Machine Learning Engineer (on-site)

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

• Experience with experiment tracking and model registries (MLflow, Weights & Biases, or similar)

• Experience optimizing and packaging models for inference (quantization, distillation, ONNX, Docker)

• Knowledge of file formats and binary analysis

• Background in cybersecurity, threat detection, or another adversarial domain

• Publications, open-source contributions, or a competitive ML track record

OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other category protected by federal, state, or local laws.

Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.