Applied AI / ML Engineer
Palo Alto, California, United States
A USD 150K-225K (estimate) Mid-level Full Time
Tasks
- Build and scale machine learning infrastructure
- Collaborate with domain experts to define quality thresholds
- Deploy and integrate LLMs and LLM APIs
- Design and optimize inference systems
- Develop dataset pipelines
- Develop expert systems for tax knowledge
- Drive experiments and measure ML metrics
- Improve model accuracy speed and quality
- Integrate inference pipelines into end to end product workflow
- Iterate on models and system outcomes
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agents | Amazon S3 | Artificial Intelligence | Cloud Storage | Cloud platform | Dataset Pipelines | Django | Docker | Document Understanding | Experimentation | Flask | GCS | Google Cloud | Google Cloud Platform | Google Cloud Storage | Inference Optimization | Keras | Kubernetes | LLM | LLM APIs | Language Processing | Machine Learning | Natural Language | Natural Language Processing | OCR | Pandas | PostgreSQL | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Spacy | TensorFlow
Education
N/A
Regions
Countries
States
Cities
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