Senior ML Engineer: Threat Detection & Scalable ML Systems

Box; Redwood City (CA); On-site; USD 211,000 - 263,500; Full time

Benefits offered by this job

Equity

Comprehensive benefits package

Job summary

Box is seeking a Machine Learning Engineer in Redwood City, California, to design and deploy threat detection models. Ideal candidates will have over 5 years in applied ML, strong skills in Python, and a solid background with GCP technologies. The role requires collaboration with various teams to implement scalable ML systems. Compensation ranges from $211,000 to $263,500, including equity and benefits. Box values diversity and is committed to equal opportunity employment.

Qualifications

• 5+ years of experience in applied machine learning.
• Strong programming skills in Python.
• Deployed and maintained ML models serving real traffic.

Responsibilities

• Design, train, and deploy ML models for various detection tasks.
• Own end-to-end ML pipelines for high-volume security event streams.
• Collaborate with cross-functional teams to translate security needs.

Skills

Applied Machine Learning

Python Programming

GCP (Vertex AI, BigQuery, Dataflow)

Collaboration and Communication

Education

Bachelor's degree in Computer Science or equivalent

Tools

Apache Spark

TensorFlow

PyTorch

Kubernetes

Job description

Box is seeking a Machine Learning Engineer in Redwood City, California, to design and deploy threat detection models. Ideal candidates will have over 5 years in applied ML, strong skills in Python, and a solid background with GCP technologies. The role requires collaboration with various teams to implement scalable ML systems. Compensation ranges from $211,000 to $263,500, including equity and benefits. Box values diversity and is committed to equal opportunity employment.