Machine Learning Engineer

Machine Learning Engineer (Remote)

Company : Genista Biosciences (San Jose, CA – US-based Biotech Startup)

Genista Biosciences is a fast-growing biotech company dedicated to improving public health and food safety through robotics, software, and advanced technology. We’re looking for a Machine Learning Engineer to design, build, and deploy scalable ML models that power our cutting-edge food safety platform.

What You’ll Do :

Design, train, and deploy scalable machine learning models for real-world biotech applications

Work closely with data scientists, engineers, and domain experts to translate requirements into production-ready ML solutions

Optimize model performance and ensure reliability in production environments

Implement pipelines for data preprocessing, feature engineering, and model monitoring

Collaborate with backend teams to integrate ML models into applications and APIs

Requirements :

2–5 years of experience as an ML Engineer or in a similar role

Strong proficiency in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)

Experience deploying models at scale (cloud platforms : AWS / GCP / Azure )

Knowledge of MLOps tools (Docker, Kubernetes, CI / CD for ML pipelines)

Solid understanding of data structures, algorithms, and software engineering best practices

Experience with scientific / biotech / healthcare data is a plus

Perks : 100% remote

Opportunity to apply ML in high-impact biotech solutions

Startup culture : autonomy, innovation, and ownership