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Principal Machine Learning Engineer

Level Ai Verified employer

Full time Hybrid
Experience
7+ years
Location
Bangalore, noida
Work mode
Hybrid
Salary
₹14L – ₹25L a year estimatetypical for IT Jobs in Bangalore, 288 posts
Posted 2 months ago Last checked 1 hr ago

You apply on Level Ai's website. CoreHRx takes you there after you sign in.

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Role at a glance

You will
  • Define and drive the research roadmap for core AI capabilities spanning LLMs, ASR/speech understanding, retrieval-augmented generation, and…
  • 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.
Experience
7+ years
Must-have skills
Deep LearningMachine LearningNatural Language Processing (NLP)
Work mode
Hybrid

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Job description

Location: Bengaluru, India
Department: AI

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.

We are looking for a Principal AI Research Engineer to set the technical direction for our most ambitious AI initiatives. You will lead research on large language models, speech understanding, and retrieval systems—then translate that research into production capabilities at scale. This is a senior individual-contributor role for someone who thrives at the intersection of cutting-edge research and real-world deployment, and who can raise the technical bar across the entire AI organization.

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.

Key skills

Required

Deep LearningMachine LearningNatural Language Processing (NLP)

Preferred

PyTorchPython

Soft skills

Leadership

Job market insights

65active Deep Learning jobs in Bangalore
340active Machine Learning jobs in Bangalore
74active Natural Language Processing (NLP) jobs in Bangalore
₹14L – ₹25L advertised yearly salary for IT Jobs in Bangalore (middle half of 288 posts that show a salary; median ₹18L)
28 more open jobs at Level Ai

Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3145 that say).

Hiring most for IT Jobs in Bangalore

  • Bosch Group157 open jobs
  • Trigent Software Private Limited151 open jobs
  • Brillio115 open jobs

Jobs asking for Deep Learning in Bangalore also ask for

  • Python82%
  • PyTorch63%
  • Machine Learning60%
  • TensorFlow51%
  • AWS40%

From live job posts on CoreHRx, updated 1 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.

Questions about this job

What is the salary for this Principal Machine Learning Engineer job?

The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹14L – ₹25L a year (typical for IT Jobs in Bangalore, 288 posts).

How much experience does this job need?

The post asks for 7 Yrs experience.

Where is this job based?

In Bangalore, noida (hybrid).

What kind of job is this?

It is a full time job.

How do I apply?

You apply on Level Ai's website. CoreHRx takes you there after you sign in.

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