about 1 month ago
New York, NY, USAMid Level / Senior
Base Salary
$150k - $250k/yr
Responsibilities
- Build and deploy a multi-stage classification system optimized for high throughput and low latency.
- Integrate continuous feedback loops from human review to refine model performance.
- Design and implement real-world ML systems focusing on robustness, observability, and scalability.
- Collaborate with researchers and SMEs to generate training data and test against edge cases.
- Work closely with a broader team of engineers to integrate ML components into production systems.
Requirements
- At least 3–8 years of professional experience as a Machine Learning engineer.
- Strong foundation in traditional ML techniques such as clustering and supervised learning.
- Hands-on experience with LLMs, including fine-tuning and prompt engineering.
- Proficiency in Python and modern ML/NLP tooling.
- Experience training models on small datasets and using in-context learning techniques.
- Familiarity with text processing pipelines and semantic embeddings.
- Clear communicator of complex technical concepts to non-technical audiences.
- Experience deploying models in cloud environments like AWS or GCP.
- Experience designing or integrating human-in-the-loop systems for model evaluation.
Benefits
- Fully remote, U.S.-based work environment.
- Comprehensive health, dental, and vision coverage.
- Generous PTO and paid holiday schedule.
- 401(k) retirement plan.
- Support for continuing education, conferences, or training.
- Performance-based annual bonus.