Machine Learning Engineer I, Personalization , Minesweeper
Tasks
- Analyze data to establish baselines
- Collaborate with data and backend engineers
- Design build evaluate and ship machine learning systems
- Fine-tune machine learning models
- Implement rag pipelines
- Optimize testing and tooling for content enrichment
- Stay current with machine learning algorithms
- Utilize LLMs for language understanding
Perks/Benefits
- 401k retirement plan
- Flexible holidays
- Health insurance
- Meal allowance
- Paid parental leave
- Paid sick leave
- Paid time off
Skills/Tech-stack
Agile | Apache Beam | Apache Spark | Cloud Dataflow | Data Pipelines | Fine Tuning | Google Cloud | Google Cloud Dataflow | Java | Language Models | Large Language Models | Machine Learning | Near real-time pipelines | Near-real-time | PyTorch | Python | RAG | Ray | Real-time Pipelines | SQL | Scala | TFX | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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