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.
- Experience: 5+ years of industry experience in Machine Learning with a focus on Computer Vision (e.g., image classification, object detection, segmentation, image quality, generative models)
- Strong Computer Vision fundamentals
- Fairness & Ethics: Awareness of algorithmic bias and willingness to learn domain-specific fairness practices
- Strong Engineering: Strong proficiency in Python (Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code
- Systems Architecture: Experience designing or contributing to ML pipelines and familiarity with orchestration tools like Airflow
- Cloud Native: Experience with GPU-based training and deploying ML services on AWS
- Research Publications in top computer vision venues (CVPR, ICCV, ECCV)
- Large Scale Search: Familiarity with vector databases and ANN search
- Synthetic Data: 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
Jumio Values:
IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation
Equal Opportunities:
Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.
About Jumio:
Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders.
Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.
Applicant Data Privacy
We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to [email protected].
Skills Required
- 5+ years industry experience in Machine Learning with a focus on Computer Vision
- Strong computer vision fundamentals (image classification, detection, segmentation, image quality, generative models)
- Proficiency in Python and related libraries (Pillow, OpenCV)
- Experience training and optimizing models using PyTorch, TensorFlow, and/or JAX
- Experience designing/contributing to ML pipelines and familiarity with orchestration tools like Airflow
- Experience with GPU-based training and deploying ML services on AWS
- Experience optimizing models for low-latency inference (quantization, distillation, TensorRT, ONNX) and supporting deployment
- Ability to write clean, modular, production-ready code and strong engineering practices
- Awareness of algorithmic bias and willingness to learn domain-specific fairness practices
- Collaborate with and mentor ML engineers and contribute to technical best practices
- Research publications in top computer vision venues (CVPR, ICCV, ECCV)
- Familiarity with vector databases and ANN search
- Experience with GANs or diffusion models for synthetic data augmentation
- Mobile/Edge experience (CoreML, LiteRT, TFLite)
- Familiarity with privacy, security, and compliance considerations in sensitive ML applications
What We Do
Jumio helps you know, then trust your customers online. From account opening to ongoing monitoring, the Jumio KYX Platform provides advanced identity proofing, risk assessment and compliance solutions to accurately establish, maintain and reassert trust. Leveraging advanced technology including automation, biometrics, AI/machine learning, liveness detection and no-code orchestration with hundreds of data sources, Jumio helps organizations fight fraud and financial crime, onboard good customers faster and meet regulatory compliance including KYC and AML. Jumio has processed more than 1 billion transactions spanning over 200 countries and territories from real-time web and mobile transactions. Based in Palo Alto, Jumio operates globally with offices in North America, Latin America, Europe, Asia Pacific and the Middle East and has been the recipient of numerous awards for innovation. Jumio is backed by Centana Growth Partners, Great Hill Partners and Millennium Technology Value Partners. For more information, please visit jumio.com.
Why Work With Us
Our IDEAL values of Integrity, Diversity, Empowerment, Accountability and Leading Innovation are the compass setting for our culture. Along with our clear and positive purpose of eliminating fraud our values help to bring together a hugely diverse and globally distributed team to work as #onejumio.
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