Staff/Senior Machine Learning Engineer

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Requirements:

• Proven experience working as an ML Engineer.
• Experience with rapid prototyping for ML algorithms.
• Familiarity with common ML tools such as TensorFlow, Keras, PyTorch.
• Proficiency in programming languages like Python and C++.
• At least 5 years of proven experience working as an ML Engineer (nice to have).
• Experience with unsupervised learning and data visualization.
• Experience with MLOps frameworks for large dataset processing.
• Solid understanding of computer science, cryptography, and cybersecurity principles (nice to have).
• Project management experience (nice to have).
• Excellent communication skills and ability to work in a startup environment (nice to have).

Responsibilities:

• Be the ML team tech lead, leading projects and influencing technical decisions.
• Potentially manage the growth and career of ML team members.
• Work with product and engineering teams to decide on ML functionalities.
• Design, develop, and implement end-to-end machine learning solutions.
• Collaborate with other ML and engineering team members for integration.
• Analyze large-scale security data including network traces, filesystems, and logs.
• Optimize and fine-tune machine learning models for performance.
• Conduct research on ML advancements applied to cybersecurity.
• Perform testing and validation of ML models for reliability.