Level AI
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51 to 200 Employees · Mountain View, US
Hiring: Engineering
What employees say
+ Super talented team. Amazing leadership of Ashish and Sumeet, they really push us to deliver quality results. Great company in the build with a hustle culture.
− There's a lot of work which is expected for a startup. But since the work itself good, it doesn't feel like slogging and can't be counted as a con.
More reviews on the company profile.
Interview experience · Machine Learning Engineer - NLP
After being contacted by the HR team regarding the opportunity, the interview was scheduled and conducted in online mode. This was the first round of the selection process and took place as a one-on-one interaction with
Difficult difficulty · India · 7 reports
More interview insightsJob description
Overview
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance.
Responsibilities
- B.Tech/M.Tech/PhD in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP.
- Strong coding skills in Python and Pytorch with familiarity with libraries like Transformers and LangChain/LangGraph.
- Strong practical experience in NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc.
- Knowledge and hands-on experience with Transformer-based Language Models like BERT, Llama, Qwen, Gemma, DeepSeek, etc.
- In-depth familiarity with LLM training concepts, model inference optimizations, GPUs, etc.
- Experience with ML and Deep Learning model deployments using REST API, Docker, Kubernetes, etc.
- Good problem-solving skills involving data structures and algorithms.
- Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable.
- Knowledge of multimodal models is a plus
- Knowledge of real-time streaming tools/architectures like Kafka and Pub/Sub is a plus.
Qualifications
- Basic understanding of vector search, RAG, and prompt engineering concepts
- Contributions to AI side projects or GitHub repos
- Exposure to vector databases or retrieval pipelines (e.g., FAISS, Pinecone)
- To learn more visit :https://thelevel.ai/
- Funding :https://www.crunchbase.com/organization/level-ai
- LinkedIn :https://www.linkedin.com/company/level-ai/
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Job application FAQ
Last updated 12 October 2026
- How do I apply for Senior Machine Learning Engineer - NLP (Bengaluru/Noida) at Level AI?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Level AI may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Machine Learning Engineer - NLP (Bengaluru/Noida) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Machine Learning Engineer - NLP (Bengaluru/Noida) remote or on-site in Dadri, Uttar Pradesh?
- This listing is marked on_site with location Dadri, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Senior Machine Learning Engineer - NLP (Bengaluru/Noida) role at Level AI?
- This is a senior Senior Machine Learning Engineer - NLP (Bengaluru/Noida) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.