Machine Learning Engineer
Tasks
- Build scalable data and model pipelines
- Contribute to machine learning technical strategy and roadmap
- Design production machine learning models and systems at scale
- Improve system performance latency throughput and model quality metrics
- Own full machine learning lifecycle
- Research and apply state of the art machine learning and AI techniques
- Train, evaluate, deploy, and monitor models
Perks/Benefits
- 401k employer match
- Comprehensive healthcare benefits
- Family planning support
- Flexible vacation
- Gender-affirming care
- Global benefits programs
- Mental health and coaching benefits
- Paid parental leave
- Paid volunteer time off
Skills/Tech-stack
Advertising Auctions | Airflow | BigQuery | Convolutional Neural Networks | Data Processing | Data pipeline | Deep learning | Distributed Systems | Feature Engineering | Fine Tuning | Go | Graph Neural Networks | Java | Kafka | Knowledge Distillation | Large Scale Data | Large-scale | Large-scale Data Processing | Low Latency | Low-Latency Systems | Machine Learning | Model Evaluation | Model Serving | Model Training | Monitoring | Neural Networks | PyTorch | Python | Random Forest | Ray | Recommender Systems | Redis | Regression | Retrieval-Augmented Generation | Search and Ranking | Spark | TensorFlow | Transformers | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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