Machine Learning & Signal Processing Engineer

Neurostellar Pvt. Ltd.; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Neurostellar Pvt. Ltd. in Chennai is seeking a Machine Learning & Signal Processing Engineer to build the science behind Orbit's scores from biosignals like EEG, PPG/HRV. You will design pipelines, train ML/DL models, and deploy real-time inference for wearables.

Join a cross-disciplinary team to turn research questions into measurable, trustworthy scores, with ownership over end-to-end development from data to product.

Qualifications

• Hands-on experience with biosignal processing, ideally EEG and ECG.
• Strong grounding in signal processing, plus linear algebra, probability, multivariate statistics, and optimization.
• Practical ML/DL experience applied to biosignals — both classification and regression.
• Fluency in Python and the ecosystem: scikit-learn, TensorFlow/PyTorch, Pandas, NumPy, and MNE.
• Real-time biosignal pipelines for wearables or neurotech.
• PPG/HRV experience.
• Comfort with cloud platforms (Colab, AWS, Azure) for training and deployment.

Responsibilities

• Design biosignal pipelines — filtering, artifact removal, and feature extraction across domains.
• Train and validate ML/DL models for EEG/ECG/PPG/HRV data.
• Move models from notebook to real-time inference on wearables.
• Collaborate with neuroscience and product teams to turn research into scores.

Skills

Biosignal processing

EEG/ECG analysis

ML/DL for biosignals

Python ecosystem

Real-time pipelines

Cloud platforms

Linear algebra & statistics

Feature extraction

Artifact removal (ICA/PCA)

Education

Masters in EE/CS or related

Tools

MNE

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Job description

Machine Learning & Signal Processing Engineer

You'll build the science behind Orbit's scores — turning noisy, real-world biosignals (EEG, PPG/HRV) into reliable measures of focus, load, and recovery. It's hands-on work across filtering, feature extraction, and modeling, with a direct line from your code to what people see in the app.

This is an on-site role at our Chennai facility, working closely with our neuroscience and product teams.

What you'll do

• Design biosignal pipelines — filtering, artifact removal (ICA/PCA, wavelets), and feature extraction across time, frequency, and time-frequency domains.
• Train and validate ML/DL models for classification and regression on EEG, ECG, and PPG/HRV data.
• Move models from notebook to real-time inference that runs on the wearable.
• Partner with neuroscience and product to turn research questions into measurable, trustworthy scores.

What you'll bring

• Hands-on experience with biosignal processing, ideally EEG and ECG.
• A strong grounding in signal processing, plus linear algebra, probability, multivariate statistics, and optimization.
• Practical ML/DL experience applied to biosignals — both classification and regression.
• Fluency in Python and the ecosystem: scikit-learn, TensorFlow/PyTorch, Pandas, NumPy, and MNE.
• Real-time biosignal pipelines for wearables or neurotech.
• PPG/HRV experience.
• Comfort with cloud platforms (Colab, AWS, Azure) for training and deployment.

You'll build at the intersection of neuroscience, design, and engineering — on products people use to understand and train their own minds. Early-stage means real ownership: your work ships, and you watch it land in people's hands.

Neurostellar is an equal-opportunity employer. We value diverse perspectives and welcome applicants from every background.