Role OverviewDesign, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle. Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
What You Will Do
Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data. Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
Why It Might Be a Fit
Strong programming skills in Python, hands-on experience with ML frameworks such as PyTorch or TensorFlow, and familiarity with cloud environments and infrastructure are required. Excellent communication skills and ability to engage directly with customers and stakeholders are also necessary.
Requirements
- 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 (TypeScript experience is a plus).
- Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
- Familiarity with cloud environments and infrastructure (preferably AWS).
- 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.
Benefits
- above market base
- bonus
- equity
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