Position Details
About this role
This role involves developing and deploying reinforcement learning algorithms, improving product AI capabilities, and collaborating with customer teams to ensure successful implementation of machine learning models.
Key Responsibilities
- Collaborate on implementations
- Improve architecture
- Refine RL algorithms
- Develop reusable data pipelines
- Contribute to product strategy
Technical Overview
The position requires expertise in Python, ML pipelines, reinforcement learning, and deploying models using cloud and container orchestration tools like Kubernetes and GCP.
Ideal Candidate
The ideal candidate is a mid-level data scientist or ML engineer with 3+ years of experience working with large-scale data, reinforcement learning, and deploying machine learning models in production environments. They should be proficient in Python and familiar with cloud and container orchestration tools.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with reinforcement learning, No proficiency in Python, No experience with ML pipelines or model deployment, Inability to work onsite in San Francisco
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