Senior Machine Learning Engineer

Syndesus, Inc.; Austin (TX); On-site; USD 140,000 - 160,000; Full time

Benefits offered by this job

Health, vision, dental insurance (100%

401k retirement plans

Disability insurance

Employee assistance programs

Job summary

Syndesus, Inc. is seeking a hands-on ML/LLM Engineer to ship real-world AI applications in healthcare and biopharma. You will own pipelines that blend structured and unstructured data, optimize retrieval, and deploy production-ready systems with measurable impact.

You will work with Python, PyTorch, and tools like LangChain, conduct fine-tuning, evaluate models, and ensure safety and explainability. This mid-to-senior role requires 5+ years in ML, 1–2 years with LLMs, and a track record of

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.

Responsibilities

• 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.

Skills

Strong Python skills

PyTorch experience

Transformers

LangChain

LLMs

Tools

PyTorch

Transformers

LangChain

LlamaIndex

Job description

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.

Compensation

The base pay range for this role is $140,000 - $160,000 per year.