Related skills
sql python pandas tensorflow keras📋 Description
- Design RL use cases from the ground up to maximize business value.
- Build and own the full ML pipeline from data transformation to deployment.
- Drive customer success with ongoing technical guidance and measurable outcomes.
- Extend product capabilities by building features for the AI deployment team.
- Partner with Product to refine reinforcement learning algorithms.
- Shape BrazeAI strategy with customer insights and technical expertise.
🎯 Requirements
- Bachelor's in CS/DS/Math/Engineering; Master's/PhD preferred.
- 3–5+ years in DS/ML Eng with large-scale data in production.
- Python (Pandas) and ML libs: TensorFlow, Keras, scikit-learn; SQL.
- Git, CI/CD, testing, modular code; scalable solutions.
- Nice-to-have: Airflow, Kubernetes, Terraform, GCP; RL experience.
- Strong communicator with cross-functional collaboration; entrepreneurial.
🎁 Benefits
- Competitive compensation with potential equity.
- Retirement and Employee Stock Purchase Plan (ESPP).
- Flexible paid time off.
- Comprehensive medical/dental/vision and life insurance.
- Professional development with a yearly learning stipend.
- In-office experiences fostering community and innovation.
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