ML Researcher — NLP
Remote
About the Company
Adalat AI is a legal-tech startup revolutionizing the Indian judicial system through advanced artificial intelligence solutions, by building an end-to-end justice tech stack. Operating across 10 Indian states and supported by some of the world's largest foundations, we're dedicated to eliminating judicial delays and enhancing access to justice through innovative technology.
Our solutions, including state-of-the-art ASR models for Indian languages, have been successfully implemented in multiple high courts, with our recent launch at the Delhi High Court marking a significant milestone. Founded by a team combining expertise in law, technology, and computational linguistics, with credentials from Harvard, Oxford, MIT, and IIIT Hyderabad, Adalat AI has earned recognition through prestigious competitions and partnerships, demonstrating our commitment to bringing India's courts into the digital age alongside other modernized systems like UPI, Aadhaar, and online taxation.
Role Overview
This is a full time position, involving the development of Adalat AI’s speech recognition transcription product. You will be part of the team in charge of the development and deployment of the Speech-To-Text and Legal Large Language Models
As an early member of the Team, you will: • Work closely with founding team to develop the models that power our legal copilot for Judges and Stenographers • Identify and drive innovative solutions to address the most critical needs of our Users (Judges at Courts of Different Stages in India). • Work in close collaboration with cross-functional partners in design, backend and frontend functions. • Solve complex engineering problems for ML Platform. • Build cost effective and scalable systems.
Key Responsibilities
Design and implement Hybrid and/or End-to-End speech and language processing system using machine learning and deep learning techniques.
Preprocess, annotate, and manage large datasets of speech and text for training and testing purposes.
Develop data augmentation techniques to improve model robustness and generalization.
Train and fine-tune speech recognition and language understanding models.
Implement and experiment with state-of-the-art algorithms to optimize model performance.
Conduct rigorous evaluation of speech models and provide insights for model improvement.
Collaborate with product managers and engineers to understand user requirements and provide technical solutions.
Ensure compliance with data privacy and security regulations in projects.
Stay updated with state-of-the-art techniques in the Speech Recognition field and exchange knowledge with colleagues.
Coordinate with internal teams to translate business challenges into data pipelines and model frameworks.
Document research findings, methodologies, and implementation details.
Communicate progress and results to the team and stakeholders effectively.
Qualifications
Don’t worry about ticking all boxes
5+ Years working with speech technologies [STT, Diarization, Speech Translation]
Knowledge with speech technologies like Automatic Speech Recognition (ASR), Multilingual Speech Recognition, Diarization, Language Model, Pronunciation Model, Audio classification.
Hands-on experience in building Hybrid speech recognition systems like GMM-HMM, DNN-HMM
Hands-on experience in building end-to-end speech recognition systems using the latest architectures like wav2vec2, Whisper, LAS, Parakeet.
Familiarity with machine learning and deep learning libraries such as Scikit Learn, TensorFlow, or PyTorch.
Strong programming experience in languages like Python, C/C++, Shell scripting etc.
A Bachelor’s or Master’s in Computer Science, Electrical Engineering, or a related field from leading institutes. (a plus)
Experience contributing to research communities, including publications at conferences and/or journals (a plus)
What You Will Achieve in a Year
Built the ML Stack for Court Systems in India to cater to 5000+ courtrooms running 8-10 hrs per day in the first year
Take on some of the hardest ML challenges of company, like building feedback loops to improve speech to text performance for regional dialects, legal domain and 10+ Indian Languages.
Built the best multilingual speech model for legal domain.
Benefits and Perks
WFH with flexible work hours.
Unlimited PTO
Autonomy and Ownership
Learning & Development resources
Smart, Humble and Friendly peers
Generous vacation
Maternity and Paternity leaves
Contacts within the Harvard / MIT/ Oxford ecosystem.
Join Our Team
To apply, please send your resume and a cover letter with the subject line: "ML Researcher — NLP".