首席人工智能/机器学习工程师
Principal AI/ML Engineer
地点：马萨诸塞州剑桥市（东部时间/UTC -4） 有搬迁补贴
搬迁补贴：提供
入职时间：尽快
语言：英语（必需）
关于职位
Pragmatike 正代表一家由 MIT CSAIL 研究人员创立的快速发展的 AI 初创公司进行招聘，该公司被 GTM Capital 评为 Top 10 GenAI 公司。
我们正在寻找一位高级 AI/ML 工程师加入一个高效运作的 AI 工程团队，该团队正在构建和部署被财富 500 强客户使用的实际 AI 系统。你将负责关键 ML 组件的技术实现，领导模型开发和生产化工作，并与 AI 研究员、平台工程师和产品团队紧密合作，交付可扩展、高质量的 AI 系统。
该职位面向已有在生产环境中构建和部署模型经验的 AI/ML 工程师，希望他们在研究级 AI 与实际系统工程的交叉领域开展工作。
你将负责
- 设计、构建、训练并优化用于生产的机器学习和深度学习模型
- 领导将 ML 模型部署到可扩展、可靠的生产系统中
- 架构针对结构化和非结构化数据的训练、推理和评估流程
- 负责模型性能、可靠性、可扩展性和生命周期管理
- 推动实验、模型迭代和性能基准测试
- 主要使用 Python 实现和维护高质量的 ML 代码库
- 监控、调试和提升运行中的生产模型
- 与平台、后端和基础设施团队协作进行系统集成
- 参与技术方向、架构决策和 AI 发展路线规划
- 指导初级工程师，支持团队层面的技术卓越性
我们寻找的人选
- 计算机科学、工程、数学或相关领域的学士、硕士或博士学历
- 在 AI/ML、数据科学或应用机器学习岗位上有 7 年以上专业经验
- 有将 ML 系统部署到生产环境的实际经验
- 对 ML 基础知识、评估方法和模型生命周期管理有深入理解
- 对 ML 框架如 PyTorch、TensorFlow 或 scikit-learn 有丰富的实战经验
- 精通 Python
- 有设计可扩展 ML 系统和流程的经验
- 能够独立工作并承担复杂系统的技术责任
- 具备强大的问题解决能力、架构能力和系统思维
查看英文原文
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
Relocation package: Available
Start date: ASAP
Languages: English (required)
ABOUT THE ROLE
Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers.
We are looking for a Senior AI/ML Engineer to join a high-performing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will take technical ownership of critical ML components, lead model development and productionization efforts, and work closely with AI researchers, platform engineers, and product teams to deliver scalable, production-grade AI systems.
This role is intended for experienced AI/ML engineers who have already built and deployed models in production environments and want to operate at the intersection of research-quality AI and real-world systems engineering.
WHAT YOU’LL DO
- Design, build, train, and optimize machine learning and deep learning models for production use
- Lead the deployment of ML models into scalable, reliable production systems
- Architect training, inference, and evaluation pipelines for structured and unstructured data
- Own model performance, reliability, scalability, and lifecycle management
- Drive experimentation, model iteration, and performance benchmarking
- Implement and maintain high-quality ML codebases primarily in Python
- Monitor, debug, and improve live production models
- Collaborate with platform, backend, and infrastructure teams on system integration
- Contribute to technical direction, architecture decisions, and AI roadmap planning
- Mentor junior engineers and support team-level technical excellence
WHAT WE’RE LOOKING FOR
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field
- 7+ years of professional experience in AI/ML, data science, or applied machine learning roles
- Proven experience deploying ML systems into production environments
- Strong understanding of ML fundamentals, evaluation methodologies, and model lifecycle management
- Deep hands-on experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Strong proficiency in Python
- Experience designing scalable ML systems and pipelines
- Ability to operate independently and take technical ownership of complex systems
- Strong problem-solving, architecture, and system-design skills
BONUS POINTS
- Experience with deep learning, LLMs, GenAI, or modern AI architectures
- Experience building AI systems used by enterprise or large-scale customers
- Strong experience with cloud platforms (AWS, GCP, Azure)
- MLOps experience (CI/CD for ML, model deployment, monitoring, observability)
- Research background, publications, or applied AI innovation projects
- Experience leading AI initiatives or mentoring ML engineers
WHY THIS ROLE IS HIGH-IMPACT
- Work directly with MIT CSAIL–founded leadership
- Build AI systems deployed to Fortune 500 customers
- Operate at the intersection of cutting-edge AI and real-world production systems
- High ownership and influence over technical direction
- Join a well-funded, fast-growing AI startup with strong technical ambition
- Clear path toward Staff/Principal AI Engineer or AI Architect roles
BENEFITS
- Competitive salary & equity options
- Sign-on bonus
- Health, Dental, and Vision
- 401(k)
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.