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Senior Machine Learning Engineer (Generative AI)

Purple Drive

Irvine, CA

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JOB DETAILS
SKILLS
Amazon Web Services (AWS), Apache Kafka, Apache Spark, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Big Data, Cloud Computing, Code Reviews, Computer Science, Distributed Computing, GCP (Good Clinical Practices), Machine Learning, Mathematics, Mentoring, Microsoft Windows Azure, Model Validation, Multiplatform/Cross-Platform, Problem Solving Skills, Production Systems, Software Development Lifecycle (SDLC), Technical Leadership, Technical Strategy, Testing, Thought Leadership
LOCATION
Irvine, CA
POSTED
Today
Overview:

Remote (Must work PST hours)

Job Overview:

We are seeking a highly experienced Senior ML Engineer with deep expertise in Generative AI and Machine Learning to drive innovation and deliver large-scale production-ready ML solutions. The ideal candidate will bring hands-on experience across the full SDLC, strong technical leadership, and proven success in deploying cutting-edge ML models and platforms at scale.

Key Responsibilities:

  • Act as a thought leader driving ML innovation across products and platforms.
  • Lead the full software development lifecycle (SDLC): design, coding, testing, deployment, and operations.
  • Guide technical strategy, conduct design/code reviews, and mentor peers.
  • Develop production-grade ML code for next-gen real-time ML platforms.
  • Extend and optimize existing ML libraries/frameworks for performance at scale.
  • Partner with scientists and engineers to accelerate model development, validation, experimentation, and integration into production systems.
Required Qualifications:

  • 8+ years of experience across the full SDLC (design, coding, testing, deployment, operations).
  • 5+ years of hands-on experience building and deploying end-to-end ML solutions in production.
  • Proven experience with Generative AI (RAG, AI Agents, LLM fine-tuning).
  • Strong background in cloud-based distributed systems (AWS, Azure, GCP).
  • Exceptional problem-solving skills and ability to work in complex, ambiguous environments.
  • Bachelor's degree in Computer Science, Mathematics, or related field.
Preferred Qualifications:

  • MS/PhD in Computer Science, Machine Learning, or related discipline.
  • Experience with Graph ML and Graph technologies (e.g., GNNs, GraphRAG).
  • Exposure to Big Data and distributed technologies (Spark, Flink, Kafka, PySpark, Lakehouse, Druid, Hudi, Glue).

About the Company

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Purple Drive

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