Machine Learning Engineer - Hybrid San Francisco, CA
- Salary: $180,000.00 - $250,000.00 per year
- Work Location: Hybrid remote in South San Francisco, CA 94080
- Job Type: Full-time
Our Machine Learning /AI Team is looking for a skilled ML/AI Engineer
As a Machine Learning Engineer, you will work within the Machine Learning/AI team to build a system that provides reliable identification and fraud prevention using biometric data, while requiring minimal user interaction. The team's technology involves the use of cutting-edge machine learning algorithms deployed on custom hardware to achieve high-quality image acquisition and recognition.
The role involves
- Developing computer vision models
- Integrating them into the hardware device
- Continuously improving the model's performance.
Responsibilities include:
- Collaborating with hardware, orb firmware, and data collection teams to design workflows for collecting training data Building custom data labeling services to improve training data quality
- Setting up and training neural networks for tasks such as localization or semantic segmentation
- Designing techniques to analyze engine performance, identify weaknesses and improve them
- Ensuring biometric engine performs equally well across different demographics
- Implementing visualization tools and monitoring systems for tracking imaging performance, data drift, and edge case robustness
- Conducting research on iris recognition and measuring reaction times of pupil contraction.
The ideal candidate
- Should have industry experience or a Ph.D. in computer vision applications with deep learning,
- With a good understanding of image processing and analysis methods.
- Expertise in Python and deep learning libraries (e.g. Pytorch/Tensorflow)
- Have an eye for detail, and be well-versed with the latest advances in deep learning for computer vision.
- Bonus qualifications include familiarity with Rust, and experience with MongoDB, PostgreSQL, and AWS.
How to Apply
To apply, the interested candidate may submit his/her updated English resume with photo to careers [ at ] alphaaiweb3 dot com by clicking the "apply now" button below.
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