Lead / Staff ML Scientist - NLP

Who we are

We at Agara believe voice conversations should be without friction, without barriers, and without frustration. Pushing the boundaries of deep learning, we are building ubiquitous, pleasant, and meaningful machine-led voice conversations accessible to all. Agara’s AI voice agents talk to customers around the globe. Most of our work involves building conversational AI systems, using speech technology and natural language processing.

What you’ll do

Design, build and train robust deep learning NLP systems that power Agara’s real-time conversations across multiple use cases and industries. You will work closely with a team of machine learning scientists and engineers to train and production NLU and NLG models. Research and experimentation will be an integral part of your role, along with a focus on publishing and patenting. 

We require that you have

• B.Tech, M.Tech or Ph.D. in Computer Science or equivalent work experience
• Relevant work experience of 6+ years
• Enthusiastic to work in a fast-paced environment, along with machine learning scientists and engineers
• Comfortable with at least one deep learning framework (PyTorch / Tensorflow)
• Previous extensive experience building deep learning systems for real-world NLU and NLG tasks such as classification, language modeling, question answering
• Passionate about innovation and pushing the state of art in NLP
• Excellent programming skills in Python

Bonus if you have

• Publications in top-tier journals/conferences such as ACL, EMNLP, NAACL, NeurIPS.
• Previous experience building conversational AI systems

What we offer

Apart from all the general benefits of best in industry compensation, benefits, and perks, we are proud of our great talent, great work, and great culture. We believe in mutual trust, flexibility, and transparency.

Halli Labs Private Limited (Agara) is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.