Interested in this AI/ML Engineer role at Curai Health?
Apply Now →About This Role
At Curai, we believe that access to high\-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone.
Curai is a health tech company on a mission to expand access to affordable, high\-quality primary care for everyone. Since 2017, we've operated an AI\-powered virtual primary care platform that has delivered over 700,000 patient visits, using AI to help our clinicians work more effectively at scale. We're now publishing the first proof that AI can reason as well as clinicians in live clinical environments — demonstrating the feasibility of autonomous AI in primary care. We're building toward a future where autonomous AI can deliver safe, accurate primary care at scale. Research is core to how we operate, with 24 peer\-reviewed papers and over 740 citations in top venues including Machine Learning for Health, NAACL, and ACL. See our publications
### About the Clinical Informaticist / Clinical AI Specialist
We're looking for a Clinical Informaticist / Clinical AI Specialist to sit at the intersection of medicine and AI. You'll be part of a small clinical AI team shaping how great primary care actually works into logic, workflows, and evaluation frameworks that shape the products our providers and patients rely on every day.
This is a high\-impact, highly visible role. You'll be joining an interdisciplinary AI team made up of clinical experts, AI researchers, and engineers — a rare environment where medical and technical rigor sit side by side. You'll collaborate broadly across the company: partnering with engineers and product teams to shape what gets built, and working directly alongside the clinical team delivering care to patients every day. It's a unique vantage point that keeps your work grounded in both technical possibility and real\-world clinical practice.
### What You'll Do
- Define what good looks like for AI\-augmented primary care, setting the clinical standards and safety guardrails our models and products are held to.
- Contribute to provider and patient\-facing AI applications, including building multi\-agent architectures for solving clinical and subclinical problems across acute and chronic care management, and translating clinical best practices and guidelines into structured logic for grounding LLMs.
- Lead or co\-author clinical research publications in top\-tier journals.
- Work fluidly across AI, product, design, and operations, communicating complex clinical concepts clearly to non\-clinical audiences.
### What You'll Bring
Required:
- Clinician with 1\+ years of post\-residency clinical experience
- Demonstrated experience developing or evaluating AI/ML solutions in a clinical or research context
- Hands\-on experience working with large language models
- Exceptional communication skills — you can explain clinical nuance to an engineer and technical tradeoffs to a clinician
Strongly preferred:
- Experience designing and executing clinical or scientific research
- Familiarity with IRB processes, state medical boards, or FDA regulatory frameworks
- Background in software development or clinical informatics
### Who Thrives Here
You're a physician who's energized by the idea that technology, done right, can dramatically improve how care is delivered. You're comfortable with ambiguity, curious about tradeoffs, and motivated by problems that don't have clean answers yet. You want your work to matter — at scale.Salary: $240,000 \- $300,000/year
Compensation: The pay range listed for this position reflects what Curai Health reasonably and in good faith expects to pay at the time of posting. Actual base salary will depend on a variety of factors, including your qualifications and years of relevant experience.
Culture: A mission\-driven team of talented colleagues who are committed to living our values, collaborating closely, and driving meaningful impact in healthcare.
Benefits:
- Comprehensive medical, dental, and vision coverage
- Flexible spending plans
- Generous and flexible Paid Time Off (PTO), floating holidays, and parental leave
- 401k plan with employer matching
- 100% remote — work from home
Curai Health is an equal opportunity employer and is deeply committed to building a diverse and inclusive workforce. In keeping with our beliefs and values, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital or domestic partner status, sexual orientation, gender identity, disability status, veteran status, or any other legally protected characteristic. To promote an equitable and bias\-free workplace, we set competitive compensation packages for each position and do not negotiate on our offers. We are looking for mission\-driven teammates who embody our core values and appreciate our transparent approach.
*Beware of job scam fraudsters! Our company uses @curai.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank account or social security numbers. If you have been contacted by someone claiming to be from Curai from a different domain about a job offer, please report it as potential job fraud to law enforcement and contact us at* *[email protected]**.*
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Salary Context
This $240K-$300K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $175K across 2162 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 4,317 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At Curai Health, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills in Demand for This Role
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $214,900 based on 6,420 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $194,400. This role's midpoint ($270K) sits 26% above the category median. Disclosed range: $240K to $300K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Curai Health AI Hiring
Curai Health has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Remote, US. Compensation range: $300K - $300K.
Remote Work Context
Remote AI roles pay a median of $180,000 across 1,196 positions. About 15% of all AI roles offer remote work.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (138) are outnumbered by mid-level (2,071) and senior (1,655) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $287,500 median, while Prompt Engineer roles sit at $145,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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