Applied ML Engineer

A global technology leader that designs, develops and supplies semiconductor and infrastructure software solutions.
$127,000 - $225,000
Machine Learning
Senior Software Engineer
In-Person
12+ years of experience
AI · Enterprise SaaS

Description For Applied ML Engineer

Broadcom's VMware Cloud Foundation (VCF) Division is seeking an experienced ML Engineer to join their team focused on building a platform for Agentic AI development. As a senior LLMOps engineer in the AI & Advanced Services organization, you'll work with AI researchers and ML Engineers to incorporate GenAI capabilities into the VCF technology stack. The role involves managing LLM lifecycles, including data preparation, prompt engineering, and model deployment.

The position offers an opportunity to work on cutting-edge AI applications that automate workflows and simplify IT administration. You'll be part of a team that's rethinking technology stacks and simplifying infrastructure deployment and operations. The role requires expertise in machine learning, data engineering, and DevOps practices, with specific focus on LLM management.

Key responsibilities include collaborating with cross-functional teams, managing large datasets, deploying models, and maintaining model serving systems. You'll be involved in optimizing LLM pipelines for efficiency and scalability, while ensuring compliance and quality through model governance processes.

The ideal candidate should have strong programming skills in Python, experience with ML frameworks, and knowledge of MLOps platforms. The position offers competitive compensation, comprehensive benefits, and the opportunity to work with a global technology leader in enterprise software solutions.

Last updated an hour ago

Responsibilities For Applied ML Engineer

  • Work closely with data scientists, engineers, and other stakeholders
  • Manage and curate large datasets for model training, evaluation, and testing
  • Deploy trained models to on-premises infrastructure
  • Optimize and maintain model serving systems
  • Continuously monitor model performance, identify issues, and perform updates

Requirements For Applied ML Engineer

Python
  • Bachelor's in Computer Science, Data Science, or related field and 12+ years of experience in full-stack software development, with at least two years focused on GenAI and LLM applications OR Master's Degree and 10+ years of experience
  • Strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
  • Experience post-training LLMs for instruction tuning and preference alignment
  • Familiarity with MLOps platforms (e.g. MLflow, Weights & Biases)
  • Knowledge of vector databases and similarity search techniques

Benefits For Applied ML Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Medical, dental and vision plans
  • 401(K) participation including company matching
  • Employee Stock Purchase Program (ESPP)
  • Employee Assistance Program (EAP)
  • Company paid holidays
  • Paid sick leave and vacation time
  • Paid Family Leave

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