ML Engineer (Early Career-Mid Career)

Help Build the Future of Healthcare AI

Hi! We’re Infinitus — the first trusted voice AI platform transforming healthcare.

Built by ex-Googlers, startup veterans, and industry pros, our AI boosts productivity, slashes admin burden, and creates new ways to support patients with chronic conditions. We scale connections between patients, payors, and providers — empowering care teams and improving health outcomes.

The Mission

At Infinitus, our mission is simple: create time for healthcare by making access, adherence, and affordability easier than ever. Using multimodal AI, human-in-the-loop systems, and a rich knowledge graph, we’ve automated over 5 million calls—saving millions of hours for patients and providers.

Backed by top investors like Kleiner Perkins, Google Ventures, and a16z, we’re a team that loves to challenge the status quo and move fast at the intersection of AI and healthcare.

We are in search of a Machine Learning Engineer to own, drive, and design our AI automation systems. We are scaling our end-to-end phone call automation use cases, serving an increasing number of customers with a diverse set of tasks handled by our AI automation systems.

This is an opportunity to:

• Apply strategic AI thinking to solution development.

• Mentor, guide, and influence teams of engineers.

• Engage in hands-on, impactful work that directly benefits customers and the business.

Our AI automation systems blend traditional machine learning, deep learning, and large language models (LLMs) to maximize performance and scalability. We welcome candidates with expertise in either ML engineering (feature engineering, modeling, optimization, serving etc.) or AI engineering (prompt design, LLM fine-tuning, evaluation, LLM serving & inference optimization, memory and context management, etc.)—or ideally, a combination of both.

Competencies:

• Has delivered, scaled and maintained a successful AI product in industry.

• Has a practical, data-driven mindset towards AI approaches, making informed decisions that consider time, compute, robustness, and fairness.

• Has led and aligned teams of engineers, data scientists, and ML researchers on technical design and implementation.

• Has shown entrepreneurial spirit (e.g. worked at an early stage startup, or launched a product from the ground up).

• Can prioritize and scope development based on business and product needs.

• Has led technical excellence efforts, ensuring best practices for productionized ML systems.

• Is a prolific individual contributor, setting high standards for software quality, technical design, and end-to-end ownership.

• Is a great cross functional communicator, collaborating with product managers, designers, and analysts to understand user needs and build impactful products.

• Contributes to both short and long term roadmaps, making effective tradeoffs between impact, user experience, and a high-quality technical foundation.

• Helps improve the team and company culture, actively participating in hiring, mentoring, and 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 ML 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.

• A 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 automation, enhancing healthcare experiences for an increasing number of customers and patients.

• Shape the future: help define and execute our technical AI roadmap, developing novel approaches that drive real-world impact.

Why You’ll Love It Here

• Hybrid work (SF office Mon/Tues/Thurs) + catered lunches

• Competitive salary, equity, and 401(k)

• Wellness stipend & great benefits (medical, dental, vision)

• Generous PTO & parental leave

• Bi-annual offsites & a collaborative, mission-driven culture
  

What to Expect in the Interview Process

• Apply & meet our recruiting team

• Virtual Interviews to showcase your skills

• Final onsite loop to meet the team and get to know us better
  

Curious to Learn More?

• Read our Blog to hear from Infinauts about what we’re building

• Discover how our company values (CODES) guide us

• Follow our CEO, Ankit Jain, for industry updates
  

We’re building AI agents that tackle healthcare’s toughest problems and open new possibilities. Ready to join us? Let’s talk!
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.