3 Python Engineer AI jobs

About Cover Genius Valued at $1.9B following a recent $100M capital raise led by Vista Credit Partners, Cover Genius is the premier global infrastructure platform for embedded protection. Operating across 60+ countries and all 50 US states, our B2B2C technology seamlessly connects over 200 partner platforms - including industry giants like Uber, Booking.com, Klarna, and eBay- with 50+ global insurance carriers to protect 70+ million customers at the point of sale. Coming off a stellar year with 50% YoY revenue growth, over $3B in cumulative gross sales, and 240 million policies issued, we are accelerating into our next phase of scale. As part of our team, you’ll help drive our AI-first roadmap- developing hyper-personalization engines, agentic distribution, and automated claims infrastructure- while building the scalable technology powering the fast-growing $70B embedded protection market. Our people are: Accountable, customer-obsessed, collaborative, driven Our people are...

We're looking for a Senior Machine Learning Engineer with strong computer vision expertise to join our Biometrics team. You'll ramp up on the biometrics domain while contributing to the design, training, and scaling of our ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Design and develop computer vision models and pipelines, contributing to biometrics use cases such as face detection, quality assessment, and recognition Collaborate on benchmarking of models across datasets and operating conditions Train and optimize models using PyTorch, TensorFlow, and/or JAX Contribute to end-to-end ML pipelines, from data ingestion to deployment. Help design automated pipelines (Airflow) for data ingestion and cleaning. Production Engineering: Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and support deployment on AWS. Collaborate with and mentor ML engineers, and...

Machine Learning Engineer – (Computer Vision) We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process. What You’ll Do Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition) Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions. 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 (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and...