Senior Machine Learning Engineer
Jumio Corporation
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 contribute to technical best practices across the Computer Vision team.
What We’re Looking For
5+ years of industry experience in Machine Learning with a focus on Computer Vision (image classification, object detection, segmentation, image quality, generative models)
Strong Computer Vision fundamentals
Awareness of algorithmic bias and willingness to learn domain‑specific fairness practices
Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc);
write clean, modular, production‑ready code
Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow
Experience with GPU‑based training and deploying ML services on AWS
Nice to Have
Research publications in top computer vision venues (CVPR, ICCV, ECCV)
Familiarity with vector databases and ANN search
Experience with GANs or diffusion models for data augmentation
Mobile/Edge experience (CoreML, LiteRT, and/or TFLite)
Familiarity with privacy, security, and compliance considerations in sensitive ML applications
Equal OpportunitiesJumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
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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 contribute to technical best practices across the Computer Vision team.
What We’re Looking For
5+ years of industry experience in Machine Learning with a focus on Computer Vision (image classification, object detection, segmentation, image quality, generative models)
Strong Computer Vision fundamentals
Awareness of algorithmic bias and willingness to learn domain‑specific fairness practices
Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc);
write clean, modular, production‑ready code
Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow
Experience with GPU‑based training and deploying ML services on AWS
Nice to Have
Research publications in top computer vision venues (CVPR, ICCV, ECCV)
Familiarity with vector databases and ANN search
Experience with GANs or diffusion models for data augmentation
Mobile/Edge experience (CoreML, LiteRT, and/or TFLite)
Familiarity with privacy, security, and compliance considerations in sensitive ML applications
Equal OpportunitiesJumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
#J-18808-Ljbffr
Vacancy posted 2 hours ago
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