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
By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.
Responsibilities
- Work on problems arising in speech-to-text pipelines, such as transcription, diarization, voice activity detection.
- Train, deploy and maintain scalable automatic speech recognition pipelines to power Level AI’s ASR engine.
- Keep abreast of SOTA techniques in ASR and exchange knowledge with colleagues.
- Work with other team members to develop the architecture & design of systems.
- Ability to independently conduct experiments with model architectures, training schemes, and approaches proposed in ASR literature.
- Work in an agile environment to deliver high-quality products.
Qualifications
- 2 years of experience and a bachelor's degree in Computer Science or a related field from a tier-1 engineering institute.
- Experience deploying Deep Learning based models for speech recognition pipelines.
- Awareness of state-of-the-art research in speech recognition and signal processing.
- Algorithm and model development experience for large-scale applications.
- Strong knowledge of Machine Learning fundamentals.
- Experience with Python and Pytorch.
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Job application FAQ
Last updated 10 October 2026
- How do I apply for Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations) 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 Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations) 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 Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations) remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations) role at Level AI?
- This is a senior Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.