ml engineer

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)

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)

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)

Clera

<div>
 
 About The Role
 
 
 
 Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
 
 
 The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Convert observed customer workflows into autonomous AI agents that perform work end-to-end.
 </li>
 <li>
 Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.
 </li>
 <li>
 Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.
 </li>
 <li>
 Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.
 </li>
 <li>
 Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.
 </li>
 <li>
 Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.
 </li>
 <li>
 Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 
 Must-haves (dealbreakers):
 
 
 
 <ul>
 <li>
 5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.
 </li>
 <li>
 Demonstrated experience shipping LLM-based systems in production (not just prototypes).
 </li>
 <li>
 Proven end-to-end ownership of production AI agents: build &rarr; deploy &rarr; monitor &rarr; improve.
 
 
 </li>
 </ul>
 
 Required skills &amp; experience:
 
 
 
 <ul>
 <li>
 Strong Python programming skills; comfortable shipping production-quality Python code.
 </li>
 <li>
 Experience turning observed real-world workflows into deployable AI automations.
 </li>
 <li>
 Ability to gather requirements directly from customers and translate them into working software.
 </li>
 <li>
 Product-minded approach &mdash; you think about the user experience, not just the model performance.
 
 
 </li>
 </ul>
 
 Nice to have:
 
 
 
 <ul>
 <li>
 Experience designing AI interfaces for human-AI collaboration.
 </li>
 <li>
 Systematic experimentation and benchmarking of models and techniques.
 </li>
 <li>
 Observability and monitoring experience for AI systems (metrics, dashboards, alerting).
 </li>
 <li>
 Background in or exposure to professional services, fintech, or compliance-heavy industries.
 
 
 </li>
 </ul>
 Location
 
 
 This role is
 
 on-site in Munich, Bavaria, Germany
 
 . Candidates must be willing and able to work from the Munich office.
 
 Visa sponsorship is not available
 
 &mdash; applicants must already have the right to work in Germany.
 
 
 
 Compensation &amp; Benefits
 
 
 
 Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.
 
 
</div>

Member of Technical Staff, Product (AI Agents)

CLERA

<div><h3 class="jobSectionHeader">About the Role</h3>
Join a well-funded, early-stage startup bringing AI agents to a highly specialised professional services industry. This is a hands-on, end-to-end engineering role: you will design, build, ship, and continuously improve production AI agents that automate repetitive, high-value workflows for real customers. You will work directly with those customers, translate what you observe into reliable automations, and own everything from prototype to production monitoring.
The team moves fast, values measurable impact, and expects every engineer to take full ownership of the problems they pick up.<h3 class="jobSectionHeader">
What You'll Do</h3><ul><li>
Convert observed customer workflows into autonomous AI agents that perform work end-to-end.</li><li>
Collaborate directly with customers to understand their operations, surface automation opportunities, and iterate on solutions.</li><li>
Ship automations that replace hours of manual, repetitive effort and demonstrably improve user efficiency.</li><li>
Own production AI agents across their full lifecycle: build, deploy, monitor, and improve.</li><li>
Run structured experiments with new models, prompting techniques, and use cases; benchmark results and ship what works.</li><li>
Design thoughtful AI &times; Human interfaces that make automation practical and trustworthy for professional users.</li><li>
Instrument systems with observability tooling &mdash; metrics, dashboards, and alerts &mdash; to ensure reliability at scale.</li></ul><h3 class="jobSectionHeader">
What We're Looking For</h3>
Must-haves (dealbreakers):<ul><li>
5+ years of experience in ML/AI product development, with a strong track record of building and delivering production-grade AI agents.</li><li>
Demonstrated experience shipping LLM-based systems in production (not just prototypes).</li><li>
Proven end-to-end ownership of production AI agents: build deploy monitor improve.</li></ul>
Required skills &amp; experience:<ul><li>
Strong Python programming skills; comfortable shipping production-quality Python code.</li><li>
Experience turning observed real-world workflows into deployable AI automations.</li><li>
Ability to gather requirements directly from customers and translate them into working software.</li><li>
Product-minded approach &mdash; you think about the user experience, not just the model performance.</li></ul>
Nice to have:<ul><li>
Experience designing AI interfaces for human-AI collaboration.</li><li>
Systematic experimentation and benchmarking of models and techniques.</li><li>
Observability and monitoring experience for AI systems (metrics, dashboards, alerting).</li><li>
Background in or exposure to professional services, fintech, or compliance-heavy industries.</li></ul><h3 class="jobSectionHeader">
Location</h3>
This role is on-site in Munich, Bavaria, Germany. Candidates must be willing and able to work from the Munich office. Visa sponsorship is not available &mdash; applicants must already have the right to work in Germany.<h3 class="jobSectionHeader">
Compensation &amp; Benefits</h3>
Compensation details were not specified for this role. You will be joining an early-stage, seed-funded startup where equity upside and direct impact are significant parts of the overall package. Specifics will be discussed during the interview process.</div>

AutoBrains Technologies

<div>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.
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.
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. 
Requirements:
 
<ul><li>Master's degree in engineering or a STEM field (e.g. electrical engineering, deep learning / ML, robotics, or similar)</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>
Bonus<ul><li>
Experience with Docker</li><li>
Experience with ROS</li></ul> 
Responsibilities:
 
<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

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 
</li>
<li>1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience programming in Python.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience testing, maintaining, or launching distributed software and developing in a cloud environment.</li>
<li>Ability to learn new technologies in Chrome.</li>
<li>Ability to be aware of the problems and to keep user journey's in mind.</li>
<li>Familiarity with Agentic workflows and using Large Language Models (LLMs) to actuate the web.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As part of the Chrome Identity and Context organization, our team has invested safely and conveniently bringing the user's data to their web journeys. Users love Autofill: When presented with the choice between typing an address and autofilling it, two-thirds of Android users chose the latter. By autofilling an address, users save over half of their time interacting with the form and they even submit more forms. 
 
The world of Autofill is complex: Address formats vary globally, credit cards and other forms of payment are sensitive parts of shopping journeys, and identity documents need to be handled securely. We help users interact with their data from across the Google ecosystem, including from Google Wallet or GMail.
Chrome is dedicated to building a better, more open web. We&rsquo;re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms &mdash; iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
Germany: &euro;106000 - &euro;109000 (EUR) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Develop and launch models and infrastructure focused on enabling AI experiences in Chrome.</li>
<li>Participate in design and code reviews for teammates and other Google/Chrome teams.</li>
<li>Collaborate with product managers and other engineers to turn requirements into technical solutions, deploy experiments, define datasets, perform evals and analyze results.</li>
<li>Work independently on assigned tasks and turn high-level objectives into concrete engineering plans.</li>
<li>Implement models within a system that agentically drives web sites with high quality.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML, Chrome Autofill

Explore 53+ Ml engineer in Munich this July. Find roles across top companies and apply now to boost your career.

53 ml engineer jobs In Munich

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

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

Internship: Machine Learning (m/f/x)

Member of Technical Staff, Product (AI Agents)

Member of Technical Staff, Product (AI Agents)

Planner Stack Engineer

Software Engineer III, AI/ML, Chrome Autofill