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Mid LevelFull-timePythonRustAWSMachine LearningTensorFlowPyTorchAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You will build and train models, and own ML systems end-to-end on AWS.
Key Responsibilities
- →Lead the design and development of computer vision systems for biometrics
- →Conduct rigorous fairness analysis and benchmarking of biometric models
- →Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
- →Own and evolve end-to-end ML pipelines, from data ingestion to deployment
- →Design automated pipelines for data ingestion and cleaning
- →Optimize models for low-latency inference and manage deployment on AWS
- →Mentor ML engineers and drive technical best practices
Requirements
- ✓5+ years of industry experience in Machine Learning
- ✓At least 3 years of experience dedicated to Biometrics or Face Analysis
- ✓Deep expertise in computer vision and biometrics, especially face recognition
- ✓Strong understanding of algorithmic bias in Computer Vision and experience mitigating disparate impact
- ✓Expert proficiency in Python and vision libraries such as Pillow, OpenCV, PyTorch
- ✓Experience designing end-to-end ML pipelines and working with workflow orchestrators like Airflow
- ✓Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS
Benefits
- ★Opportunity to work with a leading provider of online identity verification solutions
- ★Chance to contribute to making the internet safer by eradicating online identity fraud
- ★Work with a team of diverse and innovative professionals
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