LLM Engineer

Summary

Join Inspiren, a company creating technology to optimize senior living community operations, and make a meaningful impact on patient care. As a key member of our team, you will lead the development and maintenance of LLM solutions, contribute to cutting-edge computer vision models, and collaborate with cross-functional teams. You will innovate, optimize, and mentor team members while staying current with industry trends. This role requires a Bachelor's or Master's degree in a related field, 2+ years of hands-on machine learning experience, and expertise in Python and LLM models. The position offers a competitive salary ($140,000-160,000), equity, benefits (medical, dental, vision), flexible PTO, and a remote work environment.

Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Computer Science, or a related engineering field
• 2+ years of hands-on machine learning expertise in projects at scale
• Expertise in Python
• Understand how to train, finetune, and deploy LLM models
• Have expertise in one or more of standard ML libraries: Pytorch / Tensorflow
• Pandas
• Numpy
• Matplotlib
• Excellent verbal and written communication skills, with the ability to convey complex ideas clearly
• Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities

Responsibilities

• Lead development, maintenance, and monitoring of LLM solutions that are critical to providing industry leading functionality for the Inspiren ecosystem
• Contribute to the best in class computer vision models that Inspiren has deployed across our fleet of AUGi systems
• Work closely with software developers, product managers, our customer success clinicians, and other stakeholders to define LLM system requirements and specifications per product needs
• Stay current with industry trends and emerging technologies
• Introduce new methodologies and technologies to enhance performance and meet design specifications
• Provide technical expertise and support in artificial intelligence and machine learning development, testing, and validation across the product lifecycle
• Provide technical guidance and mentorship, fostering a culture of excellence and continuous learning

Preferred Qualifications

• PhD in AI / ML
• Start-up experience
• Experience with healthcare datasets and HIPAA regulations

Benefits

• The annual salary for this role is between $140,000-160,000 + equity + benefits (including medical, dental, and vision)
• Flexible PTO
• Remote, US