At a Glance
- Tasks: Design and implement cutting-edge computer vision technologies for safer online transactions.
- Company: Join Jumio, a leader in biometrics and machine learning innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for mentorship.
- Other info: Dynamic team environment with strong focus on ethical AI practices.
- Why this job: Make a real impact on online security while advancing your career in tech.
- Qualifications: 5+ years in Machine Learning, expertise in biometrics and computer vision.
The predicted salary is between 118800 - 145200 $ per year.
Explore an influential role as a Machine Learning Engineer at Jumio, focusing on computer vision and biometrics. Enhance face recognition systems in a B2B environment.
Jumio is hiring a Staff/Senior Machine Learning Engineer to spearhead the design and implementation of computer vision systems.
You'll leverage your biometrics knowledge to build scalable solutions and ensure model fairness in operational settings.
This position offers you complete ownership of ML pipelines and cloud deployment strategies.
Key
Responsibilities
- Design and implement computer vision technologies
- Conduct fairness assessments on biometric models
- Train and refine ML models with advanced techniques
- Develop automated data pipelines for scalability
- Mentor junior engineers and promote best practices
Requirements
- Minimum 5 years in Machine Learning, 3 years in Biometrics
- Expertise in computer vision and ethical AI practices
- Strong Python skills with relevant libraries
- History of designing ML pipelines end-to-end
- Experience with AWS tools and multi-GPU training
Contribute your expertise in machine learning and biometrics to support Jumio's vision for safer online transactions. #J-18808-Ljbffr
Computer Vision Engineering Role in Montréal employer: Jumio Corporation
At Jumio, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of biometrics and computer vision. Our commitment to employee growth is evident through mentorship opportunities and a focus on technical best practices, all while working in a cutting-edge environment on AWS. Join us in our mission to create fair and ethical biometric solutions, where your contributions will have a meaningful impact.
