Manager, Applied Machine Learning
Tasks
- Automate model retraining pipelines
- Build low-latency inference pipelines
- Collaborate on API design and UI data contracts
- Deploy real-time ML models
- Design train and deploy ML models for voice use cases
- Develop event-driven data pipelines
- Implement model monitoring and drift detection
- Manage cross-functional relationships
- Stand up machine learning team
Perks/Benefits
- 401k employer contribution
- Day-one benefits
- Employee discounts
- Free financial counseling
- Maternity support
- Paid parental leave
- Paid time off
- Student loan refinancing
- Therapist sessions
- Tuition reimbursement
Skills/Tech-stack
AWS EventBridge | AWS Lambda | Amazon Aurora | Amazon ElastiCache | Amazon S3 | Amazon SQS | Apache Airflow | CI/CD | Fine Tuning | Generative AI | Inference Server | Infrastructure as Code | Kafka | Langchain | Langgraph | Language Models | Large Language Models | Latency optimization | MLflow | Machine Learning | Prompt engineering | PyTorch | Python | Spark | Speech-to-Text | TensorRT | Triton Inference | Triton Inference Server | VLLM | WebSockets | Weights and Biases | “as-code”
Education
N/A
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