Senior Machine Learning Engineer, Shield
Box
- Redwood City, California, United States
- Redwood City, California, United States
Über
Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics, anomaly detection Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, GCP Dataproc, BigQuery and Vertex AI Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
5+ years of experience in applied machine learning Lead design and implementation efforts in building, deploying and supporting scalable ML systems Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML) Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders Ownership mindset with focus on delivering high-quality work both technically & collaboratively MUST-HAVE EXPERIENCE
Bachelors or above degree in Computer Science or equivalent practical experience. Strong programming skills in Python Deployed and maintained ML models serving real traffic Deep understanding of feature engineering, model evaluation, and MLOps Clear, inclusive communicator who values collaboration, mentorship, and continuous improvement. Nice To Have Experience
Experience in security/threat or fraud detection and with sequential data and behavioral modeling (e.g., anomaly detection, time-series forecasting, LSTM, Transformers, or similar). Experience with streaming/real-time ML systems Experience with FedRAMP/compliance-constrained environments Familiarity with Java stack for service integrations Publications or contributions in ML security Tech Stack You'll Work With
Languages: Python, Go, Java ML/Data: Apache Spark, Vertex AI, BigQuery, TensorFlow/PyTorch Infrastructure: GCP, Kubernetes Domains: User Behavior Analytics, Time-Series Anomaly Detection, AI Security, Content classification, Ransomware Detection
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here. 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. For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here. 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
Sprachkenntnisse
- English
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