member of technical staff, product (ai agents)

(junior) cloud site reliability engineer (network) (m/f/x)

(senior) engineer, software ivv test & integration, iris2

(senior) fullstack engineer (typescript) - client success platform (m/f/x)

ai engineer (m/w/d)

ai software engineer (f/m/d) Jobs in Munich

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machine learning engineer

AutoBrains Technologies

<div><p>We want to bring on an engineer for the planner stack. This is an engineering role at heart, developing the logic that triggers/executes various driving maneuvers.</p><p>
But it's not a pure desk job. Because we release new software fast and have cars driving around town every day, this person will also stay close to the testing side: seeing their code run on the real car, helping keep an eye on our daily test drives, and being aware of what new code is being released across the company. Monitor improvements and degradation.</p><p>
We're looking for a sharp, early-career engineer who's excited about robotics and autonomous driving. Someone who's curious, self-driven, and eager to get hands-on with real autonomy challenges. If you enjoy solving tough technical problems, learning fast, and making an impact in a startup environment, we'd love to hear from you.</p><br>
Requirements:
<br>
<ul><li><b>Master's degree in engineering or a STEM field (e.g. electrical engineering, deep learning / ML, robotics, or similar)</b></li><li>
Experience in robotics, autonomous driving, or control engineering</li><li>
Experience with Machine Learning</li><li>
Coding</li><li>
Experience with Linux</li><li>
Curious, self-driven, good communicator</li><li>
Driver's license (occasional test drives)</li></ul><p><b>
Bonus</b></p><ul><li><b>
Experience with Docker</b></li><li>
Experience with ROS</li></ul><br>
Responsibilities:
<br>
<ul><li>Develop and improve the planner stack (the software that decides how the car moves)</li><li>
Keep aware of what new software is being released across the company</li><li>
Stay close to our daily test drives, monitor improvements/degradation</li><li>
Join test drives</li></ul></div>

Planner Stack Engineer

NEURA Robotics

<div><h3 class="jobSectionHeader"><b>Your mission &amp; challenges</b></h3><ul><li><p>
Build, lead, and develop a high-performing team of Robotic Foundation Model Application Engineers, supporting both their technical growth and day-to-day execution</p></li><li><p>
Act as the technical lead and escalation point for NeuraGym users, evaluating feasibility, selecting appropriate algorithms, and defining data collection strategies</p></li><li><p>
Own and drive the onboarding process for NeuraGym users across the full pipeline, including teleoperation, annotation, training, simulation, deployment, and validation</p></li><li><p>
Partner closely with on-site Robotics Engineers during data collection and experiments to ensure correct robot behavior, safety standards, and experimental quality</p></li><li><p>
Take a hands-on role when technical blockers arise, including reviewing training code, diagnosing data issues, and reproducing model failures</p></li><li><p>
Act as the primary interface to Cloud and AI teams, enabling smooth cross-functional alignment and collaboration</p></li><li><p>
Consolidate insights across projects and translate them into improvements for both the NeuraGym product roadmap and the core Neura AI roadmap</p></li><li><p>
Define, monitor, and iterate on key team metrics such as skill success rate, time-to-validated-skill, and data efficiency</p></li></ul><h3 class="jobSectionHeader"><b>
What we can look forward to</b></h3><ul><li><p>
Master&rsquo;s or PhD in Computer Science, Robotics, Electrical Engineering, or a related field</p></li><li><p>
5+ years of hands-on machine learning experience in robotics, with strong expertise in at least two areas such as vision-based manipulation, reinforcement/imitation learning, or multimodal foundation models</p></li><li><p>
At least 2+ years of experience in people management or formal technical leadership (e.g., tech lead, staff engineer, or team lead with direct reports)</p></li><li><p>
Strong Python skills (C++ is a plus), with practical experience in PyTorch or TensorFlow</p></li><li><p>
Comfortable working directly with real robot hardware and associated middleware</p></li><li><p>
Experience with cloud platforms (AWS, Azure, or GCP) and robotic simulation tools (e.g., IsaacSim, MuJoCo) is a plus</p></li><li><p>
Proven track record of delivering complex, multi-month robotics projects with measurable outcomes</p></li><li><p>
Strong communicator with the ability to bridge researchers, engineers, and end-users; proficient in English and German (B2&ndash;C1)</p></li></ul></div><div></div>

Teamlead AI Engineering - RoboGym (human)

THE MARCOM ENGINE

<div><p>We are looking for a Data Scientist (all genders) to join THE MARCOM ENGINE (part of the Serviceplan Group) in Munich at the earliest possible start date in full-time.
<br>
<br>
In this role, you&rsquo;ll be part of a multidisciplinary team bridging data science, strategy, and automation and contribute to exciting projects at the forefront of digital transformation, working on innovative consumer insights initiatives and personalization measures for globally recognized brands.
</p><b>What you can expect:</b>
<ul><li>Develop and implement machine learning models and algorithms
</li><li>Conduct data analysis to identify patterns, trends and insights
</li><li>Participate in projects related to data and processing for AI Agents
</li><li>Work closely with internal and client stakeholders to formulate data-driven solutions
</li><li>Validate models and interpret results by performing statistical analysis and hypotheses
</li><li>Stay updated with the latest developments and best practices in data analytics and data science
</li><li>Ensure maintenance of data science model and process documentation
</li><li>Apply machine learning and automation to scale analyses and accelerate insights
</li><li>Create advanced analytical models that demonstrate how marketing contributes to business growth&mdash;from media effectiveness to customer lifetime value
</li><li>Work in a multidisciplinary team across data science, strategy, and automation to advance data-driven marketing measurement and optimization
</li></ul><b>What we expect from you:</b>
<ul><li>A completed degree in a quantitative, analytical, or business-related field (e.g. Data Science, Statistics, Mathematics, Computer Science, Business Informatics) or a comparable qualification
</li><li>Several years of experience as a Data Scientist or Marketing Analyst, ideally with a strong focus on statistical modeling and marketing analytics, preferably in an agency or dynamic environment
</li><li>Excellent Python skills and experience with relevant libraries
</li><li>Excellent knowledge in handling data queries and confidence handling different data types (SQL, Redshift, PostgreSQL)
</li><li>Experience applying machine learning and automation to accelerate analytical workflows
</li><li>Familiarity with cloud environments such as GCP, AWS, or Azure, as well as visualization tools like Quicksight, Tableau, Power BI, or Looker
</li><li>Ability to translate complex statistical findings into clear, strategic insights
</li><li>Experience with Digital Analytics platforms or Marketing campaign data
</li><li>Excellent communication skills in English and German
</li><li>Curiosity, initiative, and a collaborative mindset
</li><li>Knowledge of information security and awareness of information security principles
</li></ul><b>What we offer:</b>
<ul><li><b>Onboarding: </b>Welcome round, digital onboarding day, newcomer coffee and newcomer round - we'll make sure your start is perfect continuing.</li><li><b>
Education: </b>Your development is important to us. Whether through our internal campus training program, voluntary language courses or regular coaching - we keep you up to date!</li><li><b>
Flexibility</b>: Flexible working hours, mobile office and job sharing models allow you to adapt your job to your life - and not the other way around.</li><li><b>
Fun: </b>If you work, you also have to take a break. Whether it's partying or working out - with us, you'll have plenty of opportunities thanks to regular after-work events and agency-sponsored fitness programs.</li><li><b>
Location: </b>Our modern office in Munich&rsquo;s creative district is easy to reach thanks to its convenient location.</li><li><b>
Internationality:</b> As an internationally operating agency group, we offer you the opportunity to network and exchange ideas with colleagues from different disciplines all over the world.</li></ul></div>

Data Scientist (all genders)

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)

BMW Group

<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)

<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>We are an international team of experts shaping the future of intelligent mobility by developing privacy-first data and model solutions for BMW&rsquo;s next-generation edge AI products. Together, we enable fast iteration and innovation for the BMW Intelligent Personal Assistant.</p><p><b>
What awaits you?</b></p><ul><li>
You design data pipelines for ingestion, curation, pseudonymization, and versioning.</li><li>
Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.</li><li>
You set up experiment tracking and artifact registries for model variants.</li><li>
Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.</li><li>
You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.</li><li>
You build and operate the data pipelines and provide self-serve tools for the team.</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>
Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.</li><li>
Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.</li><li>
Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.</li><li>
Motivation to embrace customer problems and find innovative solutions using available technologies.</li><li>
You enjoy working on complex problems in an international in-house team of experts.</li><li>
Professional English proficiency; German is a plus.</li></ul><p>
Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? 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 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></p><p><br>
If you apply, the next stages of the recruiting process include online testing and then technical interviews 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>
<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>182180</div>
<div>Publication Date:</div>
<div>27.03.2026</div></div>

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

AutoScout24

<div><div><div><div><div><div><div><div><div><p>A career driven by you. Join <b>AutoScout24 Group</b> and experience life in the fast lane. We're not just leading the market; we're creating it. We're constantly innovating, evolving and transforming things for our customers. We're driven, ambitious and determined to do our best work, together. For a career that doesn't stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.</p>
<p>
As <b>Senior Data Scientist</b>, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.</p>
<p>
You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Munich.</p>
<p><b>
What </b><b>you'll</b><b> do</b></p>
<ul>
<li>Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement</li>
</ul><ul><li>Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability</li>
</ul><ul><li>Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes</li>
</ul><ul><li>Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints</li>
</ul><ul><li>Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems</li>
</ul>
<p><b>What </b><b>you'll</b><b> need</b></p>
<ul>
<li>Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field</li>
</ul><ul><li>5+ years of experience building and owning production ML systems end-to-end in a real-world environment</li>
</ul><ul><li>Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production</li>
</ul><ul><li>Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale</li>
</ul><ul><li>Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations</li>
</ul><ul><li>Ability to influence technical decisions through clear judgment and collaboration, not formal authority</li>
</ul><ul><li>Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback</li>
</ul><ul><li>Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery</li>
</ul>
<p><b>WHY Autoscout24</b></p>
<p><b>
A culture of growth. </b>With over 50 nationalities represented, we're proud to welcome people of all backgrounds to our growing community, and we're always finding new ways to help people feel welcomed and included. Here, you'll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.</p>
<p><b>
For a career where you can drive our business and shape your future, apply now.</b></p></div></div></div></div></div></div></div></div></div>

Senior Data Scientist (m/f/d)

Explore 80+ Machine learning engineer in Munich this July. Find roles across top companies and apply now to boost your career.