Machine Learning Engineer
Tasks
- Build data and model pipelines
- Deploy machine learning models at scale
- Design production machine learning models and systems
- Improve latency throughput and model quality
- Optimize system performance using measurable metrics
- Own 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
- Caregiving support programs
- Comprehensive healthcare benefits
- Family planning support
- Flexible vacation
- Gender-affirming care
- Income replacement programs
- Mental health coaching
- Paid parental leave
- Paid volunteer time off
- Professional development support
Skills/Tech-stack
Advertising Auctions | Airflow | BigQuery | Convolutional Neural Networks | Data Pipelines | Deep learning | Distributed Systems | Feature Engineering | Go | Graph Neural Networks | Java | Kafka | LLM Evaluation | Language Models | Language Processing | Large Language Models | Low Latency | Low-Latency Systems | Machine Learning | Model Monitoring | Model Serving | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | RAG | Random Forest | Ray | Recommender Systems | Redis | Search & Ranking | Spark | TensorFlow | Transformers | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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