ML Engineer

Elevating the quality of human life through every conversation

ML Engineer - Generalist

Location: Bangalore, India

Experience: 5 years to 10+ years

About the Team:

Our team at is a collaborative group of professionals dedicated to advancing the field of Conversation AI. We thrive on innovation and teamwork, pushing the boundaries of what's possible in AI-driven communication technologies.

About the Role:

As an ML Engineer - Generalist at , you will play a pivotal role in developing and enhancing our Conversation AI platform, with a focus on our new product, Nebula. You will be part of dynamic projects involving machine learning and Nebula's innovative features, contributing to the evolution of our technology stack.

Highlights for ML Engineer - Generalist:

Joining offers the opportunity to work at the forefront of Conversation AI innovation, shaping the future of communication with cutting-edge technology. As part of our team, you'll have the chance to make a significant impact on the development of Nebula and other groundbreaking projects.

Working as an ML Engineer - Generalist, you will:

• Collaborate with cross-functional teams to design and implement machine learning algorithms and models for Nebula and other Conversation AI initiatives.
• Develop and optimize data pipelines and workflows to support machine learning model training and deployment.
• Participate in the design and architecture of Nebula's features, leveraging machine learning techniques for enhanced functionality.
• Conduct experiments and perform analysis to improve model performance and accuracy, iterating on algorithms and approaches as needed.
• Contribute to the evaluation and integration of third-party tools and libraries to enhance the capabilities of our ML infrastructure.
• Stay abreast of the latest developments in machine learning and AI research, incorporating new techniques and methodologies into our projects as appropriate.
  
  

To excel in this role, you should:

• Possess a strong background in machine learning, with experience in developing and deploying ML models in production environments.
• Demonstrate proficiency in Python and relevant ML frameworks such as TensorFlow or PyTorch.
• Have experience with data preprocessing, feature engineering, and model evaluation techniques.
• Exhibit strong problem-solving skills and the ability to think critically about complex technical challenges.
• Possess excellent communication and collaboration skills, with the ability to work effectively in a remote team environment.
• Show a passion for learning and staying updated on advancements in ML and AI technologies, with a keen interest in the application of these technologies to Conversation AI.
  
  
  

Benefits and Perks 

• An open and inclusive culture and work environment.
• Work closely with a team on the cutting edge of AI research
• Health insurance for you and your family
• Parental Leave and family-planning support
• Annual Learning and Development
• We are aggressive with our goals and hence speed with predictability are critical when it comes to execution. Symbl's fixed leave policy of 18 Planned vacation days, 8 sick days, generous maternity, paternity and 16 annual holidays - are carefully curated to deliver on those core company values.
  
  

About
We are a venture-funded AI startup building conversational AI since 2018; and the journey of building safe, secure and business-ready AI to solve problems in communication experiences informs a lot of the decisions we make about how we build our technology. Symbl is a developer-first platform whose core mission is to bring understanding and generative AI to every business that  relies on understanding human conversations, and give machines the ability to comprehend communications better than humans. We believe this will transform how businesses think about their knowledge and will accelerate the various use cases where unlocking unstructured data for business use cases generates ROI at scale.

We obsess about a great developer experience for all our products, the business-readiness of the AI we build, and pride ourselves in bringing state-of-the-art Large Language Models (LLMs) to multi-modal multi-party conversations. 

As an organization, we firmly believe in equal opportunity and do not engage in any form of discrimination based on race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or any other legally protected status. We are committed to maintaining a diverse and inclusive work environment where every individual is respected and valued for their unique contributions.

How to Apply:  Email with your cover letter including any relevant links to Github or your recent publications to We look forward to getting to know you