Job discription
Algorithm Development & Optimization
- Rapid prototyping of algorithms for high-performance, data-intensive applications.
- Optimization for speed, efficiency, and scalability in production environments.
Programming & Integration
- Python – advanced expertise for data processing, ML model development, and automation.
- C++ – desirable proficiency for integration with vehicle firmware and full product lifecycle delivery.
3. Mathematical & Statistical Foundations
- Strong background in:
- Linear Algebra and Geometry – essential for ML, graphics, and computer vision.
- Probability Theory – for modeling uncertainty and decision-making.
- Numerical Optimization – for training and refining models.
- Statistics – for model evaluation and performance analysis.
4. Deep Learning Frameworks
- Hands-on experience with PyTorch and TensorFlow for model development and deployment.
- Model Optimization & Deployment
Skilled in performance-enhancing techniques:
- Quantization
- Pruning
- TensorRT conversion
- Deploying and maintaining production machine learning use cases
- Domain Expertise
- Proficiency in at least one specialized area:
- Computer Vision
- Large Language Models (LLMs)
- Recommender Systems
- Operations Research
7. Software Engineering Best Practices
- Writing clean, sustainable, and modular code.
- Translating research prototypes into robust, production-ready systems.
Equal Opportunity Employer
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.