ML Engineer
On-sitePalo Alto, California, United States
Job Summary
Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle from conception to deployment and maintenance. Architect AI-powered solutions enabling natural speech interaction and real-time audio understanding to extract business-critical insights from unstructured voice data. Build agents operating natively on real-world audio inputs and collaborate with cross-functional teams to shape the foundations of the AI stack. Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments while working directly with customers to identify needs and deliver impactful solutions.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field
- 1-6 years of professional experience in ML engineering
- Strong programming skills in Python
- Hands-on experience with ML frameworks such as PyTorch or TensorFlow
- Strong understanding of data pipeline design, real-time inference, and model monitoring
- Excellent communication skills with the ability to engage directly with customers and stakeholders
- Proven experience building and deploying ML models into production environments
- Demonstrated ability to own the full model lifecycle from data ingestion and model development to deployment and monitoring
- Experience with audio-focused ML projects or similar domains involving unstructured data
- Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices
Desired Qualifications
- TypeScript experience
- Familiarity with cloud environments and infrastructure (preferably AWS)
- Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3
- Experience working with Founders, CTOs, and Heads of AI
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