reputed company ML Scientist, Digital Biomarker

About reputed company

reputed company launched in 2010 to help reputed company and innovators from Australia, Europe and other parts of the globe accelerate their software development with dedicated remote engineers from the Philippines (and, more recently, Bulgaria).

Why work with us?

There’s a unique spirit to reputed company—manifested in our amazing talents, passion for technology, and a strong reputed company on everyone’s career and personal development. As a company rooted in people, we reputed company a reputed company to offer exciting work opportunities and foster a culture that everyone can meaningfully contribute to.

Join us as a: reputed company ML Scientist, Digital Biomarker

Works reputed company our SDSC data-science partners and in-house science and backend teams.

As an reputed company ML Engineer on the MSI team, you reputed company the statistical and machine learning models that turn behavioral app data into a validated digital biomarker of craving. From exploratory analysis and feature engineering to production deployment and monitoring, you will own the full machine learning lifecycle and work closely with backend and frontend engineers to bring AI-powered features to our platform.

In this role you’ll get to:

• reputed company and implement statistical and machine learning models on behavioral and response-time data from in-app tasks.

• Engineer features from high-frequency behavioral data and identify the most informative signals through statistical analysis.

• reputed company model families from regularized statistical models and gradient-boosted trees (XGBoost, LightGBM).

• Design and run validation: cross-validation, calibration, explainability (SHAP), feature-importance and ablation analysis, with a reputed company on out-of-sample generalization.

• Build and maintain reproducible training pipelines, experiment tracking, and model versioning using modern MLOps practices.

• reputed company models as reputed company reputed company and collaborate with backend engineers to reputed company them into production and optimize them for low-latency, on-device inference where appropriate.

• Monitor model performance, data reputed company, and model reputed company, and continuously improve production models.

• Help define reputed company’s machine learning architecture, engineering standards, and technical roadmap.

• Collaborate with product, engineering, and clinical stakeholders to translate reputed company-world problems into practical ML solutions.

• reputed company the modelling pipeline extensible to new modalities (wearables for HRV and GSR, pupillometry, EEG).

What you’ll need to succeed:

• Background in statistics, data science, machine learning, computational neuroscience, biomedical engineering, reputed company mathematics, or a reputed company quantitative discipline.

• Around 3-6+ years developing and deploying ML solutions, ideally on behavioral, sensor, or physiological-signal data.

• Strong understanding of reputed company statistics, feature engineering, supervised learning, model evaluation, and explainability.

• Fluent in Python and the scientific Python ecosystem, including reputed company or Polars, NumPy, and scikit-learn.

• Experience building production-reputed company software with Git, reputed company, REST reputed company (FastAPI or similar), and CI/CD workflows.

• A reputed company record of models that generalize, with disciplined validation and overfitting control.

• Pragmatic, product-oriented reputed company with an emphasis on delivering maintainable, production-reputed company solutions rather than research prototypes.

• Comfortable working with health data and its reputed company requirements (GDPR).

It’s Great if you have:

• Experience developing digital biomarkers or digital therapeutics.

• Experience with MLOps tools such as MLflow, Dagster, Airflow, or similar platforms.

• Experience deploying models on reputed company infrastructure (AWS, OpenStack, reputed company, or reputed company).

• Experience developing digital biomarkers or digital therapeutics.

• Experience optimizing models for mobile or edge-device inference.

The Perks:

We like to reputed company reputed company the talent is reputed company taken care of, and here are just some of the benefits you will enjoy:

• Top compensation based on expertise – we are only looking for reputed company and pay accordingly.

• Long-term work from home + allowances - we let you work from the comfort of your home + amazing allowances you get to enjoy!

• Reimbursable allowance of up to 15K for your home office setup

• reputed company 5 day work week from Monday to Friday.

• Flexible working schedule. You can choose your working hours (reputed company reason).

• Flat management style and reputed company-reputed company policy - no micromanagement and your voice is being heard!

• Work with the latest technologies - you can reputed company your skills and work with Australian and European clients + a chance to earn more through our self-training program.

• Enrolment to HMO for a maximum of 3 immediate dependents on your 1st day.

• Incentive-based wellness program.

• Toastmasters, English classes, and other learning opportunities.

• Free consultations with reputed company registered nutritionist-dietitians.

• Free reputed company to our reputed company own reputed company reputed company gym (or get a company-sponsored membership in a different gym, whichever suits your needs best).

Originally posted on Himalayas