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Senior Machine Learning Engineer – Content and Contributor Intelligence
Yelp. Conduct end-to-end analyses using SQL or Python, statistical modeling, hypothesis development, and presentation of business ideas .
Tech Stack
Tools & technologiesJavaPythonPyTorchScikit-LearnSparkSQLTensorflowC++
About the role
Key responsibilities & impact- Conduct end-to-end analyses using SQL or Python, statistical modeling, hypothesis development, and presentation of business ideas
- Mentor and guide junior engineers
- Work with large and complex textual and visual datasets
- Support development and deployment of machine learning models for offline batch data products and online real-time services
- Develop text and visual understanding systems and fine-tune transformer models to derive embeddings for multiple input types
- Productionize and automate model pipelines within Python services
- Drive adoption of best practices in ML development and operations
- Mentor newer engineers in ML development and operations practices
Requirements
What you’ll need- Experience developing and productionizing machine learning models, particularly neural networks, computer vision, and LLMs, including supported data pipelines
- Experience with PyTorch, TensorFlow, Spark MLlib, XGBoost, and Scikit-learn
- Strong coding skills in Python or equivalent Java or C++
- Solid understanding of engineering and infrastructure best practices
- Experience with LLMs, LLM APIs such as OpenAI and Bedrock, prompt engineering, and evaluation
- Bachelor’s Degree or equivalent work experience required
Benefits
Comp & perks- Bonus
- Restricted stock units
- Yelp five star benefits
- Hybrid work option across all US locations
- Reasonable accommodations for individuals with disabilities