Staff/Senior Machine Learning Engineer

About the Role

SandboxAQ is looking for a talented Staff/Senior Machine Learning Engineer to join our dynamic team. The ideal candidate will have extensive experience on designing ML-enhanced features, ML operations, and model training. 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.

What You'll Do

• 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.

Who You Are

• 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++.

Nice to Haves

• At least 5 years of proven experience working as an ML Engineer.
• Experience with unsupervised learning and data visualization for large datasets.
• Experience with MLOps frameworks for processing and analyzing large datasets.
• Solid understanding of computer science, cryptography, and cybersecurity principles. 
• Project management experience. 
• Experience interacting with product teams and understanding of market requirements.
• Excellent communication skills and ability to work in a startup environment.

The US base salary range for this full-time position is expected to be $167k-$269k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.