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Machine Learning Infrastructure Specialist
2 months ago
Sentry is seeking a highly skilled Senior Machine Learning Systems Engineer to join our AI/ML team. As a key member of our team, you will be responsible for building the core infrastructure used to develop, evaluate, deploy, and iterate on machine learning models and pipelines at scale.
Key Responsibilities- Design and implement scalable machine learning infrastructure to support Sentry's AI/ML initiatives
- Develop and maintain high-performance machine learning models and pipelines using PyTorch or TensorFlow
- Collaborate with cross-functional teams to integrate machine learning into Sentry's core products
- Optimize the performance of machine learning models and pipelines for real-world applications
- Minimum 7+ years of professional experience with a Bachelor's degree in computer science, machine learning, or a related field
- Expertise in building and operating large-scale distributed systems on cloud platforms like GCP, AWS, or Azure
- Experience with distributed large-scale data processing tools, such as Apache Spark or Flink
- Strong understanding of machine learning frameworks and deployment at scale in production environments
- Excellent communication and collaboration skills
- Competitive salary range: $190,000 - $235,000 USD
- Eligibility for equity grants and incentive compensation
- Comprehensive benefits package, including group health insurance coverage
