machine learning intern

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)

Isarsoft

<div><h4 class="jobSectionHeader">We are Isarsoft</h4>
We make every camera count 
At Isarsoft we develop video analytics software to make transportation and cities more efficient, inclusive and secure. We stand for data protection and responsible processing of sensitive data. Being on the forefront of innovation we work together in interdisciplinary teams in a positive, fun and energetic atmosphere. 
 
Our customers and partners are at the center of everything we do. Founded in 2019 we have grown organically winning large customers and partners delivering compelling, reliable, high-performance software. We are proud of being a privately held company focusing on long-term relations to our customers and team members.<h4 class="jobSectionHeader"> 
Your mission</h4>
As Working Student Software Engineer at Isarsoft you will be at the heart of the research and development. You will be closely working together with our international team including Isarsoft's CTO and Co-Founder. Your responsibilities include researching and developing algorithms for camera calibration, synchronization, and real-time video analytics.<h4 class="jobSectionHeader">
Your profile</h4><ul><li>
Strong Python Skills: You are highly proficient in Python and feel completely comfortable manipulating and analyzing data with libraries like Pandas and NumPy.</li><li>
CV/ML Experience: You have a solid foundational knowledge and hands-on experience in Computer Vision and/or Machine Learning, specifically with PyTorch and OpenCV. (Strong academic experience, such as relevant university lectures, thesis work, or student projects, is absolutely welcome!)</li><li>
Development Fundamentals: You know your way around Linux environments and are comfortable using Git for version control.</li><li>
Modern Coding Practices: You are comfortable and efficient using AI coding assistants (like GitHub Copilot) to optimize your daily work.</li><li>
Passionate about working with talented, motivated professionals
</li><li>Fluent in English</li><li>
Location: You must be currently based in or willing to relocate to the Munich area, as this role requires regular on-site collaboration.</li></ul><h4 class="jobSectionHeader"> 
Additional assets</h4><ul><li>
Familiarity or first touchpoints with VLMs (Vision-Language Models) or LLMs (Large Language Models).</li><li>
Basic knowledge of C++ (e.g., for reading or maintaining existing codebase).</li><li>
Basic understanding of Docker and containerized workflows.</li><li>
Exposure to deployment and optimization tools like ONNX or TensorRT.</li></ul><h4 class="jobSectionHeader">
Benefits</h4><ul><li><div>
An experienced, highly motivated and international team to learn and grow</div></li><li><div>
A high-impact work environment with flat hierarchies and short decision-making processes</div></li><li><div>
Have the flexibility to work from anywhere: A great office in Garching nearby Munich, from home or the English-Garden</div></li><li><div>
Free lunch, coffee and drinks at our office</div></li></ul><div>
Sounds good? We are just getting started. Let's build a great company together.</div><h4 class="jobSectionHeader"> 
Hiring Process</h4>
We are committed to a transparent and fair hiring process. We aim for concluding the interview process in no longer than 3 weeks. 
 
There are two stages for a Working Student position at Isarsoft. 
<ul><li>
Video Interview with HR</li><li>
Technical Deep Dive</li></ul>
We deeply believe that a great product only can be build by a great team. That's why sharing our values, being a team-player and having a energetic attitude is as important as bringing the right technical skills.<h4 class="jobSectionHeader">
About us</h4>
Learn more about Isarsoft
 
www.isarsoft.com 
 
Follow us on social media 
LinkedIn | YouTube | Twitter 
 
Fun fact: Isar is the river flowing through the heart of Munich contributing to making it one of the most liveable cities in the world. Isarsoft Perception provides people-, and traffic flow analytics to enhance mobility, safety and live in cities across the globe. 
 
Let's make every camera count!</div>

Working Student Computer Vision Engineer

Luma Vision

<div>LUMA Vision is a start-up based in Dublin (Ireland) and Munich (Germany) developing innovative imaging technologies to advance healthcare and solve global unmet clinical needs. We apply rigorous engineering and design to create new hardware, software and data-science technologies towards clinical procedures. Our focus is on developing sophisticated ultrasound cardiac imaging and navigation systems that provide essential real-time visualisation for advanced electrophysiology and structural heart procedures, leveraging diverse technologies to transform patient care.
To drive our platform development, we are looking for a Medical Deep Learning Computer Vision Engineer to join our growing team in our quest to produce high-quality medical device software. You will become part of a dynamic group of innovators, shaping the future of imaging in healthcare. 
Your role with us:
As a Medical Deep Learning Computer Vision Engineer, you will be responsible for working across research, technology development, and clinical application development. Your expertise makes you ready to own technical modules and processes end-to-end, working collaboratively within the team on both classical computer vision and artificial intelligence (AI) towards shipping production-quality code in Python and, where performance demands it, C++ and CUDA.
Your technical work will span from low-level signal processing to advanced deep learning and contribute to large-scale dataset preparation and curation. You will engage across research, hardware, clinical, and regulatory teams and help guide junior engineers through code reviews and technical design. You are comfortable using GIT and CI/CD to collaborate on and deliver code that is tested, documented, and ready for a regulated medical device environment. 
What you offer:<ul><li>
BSc or MSc degree in computer science, biomedical engineering or a related field.</li><li>
3+ years of professional experience in image processing, computer vision or deep learning for real-world applications</li><li>
Strong proficiency in Python with demonstrated ability to write production-grade code.</li><li>
Professional experience in deep learning development for computer vision.</li><li>
Proven ability to read, implement and critically evaluate state-of-the-art approaches from literature.</li><li>
Expertise with 3D (and ideally 4D) data. Familiarity with medical imaging is highly preferred.</li><li>
Experience working in a regulated environment or a strong appreciation for software quality practices including testing, documentation and validation.</li><li>
Hands-on, collaborative problem-solving mindset and excellent communication skills in English.</li></ul> 
Nice-to-Have:<ul><li>
Experience with C++ and/or CUDA.</li><li>
Experience with medical imaging (cardiac focus and/or ultrasound a plus)</li><li>
Exposure to MLOps and model deployment.</li><li>
Secure data handling with GDPR compliance for sensitive (healthcare) data.</li></ul> 
What we offer:<ul><li>
Ownership of meaningful work, your code will directly impact patient care and clinical outcomes.</li><li>
A growing and collaborative multinational team with a strong focus on team culture and individual development.</li><li>
Access to global network of clinical, technical and business innovators.</li><li>
Competitive salary with participation in employee participation scheme</li><li>
Flexible hybrid working with ergonomic offices in Dublin and Munich, both easily reachable by public transport.</li></ul>
LUMA Vision is an equal opportunity employer and welcomes applications from all qualified individuals regardless of ethnicity, sex, disability, religion/belief, sexual orientation or age.
Would you like to become part of our team?
We would love to hear from you!</div>

Medical Deep Learning Computer Vision Engineer (m/w/d)

Michael Page

<div>
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 Umfangreiche Fort- und Weiterbildungsm&ouml;glichkeiten in der IT-Branche
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 Strategische Weiterentwicklung einer globalen IT-Architektur
 
 
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 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
 
 
 
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 Entwicklung und Implementierung von Cloud-basierten Plattformen zur Unterst&uuml;tzung von KI-Anwendungen.
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 Integration und Optimierung von Machine-Learning-Algorithmen in bestehende IT-Systeme.
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 Sicherstellung einer skalierbaren und sicheren Cloud-Infrastruktur.
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 Kollaboration mit interdisziplin&auml;ren Teams zur Entwicklung innovativer Technologien.
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 Analyse und Optimierung von Systemleistungen.
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 Implementierung von Best Practices f&uuml;r Cloud-Sicherheitsl&ouml;sungen.
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 Dokumentation und Pr&auml;sentation technischer L&ouml;sungen an interne und externe Stakeholder.
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 Unterst&uuml;tzung bei der Fehlerbehebung und dem technischen Support f&uuml;r die entwickelten Systeme.
 
 
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 Anforderungsprofil
 
 
 
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 Abgeschlossenes Studium in Informatik oder einschl&auml;gige Berufserfahrung.
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 Erfahrung in der Entwicklung und Verwaltung von Cloud-Infrastrukturen.
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 Kenntnisse in Programmiersprachen wie Python, Golang oder &auml;hnlichen Technologien.
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 Verst&auml;ndnis von KI- und Machine-Learning-Technologien.
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 Erfahrung mit Tools wie Docker, Kubernetes oder vergleichbaren Plattformen.
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 Starke Probleml&ouml;sungsf&auml;higkeiten und analytisches Denken.
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 F&auml;higkeit, in einem technologiegetriebenen Umfeld effektiv zu arbeiten.
 
 
 </li>
 </ul>
 
 Verg&uuml;tungspaket
 
 
 
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 Attraktives Gehaltspaket bis zu 90.000 EUR Brutto/Jahr.
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 Eine tempor&auml;re Anstellung mit spannenden Projekten in der Technologie- und Telekommunikationsbranche.
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 Moderne Arbeitsumgebung in M&uuml;nchen.
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 Vielf&auml;ltige M&ouml;glichkeiten zur Weiterbildung und pers&ouml;nlichen Entwicklung.
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 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)

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)

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?
 
 
 
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 You design data pipelines for ingestion, curation, pseudonymization, and versioning.
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 Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
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 You set up experiment tracking and artifact registries for model variants.
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 Additionally, you build evaluation suites covering relevant KPIs such as latency, memory, hallucination, safety, and harms.
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 You optimize dataset construction for small LLMs, including instruction tuning, preference data, and synthetic data with controls.
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 You build and operate the data pipelines and provide self-serve tools for the team.
 
 
 
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 </ul>
 
 What should you bring along?
 
 
 
 <ul>
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 University degree in Computer Science, Engineering, or a related field.
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 Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD.
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 Practical knowledge of evaluation at scale, including golden sets, online metrics, drift detection, and regression testing.
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 Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
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 Motivation to embrace customer problems and find innovative solutions using available technologies.
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 You enjoy working on complex problems in an international in-house team of experts.
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 Professional English proficiency; German is a plus.
 
 
 
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 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?
 
 
 
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 Challenging projects with which we are shaping the mobility of tomorrow together.
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 Wide range of personal and professional development opportunities.
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 Attractive, fair and performance-related remuneration.
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 High level of job security.
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 Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
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 Flexible working hours including 6 weeks annual leave and overtime compensation.
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 Discounted BMW &amp; MINI conditions.
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 Many other benefits at bmw.jobs/benefits
 
 
 
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 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)

Explore 39+ Machine learning intern in Munich this July. Find roles across top companies and apply now to boost your career.