Machine Learning Scientist

R&D – [2130] Machine Learning /
Full Time (Regular) /
About Us
Observe.AI is the fastest way to boost contact center performance with live conversation intelligence. Built on the most accurate AI engine in the industry, Observe.AI uncovers insights from 100% of customer interactions and maximizes frontline team performance through coaching and end-to-end workflow automation. With Observe.AI, companies can act faster with real-time insights and guidance to improve performance, from more sales to higher retention.

Observe.AI is trusted by hundreds of customers and partners, including Pearson, Accolade, Group 1 Automotive, Southeast Trans, and Public Storage. Our recent $125 million Series C led by Softbank Vision Fund 2 with participation from Zoom Video Communications, Inc., brings our total funding to date to $213M, with investments from Menlo Ventures, Next47, NGP Capital, Emergent Ventures, Scale Ventures, Nexus Ventures, and Y-Combinator. For more information, visit

The Opportunity :

We translate business needs into machine learning (ML) and natural language processing (NLP) projects, identify suitable algorithms and ML strategies for implementation, and evaluate their potential business impact, effectiveness, and cost-efficiency. We stay informed about the latest developments in ML and NLP to guide the technological progress of the Observe.AI NLP platform. We focus on building contact center specific large language models, training, evaluating, and refining ML models for various downstream applications, and creating high-quality, domain-specific datasets for tasks like instruction tuning, modeling human preferences, and retrieval applications.

What you will get to do:

Design & develop state-of-the-art AI capabilities end-to-end from conception to production for Observe.AI’s product offerings, in a fast-paced startup environment.
Work with advanced NLP approaches and Large Language Models (LLMs), applying instruction tuning, human-preference modeling, and parameter-efficient fine-tuning methods (e.g., p-tuning, adapters, LoRA) to enhance LLM performance for contact-center specific applications.
Lead the collection, creation, and annotation of domain-specific datasets to train Large Language Models (LLMs) for various tasks and applications.
Define performance and quality metrics for evaluating AI and system components across different platforms.
Collaborate with the machine learning team on innovative projects, mentor junior members, influence peers and stakeholders, and engage with engineers, product managers, customer-facing teams, and customers to identify challenges and opportunities, aiming to develop precise solutions for specific issues.
Contribute to the community through tech blogs and publishing papers in ML/ NLP conferences like EMNLP, ACL, etc.
Compensation, Benefits and Perks
Excellent medical insurance options and free online doctor consultations
Yearly privilege and sick leaves as per Karnataka S&E Act
Generous holidays (National and Festive) recognition and parental leave policies
Learning & Development fund to support your continuous learning journey and professional development
Fun events to build culture across the organization
Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.)

Our Commitment to Inclusion and Belonging
Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply.

If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit