# Ladders — Engineering Manager - AI/ML (Remote)

- Generated: 2026-09-24 11:20:30 AM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4471435694/
- Provider: LinkedIn
- Posting time: 2 hours ago
- Applicants: Be among the first 25 applicants
- Work model/location: Remote — United States; end employer unidentified
- Compensation: $135,000-$160,000 annually
- Travel: Not disclosed
- Positioning track: Technical manager
- Fit outcome: FAIL — 72%

## Evidence map and direct-match strengths

AI engineering leadership, backend/cloud systems, production LLM features, MLOps, observability, hiring, coaching, and healthcare technology are relevant.

## Hard or material gaps

Hard compensation failure: the disclosed maximum is $160,000, below Keith's $200,000 threshold. Feature-store and search-relevance depth are also less direct than his broader production AI/platform record.

## Full normalized job description

For our client, we are seeking a Engineering Manager - AI/ML (Remote) to join the team of a leader in the Healthcare space.
This role will lead a high-impact AI engineering function focused on building and scaling applied machine learning capabilities that support user-facing experiences and backend systems. You will partner closely with cross-functional stakeholders to deliver production-ready AI features while ensuring reliability, scalability, and strong clinical safety standards. The position combines people leadership with hands-on technical oversight across core ML infrastructure, model deployment, and rapid feature delivery. This is an opportunity to shape the engineering foundation for AI-driven innovation in a healthcare environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $135,000 – $160,000 annually
Responsibilities
Lead the AI engineering team to deliver user-facing features rapidly.
Architect core AI/ML infrastructure, including feature stores and AI observability.
Foster a culture of high talent density within the engineering team.
Ensure model scalability with a strong focus on clinical safety.
Apply Radical Candor in coaching and mentoring the engineering team.
Qualifications
8+ years in software engineering and machine learning, with 5+ years designing scalable backend systems in cloud environments (AWS, GCP, etc.).
3+ years of experience as an engineering manager with a track record of hiring and managing Senior and Staff engineers.
3+ years of experience building core ML infrastructure such as feature stores and MLOps pipelines.
2+ years of experience developing production-ready applied AI features, with a focus on LLM integrations and search relevance engines.
Proven ability to manage the delivery of user-facing features and backend infrastructure across multiple production cycles.
Benefits
100% remote work with a healthy work-life balance.
Comprehensive health benefits including medical, dental, and vision.
401(k) plan access for your future savings.
Generous time-off policies with company-wide shutdown weeks.
Paid parental leave for all parents, including adoption and fostering.
Quarterly department stipends for team-building activities.
Home office stipend and monthly internet stipend.
Wellness initiatives and monthly wellness stipend.
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.