机器学习负责人
Lead ML Engineer
Intuition Machines 构建以人工智能/机器学习为核心的的企业安全产品。我们将研究成果应用于服务数亿人的系统，团队分布在全球各地。你可能已经了解我们最知名的产品——hCaptcha 安全套件。我们的方法很简单：低开销、小团队和快速迭代。
我们正在寻找一位具有扎实软件工程能力和创造性思维的机器学习工程师负责人，专注于解决与机器学习相关的问题。
使用 AI：代码代理无疑是很有用的工具。我们提供对前三大模型的访问，并且是最早采用评估优先开发流程的公司之一。熟悉使用代理进行编码是所有面试的一部分。然而，可靠性与正确性对我们来说至关重要。你需要阅读并理解每行写有你名字的代码，并且这些代码将由人和机器共同审查。
你在这里将要做的事情：
- 从构思到生产，领导大规模的机器学习项目和产品，监督整个生命周期，包括设计、实现、部署和维护。
- 做出关键的架构决策，确保解决方案可扩展、高效且易于维护，同时平衡业务和技术约束。
- 推动机器学习和工程团队之间的协作，确保产品成功，在所有层级的技术讨论和决策中产生影响。
- 设计和实现对数百万用户产生影响的最先进的机器学习流水线和模型，创造实际的商业价值。
- 设定技术标准，领导可扩展、可测试和高性能应用的开发。
- 为其他机器学习工程师提供领导和指导，促进强大的机器学习工程组织的发展。
你将学到的内容：
- 参与每天影响数百万用户的系统，以数十亿的数据点和每秒数百万次推理来扩展机器学习系统。
- 获得在现实世界挑战中构建和扩展高级机器学习解决方案的经验，超越研究论文中的标准方法。
- 有机会定义技术战略，为重要的机器学习进步做出贡献，并指导大规模机器学习系统的未来发展方向。
我们寻找的人选：
- 7年以上构建和维护大规模生产级机器学习系统经验，重点关注性能、可扩展性和可靠性。
- 作为负责人或主要贡献者，有在大型机器学习项目中取得成果的实证经验。
查看英文原文
Intuition Machines builds enterprise security products with an AI/ML focus. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: low overhead, small teams, and rapid iteration.
We’re looking for a Lead Machine Learning Engineer with strong software engineering skills and a creative mindset for ML-focused problem-solving.
Using AI: Coding agents are indisputably useful tools. We provide access to the top 3 models, and were early adopters of evals-first development flows. Familiarity with coding using agents is part of all interviews. However, reliability and correctness are critical for us. You will need to read and understand every line of code with your name on it, and it will be reviewed by both people and machines.
What you will do here:
- Lead large-scale ML projects and products from inception to production, overseeing the entire lifecycle from design and implementation to deployment and maintenance.
- Make key architectural decisions to ensure solutions are scalable, efficient, and maintainable while balancing business and technical constraints.
- Drive collaboration across ML and engineering teams to ensure product success, influencing technical discussions and decisions at all levels.
- Design and implement state-of-the-art machine learning pipelines and models that impact millions of users and generate real business value.
- Set technical standards and lead the development of scalable, testable, and high-performance applications.
- Provide leadership and mentorship to other ML engineers, fostering the growth of a strong Machine Learning Engineering organization.
What you will learn:
- Work on systems that affect millions of users daily, scaling machine learning systems with billions of data points and millions of inferences per second.
- Gain experience in architecting and scaling advanced ML solutions for real-world challenges, moving beyond standard approaches from research papers.
- Have the opportunity to define technical strategy, contribute to significant ML advancements, and guide the future direction of ML systems at scale.
What we are looking for:
- 7+ years of experience building and maintaining large-scale production ML systems, with a focus on performance, scalability, and reliability.
- Proven experience as the owner or significant contributor to products used by tens of thousands of customers, with the ability to make complex design decisions.
- Expertise in machine learning algorithms, productionizing ML models, and scaling systems to handle large data volumes.
- Strong problem-solving skills with creative approaches to overcoming technical challenges.
- Experience leading technical discussions, driving decisions, and setting technical standards for a team.
- Excellent written and verbal communication skills, with the ability to articulate complex technical topics to both technical and non-technical stakeholders.
- Familiarity with modern orchestration platforms (Kubernetes, containerization, microservice design) and distributed systems.
- Ability to identify, define, and segment complex research problems and drive innovative solutions that align with business and technical goals.
What we offer:
- Fully remote position with flexible working hours.
- An inspiring team of colleagues spread all over the world.
- Pleasant, modern development and deployment workflows: ship early, ship often.
- High impact: lots of users, happy customers, high growth, and cutting edge R&D.
- Flat organization, direct interaction with customer teams.
We celebrate equality of opportunity and are committed to creating an inclusive environment for all team members. Join us as we transform cybersecurity, user privacy, and machine learning online!
Please note that all positions require pre-employment screening, including third-party verification of work history, education, and identity, as well as a final in-person interview and identity verification step, which will be conducted in your country of residence.
Originally posted on Himalayas