机器学习工程师 - IV（计算机视觉）
Machine Learning Engineer - IV (Computer Vision)
机器学习工程师 IV –（计算机视觉）
我们正在寻找一位资深机器学习工程师，具备深厚的计算机视觉和生物识别技术经验，负责领导生产环境中人脸识别系统的架构设计与扩展。你将构建和训练模型，并在 AWS 上全程负责机器学习系统。该职位的最终级别将在面试流程结束后确定。
你将负责
- 领导生物识别（人脸属性、检测、质量及识别）计算机视觉系统的架构设计与开发
- 对生物识别模型进行严格的公平性分析和基准测试，覆盖多种数据集和运行条件
- 使用 PyTorch、Tensorflow 和/或 JAX 架构、训练并优化模型
- 全程负责端到端的机器学习流水线，从数据摄入到部署。设计自动化流水线（Airflow）用于数据摄入和清洗。你将负责构建平衡的训练集，并生成合成数据以解决质量和多样性差距问题
- 生产工程：负责模型进入生产环境的路径。优化模型以实现低延迟推理（量化、蒸馏、TensorRT/ONNX），并在 AWS 上管理部署
- 指导机器学习工程师，进行代码/设计评审，并推动计算机视觉团队的技术最佳实践
我们希望你具备
- 经验：5 年以上机器学习行业经验，其中至少 3 年专注于生物识别或人脸分析
- 在计算机视觉和生物识别领域，尤其是人脸识别方面有深入的专业知识
- 公平性与伦理：你了解计算机视觉中算法偏见的来源，并有实际测量和缓解差异影响的经验
- 强大的工程能力：精通 Python（包括机器学习和视觉库如 Pillow、OpenCV、PyTorch 等）。你编写清晰、模块化、可投入生产的代码
- 系统架构：有设计端到端机器学习流水线（数据到训练到部署）的经验，并熟悉工作流编排工具如 Airflow
- 原生云：有在多 GPU 集群上扩展训练任务以及在 AWS 上部署服务（SageMaker、EC2、EKS）的实际经验
加分项
- 研究发表：在 CVPR、ICCV、ECCV 或 FG 上发表过与人脸识别、图像质量评估或公平性相关的论文
- 大规模搜索：有使用向量数据库（如 Milvus、Faiss）和近似最近邻（ANN）搜索算法的经验
- 熟悉隐私、安全和合规性要求
查看英文原文
Machine Learning Engineer IV – (Computer Vision)
We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own 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
- Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
- Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.
- Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
- Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
- Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
- Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.
What We’re Looking For
- Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis.
- Deep expertise in computer vision and biometrics, especially face recognition.
- Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
- Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
- Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
- Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).
Nice to Have
- Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
- Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
- Familiarity with privacy, security, and compliance in biometric systems.
- Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
- Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
- Strong communication skills.
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 .
Originally posted on Himalayas