Staff Machine Learning Engineer - Message Security Detection

Abnormal Security

4 months ago

Remote, Canada

Staff+

H1B Sponsor

Responsibilities

Serve as a technical leader and subject matter expert across multiple machine learning workstreams.
Architect and design generalizable ML systems to address critical gaps in detection capabilities.
Define the architectural vision for integrating different classes of models within the detection engine.
Drive the technical roadmap for long-term projects, including global model training paradigms.
Provide technical mentorship and feedback on ML decisions across different workstreams.
Own the end-to-end ML lifecycle from data analysis to model deployment and monitoring.
Investigate complex model performance issues and apply theoretical understanding to resolve them.
Adapt systems to new attacks by developing automated model retraining and evaluation pipelines.

8+ years of experience designing and building high-impact, customer-facing machine learning applications.
Proven experience working on ML at scale with direct product impact in mature ML industries.
Strong grasp of the theoretical limitations of deep learning models and systematic debugging skills.
Demonstrated experience in the productionization of large-scale ML models.
Ability to propose generalizable, architecturally sound ML solutions.
Expertise across the entire ML lifecycle, from data exploration to model deployment.
Fluency in Python and ML frameworks like Scikit-learn, PyTorch, or TensorFlow.
BS degree in Computer Science, Applied Sciences, Information Systems, or a related field.

PythonPyTorchscikit-learnTensorFlow