Senior Applied Machine Learning Scientist

Sanas is revolutionizing the way we communicate with the world s first real-time algorithm, designed to modulate accents, eliminate background noises, and magnify speech clarity. Pioneered by seasoned startup founders with a proven track record of creating and steering multiple unicorn companies, our groundbreaking GDP-shifting technology sets a gold standard. Our initial deployment is laser-focused on elevating the standards of customer experience centers. Testimonials from our partners reveal staggering double-digit improvements in mission-critical KPIs, coupled with boosts in CSAT and NPS. More than just a tool, our technology champions a bias-free workspace. This not only fosters a positive work environment but has also been instrumental in reducing employee attrition and curbing training expenditures.

Sanas is a 100+ strong team, established in 2020. In this short span, we ve successfully secured over $50 million in funding. Our innovation have been supported by the industry s leading investors, including Insight Partners, Google Ventures, 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.

We are seeking a passionate and skilled Applied Machine Learning Scientist with expertise in the speech AI domain to enhance and optimize our production AI systems. In this role, you will take a data-centric approach to identify and address areas where existing models underperform. Your contributions will directly improve the accuracy, efficiency, and robustness of our speech-to-speech systems, ensuring they meet the needs of diverse users in real-world environments.

This position requires a strong foundation in ML techniques, an innovative mindset, and a deep commitment to continuous improvement of deployed systems.