Applied ML Engineer – Health AI for Real-World Impact

Syndesus, Inc.; Austin (TX); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

100% employer-paid health, vision, and dental insurance

Retirement plans (401(k))

Disability insurance

Employee assistance programs

Job summary

Syndesus, Inc. is seeking a hands-on ML/LLM Engineer to revolutionize healthcare through AI applications. The ideal candidate will own and optimize ML and LLM pipelines, collaborating with product and engineering teams to build impactful applications in healthcare.

Qualifications include 3–6 years of applied machine learning experience, strong Python skills, and familiarity with ML frameworks. The position offers competitive compensation, full health benefits, and strong growth potential.

Qualifications

• 3–6 years of experience in applied machine learning, with at least 1–2 years working with large language models.
• Strong Python skills and familiarity with ML/LLM frameworks.

Responsibilities

• Own and optimize ML and LLM-based pipelines.
• Collaborate with teams to build AI applications in healthcare.
• Monitor and improve model quality and latency.

Skills

Python

Machine Learning frameworks

Prompt tuning

Experimentation

Responsible AI practices

Healthcare data familiarity

Tools

PyTorch

Transformers

LangChain

LlamaIndex

Job description

Syndesus, Inc. is seeking a hands-on ML/LLM Engineer to revolutionize healthcare through AI applications. The ideal candidate will own and optimize ML and LLM pipelines, collaborating with product and engineering teams to build impactful applications in healthcare.

Qualifications include 3–6 years of applied machine learning experience, strong Python skills, and familiarity with ML frameworks. The position offers competitive compensation, full health benefits, and strong growth potential.