Senior Machine Learning Engineer – Fine-Tuning and On-device AI
Tasks
- Build data pipelines for domain specific datasets
- Define evaluation metrics and analyze results
- Design and run experiments to improve accuracy and robustness
- Develop AI orchestration and planning models for decision workflows
- Establish versioning and reproducibility best practices
- Fine tune and adapt large language models and multimodal models
- Optimize models for on device low latency inference
Perks/Benefits
- Dental insurance
- Employee assistance program
- Flexible Paid Vacation
- Flexible paid sick leave
- Flexible spending account
- Health insurance
- Life insurance
- Long-term disability insurance
- Paid Holidays
- Paid parental leave
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
Agent systems | Attention Mechanism | CPU | Continuous Improvement | DPO | Data Annotation | Data Generation | Decision planning | Efficient Fine Tuning | Evaluation metrics | Fine Tuning | Full Fine-tuning | GPU | GRPO | Huggingface | INT4) | INT8 | KV cache | LoRA | Mixed Precision | Model Pruning | Model Quantization | Model versioning | Multi-Agent | Multi-Agent Systems | NPU | ONNX Runtime | OpenVINO | Parameter efficient fine-tuning | PyTorch | Python | QAT | QLoRA | QNN | Reproducibility | Synthetic Data Generation | Synthetic data | Tool orchestration | Transformer
Education
N/A
Regions
Countries
States
Cities
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