Why This Job is Featured on The SaaS Jobs
This Senior Machine Learning Engineer role sits at a core SaaS problem space: turning high-volume customer conversations into structured data that enterprises can act on. In an AI-native contact center platform, speech-to-text quality is not a side feature but a foundational capability that affects downstream analytics and product credibility. The focus on transcription, diarization, and voice activity detection signals work that is tightly coupled to real-world usage rather than purely academic modeling.
For a SaaS career, the value is in building end-to-end ownership of ML systems that must operate reliably in production. Experience training, deploying, and maintaining scalable ASR pipelines maps directly to common SaaS expectations around model lifecycle management, observability, and iteration based on product needs. Regular engagement with state-of-the-art ASR techniques also supports a long runway of relevance as LLM-adjacent speech and language tooling continues to evolve.
This role is best suited to an engineer who prefers applied research translated into shipped systems, and who is comfortable running independent experiments while collaborating on architecture and design. It fits someone who wants their ML work to be measured by product outcomes and operational performance in an enterprise SaaS setting.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. 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.
Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!
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Roles and 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.
Requirements :- 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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₹0 - ₹0 a year
Compensation : We offer market-leading compensation, based on the skills and aptitude of the candidate.
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