Intern - Machine Learning 12 months (m/f/d)

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About the role:
Join the Machine Learning department at Quantum Systems and contribute to autonomy and perception functions for our unmanned vehicles across air, land and sea domains. During this 12-month internship, you will work with experienced engineers on practical machine learning projects—from preparing sensor data, training and evaluating cutting-edge supervised models and improving the workflows on the cloud that bring our functions into real systems. Your project focus will depend on your interests, skills, and the team’s priorities.

What is your Day to Day Mission: Our machine learning pipeline offers different internship areas of expertise including, but not limited to:
Prepare, inspect, and curate datasets from cameras, LiDAR, telemetry, and other sensor sources.

Support the development, training, and evaluation of machine learning and computer vision models.

Help test and improve models for deployment on resource-constrained embedded systems.

Contribute to reproducible training and evaluation workflows, including data and model tracking.

Analyze results, document experiments, and share findings with colleagues across machine learning tasks, hardware, testing, and operations.

Manage and extend our cloud services to automate and accelerate machine learning development.

Develop and integrate AI agents that automate and streamline employee workflows across the development lifecycle.

Improve the reliability, monitoring, security, and cost efficiency of our ML infrastructure.

What you bring to the team:
You are currently studying computer science, artificial intelligence, data science, or a related engineering subject, and are looking for a 12-month internship.
You already have practical experience in machine learning and are interested in applying them to real-world systems.

You can write Python and have used it for coursework, personal projects, or research.

You are curious, analytical, and comfortable learning new tools and working through technical problems with a team.

You communicate confidently in English and are able to explain your work and discuss ideas with colleagues.

It is a plus if you have:

Worked with a deep learning framework such as PyTorch or explored computer vision.

Used Git and Linux, or worked with Docker, Kubernetes, cloud platforms, or GPU-based training.

Handled image, geospatial, LiDAR, or other sensor data, or have an interest in simulation and synthetic data.

Why Quantum-Systems: We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
We are industry pioneers who are ambitious, bold, and visionary.
We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data.
We promise to be your runway for individual and professional growth.

Our benefits:
Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance.
Mobile working: If it gets too turbulent for you in our office, you can get the necessary balance through mobile working.
Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities — and of course, we subsidize the membership.
Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.
Employee events: We not only want to grow together, but also celebrate our successes together.
Lunch-Card: Be powerful with delicious energy, daily lunch budget is sponsored.
Company Shuttle: Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday.

About us: Quantum Systems is a leading European deep-tech company for unmanned systems across air, land and maritime domains. We develop and scale integrated hardware, software and AI-powered solutions for mission-critical operations. By combining autonomous platforms with intelligent software and AI, Quantum Systems enables customers to operate, understand and act across domains.

Our commitment: We are an open-minded company that not only values diversity, but actively promotes it. Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success.
At our company, every voice is heard and every perspective is valued. We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential.

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关于这个职位：
加入Quantum Systems的机器学习部门，为我们的无人车辆在空中、陆地和海洋领域贡献自主和感知功能。在这个为期12个月的实习期间，你将与经验丰富的工程师一起参与实际的机器学习项目，从准备传感器数据、训练和评估前沿的监督模型，到改进将我们的功能带入现实系统的云上工作流程。你的项目重点将取决于你的兴趣、技能和团队的优先事项。

你日常的任务包括：
我们的机器学习管道提供不同的实习专业领域，包括但不限于：
- 准备、检查和整理来自摄像头、激光雷达、遥测和其他传感器来源的数据集。
- 支持机器学习和计算机视觉模型的开发、训练和评估。
- 帮助测试和改进用于资源受限的嵌入式系统的模型。
- 贡献可重复的训练和评估工作流程，包括数据和模型跟踪。
- 分析结果、记录实验并与同事分享机器学习任务、硬件、测试和运营的发现。
- 管理和扩展我们的云服务，以自动化和加速机器学习开发。
- 开发和集成AI代理，以自动化和简化开发生命周期中的员工工作流程。
- 提高我们ML基础设施的可靠性、监控、安全性和成本效率。

你为团队带来的价值：
你目前正在学习计算机科学、人工智能、数据科学或相关工程学科，并正在寻找为期12个月的实习。
你已经拥有机器学习的实践经验，并希望将其应用于现实世界系统。

你能够编写Python，并已将其用于课程作业、个人项目或研究。

你好奇、分析性强，并乐于与团队合作学习新工具和解决技术问题。

你能够自信地用英语沟通，并能向同事解释你的工作和讨论想法。

如果你有以下经验，则更佳：
- 使用过深度学习框架如PyTorch或探索过计算机视觉。
- 使用过Git和Linux，或使用过Docker、Kubernetes、云平台或基于GPU的训练。
- 处理过图像、地理空间、激光雷达或其他传感器数据，或对模拟和合成数据感兴趣。

为什么选择Quantum-Systems：
我们相信团队协作的力量：直接的科技专长与以客户为中心的焦点相结合。
我们是行业先驱，充满雄心、大胆、有远见。
我们挑战极限，跳出思维定势，追求技术卓越，塑造空中数据未来的格局。
我们承诺为你提供个人和职业成长的跑道。

我们的福利：
灵活的工作时间：在基于信任的工作时间内，你不仅负责你的工作时间，还要负责你的工作与生活平衡。
移动工作：如果你在我们的办公室感到过于繁忙，你可以通过移动工作来获得必要的平衡。
保持活跃：通过EGYM Wellpass，你可以获得数千个健身和体育设施的使用权限——当然，我们补贴会员费。
企业福利：你可以获得知名供应商和品牌的有吸引力的优惠和折扣，例如Adidas、Apple、Expedia。
员工活动：我们不仅希望共同成长，还希望共同庆祝我们的成功。
午餐卡：用美味的能量充电，每天的午餐预算由公司赞助。
公司班车：享受我们方便的班车服务，从慕尼黑的Laim接你到我们的地点，并在工作日结束时提供返程。

关于我们：Quantum Systems是一家领先的欧洲深科技公司，专注于空中、陆地和海事领域的无人系统。我们开发和扩展集成的硬件、软件和AI驱动解决方案，用于关键任务操作。通过结合自主平台与智能软件和AI，Quantum Systems使客户能够在各个领域进行操作、理解和采取行动。

我们的承诺：我们是一家开放心态的公司，不仅重视多样性，而且积极推广它。无论性别、年龄、种族、宗教、性取向或残疾，我们都坚信员工的多样性是我们成功的关键部分。在我们的公司，每个声音都被听到，每个观点都被重视。我们相信我们的差异使我们更加丰富，帮助我们找到创造性的解决方案并产生创新的想法。我们自豪地创造了一个包容的工作环境，让所有员工都能充分发挥自己的潜力。

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