Senior Machine Learning Engineer
Jumio is hiring a Senior Machine Learning Engineer in Montreal, Canada. Level rates it ; you can apply on Jumio.
Level's read on this job
- Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, TensorFlow and JAX.
- Level classifies it as a senior role.
- Level lists 16 other open roles at Jumio.
AI in this role
Design, train, and scale computer vision models and machine learning pipelines for biometrics use cases on AWS.
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
- 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
Nice to Have
- 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 privacy@jumio.com.
How we rate this
Senior Machine Learning Engineer at Jumio rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $199k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where model optimization was part of your work. What did you do?
- Tell me about a project where biometrics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Computer vision, Machine learning, Deep learning, Model Optimization, and Biometrics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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