Senior Machine Learning Scientist
Tasks
- Collaborate with engineers for hardware acceleration
- Design and implement MLLM models for multimodal inference
- Design experiments to validate model effectiveness
- Develop NLP NLU and computer vision algorithms
- Evaluate models using real world datasets
- Integrate research findings into projects
- Optimize model performance memory footprint and energy efficiency
- Own technical areas across LLM and computer vision
- Produce patent disclosures publications and technical documentation
- Provide technical leadership to junior scientists
- Research and develop LLM MLLM GenAI and computer vision models
Perks/Benefits
- 401k match
- Dental insurance
- Discretionary paid time off
- Emotional & mental wellness support
- Fitness programs
- Learning and development programs
- Medical insurance
- Paid parental leave
- Snacks in office
- Vision insurance
Skills/Tech-stack
C plus plus | C# | Computer Vision | Deep learning | Experiment design | Generative AI | Image Segmentation | Keras | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Optimization | Model Training | Multimodal Large Language Models | Natural Language | Natural Language Processing | Object Detection | Object Tracking | Object recognition | PyTorch | Python | ROS | Scene Understanding | TensorFlow
Education
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