Senior AI Research Engineer

New

Skills

AI/ML Research Cloud Platforms (AWS, GCP, Azure) GenAI Techniques LLM Fine-tuning Model Evaluation Natural Language Processing (NLP) Optical Character Recognition (OCR) Python Programming Retrieval-Augmented Generation (RAG) TensorFlow/PyTorch

As a Senior Staff AI Research Engineer in the AI Platform team, you will research and prototype advanced AI/ML/GenAI techniques tailored for Ridgeline's unique use cases. Your role will involve quantifying the business value of these solutions, including cost, latency, and success rates, while ensuring scalable model evaluations are maintained for current and future AI capabilities.

Key Responsibilities
  • Research and prototype AI/ML/GenAI techniques such as OCR and RAG.
  • Quantify business value including cost, latency, and success rates.
  • Create and maintain scalable model evaluations for AI capabilities.
  • Develop LLM fine-tuning strategies and compare SLMs vs LLMs.
  • Train proprietary models and collaborate with interdisciplinary teams to transition prototypes into enterprise-grade systems.
  • Stay updated on AI advancements and adopt new methodologies.
Requirements & Qualifications
  • 8+ years of experience in AI/ML research & development.
  • Experience deploying ML models on cloud platforms (AWS, GCP, Azure).
  • Strong background in NLP, particularly evaluating large language models.
  • Excellent problem-solving and analytical skills.
  • Strong communication skills to convey complex technical concepts.
  • Degree in computer science or related technical discipline; Master’s or PhD preferred in AI/ML, data science, or related field.
  • Proficiency in Python and frameworks like TensorFlow/PyTorch.
  • Experience in training proprietary AI models from scratch.
  • Background in financial technology or investment management is a plus.
  • Strong planning and organizational skills; ability to run research independently.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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