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Job Title: ML Engineer
Location: Cupertino CA (Hybrid 3 Days Onsite) (Local to CA)
Duration FTE
Job Description:
We are seeking a highly skilled ML Engineer to join our team. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipeline.
Essential functions
- Design and implement complex LLM applications for enterprise-scale solutions
- Lead LLM quality evaluation initiatives, including developing metrics and automated testing frameworks
- Drive LLM/VLM fine-tuning projects, including dataset preparation and optimization
- Develop and maintain ML pipelines following MLOps best practices
- Collaborate with cross-functional teams to integrate ML solutions
- Mentor team members on ML engineering best practices
- Contribute to architectural decisions for ML systems
- Evaluate and implement new ML technologies and frameworks
- Document technical designs and maintain engineering standards
Qualifications
- 5+ years of experience in Machine Learning Engineering
- Deep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systems
- Proven experience with LLM quality evaluation, including metric design and automation frameworks
- Strong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)
- Expert-level Python programming skills with focus on ML/data applications
- Solid understanding of MLOps and LLMOps principles and best practices
- Experience with production ML systems and scalable data processing pipelines
- MS/PhD in Computer Science, Machine Learning, or related field preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job Job Title: ML Engineer
Location: Cupertino CA (Hybrid 3 Days Onsite) (Local to CA)
Duration FTE
Job Description:
We are seeking a highly skilled ML Engineer to join our team. You will work on creating robust and scalable systems, enhancing our project code base, and ensuring seamless integration pipeline.
Essential functions
- Design and implement complex LLM applications for enterprise-scale solutions
- Lead LLM quality evaluation initiatives, including developing metrics and automated testing frameworks
- Drive LLM/VLM fine-tuning projects, including dataset preparation and optimization
- Develop and maintain ML pipelines following MLOps best practices
- Collaborate with cross-functional teams to integrate ML solutions
- Mentor team members on ML engineering best practices
- Contribute to architectural decisions for ML systems
- Evaluate and implement new ML technologies and frameworks
- Document technical designs and maintain engineering standards
Qualifications
- 5+ years of experience in Machine Learning Engineering
- Deep expertise in designing and implementing complex LLM applications, including multimodal, RAG, and agent-based systems
- Proven experience with LLM quality evaluation, including metric design and automation frameworks
- Strong background in LLM/VLM fine-tuning and distributed training frameworks (Ray or similar)
- Expert-level Python programming skills with focus on ML/data applications
- Solid understanding of MLOps and LLMOps principles and best practices
- Experience with production ML systems and scalable data processing pipelines
- MS/PhD in Computer Science, Machine Learning, or related field preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job