Staff Applied AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish a technical strategy for various AI initiatives, steering architectural choices, influencing product and research directions, and ensuring alignment of engineering investments across teams to enhance long-term business and clinical outcomes.

• Design, construct, train, assess, and refine advanced machine learning and LLM-based systems for products aimed at patients and providers (e.g., conversational AI, personalization, user comprehension, clinical decision support, chronic care management).

• Manage problems from start to finish: define the issue with clinicians and product partners, create datasets and evaluations, iterate on modeling, and deploy into production with appropriate monitoring and safeguards.

• Develop robust evaluation frameworks — including offline benchmarks, human-in-the-loop assessments, and online experiments — that provide assurance that our models are safe, accurate, and continuously improving.

• Enhance the platform that enables the team to operate efficiently: data pipelines, training and inference infrastructure, prompt and model management, and tools for clinical reviewers.

• Collaborate closely with clinicians, product managers, and engineers to translate medical and operational requirements into machine learning challenges, delivering measurable enhancements to patient and clinician experiences.

• Define the technical trajectory for your domain, mentor fellow engineers, and elevate standards of engineering and scientific rigor. Leadership scope expands with seniority.

• Stay informed about current literature and the swiftly changing AI landscape; bring back applicable insights that benefit both our patients and our team.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Software Engineering, Mathematics, or a related technical field.

• Over 5 years of practical engineering experience, including at least 2 years focused on building and deploying machine learning systems, particularly in generative AI (LLMs), with a proven impact record.

• Strong foundation in software engineering, with the capability to deliver reliable, thoroughly tested code in Python (or a similar language) within a production setting.

• Practical knowledge of contemporary LLM techniques: prompting, retrieval-augmented generation, fine-tuning, evaluation, and understanding the trade-offs involved.

• Proficiency in handling messy, real-world data and designing evaluations to ascertain whether a system is functioning as intended.

• Excellent written and verbal communication skills; ability to collaborate effectively with clinicians, product managers, and engineers from various disciplines.

• A proactive mindset and a sense of ownership: you can take an ambiguous challenge, drive it to a conclusion, and involve others in the process.

• A commitment to the mission. You aspire for your work to lead to improved health outcomes for actual patients.

🏝️ Benefits

• Comprehensive medical, dental, and vision insurance.

• Flexible spending options.

• Generous and adaptable Paid Time Off (PTO), floating holidays, and parental leave.

• 401k plan with employer matching.

• Fully remote — work from home.