高级机器学习开发工程师
Senior Machine Learning Developer
Qohash 正在构建零拷贝数据安全控制层，企业需要安全地采用 AI。
我们的平台 Qostodian 帮助大型组织在不移动或复制数据的情况下发现、分类、管理并修复其最关键的数据源中的敏感非结构化数据。这种零拷贝架构减少了暴露风险，保护了数据主权，并使企业能够在数据所在位置直接进行安全防护。
这很重要，因为 AI 的采用正在增加企业数据安全的风险、复杂性和紧迫性。在组织能够安全地部署 AI 代理、协作助手、检索系统或自动化工作流之前，他们需要知道敏感数据的位置，谁和什么可以访问它，以及如何大规模实施控制。
公司文化是我们核心
我们的五个核心价值观不仅仅是口号，而是我们生活的方式。我们知道，具有强大文化和更高目标的公司长期表现更好。
我们的价值观是否引起你的共鸣？
- 追求卓越
- 坚韧
- 专注使命
- 责任感
- 善于应对冲突
关于团队
我们正在组建一个新团队，负责 QSIDS（Qohash 敏感信息检测系统）的发布，专注于检测引擎。该团队的核心重点是嵌入式 AI 的集成，即直接在设备和系统内运行的机器学习模型。这涉及高性能、低资源、设备端推理，并嵌入到检测引擎本身中。该引擎使用 Go 编写，对性能和最小资源占用有很强的要求。
你是什么样的人
你是一位注重实践的 Go 开发者，喜欢贴近硬件——分析热点路径、减少分配，让并发系统在负载下行为可预测。你喜欢集成工作：将组件、原生库和模型整合成一个连贯的引擎，并让这些部分无缝衔接。你以交付成果为荣，关注其在生产环境中的表现，并持续迭代以保持其快速和可靠。你具备扎实的工程基础，习惯编写测试，并自然地与团队协作，帮助团队达成高质量的决策。你适应初创公司的节奏和不确定性，并关心结果，而不仅仅是代码。
你会做什么
- 设计和构建适用于 Windows、macOS 和 Linux 的高效跨平台检测引擎。
- 将嵌入式机器学习模型集成到引擎中，实现设备端推理，并负责该功能的完整开发。
查看英文原文
Qohash is building the zero copy data security control layer, enterprises need to adopt AI safely.
Our platform, Qostodian, helps large organizations discover, classify, govern, and remediate sensitive unstructured data across their most critical data sources without moving or copying the data. This zero copy architecture reduces exposure, preserves data sovereignty, and allows enterprises to secure data directly where it lives.
This matters because AI adoption is increasing the risk, complexity, and urgency of enterprise data security. Before organizations can safely deploy AI agents, copilots, retrieval systems, or automated workflows, they need to know where sensitive data lives, who and what can access it, and how to enforce controls at scale.
Company culture is at our core
Our 5 core values are more than just words, they are a way of life for us. We know that companies with a strong culture and a higher purpose perform better in the long run.
Do our values speak to you?
- Pursuit of excellence
- Resilience
- Mission focus
- Accountability
- Embracing conflict
About the team
We are standing up a new team for the QSIDS (Qohash Sensitive Information Detection System) launch, dedicated to the detection engine. A central focus of this team is the integration of embedded AI, machine learning models that run directly on the device and in-system. It is about high-performance, low-resource, on-device inference, embedded into the detection engine itself. The engine is built in Go, with a strong emphasis on performance and minimal resource footprint.
Who you are
You're a hands-on Go developer who likes living close to the metal - profiling hot paths, trimming allocations, and making concurrent systems behave predictably under load. You enjoy integration work: wiring components, native libraries, and models into a coherent engine, and making the seams disappear. You take pride in owning what you ship, watching how it behaves in production and iterating to keep it fast and reliable. You bring strong engineering fundamentals, write tests as a matter of course, and collaborate naturally, helping the team converge on quality decisions. You're comfortable with the pace and ambiguity of a startup, and you care about the outcome, not just the code.
What you will do
- Design and build a highly efficient cross-platform detection engine for Windows, macOS, and Linux.
- Integrate embedded machine learning models into the engine for on-device inference, and own the runtime, bindings, and data paths that make them work in-system.
- Collaborate closely with machine learning and systems colleagues to turn models into production-ready components.
- Optimize end to end for latency, memory footprint, and CPU — profiling, benchmarking, and tuning both engine code and model execution.
- Own features all the way to production including instrumenting, monitoring, and iterating to keep them reliable.
- Collaborate with stakeholders to define milestones and ensure timelines align with development needs.
- Participate in discussions on technological choices and decisions regarding product development.
- Resolve anomalies and problems as soon as they arise.
- Help onboard and train colleagues as the team grows.
- Communicate technical concepts to both technical and non-technical stakeholders.
What your resume shows
Must Haves
- 7+ years' experience building and shipping production software in Go
- Strong systems programming fundamentals - memory management, concurrency, profiling, and software optimization in performance-sensitive, resource-constrained environments
- Hands-on track record owning code post-deployment: instrumenting, debugging, and iterating on live systems
- A bachelor's or master's degree in computer science, engineering, or a related field (or equivalent professional experience)
Nice to Haves
- Experience embedding ML models for on-device inference (a strong asset for this role)
- Experience with Rust, C/C++ or another low-level systems language
- Experience building, training, or optimizing machine learning models, including compression, quantization, and tuning for low-latency inference
- Bilingual (French and English)
- Experience working in a startup environment
What's in it for you?
- Competitive salary range.
- Enjoy up to six weeks of paid time off annually. At Qohash, we recognize your dedication and believe in giving you ample time to rejuvenate.
- Comprehensive health benefits package, including life insurance, short- and long-term disability insurance, paramedical and telemedicine services, and an HSA account.
Qohash is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law. A working proficiency in English is required for this position based on the company’s operational requirements. Only those candidates selected for interview will be contacted.
Originally posted on Himalayas