machine learning intern

RoboService

<div>
 
 
 Company Description
 
 
 
 RoboService solves the "Last Mile" of humanoid robotics. While manufacturers provide the hardware and foundation models, these general-purpose "brains" are not yet ready for the specific, accurate tasks of a production line. We bridge that gap.
 
 
 
 
 
 We don't build foundation models from scratch; we operationalize them. We take state-of-the-art VLA models and fine-tune them for reliability, speed, and precision in real-world manufacturing environments.
 
 
 
 
 
 We are not a research lab; we are shipping code that moves atoms. Launched in July 2025 by repeat founders with successful exits, we are looking for engineers who want to take robots out of the lab and onto the factory floor.
 
 
 
 
 
 
 Role Description
 
 
 
 We are looking for an intern / working student who joins our Robotics Machine Learning Engineering team. You will bridge the gap between "remote controlled hardware" and "autonomous robots". We work with robotics manufacturers that provide great hardware and a model infrastructure, but are missing the software to fine-tune the models on a specific task. Your primary focus will be establishing training pipelines - from teleoperation data collection to fine-tuning VLA models and utilizing Reinforcement Learning (RL) to fine-tune complex manipulation tasks.
 
 
 
 
 
 You won't be writing papers. You will be:
 
 
 
 
 <ul>
 <li>
 Building
 
 data pipelines
 
 to capture and analyze training data
 </li>
 <li>
 Fine-tuning
 
 VLA models
 
 (open source and proprietary models from our partners)
 </li>
 <li>
 Managing the
 
 Data Pipeline
 
 and overseeing the
 
 Teleoperation
 
 activities. Manage large datasets required for fine-tuning models.
 </li>
 <li>
 
 Reinforcement Learning
 
 (RL): Apply RL techniques to fine-tune robot actions, ensuring robust performance when the robot works on the production line.
 </li>
 <li>
 Utilize high-fidelity simulation environments (
 
 MuJoCo
 
 ,
 
 NVIDIA Isaac Sim, Omniverse
 
 ) to train and test agents before deploying them to physical hardware. (Sim2Real)
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 Education
 
 : Currently pursuing your Master&rsquo;s degree or PhD in Robotics, Computer Science, Data Science, Artificial Intelligence, or a related field.
 </li>
 <li>
 
 Experience
 
 : Machine Learning, Deep learning, or embodied AI. Hands-On Robotics Experience.
 </li>
 <li>
 
 Core ML Skills
 
 : Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX). Experience with Transformers and VLA architectures is highly desirable.
 </li>
 <li>
 
 Simulation
 
 : Proven experience with physics-based simulators, specifically NVIDIA Isaac Sim or similar (Gazebo, MuJoCo).
 </li>
 <li>
 
 Data Engineering:
 
 Ability to analyze and manage large datasets, automate data cleaning, and build training pipelines.
 </li>
 <li>
 Proficiency in
 
 English
 
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <ul>
 <li>
 
 Path to Full-Time
 
 : After a successful internship, we aim to extend a full-time offer.
 </li>
 <li>
 
 Berlin based
 
 : We&rsquo;re an in-person team and we work out of our office in downtown Berlin. If you're not in Berlin yet, be prepared to move here before the start of the job.
 </li>
 <li>
 
 Access to Cutting Edge Tech
 
 : Work daily on the latest software and hardware that will shape our future.
 </li>
 <li>
 
 Impact
 
 : Work in real projects with manufacturers to bring robots onto manufacturing floors.
 </li>
 <li>
 
 Startup Environment
 
 : We are a fast-moving startup with high growth ambitions.
 </li>
 <li>
 
 Team of Experts
 
 : We are a team of experts where every voice matters. Work with professionals that are leading their field.
 </li>
 </ul>
 
 
 
 
 
 Apply now!
 
 
</div>

Internship - Data Science & Robotics Machine Learning

Alignerr

<div>
 
 About The Role
 
 
 
 What if your machine learning expertise could directly influence how the most advanced AI systems in the world think, reason, and write code? We're looking for experienced ML engineers in Berlin to evaluate AI-generated machine learning solutions &mdash; catching errors, improving quality, and helping frontier AI models get genuinely better at one of the hardest things they do.
 
 
 This is a fully remote, flexible contract role. Work asynchronously on your own schedule. No fixed hours, no meetings &mdash; just high-impact, expert work that matters.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote (Germany-based)
 </li>
 <li>
 Commitment: Flexible, project-based
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated machine learning code &mdash; including Python, TensorFlow, PyTorch, and scikit-learn &mdash; for correctness, efficiency, scalability, and clarity
 </li>
 <li>
 Write high-quality ML solutions to modeling, data processing, and deployment problems across a range of difficulty levels
 </li>
 <li>
 Craft clear, developer-friendly explanations for model architecture decisions, code logic, and problem-solving approaches
 </li>
 <li>
 Identify edge cases, ambiguities, and weaknesses in problem statements, datasets, or AI-generated responses
 </li>
 <li>
 Help set the quality bar for how AI understands and produces machine learning code
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Deeply fluent in machine learning &mdash; you know your way around model development, data preprocessing, training pipelines, and deployment
 </li>
 <li>
 Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
 </li>
 <li>
 Strong written communicator &mdash; able to explain complex ML concepts clearly and precisely in English
 </li>
 <li>
 Detail-oriented and rigorous &mdash; you catch what others miss and care about getting things right
 </li>
 <li>
 Self-motivated and comfortable working independently in an async environment
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 3&ndash;5+ years working on machine learning projects, pipelines, or MLOps
 </li>
 <li>
 Experience with model evaluation, cloud deployment, or production ML systems
 </li>
 <li>
 Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Background in data labeling, RLHF, or other AI training workflows
 </li>
 <li>
 Prior experience with code review or technical writing
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs and top AI teams
 </li>
 <li>
 Fully remote and async &mdash; work when and where it suits you, with no minimum hour commitments beyond project needs
 </li>
 <li>
 Freelance autonomy with the structure of meaningful, task-based work
 </li>
 <li>
 Your contributions directly improve AI models used by top research labs and enterprise teams worldwide
 </li>
 <li>
 High-performing contributors take on expanded responsibilities and lead new programs
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer – Machine Learning (AI Training)

ALMEDIA

<div>This isn&rsquo;t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We&rsquo;re aiming to become Germany&rsquo;s second bootstrapped unicorn. Almedia is already Europe&rsquo;s #3 fastest-growing company in 2025 (FT1000).
We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers&rsquo; products. We are offering a new way to acquire users for the biggest companies in the world.<h2 class="jobSectionHeader"> 
Principal Machine Learning Engineer
</h2>You'll take ownership of the hardest ML problems across Almedia's products and growth. This is a hands-on role for someone who identifies what matters most, sets the technical direction, and drives it end to end with minimal oversight.<h2 class="jobSectionHeader">
Types of problems you'll be solving</h2><ul><li>
Designing and owning the strategy for user reward schemes at scale, across behaviour signals and market dynamics</li><li>
Architecting real-time personalisation systems for reward values that operate at production scale</li><li>
Defining how we detect and diagnose underperforming campaigns, and building the systems that act on it</li></ul><h2 class="jobSectionHeader">
Your role</h2><ul><li>
Own end-to-end delivery of high-impact ML systems: from problem framing through to production and iteration</li><li>
Set the technical bar for ML across the org, establishing best practices and raising the quality of decisions</li><li>
Define where ML creates the most business value and align the roadmap accordingly</li><li>
Apply advanced statistical and causal inference methods with rigour and production-readiness</li><li>
Partner with product and engineering leadership to shape how technical capability maps to strategic priorities</li></ul><h2 class="jobSectionHeader">
You have</h2><ul><li>
A strong track record of taking ambiguous, high-impact problems from first principles to production independently</li><li>
Deep expertise in statistics, causal inference, and experimentation at scale</li><li>
Mastery of Python and SQL, with extensive hands-on cloud and production systems experience</li><li>
A history of setting technical direction and raising the bar for engineering teams around you</li><li>
The communication range to influence both engineers and senior business stakeholders</li></ul><h2 class="jobSectionHeader">
Bonus points for</h2><ul><li>
Passion for gaming and a strong intuition for player behaviour</li><li>
Experience in adtech, monetisation platforms, or the gambling industry</li><li>
Familiarity with gaming KPIs such as pLTV, retention, and ROAS</li></ul><h2 class="jobSectionHeader">
Why Almedia?</h2><ul><li>
Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one.</li><li>
High-Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar.</li><li>
Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued.</li></ul>
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.</div>

Principal Machine Learning Engineer

Deloitte

<div>
 Deloitte bietet f&uuml;hrende Pr&uuml;fungs- und Beratungsleistungen in Audit &amp; Assurance, Tax &amp; Legal, Consulting und Advisory - f&uuml;r nahezu 90 % der Fortune Global 500&reg; und zahlreiche private Unternehmen. Wir liefern innovative Denkans&auml;tze, l&ouml;sen komplexe Herausforderungen und f&ouml;rdern nachhaltiges Wachstum. Mit rund 470.000 Mitarbeitenden weltweit er&ouml;ffnen wir hervorragende Karrierechancen - getragen von einem starken &bdquo;Wir&ldquo; und einer Vielfalt an Perspektiven und F&auml;higkeiten.
 
 
 Du bist Absolvent:in oder beabsichtigst, in K&uuml;rze dein Studium zu beenden? Unser Trainee-Programm im Team
 
 Consulting - Artificial Intelligence &amp; Data
 
 ist dein perfektes Sprungbrett in eine Karriere mit Fokus auf datengetriebene Transformationen mit Unterst&uuml;tzung von k&uuml;nstlicher Intelligenz. Sichere unseren gemeinsamen Erfolg und mach mit uns den Unterschied: als
 
 Trainee Cloud &amp; Data / Artificial Intelligence &amp; Data (m/w/d)
 
 .
 
 
 
 Hard Facts f&uuml;r deinen Einstieg:
 
 
 
 <ul>
 <li>
 Beginn: 01.10.2026
 </li>
 <li>
 Dauer: 12 Wochen Trainingsprogramm in unbefristeter Festanstellung
 </li>
 <li>
 Bewerbungsschluss: Sonntag, den 02.08.2026
 
 
 </li>
 </ul>
 Standorte:
 
 Berlin
 
 
 , D&uuml;sseldorf
 
 
 , Frankfurt (Main)
 
 
 , Hamburg
 
 
 , Hannover
 
 
 , K&ouml;ln
 
 
 , M&uuml;nchen
 
 
 und Stuttgart
 
 .
 
 
 
 Dein Impact:
 
 
 
 Als Trainee Cloud &amp; Data (m/w/d) bist du bereit f&uuml;r den Einstieg in die Unternehmensberatung mit Schwerpunkt Cloud &amp; Data Analytics. Nach Abschluss deines zw&ouml;lfw&ouml;chigen Trainings nimmst du nahtlos den Weg ins Projektgesch&auml;ft und nutzt deine erlernten F&auml;higkeiten, um Mehrwert f&uuml;r unsere Kunden zu schaffen.
 
 
 <ul>
 <li>
 Verantwortung: F&uuml;hre Artificial Intelligence &amp; Data Projekte im Team zum Erfolg und begleite ihre L&ouml;sung vom strategischen Design bis hin zur technischen Umsetzung.
 </li>
 <li>
 Unterst&uuml;tzung: Erarbeite innovative Einsatzm&ouml;glichkeiten von Artificial Intelligence L&ouml;sungen zur Verbesserung der Effizienz und Effektivit&auml;t des Data Management.
 </li>
 <li>
 Gro&szlig;kunden: Arbeite mit prestigetr&auml;chtigen Kunden an der Analyse und Aufbereitung von multi-strukturierten Datenbest&auml;nden.
 </li>
 <li>
 Innovation: Du erlernst die modernsten (Cloud-) Technologien f&uuml;r datengetriebene Transformation und bereitest dich mit umfassenden Trainings auf Zertifizierungen in f&uuml;r dich interessanten Cloud-, Datenmanagement oder Automatisierungstechnologien auf den Berateralltag vor.
 
 
 </li>
 </ul>
 
 Dein Skillset:
 
 
 
 <ul>
 <li>
 Abschluss eines Studiums in (Wirtschafts-)Informatik, (Wirtschafts-) Ingenieurwesen, Wirtschaftswissenschaften mit Informatikbezug oder vergleichbaren Studieng&auml;ngen
 </li>
 <li>
 Erste berufliche Erfahrungen durch Praktika oder Werkstudentent&auml;tigkeiten, idealerweise in der Unternehmensberatung im Umfeld von Analytics, Gen AI und Cloud Technologien
 </li>
 <li>
 Programmierkenntnisse in Python, SQL, Java oder Scala sowie optional Frameworks wie Spark und Databricks
 </li>
 <li>
 Interesse an der teamorientierten, agilen Projektarbeit und am Einstieg in die Unternehmensberatung
 </li>
 <li>
 Reisebereitschaft sowie Deutsch (C1) und Englisch sehr gut in Wort und Schrift
 
 
 </li>
 </ul>
 
 Deine Chance:
 
 
 
 <ul>
 <li>
 Spannende Aufgaben in einem innovativen Umfeld mit hochmotivierten Kolleg:innen, die sich schon jetzt auf deine Impulse freuen
 </li>
 <li>
 Gute Rahmenbedingungen mit attraktivem Gehalt und zahlreichen Zusatzleistungen, z. B. Firmen-Smartphone zur privaten Nutzung, Fahrradleasing und Corporate Benefits
 </li>
 <li>
 Work-Life-Balance durch Mobile Working &amp; Teilzeit, EU Remote Working, Sabbaticals, Mitarbeiter:innen-Events, Well-being Angebote wie z. B. Gesundheitstage, Kooperationen mit Fitness-Anbietern und den Familienservice, der dich bei privaten Herausforderungen unterst&uuml;tzt
 </li>
 <li>
 Exzellente Weiterbildung an der Deloitte University, in On- und Offline-Seminaren und im Rahmen der Berufsqualifikation, z. B. durch folgende Schulungen: &bdquo;Microsoft Azure Data Engineer&ldquo; und &bdquo;Google Cloud Platform Data Engineer&ldquo;
 </li>
 <li>
 Vielf&auml;ltige Gestaltungsspielr&auml;ume und aktive F&ouml;rderung einer inklusiven Unternehmenskultur &ndash; u. a. durch unsere Diversity &amp; Inclusion Mitarbeiter:innen-Netzwerke
 
 
 </li>
 </ul>
 
 Bist du bereit? Mach mit uns den Unterschied!
 
 
 
 Unser Recruiting-Team freut sich auf deine Bewerbungsunterlagen (CV sowie Abitur-, Hochschul- und Arbeitszeugnisse) &uuml;ber unser Online-Formular. Ein Anschreiben und ein Bewerbungsfoto sind bei uns nicht erforderlich.
 
 
 
 Gleiche Chancen f&uuml;r alle:
 
 Wir freuen uns &uuml;ber Bewerbungen von Menschen, die so vielf&auml;ltig sind wie wir &ndash; unabh&auml;ngig von Alter, Behinderung, ethnischer Herkunft und Nationalit&auml;t, Geschlecht, Religion, sexueller Orientierung oder sozialer Herkunft.
 
 Noch Fragen?
 
 Alle Infos zu unserem Bewerbungsprozess findest du in unseren
 
 
 Bewerbungs-FAQs
 
 .
 
 
 
 
 Dein Kontakt bei Fragen rund um Karrierethemen
 
 
 
 Unser Team Talent Acquisition &ndash; Aleksandra, Anja, Julia, Lea, Lisa, Silja und ihre Teams &ndash; unterst&uuml;tzt dich gerne bei allen Fragen rund um deine Karriere bei Deloitte. Du erreichst uns per E-Mail unter career@deloitte.de oder telefonisch unter +49 211 87724111.
 
 
 Job-ID: 50167
 
 
</div>

Trainee Cloud & Data - Dein Einstieg in Artificial Intelligence & Data (m/w/d)

Xenon7

<div>About us:
Where elite tech talent meets world-class opportunities!
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today&rsquo;s most complex challenges.
We are building a community of top-tier experts and we&rsquo;re opening the doors to an exclusive group of exceptional AI &amp; ML Professionals ready to solve real-world problems and shape the future of intelligent systems.
Location: Remote (Europe - CET) 
Experience: 5+ Years
Project Duration: ~ 2 months (B2B contract) 
Availability: Immediate Joiner
Role Overview
We are seeking a visionary and highly skilled Senior Data Scientist to lead the development of a cutting-edge document intelligence and discovery platform. This unique role sits at the intersection of advanced Generative AI, Machine Learning, and Cheminformatics. Your primary mission will be to solve a highly complex unstructured data challenge: transforming scanned PDF documents containing intricate chemical structures into highly searchable, interpretable, and actionable knowledge bases.<ul><li>
Architect Document Intelligence Solutions: Design and implement advanced Machine Learning and Deep Learning models to parse, extract, and interpret text and complex chemical structures from unstructured, scanned PDF documents.</li><li>
Develop LLM &amp; Retrieval Systems: Build and optimize Large Language Model (LLM) applications, leveraging vector databases to enable semantic search, advanced data interpretation, and retrieval-augmented generation (RAG).</li><li>
End-to-End ML Pipelines: Own the entire machine learning lifecycle, including data preprocessing (specifically for chemical data and OCR outputs), model training, evaluation, deployment, and post-deployment monitoring.</li><li>
Bridge Chemistry &amp; AI: Apply your chemistry domain knowledge to translate molecular structures, diagrams, and chemical data into machine-readable formats, embeddings, and actionable insights.</li><li>
Cloud Architecture &amp; Deployment: Deploy scalable, secure, and production-ready AI/ML pipelines within the AWS ecosystem, ensuring high availability and performance.</li><li>
Cross-Functional Collaboration: Partner closely with software engineers, data engineers, and domain experts to integrate ML models into the core product architecture and align with business goals.</li></ul> 
Requirements 
<ul><li>
Professional Experience: 5+ years of proven experience working as a Data Scientist, with a track record of delivering production-grade machine learning models.</li><li>
Domain Expertise: A strong background in Chemistry, Cheminformatics, or a highly related scientific field, with a demonstrated ability to interpret and manipulate complex chemical structures and data types.</li><li>
Core Technical Stack: Advanced proficiency in Python and deep hands-on experience with the AWS cloud stack (e.g., SageMaker, Lambda, S3, EC2).</li><li>
Generative AI &amp; Search: Practical, hands-on experience working with LLMs (fine-tuning, prompt engineering, or API integration) and vector databases (e.g., Pinecone, Milvus, Weaviate, or Qdrant).</li><li>
ML/DL Mastery: Robust experience in model development, validation, deployment, and evaluation framework tools (e.g., PyTorch, TensorFlow, Scikit-Learn).</li><li>
Document Processing (Plus): Prior experience with Computer Vision, Optical Character Recognition (OCR), or Document AI systems is highly desirable given the scanned PDF focus.</li><li>
Soft Skills: Strong analytical problem-solving skills, excellent communication, and the ability to thrive in a highly collaborative, cross-disciplinary project environment.</li></ul> 

Benefits 
At Xenon7, we're not just building AI systems&mdash;we're building a community of talent with the mindset to lead, collaborate, and innovate together.<ul><li>
Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.</li><li>
Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.</li><li>
Flexible &amp; Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes&mdash;not hours. Autonomy, ownership, and curiosity are encouraged here.</li><li>
Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn&rsquo;t just a knowledge-sharing forum&mdash;it&rsquo;s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.</li></ul></div>

Senior Data Scientist - Europe

ALMETRA

<div>Join us in reshaping manufacturing with advanced tech like computer vision and AI!
As a Senior/Staff Robotics Engineer (m/f/d), you will be integral in driving our company's next phase of innovation - automating industrial processes to address the scarcity of skilled labor. We have already proven our ability to optimize processes and increase efficiency, and now we are determined to automate tasks within industrial environments. Your main focus will be on R&amp;D and will involve building and showcasing a demonstrator that utilizes industrial robot arms to automate currently manual tasks.
You have a strong background in state of the art in robotic manipulation, extensive experience in modeling, planning, and controlling robotic systems, as well as applying machine learning techniques to enhance robotic manipulation capabilities.
Your role<ul><li>
Lead R&amp;D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.</li><li>
Work with industry-standard hardware platforms (e.g., ROS-compatible robots, specific sensor suites) to develop and deploy robotic manipulators for real world testing.</li><li>
Develop and implement models for hybrid dynamical systems exhibiting both continuous and discrete dynamic behaviors, specifically in robotic manipulators.</li><li>
Design advanced planning algorithms to optimize manipulation tasks such as pick-and-place operations.</li><li>
Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots.</li><li>
Previously trained RL models in both simulated and real-world environments with continuous action and state spaces.</li><li>
Design and develop middleware and software solutions tailored for robotic manipulation applications.</li><li>
Optimize software architecture for efficient communication between sensors, processors, and actuators in robotic manipulators.</li><li>
Develop perception algorithms for object pose estimation, matching, and instance segmentation to aid in manipulation tasks.</li><li>
Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities.</li><li>
Experience with integration between hardware components, including tactile sensors, force sensors, vision systems (e.g., RGB-D cameras), and depth sensors to optimize communication protocols and data flow for efficient robotic operations.</li></ul>
Your profile<ul><li>
Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field, with a strong emphasis on robotics.</li><li>
Minimum of 1-2 years of experience in robotics research or development.</li><li>
Proven experience in modeling, planning, and controlling hybrid dynamical systems for robotic manipulation.</li><li>
Hands-on experience with machine learning techniques applied to robotic manipulation tasks.</li><li>
Experience with robotic perception technologies and deep learning frameworks as applied to manipulation.</li><li>
Strong programming skills in C++, Python, and familiarity with ROS (Robot Operating System).</li><li>
Experience with simulation tools such as Nvidia Isaac SIM, Gazebo, V-REP, CUDA for robotic manipulation.</li><li>
Proficiency with machine learning libraries like TensorFlow or PyTorch.</li><li>
Fluency in English is mandatory.</li></ul>
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul></div>

Senior/Staff Robotics Engineer (m/f/d)

Zalando

<div><div>Ort</div><div>
Germany - Berlin</div><div>
Vertrag</div><div>
Full time</div><div>
Job-Kategorie</div><div>
Applied Science &amp; Research</div></div>
 <div><div>Junior Applied Scientist (all genders) - B2B Data Science and Algorithms
The ZEOS department is responsible for all partner-facing Zalando Logistics Solutions. We provide a holistic approach to delivering the fulfillment solutions that meet our partner&rsquo;s needs by unifying these services under a single umbrella. We aim to provide our partners with a profitable fulfillment experience, and we see that to do this, Machine Learning, Operations Research, and data-driven solutions will play a pivotal role.
We are seeking a highly motivated Junior Applied Scientist who is fueled by the desire to kickstart their career by building innovative and impactful ML/Optimization systems for our B2B logistics partners. You will join an established team of Senior Applied Scientists and Machine Learning Engineers, working in a cross-functional setup with Product Managers, Data Engineers, and Software Engineers.
The team&rsquo;s focus is helping our B2B partners improve inventory health and order fulfillment efficiency. With guidance and mentorship from senior team members, you will contribute to building various ML/DL forecasting models (demand, returns, lead-times), stochastic inventory optimization solutions, recommendation services, and emerging Agentic AI systems. You will play a key role in a cross-functional team where your eagerness to learn and grow will directly translate into value for our partners!
WHY YOU SHOULD BE INTERESTED&hellip;<ul><li>
Learn and Impact from Day One: You won't be stuck doing busywork. You will be an active scientific partner, working alongside experienced scientists and product teams to define problems and build solutions. Your fresh perspective will help identify new opportunities to create value for our partners.</li><li>
Tackle Complex Scientific Problems with Expert Guidance: This is your chance to bridge the gap between academia and industry. You'll tackle cutting-edge challenges in stochastic inventory optimization, multi-echelon demand forecasting, and recommender systems while receiving the mentorship needed to succeed.</li><li>
Explore Emerging Tech like Agentic AI: As we explore opening up MCP servers to our partners, you will assist in defining how we measure their performance. You will contribute to implementing evaluation frameworks (e.g., LLM-as-a-judge, safety guardrails) to ensure autonomous systems act reliably.</li><li>
Grow into End-to-End Ownership: You will have the opportunity to follow ideas from initial research and prototyping to production. You will learn how to define success metrics, collaborate with engineers to deploy scalable services, and monitor real-world impact on partner KPIs.</li><li>
Drive Impact at a Multi-Merchant Scale: Your contributions will help build platform-level services that scale across hundreds of diverse partners, shaping the future of a more sustainable and efficient e-commerce logistics network.</li></ul> 
WE&rsquo;D LOVE TO MEET YOU IF&hellip;<ul><li>
Educational background in a quantitative field; Masters degree or higher preferred.</li><li>
Up to 2 years of hands-on experience (including internships, working student roles, or significant academic/thesis projects) applying scientific methods to solve complex problems.</li><li>
A solid theoretical foundation and practical exposure in at least one of the following areas:</li><li>
Machine Learning or Deep Learning for time-series forecasting (e.g., LGBM, ARIMA, Prophet, Transformers).</li><li>
Operations Research and Optimization (e.g., stochastic inventory models, linear/integer programming, Monte Carlo simulations).</li><li>
Machine Learning Engineering basics (e.g., understanding of git, batch processing, basic software testing).</li><li>
Agentic AI &amp; MCP evaluation frameworks</li><li>
Proficiency in SQL and Python, with some exposure to working with datasets.</li><li>
Strong communication skills with the ability to explain scientific concepts clearly and a desire to learn how to communicate effectively with business stakeholders.</li><li>
A collaborative, growth-oriented mindset. You have a passion for learning by doing and are not afraid to ask questions.</li><li>
You thrive in our team's core value: &ldquo;High Challenge, High Support&rdquo;! We cherish an open, direct feedback culture and are here to help you develop into a world-class scientist.</li></ul>
INCLUSIVE BY DESIGN
At Zalando, our vision is to be the leading pan-European ecosystem for fashion and lifestyle e-commerce - one that is inclusive by design. We only assess candidates based on qualifications, merit, and business needs. We welcome applications from people of all gender identities, sexual orientations, personal expressions, racial identities, ethnicities, religious beliefs, and disability statuses. We only want to know why you're great for this role, so please avoid including your picture, age, and marital status in your CV as well.
We want to provide you with a great candidate experience. Please feel free to inform us of any accommodations you may need, so we can best support and assist you throughout the hiring process.
do.BETTER - our diversity &amp; inclusion strategy: https://jobs.zalando.com/en/our-culture/diversity-and-inclusion
OUR OFFER<ul><li>
Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.</li><li>
Employee shares program</li><li>
40% off fashion and beauty products sold and shipped by Zalando, 30% off Lounge by Zalando, discounts from external partners</li><li>
2 paid volunteering days per year</li><li>
27 days of vacation a year to start for full-time employees</li><li>
Family services, including counseling and support</li><li>
Health and wellbeing options (including Wellhub, formerly Gympass)</li><li>
Mental health support and coaching available</li><li>
Drive your development through our training platform and biannual peer-to-peer review</li></ul></div><div>
Recruiter
Casimir Udegbunam
casimir.udegbunam@zalando.de</div><div>
 Nach der Pr&uuml;fung werden unsere Recruiter*innen &uuml;ber eine offizielle Zalando E-Mail-Adresse (@zalando.de) Kontakt aufnehmen.
In einigen F&auml;llen arbeiten wir auch mit einer Auswahl von Headhunter*innen und Agenturen zusammen, um bestimmte Positionen zu besetzen. Bitte beachte, dass weder Zalando noch unsere Rekrutierungspartner*innen irgendeine Art von Bezahlung verlangen, um sich f&uuml;r eine Stelle zu bewerben oder an einem Vorstellungsgespr&auml;ch teilzunehmen.</div></div>
 <div></div><div><div><div><h2 class="jobSectionHeader">&Uuml;ber Zalando</h2>
Zalando wurde 2008 in Berlin gegr&uuml;ndet und ist die f&uuml;hrende europ&auml;ische Technologieplattform f&uuml;r Mode und Lifestyle. Wir verbinden 62 Millionen aktive Kund*innen mit mehr als 7.000 Marken in 29 M&auml;rkten. Unser Gesch&auml;ft basiert auf einer einzigartigen, KI-gest&uuml;tzten Daten- und Infrastrukturplattform. F&uuml;r unsere Kund*innen bietet unser Multi-App-Ansatz &ndash; bestehend aus Zalando, ABOUT YOU und Lounge by Zalando &ndash; ein inspirierendes, hochgradig personalisiertes Einkaufserlebnis. F&uuml;r unsere Partner bauen wir das Betriebssystem f&uuml;r den E-Commerce. &Uuml;ber ZEOS, Tradebyte und SCAYLE &ouml;ffnen wir unsere Logistik-, Software- und Servicekapazit&auml;ten f&uuml;r Marken und Einzelh&auml;ndler*innen zur nahtlosen, grenz&uuml;berschreitenden Skalierung ihres Gesch&auml;fts.</div></div></div>

Junior Applied Scientist (all genders)

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