Senior Machine Learning / Deep Learning Engineer at Jobot
Santa Clara, CA 95050
About the Job
Senior Machine Learning / Deep Learning Engineer Needed - Santa Clara, CA - Innovative AI Solutions for Edge Applications
This Jobot Job is hosted by: Stanton Sikorski
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $150,000 - $400,000 per year
A bit about us:
Founded almost a decade ago and headquartered in Silicon Valley, we are an AI solutions company specializing in developing hardware and software infrastructure to accelerate the adoption of AI at the edge with efficient and flexible accelerator products. Founded by semiconductor and signal processing veterans, our mission is redefining edge AI application development through our unique cloud platform, which unites hardware, model, and application developers for rapid development and deployment.
Why join us?
Job Details
Needed:
Pluses:
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
This Jobot Job is hosted by: Stanton Sikorski
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $150,000 - $400,000 per year
A bit about us:
Founded almost a decade ago and headquartered in Silicon Valley, we are an AI solutions company specializing in developing hardware and software infrastructure to accelerate the adoption of AI at the edge with efficient and flexible accelerator products. Founded by semiconductor and signal processing veterans, our mission is redefining edge AI application development through our unique cloud platform, which unites hardware, model, and application developers for rapid development and deployment.
Why join us?
- Competitive base salary and overall compensation package
- 401 K with generous company match
- Full benefits: Medical, Dental, Vision
- Generous PTO
- Life Insurance coverage
Job Details
- Model Training and Deployment: Train and deploy deep learning models for diverse DNN tasks.
- Model Optimization and Compilation: Optimize and compile models for various runtime agents such as OpenVINO, ONNX runtime, TensorRT, TFLite •runtime, and HW, ORCA.
- Porting Models: Work with open-source custom models and datasets, and port these models to our supported runtimes.
- Benchmarking and Quality Assurance: Benchmark ported models on different runtimes and write quality assurance code for maintenance.
- Documentation: Document and maintain all developed models.
Needed:
- Bachelor’s degree or equivalent practical experience
- 2+ years of experience in machine learning (ML) development, including training networks locally or on the cloud and deploying models in production environments
- PyTorch, Python
- Applied machine learning
- Ability to write ML model definitions and training loops
- Familiarity with common vision and natural language processing datasets and their usage
Pluses:
- Familiarity with machine learning hardware optimization methods such as quantization and pruning
- TFLite, ONNX, or Torch Script
- Familiarity with runtime agents like OpenVINO, TensorRT, and TFLite runtime
Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button.
Salary
150,000 - 400,000 /year