data scientist

THE MARCOM ENGINE

<div>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.
 
 
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.
What you can expect:
<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>What we expect from you:
<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>What we offer:
<ul><li>Onboarding: Welcome round, digital onboarding day, newcomer coffee and newcomer round - we'll make sure your start is perfect continuing.</li><li>
Education: 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>
Flexibility: 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>
Fun: 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>
Location: Our modern office in Munich&rsquo;s creative district is easy to reach thanks to its convenient location.</li><li>
Internationality: 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)

osapiens

<div><h3 class="jobSectionHeader">Description</h3><div> 
This 4-6 months internship position is part of osapiens Terra, a specialized team in Munich integrating remote sensing data and artificial intelligence algorithms in sustainability software solutions. We build enterprise software for deforestation free supply chains. Our SaaS solution ensures compliance with the EU Deforestation Regulation (EUDR) which affects thousands of European companies and their suppliers. For this, we track the supply chain end-to-end, from farmer to retailer, while leveraging satellite data and AI to detect deforestation. 
 
Our algorithm combines several methods, from deep learning, to custom ML algorithms, and basic statistics. We carefully engineer our methodology to ensure generalization across geographies, robustness, and explainability.</div><h3 class="jobSectionHeader"> 
Your Responsibilities</h3><div> 
We are looking for a Machine Learning Engineer to improve our algorithms, scale our architecture and optimize a production ML pipeline. You will... 
</div><ul><li>Design and implement geospatial analytics using state-of-the-art deep learning techniques and statistics</li>
<li>Research cutting-edge methods from Computer Vision and Artificial Intelligence and apply them to remote sensing</li>
<li>Engineer and operationalize prototype-stage methods to full-blown enterprise-grade production systems</li>
<li>optimize and scale data and analytics pipelines</li>
<li>Analyze, interpret, and monitor performance from production data analytics pipelines</li></ul> 
<h3 class="jobSectionHeader">
Your Experience</h3> 
<ul>
<li>
Current studies in engineering, mathematics, computer science or similar.</li>
<li>Programming skills in Python and proficiency with typical data engineering and deep learning frameworks, as well as familiarity with GIT and unix-based systems.</li>
<li>Track record of solving quantitative problems with algorithms and data</li>
<li>Experience in working with geospatial data (e.g., multi-spectral satellite imagery, geojsons, tif formats, etc.) is a plus</li></ul><div></div><h3 class="jobSectionHeader"> 
Join us for this and more...</h3> 
<ul>
<li>
A purpose-driven mission tackling complex sustainability challenges while working alongside global industry pioneers at a fast-growing unicorn company
</li><li>A high-impact internship with responsibility from day one and direct collaboration with experienced leaders.</li>
<li>Hands-on project ownership and the chance to design processes that scale across our global customer base.</li>
<li>A modern Munich office with flexible hybrid work options, open team culture, and flat hierarchies.</li>
<li>Regular team events and knowledge-sharing sessions.</li>
<li>And of course &ndash; free drinks and snacks to keep you energized during your day.</li></ul><div></div><h3 class="jobSectionHeader"> 
About osapiens</h3><div>
osapiens develops holistic Software-as-a-Service solutions that help global companies ensure transparency, efficiency, and trust across their entire value chain. Through its cloud platform, the osapiens HUB, the company leverages innovative technologies, including artificial intelligence, to strengthen businesses while promoting human rights, ecological responsibility, and sustainable corporate governance. 
</div><div>Founded in 2018 and headquartered in Mannheim, Germany, osapiens works with around 2,500 companies in over 50 countries across industries such as consumer goods, automotive, fashion, pharmaceuticals, and medical products. The company is backed by Goldman Sachs and Decarbonization Partners, reinforcing its commitment to responsible, sustainable growth and has reached unicorn status in January 2026.</div></div>

Internship: Machine Learning (m/f/x)

driveblocks

<div><h4 class="jobSectionHeader">Your Role</h4>
As an Expert Perception Data Engineer you scale the data workflows that power the next-generation of off-road autonomy systems. You own the full data lifecycle from ingestion and curation to automated scenario mining, dataset generation, embeddings-based retrieval, and validation workflows. 
 
In this hands-on engineering role, your designs and implementations have a critical impact on enabling the robust and safe performance of our software in challenging off-road conditions. Your main tasks are: 
<ul><li>
Designing and scaling large-scale perception data pipelines for terabytes of incoming multimodal sensor data.</li><li>
Developing automated dataset curation and scenario mining systems for edge cases and safety-critical situations.</li><li>
Building embeddings-based retrieval and semantic search pipelines for perception data selection and analysis.</li><li>
Maintain tooling for dataset versioning, metadata management, annotation orchestration, and quality assurance to meet certification requirements.</li><li>
Improving infrastructure for high-throughput data processing, cloud-native workflows, and distributed compute pipelines.</li><li>
Driving automation around data operations, labeling processes, and deployment feedback loops from field operations.</li></ul><h4 class="jobSectionHeader">
Your Background</h4><ul><li>
6+ years of professional experience building large-scale data processing systems for machine learning or robotics applications</li><li>
Strong software engineering skills in Python and/or C++</li><li>
Experience working with multimodal sensor data such as camera, lidar, and radar</li><li>
Familiarity with dataset management tooling, embeddings, vector databases, semantic retrieval, and similarity search systems</li><li>
Strong ownership mindset and the ability to work independently in a fast-moving engineering environment</li><li>
Strong communication skills and the ability to explain complex technical topics clearly across engineering and customer-facing teams</li><li>
Degree in computer science, robotics, engineering or a related field(Bachelor, Master, or PhD)</li></ul>
We understand that not everyone will meet all the criteria! If you see yourself in these points, we&rsquo;d love to learn more about you!<h4 class="jobSectionHeader">
About Us</h4>
driveblocks develops off-road ground autonomy that works under harsh and challenging conditions. We build systems designed for operation in 3D terrain, vegetation, and heavy dust and dirt, where 100% reliability is core to success, even in GNSS-denied environments. 
 
Working with multiple OEM partners across agriculture, construction, and defense, our focus is to deliver value to vehicle operators and solve the toughest challenges when deploying Physical AI in real world applications. Every deployment helps us to gather the operational data required to build the next generation of reliable and safe autonomous driving systems. 
 
From our office in Munich, we operate as a focused, highly ambitious team with deep expertise in autonomy, Physical AI, and embedded software engineering. We move quickly and set high standards. If you want to build autonomy that is deployed, tested, and operated in the field - we&rsquo;d love to hear from you!<h4 class="jobSectionHeader"> 
Working at driveblocks</h4><ul><li>
Ownership of your work &ndash; Take responsibility for the full value chain</li><li>
Competitive Compensation &amp; Benefits</li><li>
Participate in driveblocks&rsquo; success via a Virtual Stock Option Plan</li><li>
Flexible working hours</li></ul><h4 class="jobSectionHeader">
How To Apply</h4><ul><li>
Upload your CV and additional documents</li><li>
Show your unique motivation</li></ul></div>

Expert Perception Data Engineer (m/f/d)

SIXT

<div>Company Description 
Job Description 
In this role you will bring innovative algorithms to life and shape business processes like capacity planning through advanced machine learning and optimization techniques. You will design, develop, and maintain cutting-edge models that directly impact millions of customers and drive our business success. Ready to innovate and make an impact? Apply now and join Team Orange in Pullach, close to Munich.
YOUR ROLE AT SIXT<ul><li>
You make data science solutions production-ready, monitored, robust and scalable</li><li>
You ensure a reliable and scalable deployment foundation for workforce management optimization algorithms and ML models following MLOps guidelines</li><li>
You design, develop and maintain machine learning models and optimization algorithms focused on demand forecasting, shift planning and staffing optimization</li><li>
You collaborate effectively across departments, partnering closely with Workforce Management teams to transform operational challenges into data-driven solutions</li><li>
You establish and extend tools to automate the Data Science Tech Stack and continuously enhance MLOps processes including model deployment and data pipelines</li></ul>
YOUR SKILLS MATTER<ul><li>
Experience You have deep experience building and operating machine learning models and optimization algorithms in production with strong proficiency in Python and cloud infrastructure (preferably AWS)</li><li>
Data Engineering You possess strong knowledge of data modelling, database systems and ETL processes</li><li>
AI-Assisted Development You use AI-assisted tools thoughtfully and know how to apply them in ways that remain reviewable, reliable, and useful in day-to-day engineering work.</li><li>
Monitoring &amp; Logging You have deep expertise in monitoring and logging tools to detect and resolve issues proactively in ML models and supporting infrastructure</li><li>
Workforce Management Domain You are familiar with workforce management concepts like forecasting, capacity planning or scheduling &ndash; a strong plus</li><li>
Communication &amp; Collaboration You demonstrate strong communication skills in English</li></ul>
WHAT WE OFFER<ul><li>
Extra benefits Enjoy discounts on SIXT rent, share, ride and SIXT+, attractive vehicle leasing offers, and exclusive deals with partners for travel, tech, fashion and more</li><li>
Mobility boost We support you with a monthly mobility allowance of &euro;20 per month for even more freedom</li><li>
Future security We contribute to your retirement plan and support you with capital-forming benefits to ensure you are well covered</li><li>
Feel-good atmosphere Stay active with our modern SIXT gym, various leisure activities like the gaming area or the SIXT choir, and enjoy our high-quality employee restaurant</li><li>
Flexibility Enjoy 30 days of vacation and a hybrid working model with flexible hours</li><li>
Giving back Take one day each year to volunteer at a charitable organization dedicated to supporting children</li></ul> 

Additional Information<div></div> 
About us:
We are a globally leading mobility service provider with a revenue of &euro;4.00 billion and around 9,000 employees worldwide. Our mobility platform ONE combines our products SIXT rent (car rental), SIXT share (car sharing), SIXT ride (taxi, ride, and chauffeur services), and SIXT+ (car subscription), giving our customers access to our fleet of 350,000 vehicles, the services of 4,000 cooperation partners, and around 5 million drivers worldwide. Together with our franchise partners, we are present in more than 110 countries at 2,000 rental stations. At SIXT, top-tier customer experience and outstanding customer service are our highest priorities. We believe in true entrepreneurship and long-term stability and align our corporate strategy with foresight. Get started with us and apply now!</div>

Senior ML Engineer – Workforce Intelligence (m/f/d)

Airbus

<div>Job Description:
In order to support us, Airbus Defence and Space is looking for an 
<h1 class="jobSectionHeader"> 
AI Solutions Engineer (d/f/m)
</h1>At Airbus Defence and Space, AI and data are our most strategic assets. As a forward deployed AI (artificial intelligence) implementation lead, you are the technical expert who turns our AI capabilities and platforms into mission-critical AI solutions. Working closely with business lines and internal teams, you will be bridging the gap between mission-critical requirements, AI capabilities and operational needs. 
 
In your job, you will work closely with business teams, managing an end-to-end lifecycle of AI use cases from initial technical assessments and evaluation of possible solutions to deployment into production. You will be an integral part of the team responsible for the delivery of a wide range of AI solutions, incl. GenAI (generative AI) and autonomous agentic systems for complex workflows.
Your location
 
Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. You are into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour&rsquo;s reach, offering a multitude of recreational options.
The other possible locations for this role are:
Madrid / Getafe
 
Toulouse
Our Benefits for You
<ul><li>Fair Compensation &amp; Extras: Attractive remuneration and individual additional benefits, such as company pension schemes, mobility offers (e.g., bike leasing), or corporate discounts with partner companies in accordance with our current guidelines.
</li><li>Time for You (and Your Loved Ones): 30 days of annual leave based on our collective agreement (35-hour week); work-life balance through flexible working hours (flextime), mobile working, part-time options, job sharing, and sabbatical opportunities.
</li><li>Growth Made Easy: Excellent professional development opportunities and international, group-wide career perspectives.
</li><li>Feel Good at Work: On-site company doctor; comprehensive health programs (sports courses, preventive care, etc.), canteen and cafeteria, and local childcare facilities at selected locations.
</li><li>Diversity Connects: Work in a diverse environment with more than 140 nationalities, where exchange, mutual support, and inclusion are part of our DNA. 
</li></ul> 
Your tasks and responsibilities
<ul><li>Problem Discovery &amp; Feasibility: Partner with business leads, technical teams to review feasibility of AI use cases, identify technical bottlenecks and lead development of the required AI solutions from GenAI prompt engineering requests, to implementing RAG (retrieval augmented generation) pipeline, and end-to-end orchestrating of a full agentic solution.
</li><li>Tactical Implementation: Evaluate implementation requirements of AI use cases across various Airbus networks / deployment environments and available technology to make critical decisions to minimize end-user / operations impacts and individual AI use cases on the business. This may involve revision of API services, data connectors with tech. teams, optimization of prompts with end-users, and fine-tuning of available LLM (large language models) for optimal fit-for-purpose.
</li><li>Implementation of Agentic Systems: Where appropriate, drive key decisions on the design / implementation of Agentic AI workflows, enabling the GenAI platform to act as an orchestrator of multi-staging tasks, internal platforms, systems and tools while ensuring adherence to ethical guidelines of AI use.
</li><li>Platform Evolution: Act as forward deployed technical liaison and subject matter expert positioned between AI development teams and business teams, actively capturing issues, incidents, failures of individually deployed AI use cases and feed to development teams for future platform evolution.
</li><li>Sovereignty &amp; Compliance: Leverage understanding of applicable EU AI compliance policies, security standards and data sovereignty regulations for secure deployment and operations of AI use cases in Airbus environment.
</li><li>AI solutions delivery: Manage the end-to-end data science lifecycle for integrating GenAI features into existing solutions, focusing on data preparation, LLM fine-tuning, RAG implementation, and defining rigorous evaluation metrics to enhance the performance of the internal solution.
</li></ul>Desired skills and qualifications
<ul><li>Bachelor's Degree in computer science, software engineering, data science or other related technical discipline or preferably a Master&rsquo;s Degree in Artificial Intelligence (AI), Data Science, or Computer Science with specialization in cloud computing, DevOps and/or AI is preferred, reflecting the advanced nature of the role.
</li><li>A strong understanding of standard AI / GenAI/ Agentic AI development and implementation approaches into cloud platforms (AWS/GCP) and into containerized solutions (via Docker, Kubernetes, OpenShift).
</li><li>Expertise in development and implementation of LLMs, RAG pipelines, and Agentic AI across distributed environments and networks.
</li><li>Expertise in Agile, DevOps methodologies, and CI/CD (Continuous Integration / Continuous Deployment) practices, essential for the end-to-end delivery focus.
</li><li>Experience with scripting languages (e.g. Python , JavaScript, etc.) for automation and ML/DevOps libraries.
</li><li>At least 5+ years continuous working experience in a multinational company in software engineering, data science, and forward-deployed technical roles.
</li><li>Previous experience as a liaison between tech development and business teams
</li><li>Python / C++ expert level and experience working across the full stack applications to develop / integrate AI solutions into technology platforms, systems, network environments, etc.
</li><li>Mastery of vector databases, graph databases, and experience with basic data ingestion / data quality principles and workflows for evaluation of data sets for AI consumption.
</li><li>Experience with implementing rigorous scientific evaluation frameworks for optimal AI outputs.
</li><li>Recommended additional industry-recognized certifications (e.g. cloud platform certification, DevOps / Container certification, MLOps-specific certifications, etc.)
</li><li>Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced environment.
</li><li>Strong communication and collaboration abilities, and comprehensive end-user support and stakeholder management skills and ability to work independently and as part of a team in a fast-paced environment.
</li><li>Fluent English, German and English is a plus 
</li></ul> 
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
Take your career to a new level and apply online now! 
 
#MYCYM
This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company&rsquo;s success, reputation and sustainable growth.
Company:
Airbus Defence and Space GmbH
Employment Type:
Permanent
-
Experience Level:
Professional
Job Family:
Digital &lt;JF-IM-DI&gt;
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
 
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.</div>

AI Solutions Engineer (d/f/m)

BMW Group

<div>
 
 ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR!
 
 
 
 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.
 
 
 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.
 
 
 
 What awaits you?
 
 
 
 <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>
 
 What should you bring along?
 
 
 
 <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>
 Are you ready to take proactive action with a hands-on mentality, strong problem-solving skills, and excellent cross-functional communication? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note:
 
 Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <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 bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Start date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours:
 
 Full-time
 
 
 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).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 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. Learn more here.
 
 
 Senior Applied AI / ML Data Engineer (f/m/x)
</div>

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

<div>
 
 Innovation Is Imagining What No One Else Can.
 
 
 
 At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every opinion is valued. It is only when expertise, highly professional processes and enjoyment of work unite that we can shape the future together.
 
 
 With our team you collaborate with experienced AI architects and engineers to build and evolve AI platform architecture, powering Android-based infotainment and large-scale vehicle software systems.
 
 
 
 What awaits you?
 
 
 
 <ul>
 <li>
 You design and own end-to-end AI and data architectures &ndash; from data ingestion and feature pipelines to model deployment and monitoring &ndash; with a strong focus on production-grade edge AI inside the vehicle.
 </li>
 <li>
 Furthermore, you build scalable platform architectures that serve multiple feature teams across the Android ecosystem (e.g. digital cockpits, infotainment features), enabling them to deliver AI-powered customer experiences reliably and at scale.
 </li>
 <li>
 You provide technical leadership for Android Automotive and its ecosystem, ensuring that AI platform decisions align with Android evolution, AOSP constraints, and long-term platform scalability.
 </li>
 <li>
 In addition, you define and evolve clear interfaces between AI platforms, Android infotainment, and application development &ndash; staying compatible with new Android versions while keeping the AI infrastructure adaptable and future-proof.
 </li>
 <li>
 You translate emerging AI requirements into production-ready platform capabilities, bridging applied research, platform engineering, and product needs.
 </li>
 <li>
 You continuously drive the AI strategy for infotainment platforms, tracking key technology trends (e.g. on-device LLMs/VLMs, multimodal interaction, agentic AI) and collaborating with leading external technology partners.
 
 
 
 </li>
 </ul>
 
 What should you bring along?
 
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in Computer Science, AI, Machine Learning, Data Science, or a related field, with hands-on experience in AI and data architecture beyond prototypes.
 </li>
 <li>
 In-depth knowledge of Android (AOSP / Android Automotive) as a production platform, including its constraints and evolution.
 </li>
 <li>
 Strong experience with AI architecture onboard and offboard, as well as implementation of Small Language Models, Vision Language Models, or autonomous driving models.
 </li>
 <li>
 Knowledge of multi-agent systems orchestration, multi-turn dialogues, and related open standards (e.g., A2A, MCP).
 </li>
 <li>
 Experience with AI training toolchains and workflows including pruning, fine-tuning, and multimodal encoding.
 </li>
 <li>
 Proficiency in Rust, C++, Kotlin, and modern, API-driven system architectures.
 </li>
 <li>
 Proven technical leadership experience in agile, cross-functional teams.
 
 
 
 </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!
 
 
 Find out more about Artificial Intelligence at the BMW Group here.
 
 
 
 Note
 
 : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 
 
 
 What do we offer?
 
 
 
 <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 bmw.jobs/benefits
 
 
 
 </li>
 </ul>
 
 Earliest starting date:
 
 from now on
 
 
 
 Type of employment:
 
 unlimited
 
 
 
 Working hours
 
 : full-time
 
 
 When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtual or in person).
 
 
 You can find helpful tips on your application and the application process here.
 
 
 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. Learn more here.
 
 
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>

Senior AI Engineer for the Infotainment Platform (f/m/x)

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