What are the responsibilities and job description for the Machine Learning Engineer position at Latent?
Unlock the future of Medical Intelligence at Latent, where we're pushing the boundaries of robust and reliable integration. Our multi-modal search platform empowers health systems across the US to answer sensitive questions over patient data.
About This Role
You'll work on high-impact problems like:
- Fine-tuning large OSS models with novel QA techniques
- Extractive highlighting over patient notes
- Multi-modal clinical embeddings
- Taking a model from inception to training, validation, and serving at scale and speed
This is a full-time onsite position in our San Francisco office.
Requirements
- Masters or PhD in Computer Science or an adjacent STEM degree or equivalent experience in research and deploying language models
- Experience with Python and ML frameworks like PyTorch and Tensorflow
- Experience fine-tuning LLMs
- Experience taking ML systems from training to production
Bonus: Experience working in small, fast-paced environments and contributions to ML research papers.
What We Value
- Demonstrated history of excellence in personal and/or professional endeavors
- Robust experience delivering impactful software projects involving engineering skills across the stack
- Collaboration and excellent communication skills driven by logical coherence, openness, and curiosity
- Proactive approach to identifying and solving problems with minimal oversight
- Strong work ethic and commitment to quality and detail
Why You Should Join Us
- Backed by top investors like General Catalyst, Conviction, and YC
- Best-in-class technical team deeply mission-aligned
- Huge impact on a small team with plenty of room for growth
- Contracted with the nation's top hospital systems
- Competitive salary and equity compensation
- Excellent benefits and versatile health, dental, and vision coverage plans
- Paid parental leave
- Unlimited PTO
