AI / Machine Learning Engineer (Senior)

Kouperhealth; San Francisco (CA); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading healthcare technology company is seeking a Senior AI/Machine Learning Engineer to develop innovative conversational AI solutions. You will collaborate with cross-functional teams to enhance patient engagement and healthcare outcomes, while working in a dynamic startup environment. This role offers the opportunity to make a significant impact on real patient lives through cutting-edge technology.

Benefits

Competitive salary and equity package

Flexible work environment and remote options

Comprehensive health benefits

Professional development budget

Qualifications

• 4+ years of experience in AI/ML engineering, focusing on NLP and conversational AI.
• Proven track record of deploying AI models in production, preferably in healthcare.

Responsibilities

• Design and deploy machine learning models for conversational AI.
• Lead the development of scalable pipelines for data ingestion and deployment.
• Optimize language models using healthcare-specific datasets.

Skills

NLP

Problem Solving

Collaboration

Tools

Python

TensorFlow

PyTorch

Azure

AWS

GCP

Job description

Join to apply for the AI / Machine Learning Engineer (Senior) role at Kouper.

About Kouper Health

Kouper Health is leading the charge in transforming transitions of care. We are backed by General Catalyst, 25m Health, and leading health system partners. Our mission is to bridge the care transition gap and fundamentally improve the patient experience to help people live longer and better.

Why This Role Is Exciting

As a Senior AI/ML Engineer at Kouper, you’ll play a critical part in building our culture: fostering collaboration, innovation, empathy, and trust while leveraging your technical expertise to execute on the product vision.

You will work directly with the Chief Technology Officer (CTO) and collaborate closely with product, operations, and clinical teams to create a robust system that supports real-time patient engagement and improves healthcare outcomes. You will be instrumental in designing custom conversational agents that impact healthcare outcomes and in shaping our technology to enhance patient experiences. In this fast-paced startup environment, you’ll see the direct impact of your work on patients’ lives and contribute to a mission-driven culture focused on healthcare transformation.

Responsibilities

1. Design, develop, and deploy machine learning models for conversational AI, focusing on SMS and voice-based interactions.
2. Lead the development of scalable pipelines for data ingestion, training, and real-time deployment, ensuring seamless integration into the existing tech stack.
3. Optimize and fine-tune language models using healthcare-specific datasets for enhanced accuracy and performance.
4. Collaborate with full-stack engineers to integrate conversational AI functionalities into the product.
5. Handle end-to-end deployment of models, including monitoring, evaluating performance, troubleshooting issues, and implementing improvements.
6. Stay current on the latest AI/ML techniques, frameworks, tools, and healthcare advancements to keep Kouper at the forefront.

Qualifications

1. 4+ years of experience in AI/ML engineering, with a focus on NLP, LLMs, and conversational AI.
2. Experience in startups or fast-paced environments, with a hands-on problem-solving approach.
3. Proven track record of deploying AI models into production, preferably in healthcare or regulated industries.
4. Expertise in fine-tuning LLMs, prompt engineering, optimization, and integration into real-world applications.
5. Proficiency in Python, TensorFlow, PyTorch, and other ML frameworks.
6. Familiarity with cloud services (Azure, AWS, GCP), MLOps tools, and open-source LLM models.
7. Strong problem-solving skills, with the ability to translate complex requirements into effective solutions.

Preferred Qualifications

1. Experience in healthcare or similar high-impact sectors.
2. Background in deploying AI-driven conversational agents.
3. Knowledge of HIPAA compliance and healthcare data privacy standards.
4. Familiarity with speech recognition and generation technologies.

What We Offer

• Competitive salary and equity package.
• Flexible work environment and remote options.
• Comprehensive health benefits.
• Professional development budget for conferences, training, and AI/ML resources.
• Opportunity to own and drive critical projects impacting real patient outcomes.
• Location: SF, NYC, or Remote.
• Expected Start Date: June 2025.