ML Engineer for a rapidly growing Tier 1 VC backed startup based in New York, responsible for designing, building, and deploying production-grade ML systems, architecting AI-powered solutions, and collaborating with cross-functional teams.
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.
- 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.
- Proficiency in building scalable data pipelines for model training and evaluation.
