Role OverviewOur client is a rapidly growing startup based in New York with $60 million in funding. They're revolutionizing how outside sales and service teams work with AI technology that captures and analyzes real-world conversations. As an ML Engineer, you'll design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecycle.
What You Will Do
Your main responsibilities will include designing and building AI-powered solutions, developing and optimizing ML models, collaborating with cross-functional teams, and working directly with customers to deliver impactful real-world solutions.
Why It Might Be a Fit
This role is a fit for experienced ML engineers who can handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments. You'll have the opportunity to work on audio-focused ML projects and build scalable data pipelines for model training and evaluation.
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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