Principal Machine Learning Engineer

About this role

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Skills you'll use

What you'll do

• Define and drive the research roadmap for core AI capabilities spanning LLMs, ASR/speech understanding, retrieval-augmented generation, and agentic systems.
• Design, train, fine-tune, and evaluate state-of-the-art models, taking them from prototype to robust, production-grade systems.
• Lead the architecture of scalable training and inference pipelines that operate reliably on real customer-scale data.
• Establish rigorous evaluation frameworks, benchmarks, and quality bars for model performance, safety, and reliability.
• Partner closely with product, platform, and ML engineering teams to ship research into customer-facing features.
• Mentor senior and mid-level engineers, set technical standards, and act as a force multiplier across the AI org.
• Stay ahead of the field, evaluate emerging techniques, and represent Level AI's technical work externally where appropriate.

Who can apply

• Deep expertise in modern deep learning, with strong command of LLMs, transformers, and at least one of speech/ASR, NLP, information retrieval, or multimodal modeling.
• A track record of taking research from idea to deployed, scaled product—not just publications, but shipped impact.
• Expert-level proficiency in Python and a major deep learning framework (PyTorch preferred), with strong software engineering fundamentals.
• Hands-on experience training and serving large models, including distributed training, optimization, and efficient inference.
• Demonstrated technical leadership: setting direction, mentoring engineers, and influencing across teams.
• Clear communicator able to convey complex technical ideas to both research and product audiences.
• Experience in conversational AI, contact center, or speech analytics domains.
• Publications at top-tier venues (NeurIPS, ICML, ACL, EMNLP, Interspeech) or significant open-source contributions.

About Level AI

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