Senior Machine Learning Engineer
Tasks
- Build data pipelines for ML and LLM
- Collaborate with data teams and stakeholders
- Create platform features for ML deployment
- Design and implement search systems
- Develop scalable ML serving systems
- Drive adoption of ML and GenAI solutions
- Ensure development standards
- Motivate junior engineers
- Optimize relevance and user experience
- Share findings via dashboards and reports
Perks/Benefits
- 401k matching
- Bonus opportunities
- Career development
- Health insurance
- Inclusive culture
- Long-term incentives
- Paid time off
- Pet insurance
Skills/Tech-stack
AWS | Airflow | Autocomplete | Automation | Azure | Data Governance | Data Structures | Data Testing | Databricks | Distributed Computing | Embedding retrieval | Engineering principles | Flink | GCP | GenAI | Hugging Face | Hugging Face Transformers | Java | Kafka | Keras | LLM | Langchain | LightGBM | ML frameworks | MLflow | PyTorch | Python | Scikit-learn | Semantic Search | Software Engineering | Software Engineering Principles | Spark | TensorFlow | Terraform | Typeahead | Vector Databases
Education
Regions
Countries
States
Cities
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