Why This Job is Featured on The SaaS Jobs
This Senior Machine Learning Engineer role sits at the intersection of enterprise SaaS and applied speech AI, where product value is created by turning unstructured customer conversations into measurable operational insight. In a Series C, AI-native platform focused on contact centers, the work is closely tied to real usage patterns, data quality constraints, and the reliability expectations that come with selling into larger organizations.
For a SaaS career, the standout element is end to end ownership of production ML in a customer facing product, not just offline modeling. Building and maintaining speech to text pipelines, improving diarization and voice activity detection, and deploying scalable ASR systems develops skills that translate across modern SaaS: model lifecycle management, iteration discipline, and the ability to connect research progress to product outcomes. The emphasis on staying current with state of the art techniques also aligns with how AI features in SaaS evolve quickly after launch.
This role is best suited to an engineer who prefers deep technical problems with clear operational stakes, and who is comfortable balancing experimentation with maintainability. It fits someone who enjoys collaborating on system design, can work independently through ambiguous model choices, and wants their ML work to ship as part of a platform used by business teams.
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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