Senior Software Engineer developing machine learning geospatial products for Planet. Collaborating with engineers and scientists on innovative remote sensing analytics.
YE
Hybrid Machine Learning Manager
Posted 2 months ago
About the role
- Lead the development and operationalization of machine learning systems powering the Taco Bell Voice AI experience
- Ensure performance, scalability, and reliability across real-time models supporting speech, NLU, and agent behavior
- Lead the design of end-to-end ML pipelines for speech, ASR, and NLU modules
- Optimize model performance for real-time interaction, including latency, uptime, and inference cost
- Implement and evolve model evaluation, testing, and monitoring frameworks
- Collaborate with engineering to integrate ML components with external systems (HME, menu boards, POS)
- Support scalable deployment strategies across markets and environments
- Drive MLOps best practices in CI/CD, rollback, logging, and observability
- Mentor and guide a team of MLEs and junior ML engineers
- Partner with product, AI engineering, and QA to define technical scope, delivery targets, and quality standards
- Support internal upskilling and technical review of AI-driven components
Requirements
- 6+ years of experience in machine learning, including at least 2 years in technical leadership roles
- Proven expertise in deploying NLP, ASR, or LLM-based systems in real-time applications
- Strong programming skills in Python and ML tooling (e.g., PyTorch, HuggingFace, ONNX, MLflow)
- Experience optimizing model latency and integrating ML with backend infrastructure
- Preferred: Experience in QSR, retail, or voice-driven customer service environments
- Preferred: Background in integrating AI with physical systems (HME, POS, IoT)
- Preferred: Familiarity with LoRA, quantization, distillation, and model compression techniques
Benefits
- Salary Range: $134,500 to $158,300 annually
- Bonus eligibility
- Hybrid work model: in-office 1–2 days per week required
- Occasional travel to deployment sites or test locations may be needed
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