Helm.ai
Helm.ai is building the next generation of AI technology for ADAS, autonomous driving, and robotics automation.
Research Engineer, Optimization
Location
United States
Posted
8 days ago
Salary
Not specified
Professional Certificate5 yrs expEnglishPythonPy TorchTensorflow
Job Description
• Focus on research and development related to the optimization of ML models on GPU’s or AI accelerators
• Research, prototype and evaluate state of the art model optimization techniques and algorithms
• Characterize neural network quality and performance based on research, experiment and performance data and profiling
• Incorporate optimizations and model development best practices into existing ML development lifecycle and workflow.
• Define the technical vision and roadmap for DL model optimizations
• Write technical reports indicating qualitative and quantitative results to colleagues and customers
• Develop, deploy and optimize deep learning (DL) models on various GPU and AI accelerator chipsets/platforms
Job Requirements
- Proficiency in ML model development and optimization techniques (e.g. numerical optimization, quantization, sparsity, pruning, architecture search and design), particularly on model deployment onto GPU’s or AI accelerators
- Strong understanding of deep learning algorithms, software engineering and GPU-based computing
- Experience working with neural networks in Tensorflow and/or PyTorch
- Proven ability to thrive in fast-paced environment
- Ability to communicate complex technical concepts to colleagues and a variety of audience
- Introspection, thoughtfulness, and detail-orientation
- Proficiency in Python
- Master’s or Ph.D. in a related field and/or 5+ years of experience in a directly related field (a plus)
Benefits
- Competitive health insurance options
- 401K plan management
- Free lunch and fully-stocked kitchen in our South Bay office
- Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale
- The opportunity to work on one of the most interesting, impactful problems of the decade
