Role OverviewOur Client is a rapidly growing startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. They empower teams to coach more effectively, close more deals, and boost average ticket sizes by turning field conversations into searchable, actionable data. This company is redefining how businesses learn from and optimize their in-person customer experiences.
What You Will Do
Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle. Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
Why It Might Be a Fit
We are looking for a talented ML Engineer with 1-6 years of experience in building and deploying ML models into production environments. You will work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
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
Benefits
- above market base
- bonus
- equity
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