NLP Engineer
6 days ago
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.
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
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.
What we can offer you:
- Competitive salary and pre-IPO stock options
- 100% company-paid medical, dental and vision insurance (for employee)
- Mental & Behavioral Health Benefits
- Flexible paid time off
- Leave programs for life events
- 401(k)
- Team Building Events & Happy Hours
- A great company culture with a strong emphasis on diversity, equity and inclusion
Infinitus is automating routine tedious administrative work for healthcare workers. Tens of millions of Americans are under medical debt, and over half of healthcare workers are concerned about burnout. We are working to bring down costs, get patients to care faster, and free up healthcare workers to focus on patients.
We're a team of ex-Googlers, startup veterans, industry and healthcare experts. We're backed by Kleiner Perkins, Coatue Management, Andreessen Horowitz and Google Ventures, along with individual investments from a selection of executives across AI and tech: Ian Goodfellow, Gokul Rajaram, Aparna Chennapragada and Qasar Younis.
At Infinitus Systems, we are 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.
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