Remote opportunity at
JumioMachine Learning Engineer - IV (Biometrics)
Jumio is seeking a remote Machine Learning Engineer - IV focused on Biometrics to lead the creation and scaling of production-level face recognition systems. Operating globally…
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About This Role
Jumio is seeking a remote Machine Learning Engineer - IV focused on Biometrics to lead the creation and scaling of production-level face recognition systems. Operating globally with headquarters in India, Jumio is a business-to-business technology enterprise focused on preventing online financial crimes, money laundering, and digital identity fraud through automation, artificial intelligence, biometrics, and liveness detection. The final job level for this position will be finalized following the candidate interview…
Job Description
Jumio is seeking a remote Machine Learning Engineer - IV focused on Biometrics to lead the creation and scaling of production-level face recognition systems. Operating globally with headquarters in India, Jumio is a business-to-business technology enterprise focused on preventing online financial crimes, money laundering, and digital identity fraud through automation, artificial intelligence, biometrics, and liveness detection. The final job level for this position will be finalized following the candidate interview process.
This role suits an experienced machine learning professional who wants to design computer vision systems, handle fairness evaluations, and manage end-to-end model architectures on AWS. Responsibilities include building automated data pipelines, generating synthetic training data, and optimizing algorithms for low-latency inference. The position also involves mentoring team members, directing technical practices within the computer vision group, and maintaining model performance across varied operating conditions.
Jumio values diversity and inclusion, bringing together individuals from different backgrounds and cultures. Personal information submitted during the hiring process is handled according to the company applicant privacy notice.
Responsibilities
- Lead the creation and architecture of computer vision systems handling face recognition, detection, quality assessment, and attributes
- Conduct rigorous fairness analyses and benchmark biometric models across various operating conditions and datasets
- Architect, train, and refine models utilizing PyTorch, TensorFlow, or JAX
- Manage complete machine learning pipelines stretching from data intake to deployment
- Build automated ingestion and cleaning pipelines via Airflow
- Curate balanced training sets and create synthetic data to bridge diversity and quality gaps
- Optimize models for low-latency inference through quantization, distillation, TensorRT, or ONNX
- Manage service deployment on AWS and scale training jobs across multi-GPU clusters
- Mentor team members, perform code and design reviews, and guide technical best practices
Requirements
- At least 5 years of professional machine learning experience
- Minimum of 3 years of focused experience working in biometrics or face analysis
- Expert proficiency in Python alongside machine learning and vision libraries such as OpenCV, Pillow, and PyTorch
- Practical experience measuring and mitigating algorithmic bias and disparate impact in computer vision
- Background in designing end-to-end machine learning pipelines and utilizing workflow orchestrators like Airflow
- Hands-on expertise deploying services on AWS and scaling training jobs on multi-GPU clusters
Qualifications
- Research papers published in conferences such as CVPR, ICCV, ECCV, or FG focusing on face recognition, image quality, or fairness
- Experience working with vector databases and approximate nearest neighbor search algorithms
- Familiarity with compliance, security, and privacy considerations in biometric systems
- Experience porting models to edge or mobile devices using LiteRT, TFLite, or CoreML
- Background using generative adversarial networks or diffusion models to produce synthetic faces for training
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the remote work policy for this position?
The position is remote.
What employment type is this role?
The employment type is full-time.
What compensation is offered for this role?
The source posting does not specify a salary.
What are the primary technical tools required?
Candidates must have expert proficiency in Python, experience with PyTorch, TensorFlow, or JAX, familiarity with workflow orchestrators like Airflow, and hands-on skills with AWS.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.