Machine Learning Lead - Audio/Sensor Data

Machine Learning Lead

Full-Time | Bengaluru, Work from Office

Qualifying Degree: B.Tech from a Tier 1 Institute

Experience: 10+ years

Note: Shortlisted candidates will complete a take-home assignment as part of the process.

About the Role:

We're looking for an experienced ML leader to drive the machine learning roadmap across our ecosystem, with a deep focus on digital signal processing, audio signal analysis, and accelerometer data. You've led ML teams and taken models from research to production before - building CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques into real products. You'll set technical direction, grow a team of ML engineers, and turn raw sensor data into the insight that helps pets live longer, healthier lives.

What You'll Do:

• Define and drive the ML roadmap across the product ecosystem, aligning model development with product and business priorities

• Lead the design of custom ML models from scratch for digital signal processing, audio signal analysis, and accelerometer data

• Apply advanced techniques - time series analysis, CNNs, RNNs, GANs, LLMs, low-rank adaptation - to solve hard problems in pet wellness technology

• Build, lead, and mentor a team of ML engineers, setting technical standards and a culture of rigorous experimentation

• Own sophisticated data analysis and preprocessing pipelines that prepare datasets for ML at scale

• Establish MLOps practices and infrastructure that get models into production reliably, at scale

• Set benchmarks for continuously monitoring and optimizing model accuracy and efficiency

• Partner closely with product, engineering, and data science leadership to ship ML into the product ecosystem

• Stay ahead of the field in ML and signal processing, and drive a culture of research and innovation

What We're Looking For:

• B.Tech in Computer Science, Data Science, Electrical Engineering, or related field from a Tier 1 institute (IIT, NIT, BITS Pilani, or equivalent) - mandatory

• 10+ years building custom ML models, including for digital signal processing, audio signal analysis, or accelerometer data

• Proven track record of leading and growing ML teams, taking models from research into production

• Strong depth in time-series ML, CNNs, RNNs, GANs, LLMs, and low-rank adaptation techniques

• Deep MLOps experience - deploying and running ML models in production

• Fluent in TensorFlow, PyTorch, and Python

• Strong analytical, problem-solving, communication, and leadership skills

Bonus Points:

• Experience in pet wellness or a related industry

• Familiarity with IoT device data processing and analysis

• Knowledge of cloud platforms for ML deployment

• Published research or patents in applied machine learning

Why Join Us:

• Lead ML from the ground up on a category-defining, sensor-driven product

• Own one of the hardest, most interesting problems in pet health: turning raw signal into insight

• Take full ownership from day one, with a direct line to product and founding leadership

• Build the team you wished you'd had - hire, mentor, and set the bar