RZR Global Inc.
Head of Machine Learning
San Francisco · Senior
Sponsorship not specifiedDetected 149 days ago
PythonJavaRustC++Machine LearningDeep LearningSparkData EngineeringMLOpsA/B TestingResearchLeadershipCommunicationMentoring
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You will be responsible for the infrastructure for training and serving the deep learning models powering our Demand Side Platform.
- Our machine learning systems power real-time advertising use cases including bidding, ranking, pacing, and fraud detection.
- These models operate in extremely latency-sensitive environments, serving millions of predictions per second.
Responsibilities
- Design and build the next generation production ML system, including training pipelines, feature pipelines, and real-time inference services.
- Partner with engineering to design infrastructure capable of serving millions of low-latency predictions.
Requirements
- Experience taking ML models from research or prototype to production at scale.
- Experience working with large-scale data pipelines and training infrastructure.
- Strong product intuition and ability to prioritize ML work based on business impact.
- Experience scaling ML teams.
- Excellent communication skills and ability to work across engineering, product, and leadership.
- Fluent Mandarin required.
- Required Skills / Experience
Nice to have
- Experience in advertising technology and real-time systems.
- Experience operating ML infrastructure in on-prem environments using open-source tools including Spark, ClickHouse, AeroSpike, and Prefect.
- RZR is an equal opportunity employer
- RZR is a place where everyone can grow.
- However you identify, and whatever background you bring with you, we invite you to apply if this role excites you.
- RZR provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind.
- This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Compensation
- This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Benefits
- Build and lead the machine learning team, including hiring, mentoring, and establishing engineering culture.
- Translate business and product goals into measurable machine learning improvements.
- 7+ years of experience with a focus on building production machine learning systems.
Company info
- We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
- We are looking for a Head of Machine Learning to lead the development of the next generation of our machine learning platform.
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