创始应用科学家
Founding Applied Scientist
职位描述
我们的客户是一家创新的AI驱动零售安全公司，目前正处于10倍增长阶段。随着他们从单个零售商扩展到拥有100家以上门店的大型企业客户，他们正在寻找一位联合应用科学家，从零开始构建核心AI能力。
这不是一个“纯研究”岗位。你将是一个亲自动手的开发者，负责整个模型开发生命周期。你将负责从数据收集策略和质量评估到训练、推理优化以及交付生产级代码的所有工作。直接向CTO汇报，你将与分布式工程团队合作，交付对零售安全和运营有直接影响的计算机视觉解决方案。
主要职责
- 主导模型开发：全面负责模型生命周期，包括生产训练、优化和推理部署。
- 搭建研究与工程之间的桥梁：编写大量可投入生产的代码（Python），确保计算机视觉模型通过跨职能工程团队成功部署。
- 战略数据规划：设计并实施数据收集和质量评估框架，以提高真实零售环境中的模型准确性。
- 技术沟通：向工程团队和高管领导层展示复杂的技术发现和AI路线图。
我们寻找的人才
- 经验：在应用科学、机器学习工程或计算机视觉相关岗位上有3年以上专业经验。
- 业绩证明：你曾交付过面向客户的產品，并在实际的计算机视觉应用（如YOLO或其他类似架构）中有丰富经验，而不仅仅是学术项目。
- 技术能力：熟练掌握Python，具备PyTorch或TensorFlow的高级技能。
- 学术背景：计算机科学、机器学习或计算机视觉领域的硕士或博士学历。
- 协作精神：适应快节奏的初创环境，能够与分布在不同时区的团队协作（特别是土耳其的工程团队）。
最初发布于Himalayas
查看英文原文
About the Role
Our client is an innovative AI-driven retail security firm currently experiencing 10x growth. As they scale from individual retailers to massive enterprise clients with 100+ locations, they are seeking a Founding Applied Scientist to build their core AI capabilities from the ground up.
This is not a "pure research" role. You will be a hands-on builder owning the full model development lifecycle. You’ll be responsible for everything from data collection strategy and quality assessment to training, inference optimization, and shipping production-quality code. Reporting directly to the CTO, you will collaborate with a distributed engineering team to deliver computer vision solutions that have an immediate impact on retail safety and operations.
Key Responsibilities
- Lead Model Development: Take full ownership of the model lifecycle, including production training, optimization, and inference deployment.
- Bridge Research & Engineering: Write substantial, production-ready code (Python) to ensure CV models are successfully deployed via cross-functional engineering teams.
- Strategic Data Planning: Design and implement data collection and quality assessment frameworks to improve model accuracy in real-world retail environments.
- Technical Communication: Present complex technical findings and AI roadmaps to both engineering teams and executive leadership.
What We’re Looking For
- Experience: 3+ years of professional experience in Applied Science, ML Engineering, or Computer Vision roles.
- Proven Track Record: You have shipped customer-facing products and have deep experience with real-world CV applications (e.g., YOLO or similar architectures), rather than just academic projects.
- Technical Mastery: Advanced proficiency in Python with PyTorch or TensorFlow.
- Academic Background: Master’s degree or PhD in Computer Science, Machine Learning, or Computer Vision.
- Collaborative Spirit: Comfortable working in a fast-paced startup environment and collaborating with distributed teams across time zones (specifically Turkey-based engineering).
Originally posted on Himalayas