machine learning engineer

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

NEURA Robotics

<div>Your mission &amp; challenges<ul><li>
Act as AI consultant for NeuraGym users: scope feasibility, choose algorithms, plan data collection</li><li>
Onboard users to the full NeuraGym pipeline: teleoperation, annotation, training, simulation, deployment and validation</li><li>
Collaborate closely with the on-site Robotics Engineer during data capture and experiments to ensure that the desired behavior and safety standards are achieved</li><li>
Advise users while they debug: review training scripts, point out data issues, help reproduce model bugs; step in hands-on when a blocker persists</li><li>
Serve as a valuable interface to our cloud team and AI team, facilitating collaboration and support where needed</li><li>
Feed lessons learned back into both the NeuraGym product roadmap and the Neura core AI roadmap</li></ul>
What we can look forward to<ul><li>
Master&rsquo;s degree in Computer Science, Robotics, Electrical Engineering or related field</li><li>
3+ years hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest</li><li>
Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow 
Comfortable working directly with real robot hardware and associated middleware</li><li>
Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus</li><li>
Proven problem-solving abilities and ability to handle multiple projects in parallel</li><li>
Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)</li></ul></div>

Robotic Foundation Model Engineer – RoboGym (Human)

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)

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

Teamlead AI Engineering - RoboGym (human)

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)

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)

Michael Page

<div>
 <ul>
 <li>
 Umfangreiche Fort- und Weiterbildungsm&ouml;glichkeiten in der IT-Branche
 </li>
 <li>
 Strategische Weiterentwicklung einer globalen IT-Architektur
 
 
 </li>
 </ul>
 
 Firmenprofil
 
 
 
 Unser Kunde ist ein mittelst&auml;ndisches Unternehmen aus der Technologie- und Telekommunikationsbranche mit Sitz in M&uuml;nchen. Das Unternehmen ist bekannt f&uuml;r seine Expertise in der Entwicklung von IT-L&ouml;sungen und bietet eine professionelle Arbeitsumgebung mit Fokus auf technologischen Fortschritt.
 
 
 
 Aufgabengebiet
 
 
 
 <ul>
 <li>
 Entwicklung und Implementierung von Cloud-basierten Plattformen zur Unterst&uuml;tzung von KI-Anwendungen.
 </li>
 <li>
 Integration und Optimierung von Machine-Learning-Algorithmen in bestehende IT-Systeme.
 </li>
 <li>
 Sicherstellung einer skalierbaren und sicheren Cloud-Infrastruktur.
 </li>
 <li>
 Kollaboration mit interdisziplin&auml;ren Teams zur Entwicklung innovativer Technologien.
 </li>
 <li>
 Analyse und Optimierung von Systemleistungen.
 </li>
 <li>
 Implementierung von Best Practices f&uuml;r Cloud-Sicherheitsl&ouml;sungen.
 </li>
 <li>
 Dokumentation und Pr&auml;sentation technischer L&ouml;sungen an interne und externe Stakeholder.
 </li>
 <li>
 Unterst&uuml;tzung bei der Fehlerbehebung und dem technischen Support f&uuml;r die entwickelten Systeme.
 
 
 </li>
 </ul>
 
 Anforderungsprofil
 
 
 
 <ul>
 <li>
 Abgeschlossenes Studium in Informatik oder einschl&auml;gige Berufserfahrung.
 </li>
 <li>
 Erfahrung in der Entwicklung und Verwaltung von Cloud-Infrastrukturen.
 </li>
 <li>
 Kenntnisse in Programmiersprachen wie Python, Golang oder &auml;hnlichen Technologien.
 </li>
 <li>
 Verst&auml;ndnis von KI- und Machine-Learning-Technologien.
 </li>
 <li>
 Erfahrung mit Tools wie Docker, Kubernetes oder vergleichbaren Plattformen.
 </li>
 <li>
 Starke Probleml&ouml;sungsf&auml;higkeiten und analytisches Denken.
 </li>
 <li>
 F&auml;higkeit, in einem technologiegetriebenen Umfeld effektiv zu arbeiten.
 
 
 </li>
 </ul>
 
 Verg&uuml;tungspaket
 
 
 
 <ul>
 <li>
 Attraktives Gehaltspaket bis zu 90.000 EUR Brutto/Jahr.
 </li>
 <li>
 Eine tempor&auml;re Anstellung mit spannenden Projekten in der Technologie- und Telekommunikationsbranche.
 </li>
 <li>
 Moderne Arbeitsumgebung in M&uuml;nchen.
 </li>
 <li>
 Vielf&auml;ltige M&ouml;glichkeiten zur Weiterbildung und pers&ouml;nlichen Entwicklung.
 </li>
 <li>
 Zusammenarbeit in einem professionellen und technologisch fortschrittlichen Team.
 
 
 </li>
 </ul>
 Bewerben Sie sich noch heute und werden Sie Teil eines zukunftsorientierten Unternehmens in M&uuml;nchen, das innovative L&ouml;sungen in der Technologiebranche vorantreibt!
 
 
 
 Quote job ref: JN-062026-7046344
 
 
 
</div>

AI Platform and Cloud Engineer (m/w/d)

Explore 62+ Machine learning engineer in Munich this July. Find roles across top companies and apply now to boost your career.