Sr. Machine Learning Engineer; LLM

Greylock Partners
San Francisco, US
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design-and-implement-agentic-workflows
  • build-scalable-ai-systems
  • work-closely-with-cross-functional-teams
  • debug-and-improve-ai-performance
Typical background
4+ years of related industry experience with 1+ year focused on Generative AI/ML applications

Transferable backgrounds

  • Coming from data-engineering
  • Coming from ai-research

Skills & requirements

Required

Ai-engineeringMl-frameworksPythonRetrieval-augmented-generationPrompt-engineering

Preferred

Multi-agent-workflowsVector-search-systems

Stack & domain

PythonPyTorchTensorFlowRetrieval-augmented Generation (rag)Vector Search SystemsPrompt EngineeringCommunicationAIMLFinancial Compliance

About the role

Original posting from Greylock Partners

Position: Sr. Machine Learning Engineer (LLM)

Series A investment looking for a Sr. MLE with AI/ML expertise to build cutting-edge AI agent systems for financial compliance. You'll work at the intersection of software engineering and applied AI, turning the latest advancements in language models and agent frameworks into production-grade solutions that deliver real value for financial institutions.

This is a hands-on role where you'll build robust, scalable systems that operate in live customer environments. You'll work directly with state-of-the-art AI technologies while ensuring the reliability and accuracy that regulated industries demand.

Responsibilities:

  • Design and implement agentic workflows, optimize prompt engineering, and develop RAG systems
  • Build systems to measure, test, and improve AI performance
  • Turn the latest advancements in applied AI into scalable, reliable software that operates seamlessly in enterprise environments
  • Work closely with cross-functional teams to deliver AI features that solve real-world problems at scale
  • Debug and improve AI system performance, from prompt optimization to retrieval system tuning

Qualifications:

  • BSCS & 4+ years of related industry experience with 1+ year focused on Generative AI/ML applications, leveraging modern LLM's (strong plus for exp with multi-agent workflows)
  • Knowledge of retrieval-augmented generation (RAG) and vector search systems
  • Proficiency in Python and experience with ML frameworks (PyTorch, Tensor Flow, or similar)
  • Familiarity with AI evaluation techniques and performance optimization

About Us:

Greylock is an early-stage investor in hundreds of remarkable companies including Airbnb, Linked In, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, Palo Alto Networks, among others. More can be found about us here:

How We Work:

We are full-time, salaried employees of Greylock and provide free candidate referrals/introductions to our active investments. We will contact anyone who looks like a potential match--requesting to schedule a call with you immediately.

Due to the selective nature of this service and the volume of applicants we typically receive from our job postings, a follow-up email will not be sent until a match is identified with one of our investments.

Please note: We are not recruiting for any roles within Greylock at this time. This job posting is for direct employment with a startup in our portfolio.

Seniority level

  • Seniority level

Not Applicable

Employment type

  • Employment type

Full-time

Job function

  • Job function

Engineering and Information Technology

  • Industries Software Development and Technology, Information and Internet

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Source: Greylock Partners careers

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