Senior Machine Learning Engineer
Tasks
- Build scalable data and model pipelines
- Contribute to ML architecture and long term roadmap
- Deploy machine learning systems at scale
- Design production machine learning models
- Improve ranking recommendations and search relevance
- Optimize latency throughput and model quality metrics
- Own ML lifecycle from problem definition to monitoring
- Research and apply state of the art machine learning and AI
Perks/Benefits
- 401k match
- Family planning support
- Flexible vacation
- Gender-affirming care
- Health care benefits
- Income replacement programs
- Mental health and coaching
- Paid parental leave
- Paid volunteer time off
- Professional development
Skills/Tech-stack
Airflow | BigQuery | Convolutional Neural Networks | Data Pipelines | Deep learning | Distributed Computing | Feature Engineering | Fine Tuning | Go | Graph Neural Networks | Information Retrieval | Java | Kafka | Knowledge Distillation | LLM Evaluation | Language Processing | Low Latency | Low-Latency Systems | Machine Learning | Model Evaluation | Model Serving | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | RAG | Random Forest | Ranking Systems | Ray | Recommender Systems | Redis | Spark | TensorFlow | Transformers | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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