ML DA Intern
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Oct 29, 2026. Sanas scores A on the Alion truth index.
Sanas is pioneering the future of human communication. Founded by a team of Stanford researchers and entrepreneurs with deep industry experience, Sanas has developed the world's first real-time speech AI platform capable of accent translation, noise cancellation, speech enhancement, cross-language communication, and more.
Sanas makes conversations clearer, more inclusive, and more effective, removing barriers that prevent people from being understood, regardless of accent, background noise, or native language.
Sanas is currently one of the fastest growing startups in Silicon Valley, growing from $16M to $50M ARR in 2025. The company's core business is profitable and is on track to end 2026 with >$77M ARR. Our team combines deep expertise in model innovation and systems engineering with a design-minded product engineering culture to build and ship cutting-edge AI models and experiences - entirely in-house.
Sanas is a 130 person team, established in 2020. In this short span, we've successfully secured over $100 million in funding. Our innovation has been supported by the industry's leading investors, including Insight Partners, Google Ventures, Quadrille Capital, General Catalyst, Quiet Capital, and other influential investors. Our reputation is further solidified by collaborations with numerous Fortune 100 companies. With Sanas, you're not just adopting a product; you're investing in the future of communication.
If you’re looking to have a significant role in roadmapping and driving technical directions, if you’re looking to deploy challenging and big ideas without much overhead or slowness, if you're looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.
Requirements:
- This is a 6-month, fully in-office internship based at our Bangalore, India office.
- Support the evaluation of ML models by assisting with structured listening tests, A/B comparisons, and basic error tracking.
- Help replicate model bugs under guidance, enabling researchers to debug and improve models.
- Assist in curating datasets by organizing and maintaining audio files from various sources (e.g., calls, synthetic, open source).
- Contribute to audio data annotation by labeling simple features like clipping, silence, gender mismatch, etc.
- Track and record observations during model testing cycles, highlighting potential regressions or changes.
- Collaborate with team members to maintain clean, well-organized QA documentation and evaluation logs.
Technical Skills:
- Passion for speech/audio technology and interest in machine learning quality workflows.
- Good listening and observation skills, with attention to detail.
- Comfortable using tools like Excel, Google Sheets, and working with structured data (e.g., CSV files).
- Basic familiarity with audio editing or listening tools (Audacity, Praat, etc.) or willingness to learn.
- Ability to write clear, simple feedback and document issues in structured formats.
- Good communication skills and the ability to collaborate within a fast-moving, cross-functional team.
What you'll learn being part of Sanas:
- Hands-on experience with cutting-edge speech ML models in real-world applications.
- How to evaluate model quality across various dimensions like naturalness, intelligibility, and artifact detection.
- Techniques for error analysis and diagnosing issues from real customer calls and live model output.
- Best practices for audio data curation, annotation, and dataset hygiene.
- Exposure to A/B testing frameworks and structured listening test methodologies.
- How to collaborate with cross-functional teams including ML researchers, QA, engineering, and customer success.
- Insights into how machine learning quality impacts user experience and product performance.
- Opportunity to contribute directly to model improvement cycles and learn how feedback drives innovation.
What We Offer:
- A mission-driven environment that values impact, ownership, and transparency.
- Competitive compensation and equity in a fast-growing startup.
- Opportunity to work on technology with real-world social value and global scale.
- Regular opportunities to present findings and influence product roadmap.
- Support for learning and development - courses, books, conferences, and mentorship.
- A collaborative, no-ego team culture focused on curiosity, speed, and learning.