Malware Researcher (on-site)

OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life.
What You Will Be Doing
Turn detection problems into well-posed ML problems with a clear hypothesis, baseline, and success criteria
Build, label, and version the datasets used for training and evaluation
Design, train, and tune models; analyze their errors and feed the findings back into data, features, or architecture
Define evaluation protocols: metrics, splits, held-out test sets, and thresholds tied to product constraints such as false-positive rate and latency
Take models from experiment to production on AWS together with MLOps and software engineers, including packaging and inference optimization
Monitor deployed models for drift and drive retraining when needed
Keep experiments reproducible and documented, and present results and trade-offs to engineering and product
What We Need From You
3+ years of hands-on experience as a Machine Learning Engineer, Data Scientist, or Applied Scientist, with models delivered to production
Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field
Strong Python and the scientific stack (NumPy, pandas, scikit-learn, PyTorch or TensorFlow)
Solid grounding in statistics and ML fundamentals: bias/variance, class imbalance, leakage, calibration
Practical experience with AWS for data storage and training workloads
Clear written and spoken English
Nice to Have
Experienc