Applied ML Engineer
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 with cutting-edge AI technology, focusing on automating workflows and simplifying IT administration through Machine Learning applications. You'll be part of a team that's rethinking technology stacks and simplifying infrastructure deployment and operations.
Key responsibilities include collaborating with cross-functional teams, managing large datasets, deploying models to on-premises infrastructure, and maintaining model serving systems. The ideal candidate should have extensive experience in full-stack software development with a focus on GenAI and LLM applications.
The role offers competitive compensation, comprehensive benefits, and the chance to work with a global technology leader. You'll be part of a diverse team of technology professionals working with the largest enterprises, governments, and institutions worldwide. This position is perfect for someone passionate about LLM research and industry trends, with strong problem-solving skills and a focus on operational efficiency.
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
- 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, 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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