Machine Learning Engineer, Generative AI

Qualcomm

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
San Diego, CA
Salary
$104,000–$156,000 / yr
Posted
39 days ago
Freshness
Confirmed live 2 days ago
Closes
Jan 30, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $220k
This role $130k
$85k most similar roles pay here $285k

This role pays less than 95% of similar roles. Most pay $185,000–$254,750 — the shaded band above. At the midpoint, this role pays about $130k versus about $220k for comparable roles.

Based on 240 similar postings.

Employer

About Qualcomm

Qualcomm is a leading American semiconductor and telecommunications company based in San Diego, CA.

Qualcomm currently has 623 open roles on FindRole.

Listed pay typically runs $148,300–$222,500 across 603 roles with salary data.

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View all roles at Qualcomm

At a glance

TL;DR · Machine Learning Engineer, Generative AI

Machine Learning Engineer - Generative AI joins the core AI team within the Modem Technologies Software group. This role involves designing, developing, and deploying generative AI solutions with a specific focus on Large Language Models, Retrieval-Augmented Generation, and intelligent agent systems. Daily responsibilities include implementing RAG-based solutions to enhance LLM capabilities with external knowledge, optimizing fine-tuning strategies for domain adaptation, creating robust evaluation frameworks, and building agentic workflows for autonomous systems. The candidate will utilize Python, PyTorch, TensorFlow, and frameworks like Langchain, LlamaIndex, or Transformers. Technical requirements include experience with vector databases, embedding models, prompt engineering, chain-of-thought techniques, and MLOps pipelines. The role also involves working with containerized microservices and cloud platforms such as AWS, GCP, or Azure to solve complex problems in the generative AI space while ensuring responsible development practices.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

What you'll do

  • Design and implement RAG-based solutions to enhance LLM capabilities with external knowledge sources.
  • Develop and optimize LLM fine-tuning strategies for specific use cases and domain adaptation.
  • Create robust evaluation frameworks for measuring and improving model performance.
  • Build and maintain agentic workflows for autonomous AI systems.
  • Implement prompt engineering and chain-of-thought techniques to improve model outputs.
  • Manage ML ops and deployment pipelines for large language models.
  • Develop solutions using vector databases and embedding models.

What we're looking for

  • Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field.
  • Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow.
  • Practical experience with LLM deployments, fine-tuning, and RAG architectures.
  • Experience with vector databases and embedding models.
  • Experience with popular LLM frameworks like Langchain, LlamaIndex, or Transformers (preferred).
  • Knowledge of prompt engineering, chain-of-thought techniques, and reinforcement learning (preferred).
  • Experience with containerization, microservices, MLOps, and cloud platforms (preferred).
  • Contributions to open-source AI projects (preferred).

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