of our AI Agent as we scale our system to meet the needs of an increasing number of healthcare customers, improving the experience for countless patients.
  • Shape the future: help define and execute our technical AI roadmap, contributing to novel approaches that drive impact to an increasing number of healthcare customers, improving the experience for countless patients.

Minimum Requirements: 

  • 5 years of hands-on engineering experience, with demonstrated growth
  • 2 years of experience working in applied AI or NLP in practical, industry settings
  • Experience building and scaling end to end ML models and pipelines in production environments
  • Demonstrated ability to drive projects from concept through completion
  • Expertise in Python
  • Strong communication skills 
  • Undergrad, Masters, or equivalent coursework in ML or NLP
  • Curiosity to continue to learn and stay up to date on machine learning, engineering and infrastructure technologies 


Infinitus Systems, Inc. is building AI solutions to make healthcare “wait-less,” to remove the obstacles that hinder patient care by handling the tedious back-office phone calls required for therapy and procedure approval. We believe deeply in the infinite possibilities of AI, its potential to transform healthcare, and our ability as a team to make it happen.


Infinitus Systems is committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Infinitus Systems believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.


Engineering

San Francisco, CA

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