Principal Machine Learning Engineer

Level AI; Dadri; On-site; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Comprehensive benefits

Job summary

Level AI is seeking a senior ML/AI leader to shape the research roadmap for core capabilities, spanning LLMs, ASR, retrieval, and agentic systems. You’ll design, train, and evaluate state-of-the-art models, taking them from prototype to production-grade systems.

You will mentor engineers, lead scalable training and inference pipelines, and partner with product and ML teams to ship research into customer-facing features. Strong leadership and communication are essential.

Qualifications

• 7+ years applying ML/AI in production settings.

Responsibilities

• Define and drive the research roadmap for core AI capabilities spanning LLMs, ASR/speech understanding, retrieval-augmented generation, and agentic systems.

Skills

Deep learning

LLMs & transformers

Speech/ASR

NLP / information retrieval

Distributed training

Python

PyTorch

Software engineering fundamentals

Leadership & mentoring

Education

Degree in Computer Science, ML, or related field

Tools

PyTorch

Python

TensorFlow

Job description

Level AI is a Mountain View-based conversational intelligence company building the AI platform that powers modern contact centers. Our systems analyze millions of customer interactions to surface insights, automate quality assurance, and drive real-time agent guidance. We work at the frontier of applied speech and language AI, and our research directly shapes products used by enterprise customers every day.

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.

What You'll Bring

• Degree in Computer Science, Machine Learning, or a related field, or equivalent research experience; typically 7+ years applying ML/AI in production settings.
• 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.

Nice to Have

• 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.
• Experience with agentic frameworks, tool use, and orchestration of LLM-based systems.
• Familiarity with model safety, alignment, and responsible AI evaluation.

Why Level AI

• Work on AI problems that ship to real enterprise customers at scale, with measurable impact.
• Join a small, high-caliber team where your technical decisions shape the product and the org.
• Competitive compensation, meaningful equity, and comprehensive benefits.
• A culture that values research depth and pragmatic, production-focused execution in equal measure.

Level AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.