A hybrid role at Level AI.
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Original listing text, shown exactly as published by the company.
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Define and drive the research roadmap for core AI capabilities spanning LLMs, ASR/speech understanding, retrieval-augmented generation, and agentic systems.
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Design, train, fine-tune, and evaluate state-of-the-art models, taking them from prototype to robust, production-grade systems.
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Lead the architecture of scalable training and inference pipelines that operate reliably on real customer-scale data.
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Establish rigorous evaluation frameworks, benchmarks, and quality bars for model performance, safety, and reliability.
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Partner closely with product, platform, and ML engineering teams to ship research into customer-facing features.
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Mentor senior and mid-level engineers, set technical standards, and act as a force multiplier across the AI org.
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Stay ahead of the field, evaluate emerging techniques, and represent Level AI's technical work externally where appropriate.
What You'll Bring
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Degree in Computer Science, Machine Learning, or a related field, or equivalent research experience; typically 6+ years applying ML/AI in production settings.
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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.
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A track record of taking research from idea to deployed, scaled product—not just publications, but shipped impact.
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Expert-level proficiency in Python and a major deep learning framework (PyTorch preferred), with strong software engineering fundamentals.
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Hands-on experience training and serving large models, including distributed training, optimization, and efficient inference.
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Demonstrated technical leadership: setting direction, mentoring engineers, and influencing across teams.
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Clear communicator able to convey complex technical ideas to both research and product audiences.
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Experience in conversational AI, contact center, or speech analytics domains.
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Publications at top-tier venues (NeurIPS, ICML, ACL, EMNLP, Interspeech) or significant open-source contributions.
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Experience with agentic frameworks, tool use, and orchestration of LLM-based systems.
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Familiarity with model safety, alignment, and responsible AI evaluation.
Why Level AI
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Work on AI problems that ship to real enterprise customers at scale, with measurable impact.
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Join a small, high-caliber team where your technical decisions shape the product and the org.
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Level AI
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Level AI develops artificial intelligence solutions designed to enhance customer service operations. Their platform provides AI-powered tools for contact centers, focusing on real-time agent assistance, conversational intelligence, and automated quality assurance.
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