Staff/Senior Machine Learning Engineer

Summary

Join SandboxAQ, a high-growth company delivering AI solutions, as a Staff/Senior Machine Learning Engineer. You will lead ML projects, manage the ML team (potentially), collaborate with product and engineering teams, design and implement ML solutions, and integrate them into existing cybersecurity technologies. This role requires extensive experience in ML engineering, including model training and optimization. You will analyze large-scale security data and stay updated on advancements in ML for cybersecurity. The position offers a competitive salary, bonuses, equity, and a comprehensive benefits package.

Requirements

• 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++

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Annual discretionary bonuses
• Equity
• Competitive salaries
• Stock options depending on employment type
• Generous learning opportunities
• Medical/dental/vision
• Family planning/fertility
• PTO (summer and winter breaks)
• Financial wellness resources
• 401(k) plans