Searching for advanced machine learning engineer roles in a remote setting? Jumio is looking for a Machine Learning Engineer IV to enhance their fraud detection solutions, allowing you to work from home while making a significant impact on online security.
About the Role
As a Machine Learning Engineer IV at Jumio, you will be instrumental in developing and refining state-of-the-art algorithms for fraud detection, ensuring secure ID verification processes across various industries.
About the Company
Jumio is a B2B technology company dedicated to eradicating online identity fraud and financial crimes. They leverage AI, machine learning, and biometrics to create trusted solutions for leading brands globally.
Why This Job Stands Out
- Play a key role in developing innovative fraud detection solutions
- Work remotely with a global team dedicated to online security
- Opportunity to engage with cutting-edge technology in machine learning and AI
Job Insights
RoleMachine Learning Engineer IV
Work TypeRemote work from home job
Who This Job Is For
- Experienced professionals seeking remote jobs in machine learning and fraud detection
- Candidates with a strong background in deep learning and computer vision looking for specialized virtual assistant roles
- Individuals interested in working from home with a focus on innovative AI solutions
What You Will Do
- Develop and maintain key computer vision models that shape Jumio's fraud detection offerings
- Design and implement machine learning and deep learning algorithms focused on fraud detection
- Research and support the deployment of advanced algorithms in production environments
- Deploy models using AWS SageMaker or directly onto devices
- Collaborate with engineers and product managers in an Agile development environment
What They Are Looking For
Skills & Experience
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 6+ years of commercial experience in machine learning/deep learning
- Experience with training deep learning models for deepfakes or synthetic data detection
- Proficiency in PyTorch, TensorFlow, and developing production-grade Python code
- Strong communication and problem-solving skills
What They Expect
- Ability to convert machine learning metrics to product goals
- Experience in monitoring and maintaining ML models in production
- Familiarity with cloud environments like AWS or GCP
Tips for Applicants
- Highlight your experience with deep learning and computer vision in your application
- Showcase any projects related to fraud detection or AI that you've worked on
- Emphasize your ability to work collaboratively in a remote team environment
Frequently Asked Questions
What qualifications are required for this role?
Candidates should have a Bachelor's or Master's degree in a related field and at least 6 years of commercial experience in machine learning or deep learning.
Is prior experience with AWS or GCP necessary?
While not mandatory, experience with cloud environments like AWS or GCP is highly valued for this position.
