Senior ML Engineer
New York, New York, United States
USD 300K-375K Senior-level Full Time
Tasks
- Build and maintain APIs
- Build production Python pipelines
- Build structured data extraction pipelines
- Collaborate with stakeholders on roadmap
- Communicate model behavior and tradeoffs
- Construct evaluation sets and backtests
- Define labels and features
- Deploy models to production environments
- Detect data leakage
- Ensure observability and failure handling
- Evaluate prompts and models
- Evaluate source quality
- Implement background jobs
- Implement safety guardrails
- Improve large language model systems
- Manage model and feature compatibility
- Optimize cost and latency
- Own applied machine learning end to end
- Run release cycles
- Select optimal modeling approaches
- Validate untrusted external inputs
Perks/Benefits
- Career growth opportunities
- High autonomy
- High-trust environment
- Networking opportunities
- Startup environment
Skills/Tech-stack
API | Background Jobs | Backtesting | Calibration | Cost Optimization | Data Pipelines | Data extraction | Data leakage | Data leakage detection | Deep learning | Feature Engineering | Input validation | Interpretability | LLM Evaluation | Language Models | Language Processing | Large Language Models | Latency optimization | Leakage detection | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Retry strategies | Safety Guardrails | Structured data | Structured data extraction
Education
N/A
Regions
Countries
States
Cities
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