Data Scientist AI
El Segundo, California, United States
USD 60K-85K (estimate) Entry-level Full Time
Tasks
- Build machine learning models at scale
- Collaborate with cross functional agile teams to build product features
- Conduct ad-hoc analysis and present results
- Develop LLM applications for summarization recommendation personalization
- Evaluate models using benchmarks
- Experiment with agentic AI frameworks
- Fine tune prompts and optimize LLMs
- Implement retrieval-augmented generation pipelines
- Prioritize and promote machine learning efforts
- Process cleanse verify data for analysis
- Synthesize select features to build models
Perks/Benefits
- 401k match
- AD and D insurance
- Commuter benefits
- Dental insurance
- Employee assistance program
- Flexible spending accounts
- Health insurance
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Short-term disability
- Vision insurance
- Wellbeing Coaching Services
Skills/Tech-stack
Adobe Analytics | Agentic AI | Anthropic Claude | Benchmarking | Classification | Collaborative Filtering | Content-Based Filtering | Content-based | Deep learning | Embeddings | Feature Engineering | Feature Selection | Feature Synthesis | Fine Tuning | Gemini | Google Analytics | Graph-Based Models | Graph-based | Hugging Face | Hugging Face Transformers | Hybrid Recommendation Systems | Hybrid Recommenders | Hybrid recommendation | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Machine Learning Pipelines | Model Evaluation | Natural Language | Natural Language Processing | NumPy | OpenAI | Posttraining | Pretraining | Prompt Fine-tuning | Prompt engineering | Python | R | Recommendation Systems | Regression | Retrieval-Augmented Generation | SQL | Scikit-learn | Sequence Models | Session Based Models | TensorFlow | Tokenization | Transformer | Vertex AI
Education
Roles
Regions
Countries
States
Cities
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