syndesus
syndesus13mo ago
New

Senior Machine Learning Engineer

United StatesUnited States·Austinfull-timesenior
Machine Learning EngineerData
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Quick Summary

Overview

About Our Client Our client is revolutionizing healthcare by streamlining knowledge workflows with AI. They reduce administrative burdens and elevate outcomes,

Technical Tools
Machine Learning EngineerData
About Our Client
Our client is revolutionizing healthcare by streamlining knowledge workflows with AI. They reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters — improving lives. They’re growing fast and looking for bold, driven teammates to join them.

The Opportunity
Our client is seeking a hands-on ML/LLM Engineer who’s excited to ship real-world applications — not just benchmarks. You’ll help build and optimize AI-native systems that blend structured and unstructured data to power decisions in high-stakes domains. This is a mid to senior-level role for someone ready to go deep on applied ML problems — from retrieval to routing to generation — and ship solutions that deliver measurable impact.

What You’ll Do
  • Own and optimize pipelines that combine classical ML and LLM-based systems (RAG, scoring, summarization, etc.)
  • Fine-tune and evaluate LLMs using both open-source and proprietary data
  • Collaborate with product and engineering teams to build real-world applications in healthcare and biopharma
  • Implement retrieval strategies, prompt chaining, and inference orchestration for production use cases
  • Monitor and improve model quality, latency, explainability, and safety
  • Stay ahead of the curve in LLM evaluation, tuning, and agent-based architectures

Qualifications
  • 5+ years of experience in applied ML, with at least 1–2 years working with LLMs
  • Strong Python skills and familiarity with ML/LLM frameworks (PyTorch, Transformers, LangChain, LlamaIndex, etc.)
  • Comfort with embeddings, vector search, retrieval pipelines, and prompt tuning
  • Bias for experimentation, clarity, and pushing solutions into production quickly
  • Understanding of responsible AI practices, model evaluation, and observability
  • Experience in healthcare, compliance-sensitive data, or regulated environments

What Our Client Offers
  • Opportunity to make a real impact on the future of healthcare
  • Autonomy, ownership, and growth potential
  • 100% employer-paid health, vision, and dental insurance
  • Retirement plans (401k), disability insurance, and employee assistance programs

Work Authorization:
This position is open only to individuals who are legally authorized to work in the United States on a permanent basis. At this time, the company is unable to sponsor or take over sponsorship of employment visas (including H-1B, OPT, CPT, or other non-immigrant statuses).

Candidates must be U.S. citizens or lawful permanent residents (Green Card holders) to be eligible for this role.


What We Offer

~1 min read
The base pay range for this role is $140,000 – $160,000 per year.

Location & Eligibility

Where is the job
Austin, United States
On-site at the office
Who can apply
US

Listing Details

Posted
August 14, 2025
First seen
September 26, 2026
Last seen
September 26, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
14%
Scored at
September 26, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust
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syndesusSenior Machine Learning Engineer