Staff Machine Learning Engineer, Shield

The Shield team is looking for ML engineers with a passion for building out enterprise security features that are able to handle complex use-cases in a robust and easy-to-use way. Shield’s mission is to protect the flow of an enterprise’s information while delivering frictionless user experience so that Box is the tool of choice for secure Cloud Content Management. Shield helps customers keep their content secure by detecting malicious software in their content, potentially compromised accounts, and anomalous behavior so that Administrators have the right information to act before a problem occurs. As an engineer on our team, you will join a diverse, fast-paced, mainly backend/core team that works together to build new capabilities that help Box’s customers protect their Box content. Security being a horizontal product, you will work across teams to design and implement capabilities that power high-demand use-cases in a future-proof way., * Develop and enhance anomaly detection algorithms by applying advanced machine learning techniques and statistical modeling

• Implement and optimize algorithms and models to improve accuracy, speed, and scalability
• Analyze large-scale data sets to gain insights and identify opportunities for improvement in threat detection
• Conduct experiments, A/B testing, and evaluations to measure the performance and effectiveness of different algorithms and models
• Keep up-to-date with the latest research and advancements in the field of security and machine learning, and apply relevant techniques to solve real-world problems
• Help drive architectural, product and technological decisions for security-focused products
• Influence our team’s processes and execution methods, leading by example with high-quality code and coaching junior team members, Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here.

You believe Security is core to enterprise products. In addition to influencing the technical vision for the team, you also want to have a voice in the product vision. You are interested in building new capabilities into our Box offering. At Box, we strive to foster a culture of transparency and inclusiveness, we aim to execute quickly, and we are committed to doing the right thing for our end users. We value team members who are lifelong learners, passionate about continuous improvement for themselves and for the team around them. You’ll join a highly collaborative scrum team that is very passionate about the security mission. You’ll have an opportunity to drive impactful feature development from the beginning to the end. And the work you’ll do will directly impact the experience of our 40 million+ users.

• You are passionate about solving hard machine learning problems using data-driven solutions
• You like to be an owner and strive to do work you’re proud of, both technically and in your team interactions
• You are able to inspire other people to work with you, and you enjoy mentoring and coaching, as well as learning from other engineers
• You’ve built, deployed, and supported machine learning systems at scale
• You have strong analytical and problem-solving skills, with the ability to work with large and complex datasets
• You are passionate about digging into the “why” of customer problems, to develop an elegant and scalable solution
• You understand data and metrics are the foundation of ML and work with others to ensure the right information is available, * Proficiency in Python and Jupyter Notebooks
• Familiarity with at least one object oriented language like C, C++, Java, Scala
• Master’s degree in Computer Science, Mathematics, Statistics, or a related
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Strong understanding of statistical modeling, data structures, and algorithms
• 5+ years of industry experience in machine learning or related field, or 3+ with advanced degree, * Ph.D. in Computer Science, Mathematics, Statistics, or a related field, with a focus on machine learning
• Familiarity with anomaly detection, time-series analysis, graph-based machine learning, and semi-supervised learning
• Familiarity with deep learning techniques and frameworks
• Publications or contributions to the machine learning community

You are in an office based role with the expectation of working from the Redwood City, CA office a minimum of 2x/week.

Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information on benefits, check out our healthcare benefits and additional Box Benefits + Perks.

In accordance with OFCCP compliance, here is the Pay Transparency Provision.

United States Pay Range: $192,500-$240,500 USD #J-18808-Ljbffr