Phare Health02.03.26
AI SCORE 8.5

Staff AI Engineer - Remote Position at Phare Health

$140K–$350K/year

About the Role

Phare Health is excited to announce an opening for a Staff AI Engineer to join our innovative team. This remote Staff AI Engineer position offers a unique opportunity to contribute to our mission of transforming healthcare financial performance through AI-driven solutions. As a pivotal member of the R37 team, you will help shape the future of revenue cycle management by developing cutting-edge AI systems that address complex unstructured data challenges in healthcare.

What You'll Do

  • Lead AI Development: Spearhead the creation of initial-phase AI systems for retrieval, ranking, categorization, and generative AI features on unstructured healthcare data.
  • Outcome-Driven Engineering: Deliver outcomes through software and models, ensuring projects align with business objectives.
  • AI System Design: Design AI abstractions and components that address complex business problems in a logical and maintainable manner.
  • Maintain AI Systems: Ensure reliability, performance, and operational excellence in AI production environments.
  • Scientific Decision-Making: Be accountable for scientific decisions, ensuring proper evaluation datasets and correct metrics.
  • Mentorship: Provide mentorship and promote best practices in data and AI while fostering a collaborative team culture.
  • Team Growth: Contribute to team growth by improving hiring and recruiting outstanding AI talent.

Requirements

  • Proven experience building and operating production AI systems such as Search, Ranking, or generative AI products at a significant scale.
  • Comfort in prototyping and pathfinding new opportunities that lead to successful 0→1 projects.
  • Experience implementing the full lifecycle of early-phase AI development, from ideation to production.
  • Strong understanding of deep product and business knowledge to connect modeling tasks with business value.
  • Experience developing models using tools like PyTorch, TensorFlow, and deploying to production with Databricks, AWS Bedrock, or Azure ML.

Nice to Have

  • A relevant advanced degree (master's or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field.

What We Offer

  • Competitive salary range of $140,000 to $350,000 per year.
  • Participation in our annual bonus plan.
  • Opportunities for continuous learning and career advancement.
  • A collaborative and inclusive team culture.
  • Comprehensive benefits package including health, wellness, and community involvement.

Join us as a Staff AI Engineer and be part of a team that is dedicated to making a difference in healthcare through innovative AI solutions. Apply now to embark on a rewarding career path!

Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Staff AI Engineer position at Phare Health offers a unique opportunity to lead AI development in the healthcare sector. With a competitive salary and remote work flexibility, it's an exciting role for experienced AI professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in AI frameworks such as PyTorch and TensorFlow, with a strong portfolio showcasing successful implementations of machine learning algorithms in healthcare applications.

Self-motivated and disciplined, able to thrive in a fully remote work environment, demonstrating excellent time management skills and the ability to collaborate effectively across different time zones.

Deep understanding of cloud platforms like AWS and Azure, with experience deploying machine learning models at scale, and a mindset focused on continuous learning and adaptation to new technologies.

Learning Resources

Deep Learning with PyTorch: A 60 Minute Blitzguide

Career Path

Staff AI Engineer - Remote(Now)Lead AI Engineer(1-2 years)AI Solutions Architect(3-5 years)

Market Overview

Market Size 2024
$126B
Annual Growth
38.1%
AI Adoption
72%
Investment
+150%
Labour Demand
+40%
Avg Salary
$165K

Skills & Requirements

Required
AI DevelopmentMachine LearningDeep Learning
Growing in Demand
Natural Language Processing (NLP)Reinforcement LearningMLOps
Declining
R (Statistical Computing)SAS (Statistical Analysis System)

Domain Trends

Increased Automation in AI Development
Automation tools for AI development are expected to increase productivity by 30% by 2025, allowing engineers to focus on more complex tasks.
Ethical AI and Governance
Over 60% of organizations are prioritizing ethical AI practices, leading to a surge in demand for AI engineers who can integrate governance frameworks.
Shift to Cloud-Based AI Solutions
The market for cloud-based AI services is projected to grow by 45% annually, with major platforms like AWS and Azure leading the charge.

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