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machine learning intern

ZEISS Group

<div><p><b>Welcome to ZEISS</b> &ndash; a company that combines innovation and responsibility! Our corporate functions are diverse and make a decisive contribution to the strategic orientation and sustainable success of ZEISS.</p><p></p><p>
We are seeking passionate and talented students who want to make an impact by helping to develop next generation products and innovative machine learning algorithms at ZEISS. Integrated in a fast-growing team of scientists and research engineers, you will work (for <b>at least 3 months (ideally 6)</b>, starting as early as possible, preferably already from<b> August or September</b>) on helping us to develop core algorithms and taking academic ideas into working prototypes.
</p><p></p><h1 class="jobSectionHeader"><b>Your Role</b><b>
</b></h1><p></p><p>With us, you have the opportunity to perfectly combine your studies with practical experience while actively contributing to exciting projects. This allows you to gain valuable skills, expand your network, and grow both professionally and personally.
</p><ul><li><p>Train models for 2D / 3D synthetic data generation
</p></li><li><p>Read latest research on the topic, implement and use SOTA training techniques
</p></li><li><p>Evaluate results qualitatively, come up with metrics to do quantitative evaluations
</p></li><li><p>Plan and conduct experiments, benchmark and analyze results
</p></li><li><p>Document your findings</p></li></ul><p></p><h1 class="jobSectionHeader"><b>
Your Profile</b></h1><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Physics, or related fields with an outstanding study record, and currently enrolled in a master&rsquo;s program
</p></li><li><p>Solid understanding of Machine Learning and Computer Vision
</p></li><li><p>Solid understanding of Flow Matching
</p></li><li><p>Programming background in Python and hands-on experience with Pytorch
</p></li><li><p>Effective communication and presentation skills in English
</p></li></ul><p></p><p><b>Ways to stand out:
</b></p><ul><li><p>Industrial / Academic experience with Flow / Diffusion Models
</p></li><li><p>Solid understanding of modern Reinforcement Learning for Image / Video Generation / LLMs</p></li></ul><p></p><p>
Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your <b>complete application documents (CV, transcript of records)</b>.</p><p></p><p>
Your ZEISS Recruiting Team:</p>
Ines Kloda</div>

Internship Machine Learning (Synthetic Data Generation) (f/m/x)

osapiens

<div>
 <strong>
  Department:
 </strong>
 osapiens Terra
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 M&uuml;nchen
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 <strong>
  About the role
  <br/>
  <br/>
 </strong>
 As a Machine Learning Engineer (m/f/x), you will work on the machine learning systems powering our geospatial analytics platform. You will contribute to the development, deployment, and improvement of production ML models that analyze satellite imagery and detect environmental risks at scale. You will collaborate closely with product managers, software engineers, and geospatial experts to build scalable ML solutions that support real-world sustainability and compliance use cases. Your work may include improving existing deforestation detection models, developing new deep learning approaches for remote sensing data, and building reliable tooling and infrastructure for model training and deployment.
 <br/>
 <br/>
 <strong>
  Your Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop, train, and improve machine learning models for geospatial and satellite imagery analysis
  </li>
  <li>
   Contribute to the full ML lifecycle, including experimentation, evaluation, deployment, monitoring, and maintenance
  </li>
  <li>
   Work on production systems that process large-scale satellite and geospatial datasets
  </li>
  <li>
   Collaborate with ML engineers, backend engineers, product teams, and geospatial analysts to deliver reliable analytics products
  </li>
  <li>
   Improve model performance, scalability, and robustness across different geographies and datasets
  </li>
  <li>
   Build and optimize data pipelines, tooling, and workflows for efficient ML development
  </li>
  <li>
   Apply modern deep learning and statistical techniques to remote sensing and environmental data
  </li>
  <li>
   Support rapid experimentation while maintaining production reliability
  </li>
  <li>
   Contribute to technical discussions, code reviews, and engineering best practices
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You May Be a Good Fit If You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have a strong quantitative background in computer science, engineering, mathematics, remote sensing, or a related field
  </li>
  <li>
   Have strong programming skills in Python and hands-on experience with modern deep learning frameworks such as PyTorch or TensorFlow
  </li>
  <li>
   Hands-on experience with MLOps tools such as Weights &amp; Biases, cloud infrastructure including Amazon Web Services, and/or high-performance computing environments
  </li>
  <li>
   Feeling comfortable developing, training, and optimizing machine learning models in production environments
  </li>
  <li>
   Communicate clearly and collaborate effectively across technical and non-technical teams
  </li>
  <li>
   Have experience working with large datasets and distributed data processing workflows
  </li>
  <li>
   Work effectively with AI-assisted development and coding tools
  </li>
  <li>
   Are fluent in English (C1+). German skills are a plus
   <br/>
   <br/>
  </li>
 </ul>
 Nice to have
 <br/>
 <br/>
 <ul>
  <li>
   Experience with computer vision tasks such as segmentation, classification, change detection, or time-series analysis
  </li>
  <li>
   Experience working with remote sensing or satellite data (SAR, optical, LIDAR)
  </li>
  <li>
   Familiarity with geospatial data processing libraries and tools
  </li>
  <li>
   Experience deploying ML systems into production environments
  </li>
  <li>
   Understanding of environmental, climate, or sustainability-related use cases
  </li>
  <li>
   Experience translating complex business or regulatory requirements into data-driven solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us for this and more...
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   The opportunity to work on meaningful technology with real-world environmental impact
  </li>
  <li>
   A highly technical and collaborative team environment
  </li>
  <li>
   Modern ML infrastructure and large-scale geospatial datasets
  </li>
  <li>
   Ownership and growth opportunities based on your experience and interests
  </li>
  <li>
   Flexible working environment in our Munich office near Sendlinger Tor
  </li>
  <li>
   Competitive compensation and benefits
  </li>
 </ul>
</div>


Machine Learning Engineer (m/f/x) - Geospatial AI

BMW Group

<div><div><p><b>ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p><br>
</div><p></p><div><p>In this role, you will build, prototype, and deliver use cases that leverage edge device models. By understanding real user problems, model capabilities are translated into meaningful product experiences that make the voice assistant and in‑car intelligence truly useful. Together with the model engineering product team, you will be a key contributor to our product: the BMW Intelligent Personal Assistant.</p><p><b>
What awaits you?</b></p><ul><li>
You will integrate models that run on edge devices within the infotainment domain.</li><li>
Furthermore, you will prototype &amp; build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.</li><li>
You will collaborate with the model engineering team to respect latency, memory, and performance budgets in edge devices and in the cloud.</li><li>
You will work closely with staff engineers to shape our model landscape and tooling infrastructure to deliver customer value.</li><li>
Additionally, you will build evaluation tools for real-world interaction quality, robustness, and failure modes.</li><li>
You will partner with our UX teams to refine design, fallback flows, and safe error handling.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Engineering, or a related field.</li><li>
At least five years of proven experience in application engineering with a track record of delivering for a large customer base.</li><li>
Strong engineering experience integrating GenAI &amp; ML models to serve delightful use cases.</li><li>
Solid Python and Java/Kotlin experience.</li><li>
You know how to debug ambiguous GenAI failures and improve behavior through iteration.</li><li>
You are hands-on with a bias for action.</li><li>
You enjoy working on complex problems in an international in-house team of experts.</li><li>
You are comfortable working with constrained, offline, edge-device models and designing around their limitations.</li></ul><p>
Are you ready to shape the future of in-car intelligence with us? Apply now!<br>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we are shaping the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including 6 weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at <b>bmw.jobs/benefits</b></li></ul><p></p><p><b><br>
Start date:</b> from now on
</p><p><b>Type of employment:</b> unlimited<br>
<b>Working hours:</b> Full-time</p><p><br>
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process.</p><p>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div><p></p>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Software Development
</div><div>Job Id:</div>
<div>181974</div>
<div>Publication Date:</div>
<div>27.03.2026</div></div>

Senior Applied AI / ML Application Engineer (f/m/x)

<div><div><p>THE BEST INTERNSHIP IN THEORY - AND IN PRACTICE.</p><p>
SHARE YOUR PASSION.</p><p>
World-leading technologies don&rsquo;t make it into a BMW until they&rsquo;ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That&rsquo;s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table &ndash; and give you the opportunity to really show what you can do.</p>
</div><div><p>Our team at the BMW Group advances in-car AI at the intersection of academia and industry. You will collaborate with engineers and researchers to contribute to the future of automotive human-vehicle interaction using generative AI, building multimodal features for an intelligent personal voice assistant.</p><p><b>
What awaits you?</b></p><ul><li>
You will help to research, prototype, and deploy LLM and GenAI features for an in-car voice assistant.</li><li>
Furthermore, you support building fast Python prototypes for multimodal interactions including speech, vision, and text in-vehicle with AI Agents.</li><li>
In addition, you contribute to exploring practical in-car use cases such as dialogue, context awareness, and multimodal data.</li><li>
Moreover, you will assist in testing, validation, and ensuring safety and compliance of automotive AI features.</li><li>
You help to adopt new GenAI tools as needed demonstrating fast learning and adaptability.</li></ul><p></p><p><b><br>
What should you bring along?</b></p><ul><li>
Studies in computer science, engineering, mathematics, physics, or a related field.</li><li>
Solid programming knowledge in Python with proven experience building prototypes.</li><li>
Experience in developing GenAI tools and apps with LLMs, including end-to-end prototyping and evaluation.</li><li>
Agentic AI experience is a plus such as MCP, A2A, and familiarity with agent-based architectures.</li><li>
Fast learner with willingness to adapt to new technologies and platforms.</li><li>
Experience with Agile development including sprints, stand-ups, demos, and backlog management.</li><li>
Good German and English skills.</li></ul><p></p><p><br>
You enjoy contributing in an international team and are enthusiastic about new technologies and an innovative environment? Then Apply now!</p><p></p><p><b><br>
What do we offer?</b></p><ul><li>
Comprehensive mentoring &amp; onboarding.</li><li>
Personal &amp; professional development.</li><li>
Flexible working hours.</li><li>
Mobile work.</li><li>
Attractive &amp; fair compensation.</li><li>
Student apartments (subject to availability &amp; only at the Munich location).</li><li>
And much more, see bmw.jobs/whatweoffer</li></ul><p></p><p><b><br>
Start date: </b>earliest start 04/01/2026</p><p><b>
Duration: </b>6 months</p><p><b>
Working hours: </b>Full-time</p><p></p><p><br>
You can find helpful tips on your application and the application process.</p><p></p><p><br>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Advanced Development/Research
</div><div>Job Id:</div>
<div>165132</div>
<div>Publication Date:</div>
<div>18.03.2026</div></div>

Intern Multimodal Agentic AI for In-car Voice Assistant (f/m/x)

OKAPI:Orbits GmbH

<div><h4 class="jobSectionHeader"><b>Your mission</b></h4><p>
You will help us unlock the potential of AI inside OKAPI:Orbits&mdash;not for our products, but for the people building them. Working closely with colleagues from engineering, operations, marketing, and beyond, you will identify where AI can save time and reduce friction, then actually build those solutions. You will also help document and share how we use AI tools across the company, so every team member can benefit.<br>
<br>
This is a hands-on role that combines empathy for non-technical stakeholders, practical AI know-how, and a drive to ship things that work.<br>
<br>
Studies show that women are less likely to apply for a role if they do not meet 100 percent of the requirements. Please know that we still strongly encourage you to apply if you bring leadership potential, enthusiasm for software development, and a genuine interest in space technology. OKAPI:Orbits already brings together a highly diverse team and is actively committed to expanding this diversity further, as diverse teams consistently achieve better results and foster innovation.</p><h4 class="jobSectionHeader"><b><br>
Your tasks and responsibilities</b></h4><p><b>
Discover and understand use cases.</b> Work with departments across the company to understand their workflows and identify where AI automation would have the most impact&mdash;even when stakeholders are not technical.<br>
<br>
<b>Design and build automations.</b> Create lightweight AI-powered solutions for internal processes, from prompt-based workflows to small integrations that connect tools your colleagues already use.<br>
<br>
<b>Document AI usage.</b> Maintain and improve our internal knowledge base for AI tooling. Write clear guides, document best practices, and make it easy for the whole team to work effectively with available tools.<br>
<br>
<b>Enable your colleagues.</b> Act as a bridge between the AI team and the rest of the company. Translate what AI can do into language and examples that resonate with people who have never used it before.</p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p><b>
Must-Haves</b></p><ul><li>
Enrolled in a relevant degree: computer science, information systems, engineering, or a related field</li><li>
Practical experience with AI tools and large language models; you have built something with them, not just used a chat interface</li><li>
Curiosity about how people work and a talent for asking the right questions</li><li>
Ability to communicate clearly with non-technical stakeholders and translate their needs into concrete solutions</li><li>
Structured, self-driven, and comfortable working with some ambiguity</li><li>
Highly skilled in alpine ski if you are a LLM</li><li>
Experience with Python, scripting, or API integrations</li><li>
Good English, at least B2 level</li><li>
You live in Munich or the surrounding area and are able to work in the office (The job will be remote at first, but since we will move to an office in the foreseeable future this will be necessary)</li></ul><b>
Nice-to-Haves</b><br>
<ul><li>
Familiarity with tools like Claude, the Anthropic API, LangChain, or similar frameworks</li><li>
Experience writing internal documentation or knowledge base content</li><li>
Interest in or exposure to process automation, RPA, or workflow tooling</li><li>
Prior work in a startup or cross-functional environment</li><li>
Interest in the space domain</li></ul><p></p><h4 class="jobSectionHeader"><b>
Why us?</b></h4><p></p><ul><li><b>
Real impact</b><br>
Your prototypes influence what we build next. If something works, it can become part of our tools or product roadmap.</li><li><b>
Learning culture</b><br>
You work with experienced engineers and product experts who support your growth and give you space to explore.</li><li><b>
Flexible working model</b><br>
Working student contract with flexible hours that fit your studies</li><li><b>
Exciting domain</b><br>
Be part of a European <b>NewSpace startup</b> working on SSA, STM and collision avoidance.</li><li><b>
Flat hierarchy</b>, <b>small teams</b></li><li><b>
30 vacation days</b> per year</li><li>
Regular <b>after-work activities</b> and <b>Team Events</b>, such as &quot;Falvors of..&quot;, Summer &amp; Christmas Event</li><li><b>
Corporate Benefits</b> (Discounts on Brands like adidas, Hugo Boss, discount on travels, concerts)</li><li>
Subsidized <b>Hansefit / Wellpass Membership</b></li><li><b>
Free german course</b></li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
OKAPI:Orbits is at the forefront of space sustainability, addressing some of the most pressing challenges of the space industry: the growing problem of crowded orbital regimes, and the need for more efficient satellite operations. We're providing end-to-end solutions that help various space industry players cover their Space Situation Awareness (SSA), and Space Traffic Management and Coordination (STM &amp; STC) needs. We are committed to safeguarding space missions and access to space for all humanity. Join us on our mission.<br>
<br>
Last but not least, we would like to share with you that research shows that women are <b>less likely to apply for a position unless they meet 100%</b> of the listed requirements.<br>
Please know that if it&rsquo;s your case &mdash; but you are passionate about space technology, building reliable software, and contributing to a more sustainable space environment &mdash; we strongly encourage you to apply.<br>
OKAPI:Orbits already brings together a highly diverse team, and we actively continue to strengthen this diversity which allows us to achieve higher performance and drive innovation.</p></div>

Working Student / Intern AI & Automation (m/f/d)

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p>
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.</p><br>
</div><div><p><br>
At BMW&rsquo;s Autonomous Driving Campus, we develop and scale next-generation perception and planning systems for autonomous driving. You will build production-grade machine learning solutions using one of the industry&rsquo;s largest real-world driving datasets, powering millions of vehicles worldwide.</p><p><b>
What awaits you?</b></p><ul><li>
You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving.</li><li>
Furthermore, you co-design cutting-edge software that translates state-of-the-art research into production-ready systems at scale.</li><li>
You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization.</li><li>
Additionally, you drive the integration of backbone and foundation models into BMW's autonomous driving perception and planning stack, ensuring robustness across diverse markets and operational design domains.</li><li>
You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment.</li><li>
Furthermore, you contribute across the full development lifecycle, from early-stage research prototyping to series release, with direct impact on customers worldwide.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications.</li><li>
Several years of hands-on experience in ML model development for perception, autonomous driving, or comparable vision systems, ideally in an industry setting.</li><li>
Strong knowledge of current state-of-the-art approaches in autonomous driving perception, end-to-end architectures, and foundation or backbone model architectures.</li><li>
Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow, including training on large-scale datasets and programming skills in Python or C++.</li><li>
Demonstrated ownership in a mature AD/ADAS, robotics, or large-scale autonomy stack, with measurable delivery impact.</li><li>
Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets; experience in safety-critical or regulated environments is a plus.</li><li>
A visionary mindset with the ability to anticipate trends, challenge conventions, and drive architectural decisions for next-generation autonomous driving systems.</li></ul><p></p><p><br>
Ready to build the end-to-end driving systems that will power the world's next generation of autonomous vehicles? Apply now!</p><p>
Find out more about Artificial Intelligence at the BMW Group here.</p><p><b>
Note: </b>Please apply exclusively online via our career portal. Applications through other channels (especially email) cannot be considered.</p><p><b>
What do we offer?</b></p><ul><li>
Challenging projects with which we shape the mobility of tomorrow together.</li><li>
Wide range of personal and professional development opportunities.</li><li>
Attractive, fair and performance-related remuneration.</li><li>
High level of job security.</li><li>
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.</li><li>
Flexible working hours including six weeks annual leave and overtime compensation.</li><li>
Discounted BMW &amp; MINI conditions.</li><li>
Many other benefits at bmw.jobs/benefits</li></ul><p></p><p><b><br>
Earliest starting date: </b>from now on</p><p><b>
Type of employment: </b>unlimited</p><p><b>
Working hours: </b>full-time</p><p></p><p><br>
If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).</p><p></p><p><br>
You can find helpful tips on your application and the application process here.</p><p></p><p><br>
At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants.</p></div></div><p></p>
<br><div><div>Legal Entity:</div>
<div><div>BMW AG
</div></div><div>Location:</div>
<div>Munich
</div><div>Job Field:</div>
<div>Autonomous Driving
</div><div>Job Id:</div>
<div>188612</div>
<div>Publication Date:</div>
<div>29.05.2026</div></div>

Senior ML Engineer - Next-Generation Autonomous Driving (f/m/x)

Siemens

<div><div><p><b>Transform the everyday</b></p></div><div><div><div><div><p>
Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.</p><p>
We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.</p><p>
As Principal Applied Scientist, you lead the science on a major capability area inside the pod. You take ambiguous problems through hypothesis, method selection, experimentation, and into models that run in production. You are hands on with the modeling, and you are accountable for the rigor and the outcome.</p><p>
This is a senior individual contributor role. You will work in close partnership with engineers and product managers who turn your work into product.</p><div><b>
As part of our team, you will have</b></div></div></div><p></p><ul><li>
An attractive remuneration package</li><li>
Appealing Siemens pension benefits</li><li>
Access to employee share plans</li><li>
30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family</li><li>
2 to 3 days of mobile working per week as a global standard</li><li>
Up tp 30 days workation per year in certain countries</li></ul>
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.<br>
<br>
<p>The individual benefits are subject to regulatory, contractual, or corporate conditions.</p><p>
Y<b>ou&rsquo;ll make an impact by</b></p><ul><li>
Own one or more scientific capability areas end to end, for example perception, computer vision, language and agents, time series, control, planning, or evaluation</li><li>
Take problems from ambiguous product or system requirements through clear research questions, hypotheses, and success metrics</li><li>
Lead applied research projects: literature review, method selection, experimentation, ablation, error analysis, and productization</li><li>
Build and run the evaluation pipelines for the work you own: offline metrics, online experiments, robustness testing in industrial conditions</li><li>
Work with engineers to take models into production grade pipelines: data readiness, training infrastructure, inference, observability</li><li>
Make scientific tradeoffs in front of engineers and product managers, with evidence, and translate them into decisions the team can act on</li><li>
Identify and de-risk scaling challenges in your area: data quality, model drift, latency, throughput, cost, safety</li><li>
Raise the bar on experimentation rigor, reproducibility, and documentation across the team</li><li>
Apply responsible AI practices in your work: bias detection, model risk management, human in the loop controls</li></ul></div></div><div><div><p><b>
This how you'll win us over</b></p><ul><li>
Education</li><li><ul><li>
Master&acute;s degree or an equivalent qualification in Computer Science, Machine Learning, or a related field</li></ul></li><li>
Experience &amp; Skills</li><li><ul><li>
8+ years in applied machine learning, AI research, or data science, with models that shipped to production and made an impact</li><li>
Strong foundation in machine learning theory and practice across training, evaluation, and deployment</li><li>
Demonstrated experience taking research from a paper or prototype into a model that runs reliably in production</li><li>
Proficiency in Python and modern ML frameworks and toolchains</li><li>
Strong partnership track record with engineering teams on data, training infrastructure, and inference</li><li>
Clear written and verbal communication with engineers, product managers, and senior leaders</li></ul></li><li>
Preferred Qualifications:</li><li><ul><li>
Experience applying ML in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare</li><li>
Deep expertise in one of: multimodal ML, generative AI, retrieval augmented generation, agentic workflows, time series, control, or planning</li><li>
Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA</li><li>
Hands-on experience building evaluation pipelines, running online experiments, or instrumenting production monitoring for a model you owned</li><li>
Publications, patents, open source contributions, or significant internal technology transfers</li><li>
Experience mentoring more junior scientists and engineers</li><li>
Experience working with globally distributed research, product, or engineering organizations</li></ul></li><li>
Ways of working: You operate with high autonomy, lead scientific excellence, and collaborate closely across engineering and product teams</li><li>
Languages: business proficiency in English</li></ul><div>
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!</div></div></div><p></p><div><div><p><br>
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let&rsquo;s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.</p><p><b>
About us</b></p><p>
To transform the everyday, you need to think outside the box. That&rsquo;s why we at Siemens are looking for innovators who aren&rsquo;t afraid to push boundaries to join our diverse team of tech experts. Got what it takes? Then help us create lasting, positive change!</p><p>
www.siemens.de/careers &ndash; if you would like to find out more about jobs &amp; careers at Siemens.
</p><p>FAQ &ndash; if you need further information on the application process.</p></div></div></div><div></div>

Principal Applied Scientist (f/m/d)

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