Qureos Mentor

BMW Group

Die BMW Group ist mit ihren Marken BMW, MINI, Rolls-Royce und BMW Motorrad der weltweit führende Premium-Hersteller von Automobilen und Motorrädern sowie Anbieter von Premium-Finanzdienstleistungen. Das Unternehmen betreibt über 30 Produktionsstandorte weltweit und hat ein globales Vertriebsnetz in über 140 Ländern. Nachhaltigkeit und verantwortungsvolles Handeln sind zentrale Bestandteile der Unternehmensstrategie.

<div>
 <strong>
  Innovation Is Imagining What No One Else Can.
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  What awaits you?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What should you bring along?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 If you are passionate about scalable AI platforms, edge computing, and real-world impact? Apply now!
 <br/>
 <br/>
 Find out more about Artificial Intelligence at the BMW Group here.
 <br/>
 <br/>
 <strong>
  Note
 </strong>
 : Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.
 <br/>
 <br/>
 <strong>
  What do we offer?
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Earliest starting date:
 </strong>
 from now on
 <br/>
 <br/>
 <strong>
  Type of employment:
 </strong>
 unlimited
 <br/>
 <br/>
 <strong>
  Working hours
 </strong>
 : full-time
 <br/>
 <br/>
 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).
 <br/>
 <br/>
 You can find helpful tips on your application and the application process here.
 <br/>
 <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. Learn more here.
 <br/>
 <br/>
 Senior AI Engineer for the Infotainment Platform (f/m/x)
</div>


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

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


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

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p></p><p><br>
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.</p><br>
</div><p></p><div><p>We are building an inter-domain multi-agent system that spans ADAS, Infotainment and backend services for the intelligent vehicle of the future. A dedicated team designs and implements this system &ndash; your job is to prove it works. You will own the virtual validation of this multi-agent AI system in a cloud-based test environment, developing AI-assisted validation strategies that systematically explore the behavioural space of interacting agents and uncover failures that conventional testing would miss.</p><p><b>
What awaits you?</b></p><ul><li>
You build and operate cloud-based validation environments for a multi-agent system that operates across ADAS, Infotainment and backend-service domains &ndash; defining test architectures, scenario pipelines, behavioural oracles and regression suites.</li><li>
Also, you design AI-assisted exploration strategies to navigate the semantic search space of the system under test: agent-based probing of behavioural boundaries, adaptive test strategies, and optimization techniques to surface edge cases and failure modes.</li><li>
It is your responsibility to develop coverage models and metrics for non-deterministic multi-agent systems and use them to steer test generation and assess release readiness.</li><li>
You establish validation methodologies suited to stochastic AI behaviour: metamorphic testing, property-based testing, adversarial probing and acceptance criteria grounded in confidence intervals rather than binary pass/fail.</li><li>
You build observability and diagnostics tooling for validation runs &ndash; distributed tracing, trajectory replay, automated failure clustering and root-cause triage &mdash; so that discovered issues can be rapidly understood and communicated to the design team.</li><li>
Furthermore, you evaluate and select the LLMs/SLMs that power your validation agents and test-generation systems, balancing latency, cost and accuracy for large-scale test campaigns.</li><li>
You close the feedback loop between validation findings and system improvement by structuring discovered failures, coverage gaps and behavioural anomalies into actionable knowledge for the design and context-engineering teams.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, AI/ML, Systems Engineering, or a related field.</li><li>
3&ndash;5 years of hands-on experience in validation, verification or quality engineering for complex AI, ML or software-intensive systems.</li><li>
Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python).</li><li>
Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode.</li><li>
Understanding of agentic AI architectures, agent patterns and multi-agent interaction.</li><li>
Ability to apply optimization, search or operational-research techniques (genetic/evolutionary algorithms, Bayesian optimisation, Monte Carlo methods) to testing or exploration problems.</li><li>
Experience with automotive software quality processes (e.g. ASPICE, ISO 26262) is a plus.</li></ul><p>
You enjoy working in an international team and are passionate about software quality? 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><br>
If you apply, the next stages of the recruiting process include an online test followed by technical interviews with the hiring manager (either virtual or in person).</p><p><br>
</p><p>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>Autonomous Driving
</div><div>Job Id:</div>
<div>185158</div>
<div>Publication Date:</div>
<div>17.04.2026</div></div>

Validation Engineer - Multi-Agent AI Systems (f/m/x)

<div><div><p><b>INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.</b></p><p></p><p><br>
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.</p><br>
</div><p></p><div><p>Our platform teams build AI-based toolchains that simulate, reprocess and train models on petabyte-scale automotive data &ndash; and we increasingly rely on agentic AI to operate, maintain and improve these toolchains. The glue that makes agents effective is context: the right knowledge, delivered at the right time, in the right shape. We are looking for an engineer who can design and evolve the knowledge-management and context-engineering backbone that powers both our product (an inter-domain multi-agent vehicle system) and our internal development toolchain.</p><p><b>
What awaits you?</b></p><ul><li>
You design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned &ndash; enabling graph-based retrieval across the organization.</li><li>
Further, you build context-engineering pipelines that dynamically assemble, rank and budget the information supplied to LLM-based agents.</li><li>
Also, you implement feedback loops: coding agents and skills that interact with our toolchain log outcomes, diagnose failures and write findings back into the knowledge graph, making the system progressively more capable.</li><li>
It is your responsibility to develop and maintain ontologies and semantic models for the automotive AI domain &ndash; sensor configurations, simulation scenarios, data-pipeline topology, model lineage &ndash; ensuring consistent vocabulary across teams and tools.</li><li>
You architect agent memory systems (working, episodic, semantic) with appropriate consolidation and retention mechanisms so that long-running agent sessions retain useful experience without context-window bloat.</li><li>
In addition, you evaluate and optimise retrieval quality using relevance, coverage, freshness and redundancy metrics, and run experiments comparing retrieval strategies (dense, sparse, graph, hybrid).</li><li>
You contribute to cost-efficient model selection and context-compression strategies (prompt compression, semantic caching, model routing) to keep latency low and budgets sustainable at scale.</li></ul><p><b>
What should you bring along?</b></p><ul><li>
University degree in Computer Science, Information Science, AI/ML, or a related field.</li><li>
1-3 years of professional experience in knowledge management, knowledge-graph engineering or context engineering for AI/LLM systems.</li><li>
Expert-level programming skills in at least one high-level language (C++, Java, Kotlin or Python).</li><li>
Proficiency in AI-assisted development using coding agents such as Claude Code, GitHub Copilot or OpenCode.</li><li>
Hands-on experience building and querying knowledge graphs (RDF/SPARQL or property graphs) and integrating them with LLM-based retrieval (e.g. GraphRAG, hybrid search).</li><li>
Experience with systems design, particularly for knowledge-intensive or retrieval-heavy architectures.</li><li>
Familiarity with agent memory architectures, ontology design, semantic modelling, graph-based analytics, entity resolution or knowledge-graph embeddings.</li></ul><p>
You enjoy working in an international team and are passionate about software quality? 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><br>
If you apply, the next stages of the recruiting process include an online test followed by technical interviews with the hiring manager (either virtual or in person).</p><p><br>
</p><p>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>Autonomous Driving
</div><div>Job Id:</div>
<div>185161</div>
<div>Publication Date:</div>
<div>17.04.2026</div></div>

Validation Engineer - Context, Semantics & Memory (f/m/x)

<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>

<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)

Join BMW Group and explore 15   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

BMW Group

About Company

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