Machine Learning Engineer (Applied Machine Learning)

Quick Facts

• Role: Machine Learning Engineer (Applied Machine Learning)

• Focus: Enterprise generative AI for AI & Data Platforms

Description

You will help design, build, and evolve models, tools, and applications that power high-impact AI experiences, contributing to the architecture and optimization of AI/gen AI systems for high availability, scalability, and reliability. You’ll work across backend services and application layers, tackling problems such as gen AI Safety, machine translation, content understanding, multimodality, multi-agent systems, and fine-tuning.

Responsibilities

• Solve applied AI problems in gen AI Safety, privacy-preserving generations, efficient inference, multimodal integration, and related areas

• Design and implement state-of-the-art (SOTA) AI models, services, and AI platform components

• Deliver production-grade systems and models that meet quality, performance, and scalability standards

Requirements

• 2+ years of hands-on applied AI/machine learning experience in industry OR 4+ years of hands-on AI R&D experience in academia

• Demonstrated expertise in generative AI (computer vision, natural language processing, or general machine learning)

• Bachelor of Science in Computer Science, Machine Learning, or equivalent experience

Benefits

• Help pioneer enterprise generative AI solutions with privacy-first innovation

• Build production-grade AI systems that enable others to adopt gen AI on top of shared foundations