Match score not available

LLM Engineer

Remote: 
Full Remote
Salary: 
140 - 160K yearly
Work from: 

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or related field, 2+ years of machine learning project experience, Expertise in Python and LLMs, Familiarity with healthcare datasets a plus.

Key responsabilities:

  • Lead development of LLM solutions
  • Collaborate with cross-functional teams to define system requirements
Inspiren logo
Inspiren Startup https://www.inspiren.com/
2 - 10 Employees
See more Inspiren offers

Job description

About Inspiren 

Inspiren was created to help operators forge thriving senior living communities.

We use a simple, streamlined platform that protects resident privacy, to optimize community operations at every step. Our technology puts residents first, capturing insights on everything from revenue leakage to staff utilization, while providing an extra layer of oversight, as an extension of your care team.

We know that balancing operations takes time and effort, not to mention careful coordination of many parts – that’s why we offer seamless solutions to guide stronger care decisions. Because while you can’t control any specific event, we believe that data can power communities to live and work better.

Keeping your residents healthy and your staff productive is easy with Inspiren.

Smarter care, on every wall. One room at a time.

What You'll Do

  • LLM Projects: Lead development, maintenance, and monitoring of LLM solutions that are critical to providing industry leading functionality for the Inspiren ecosystem.
  • Computer Vision: You will contribute to the best in class computer vision models that Inspiren has deployed across our fleet of AUGi systems.
  • Collaborate Cross-Functionally: Work closely with software developers, product managers, our customer success clinicians, and other stakeholders to define LLM system requirements and specifications per product needs.
  • Innovate and Optimize: 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.
  • Mentor Team Members: Provide technical guidance and mentorship, fostering a culture of excellence and continuous learning.

Qualifications

  • Educational Background: Bachelor's or Master's degree in Computer Science, Computer Engineering, Computer Science, or a related engineering field.  PhD in AI / ML a plus.
  • Experience: 2+ years of hands-on machine learning expertise in projects at scale.
  • Technical Expertise:
    • Programming Proficiency: Expertise in Python.
    • LLM Expertise: Understand how to train, finetune, and deploy LLM models.
    • Data Science / ML:  Have expertise in one or more of standard ML libraries:
      • Pytorch / Tensorflow
      • Pandas
      • Numpy
      • Matplotlib
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex ideas clearly.
  • Adaptability: Comfortable working in a fast-paced, dynamic environment and adapting to changing priorities.
  • Start-up experience is a plus.
  • Additional Qualifications:
    • Experience with healthcare datasets and HIPAA regulations

Details

  • The annual salary for this role is between $140,000-160,000 + equity + benefits (including medical, dental, and vision) 
  • Flexible PTO
  • Location: Remote, US
  • Join our team and make a meaningful impact on patient care by enabling healthcare organizations to adopt and leverage AUGi to its full potential. Apply today to become a part of our customer success team!
  • Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Adaptability
  • Communication

Field Engineer (Solutions) Related jobs