高级机器学习工程师 - 欧洲全远程
Senior Machine Learning Engineer - Fully Remote in Europe
你是否喜欢将复杂的机器学习模型从笔记本中拿出来，构建可扩展的生产级系统？
你是否在寻找一个高影响力、自主的角色，能够端到端地负责核心子系统？
那么，请继续阅读，我们有一个适合你的职位。
该职位位于欧洲。我们的客户使命是通过开发面向普通用户的主动式、AI原生应用，从根本上改变电子邮件、日历和笔记记录的生产力格局。他们为工作流程、日历安排和日常事务带来无缝智能，而无需用户掌握复杂的提示技巧。
我们客户的工程文化专注于为长期运行的工作流提供高可靠性，保持持续上下文，并 flawless 地执行现实任务。通过将产品建立在实用性和稳健架构之上，他们成功减少了模型幻觉。最终目标是自动化个人管理，让人们把精力集中在真正重要的事情上。
主要职责
- 设计并构建驱动主动、前瞻性AI平台的核心机器学习系统。
- 对你的项目拥有完整的端到端责任，从数据整理和模型训练到评估、推理和持续迭代。
- 将前沿研究概念转化为适用于生产环境的稳健、高可靠系统。
- 利用实时生产信号和数据来排查复杂的模型异常和系统瓶颈。
- 驱动快速的开发循环——部署系统，分析真实世界性能指标，优化方法，并迅速重复。
- 与研究、工程和产品团队无缝协作，确保技术里程碑直接转化为实际用户价值。
- 为其他工程师提供实践指导，进行严格的审查，并通过自身执行树立高标准的技术判断。
- 优化模型架构，在大规模下严格平衡延迟、计算成本、系统可靠性和安全性。
- 要胜任高级机器学习岗位，你必须具备：
- 至少5年的机器学习相关经验
- 熟悉Python、PyTorch/JAX、基于GPU的训练和推理系统
- 有构建、部署和维护在真实环境中使用的机器学习系统的实际经验
- 对如何
查看英文原文
Do you thrive on taking complex ML models out of notebooks and building production-grade systems that run at scale?
Are you looking for a high-impact, autonomous role where you directly own core subsystems end-to-end?
Great, then please read on as we have a role for you.
The role is based in Europe.Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.
Our clients engineering culture is focused on delivering high reliability for long-running workflows, maintaining persistent context, and executing real-world tasks flawlessly. By anchoring their products in practical utility and robust architecture, they are successfully minimizing model hallucinations. Ultimately, the goal is to automate personal organization so people can focus their energy on what truly matters.
Key Responsibilities
- Design and build the core machine learning systems driving a proactive, forward-looking AI platform.
- Take complete end-to-end ownership of your projects, from data curation and model training to evaluation, inference, and continuous iteration.
- Translate cutting-edge research concepts into robust, highly reliable systems ready for production environments.
- Leverage live production signals and data to troubleshoot complex model anomalies and system bottlenecks.
- Drive a fast-paced development loop—deploy systems, analyze real-world performance metrics, refine approaches, and repeat swiftly.
- Partner seamlessly with research, engineering, and product teams to ensure technical milestones translate directly into tangible user value.
- Provide hands-on mentorship to fellow engineers, conduct rigorous reviews, and set a high standard for technical judgment through your own execution.
- Optimize model architectures to strictly balance latency, computational cost, system reliability, and safety at massive scale.
To be a good fit for the Senior Machine Learning role, you must have:
- Minimum of 5 years experience in a Machine Learning role
- Experience with Python, PyTorch / JAX, GPU-based training and inference systems
- Demonstrated experience building, deploying, and maintaining machine learning systems actively used in real-world environments.
- Strong practical understanding of how modern ML models behave and fail in live production, alongside the ability to effectively mitigate edge cases.
- Track record of writing clean, robust, production-grade code with an architectural mindset that goes far beyond simple scripting.
- High degree of self-direction and initiative, with a proven ability to independently drive complex technical initiatives from concept to launch.
- Ability to absorb new concepts rapidly, communicate technical trade-offs clearly, and continuously improve code and systems through iterative feedback loops.
Reasons to join:
- Small founding team, building a greenfield AI email product from scratch.
- High‑caliber engineers from top tech companies; very high technical bar.
- Fully remote, global team, strong ownership, and visible impact.
- Very strong reward culture (including significant equity and high comp flexibility
Sounds interesting? Send us your CV by applying to this page
The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: "Information regarding the processing of your personal data". There you will find how your Personal Data is being processed and what your rights are in connection to this.
The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).
Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288
Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.
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Originally posted on Himalayas