Principal AI Engineer - Personalization and Recommendation
About the role
For our client, we are seeking a Principal AI Engineer - Personalization and Recommendation to join the team of a leader in the Healthcare space.
This role will shape the applied AI and ML capabilities that support personalized healthcare experiences at scale. You will own the technical direction for recommendation and matching systems that help connect patients with the right clinical resources and streamline operational workflows. The position partners closely with product, engineering, and clinical stakeholders to deliver safe, reliable, and scalable AI solutions. This is an opportunity to influence the architecture, standards, and infrastructure behind mission-critical ML initiatives in a healthcare environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $150,000 – $180,000 annually
Responsibilities
Own applied AI and ML solutions supporting healthcare experiences
Design production-grade AI systems for patient-provider matching and clinical workflows
Develop advanced recommendation engines and retrieval models
Set technical standards for AI safety in clinical environments
Lead the buildout of core ML infrastructure for scalability
Qualifications
10+ years of software engineering experience, including 7+ years designing and scaling distributed systems
5+ years of experience with search, ranking, relevance, or recommendation engines
Strong programming skills in Python and another backend language such as TypeScript, Java, or Go
Proven experience with traditional search infrastructure and modern vector databases
3+ years of MLOps experience and experience defining AI/ML technical strategy
Benefits
100% remote work environment with flexible hours
Comprehensive health benefits including medical and dental
401(k) plan access to support savings
Generous time-off policies including self-care weeks
Paid parental leave for all types of parents
Employee Assistance Program for mental and physical health support
Home office stipend and monthly internet allowance
Wellness stipend for year-round wellness initiatives
Access to community and employee resource groups promoting diversity and inclusion
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Own applied AI and ML solutions supporting healthcare experiences
- Design production-grade AI systems for patient-provider matching and clinical workflows
- Develop advanced recommendation engines and retrieval models
- Set technical standards for AI safety in clinical environments
- Lead the buildout of core ML infrastructure for scalability
Qualifications
- 10+ years of software engineering experience, including 7+ years designing and scaling distributed systems
- 5+ years of experience with search, ranking, relevance, or recommendation engines
- Strong programming skills in Python and another backend language such as TypeScript, Java, or Go
- Proven experience with traditional search infrastructure and modern vector databases
- 3+ years of MLOps experience and experience defining AI/ML technical strategy
Benefits
- 100% remote work environment with flexible hours
- Comprehensive health benefits including medical and dental
- 401(k) plan access to support savings
- Generous time-off policies including self-care weeks
- Paid parental leave for all types of parents
- Employee Assistance Program for mental and physical health support
- Home office stipend and monthly internet allowance
- Wellness stipend for year-round wellness initiatives
- Access to community and employee resource groups promoting diversity and inclusion
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.