Staff/Senior Machine Learning Engineer, SandboxAQ

• The ideal candidate will have extensive experience on designing ML-enhanced features, ML operations, and model training
• Proven experience working as an ML Engineer
• Experience with rapid prototyping to deploy machine learning algorithms
• Familiarity with common ML tools (TensorFlow, Keras, PyTorch, etc.)
• Proficiency in programming languages such as Python / C++

Desirable

• SandboxAQ is looking for a talented Staff/Senior Machine Learning Engineer to join our dynamic team
• You will be part of a diverse team consisting of software engineers, cybersecurity engineers, and ML experts, playing a key role bringing ML features to the cybersecurity technologies being developed by the team
• Be the ML team tech lead: leading projects and influencing the team’s technical decisions, as well as the team technical operations
• Be the ML team manager (potentially): if experienced enough, and willing to, manage the growth and career of the ML team members
• Work closely with the product and engineering teams to decide on ML functionalities to be added to our software, and integration paths
• Design, develop, and implement end-to-end machine learning solutions as an individual contributor
• Work closely with other ML team members and the engineering team to integrate ML solutions into existing solutions
• Analyze large-scale security data incl
• Network traces, filesystems, and logs / event data
• Optimize and fine-tune machine learning models to improve performance and scalability
• Conduct research to stay updated on the advancements in ML applied to cybersecurity
• Perform thorough testing and validation of ML models to ensure reliability / effectiveness