Lead / Staff ML Scientist - Speech

23 Hours ago • 6 Years +

Job Summary

Job Description

The Lead / Staff ML Scientist will design, build, and train deep learning speech systems for real-time conversations across languages, accents, and environments. They will collaborate with a team to train and produce speech models, focusing on applied research and experimentation. The role involves working with speech technology, natural language processing, and conversational AI systems. The candidate should be enthusiastic about working in a fast-paced environment and pushing the boundaries of speech technology.

Must have:

B.Tech, M.Tech or Ph.D. in Computer Science or equivalent experience.
6+ years of relevant work experience.
Comfortable with at least one deep learning framework (PyTorch / Tensorflow).
Extensive experience building real-world speech systems (speech recognition, text to speech, speaker diarization)
Excellent programming skills in Python.

Good to have:

Publications in top-tier journals/conferences (ICASSP, NeurIPS, PAMI, InterSpeech).
Previous experience building voice conversational AI systems.
Experience working with textual NLP systems.

Perks:

General benefits of best in industry compensation, benefits, and perks.
Great talent, great work, and great culture.
Mutual trust, flexibility, and transparency.

6 skills required

6 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

deep-learning

python

pytorch

innovation

game-texts

Job Details

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 speech systems that power Agara’s real-time conversations across languages, accents, noise environments, and voice interfaces. You will work closely with a team of machine learning scientists and engineers to train and produce speech models. Applied research and experimentation will be an integral part of your role.

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 real-world speech systems such as speech recognition, text to speech, speaker diarization
Passionate about innovation and pushing the state of art in speech
Excellent programming skills in Python

Bonus if you have

Publications in top-tier journals/conferences such as ICASSP, NeurIPS, PAMI, InterSpeech.
Previous experience building voice conversational AI systems
Experience working with textual NLP 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.