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(junior) ai engineer (m/f/d) Jobs in Berlin

(junior) ai engineer (m/f/d)

founding software engineer (backend, cloud & ai infrastructure) Jobs in Berlin

principal machine learning scientist all genders

Bayer

<div>At Bayer we&rsquo;re visionaries, driven to solve the world&rsquo;s toughest challenges and striving for a world where ,Health for all, Hunger for none&rsquo; is no longer a dream, but a real possibility. We&rsquo;re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining &lsquo;impossible&rsquo;. There are so many reasons to join us. If you&rsquo;re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there&rsquo;s only one choice. 


Principal Machine Learning Scientist (all genders) 
You develop novel machine learning algorithms and workflows for protein modeling and design, including protein-protein and protein-ligand modeling. In this global role, you shape the future of drug discovery and collaborate with an international team driving innovative solutions for biomedical research. The position is part of Machine Learning Research and offers you the opportunity to make an impact both internally and externally. 

YOUR TASKS AND RESPONSIBILITIES 
<ul>
<li>You lead the development, evaluation, and application of machine learning algorithms and workflows to accelerate early-stage drug discovery, including de-novo design of biomolecules</li>
<li>You assess target druggability across therapeutic modalities and design drug delivery systems</li>
<li>You identify novel druggable pockets and epitopes and characterize protein-protein and protein-ligand interactions</li>
<li>You implement, validate, and improve machine learning tools and software solutions that support drug discovery</li>
<li>You identify opportunities to accelerate ongoing drug discovery projects through internal and external AI capabilities</li>
<li>You communicate, educate, and engage with stakeholders such as chemists, biologists, computational/data scientists, and R&amp;D leadership</li>
<li>You engage with the broader scientific community through publications, talks, and open-source contributions</li>
<li>You keep up to date with the latest advances in AI-driven modeling of biomolecular structure and dynamics</li> 
</ul>
WHO YOU ARE 
<ul>
<li>You hold a PhD degree in Computational Chemistry/Biology, Chemical/Biological/Molecular Engineering, Computer Science, or a related field with strong capabilities at the intersection of life sciences and computer science</li>
<li>You bring several years of professional experience after your PhD, including initial experience in the industry</li>
<li>You have experience with state-of-the-art machine learning methods for co-folding of biomolecules and de-novo protein design</li>
<li>You are skilled in handling, processing, integrating, and analyzing large datasets related to drug development research, including biochemical, biophysical, and structural biology data</li>
<li>You have experience with established, physics-based protein modeling methods such as Molecular Dynamics and/or Rosetta</li>
<li>You demonstrate strong programming skills in Python</li>
<li>You are committed to scientific rigor, possess strong analytical thinking skills, are highly self-motivated, and have a proven track record of scientific excellence</li>
<li>Excellent written and verbal communication skills in English round off your profile</li> 
</ul>
WHAT WE OFFER 

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us! 
<ul>
<li>We ensure your financial stability with a competitive salary between 104.300&euro; and 126.500&euro; per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.</li>
<li>Whether it&rsquo;s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.</li>
<li>Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.</li>
<li>We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.</li>
<li>We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.</li>
<li>We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.</li>
</ul>
YOUR APPLICATION
This is your opportunity to tackle the world&rsquo;s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination. 

Location: Berlin
Division: Pharmaceuticals
Reference Code: 873348</div>

Principal Machine Learning Scientist (all genders)

<div>
 
 At Bayer we&rsquo;re visionaries, driven to solve the world&rsquo;s toughest challenges and striving for a world where ,Health for all, Hunger for none&rsquo; is no longer a dream, but a real possibility. We&rsquo;re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining &lsquo;impossible&rsquo;. There are so many reasons to join us. If you&rsquo;re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there&rsquo;s only one choice.
 
 
 
 
 Principal Machine Learning Scientist (all genders)
 
 
 
 You lead the development, evaluation, and application of state-of-the-art machine learning models for biomolecular design, target discovery, biomarker discovery, and patient stratification. In this global role, you shape the future of biomedical research and collaborate with an innovative, international team driving digital transformation in research. The position is part of Machine Learning Research and offers you the opportunity to influence both internal and external advancements.
 
 
 
 Your Tasks And Responsibilities
 
 
 
 <ul>
 <li>
 You lead the development, evaluation, and application of biological foundation models, including protein/RNA language models, single-cell and spatial-omics foundation models, as well as multimodal generative architectures
 </li>
 <li>
 You drive the design and implementation of virtual cell and virtual patient models that integrate multi-scale, multimodal biological data to simulate cellular states and enable in-silico patient stratification
 </li>
 <li>
 You identify opportunities to accelerate ongoing drug discovery projects through internal and external AI capabilities
 </li>
 <li>
 You communicate, educate, and engage with a broad set of stakeholders, including biologists, chemists, computational/data scientists, R&amp;D leadership, consortia partners, and the scientific community
 </li>
 <li>
 You keep up to date with the latest advances in biological foundation models, virtual cell/patient modeling, and related fields, publishing and presenting both internally and externally
 </li>
 <li>
 You routinely collaborate with colleagues from R&amp;D and occasionally interact with BD&amp;L, industrial partners, and the academic community
 </li>
 <li>
 You lead initiatives to integrate AI into biomedical research
 </li>
 <li>
 You foster collaboration and knowledge sharing within the team and with external partners
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 You hold a PhD degree in computational chemistry/biology, chem/bioinformatics, chemical/biological/molecular engineering, or a related field at the intersection of life sciences and computer sciences
 </li>
 <li>
 You bring long-term experience in industry and deep expertise with state-of-the-art machine learning methods to model biology, such as sequence-to-function models, nucleotide language models, generative methods, multimodal fusion methods
 </li>
 <li>
 You have hands-on experience with ML-based workflows for biomolecular modelling, perturbation-response prediction, gene regulatory network inference, digital twin modeling, or patient-level phenotype prediction from multi-omics data
 </li>
 <li>
 You are experienced with large-scale biological datasets such as single-cell/spatial omics, bulk transcriptomics, proteomics, imaging, and integrating heterogeneous data modalities
 </li>
 <li>
 You demonstrate strong Python programming skills (e.g. PyTorch, pandas, scikit-learn) and experience in collaborative software engineering according to best practices
 </li>
 <li>
 You bring expertise in modern bioinformatics tools and DNA/RNA biology as well as in agentic AI workflow development
 </li>
 <li>
 You are committed to scientific rigor, possess excellent analytical thinking skills, are highly self-motivated, and have a proven track record of scientific achievement
 </li>
 <li>
 Excellent written and verbal communication skills in English round off your profile
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Our benefits package is flexible, appreciative, and tailored to your lifestyle, because:
 
 What matters to you, matters to us!
 
 
 
 <ul>
 <li>
 We ensure your financial stability with a competitive salary between 104.300&euro; and 126.500&euro; per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
 </li>
 <li>
 Whether it&rsquo;s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
 </li>
 <li>
 Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
 </li>
 <li>
 We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
 </li>
 <li>
 We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
 </li>
 <li>
 We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
 
 
 </li>
 </ul>
 
 YOUR APPLICATION
 
 
 
 This is your opportunity to tackle the world&rsquo;s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.
 
 
 Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
 
 
 
 Location:
 
 Berlin
 
 
 
 Division:
 
 Pharmaceuticals
 
 
 
 Reference Code:
 
 871306
</div>

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)

ABOUT YOU SE & Co. KG

<div>Unternehmensbeschreibung 
Stellenbeschreibung 
Wir suchen einen Principal Backend Engineer (all genders), der Teil der Entwicklung unserer datengetriebenen Systeme wird, insbesondere in einem der Teams f&uuml;r Suche, Empfehlungen und Sortierung. Diese Circles sind in unserem Circle-Cluster &bdquo;Customer &amp; Shop Intelligence&ldquo; eingebettet, das daf&uuml;r verantwortlich ist, ein personalisiertes und inspirierendes Einkaufserlebnis zu schaffen.
Es gibt mehrere m&ouml;gliche Bereiche, in denen du arbeiten k&ouml;nntest. Einer davon ist das Design und die Implementierung von Suchalgorithmen, die Nutzung von NLP-Techniken sowie die Optimierung von Suchergebnissen hinsichtlich Relevanz und Effizienz, um sicherzustellen, dass unsere Suchmaschine hochpr&auml;zise und umfassende Ergebnisse liefert und dadurch die gesamte User Experience verbessert. Eine weitere M&ouml;glichkeit w&auml;re die Arbeit im Zentrum unserer Empfehlungs- oder Ranking-Systeme mit tiefen Einblicken in die dahinterstehenden Algorithmen. Dabei arbeitest du gemeinsam mit anderen Engineers und Data Scientists daran, sicherzustellen, dass die Systeme unsere Kund:innen bestm&ouml;glich bedienen und dabei Geschwindigkeit sowie Empfehlungsleistung optimal ausbalancieren.<ul><li>
Entwicklung intelligenter BI-L&ouml;sungen unter Verwendung von NodeJS mit TypeScript</li><li>
Effizientes Management gro&szlig;er Datenmengen unter Einsatz von Google BigQuery und nahtloser Integration in Business-Intelligence-Systeme</li><li>
Aufbau und Weiterentwicklung hochfrequentierter APIs bei gleichzeitig minimalen Latenzen</li><li>
Enge Zusammenarbeit mit erfahrenen Entwickler:innen, Product Manager:innen, Data Scientists und Analyst:innen zur Verbesserung bestehender Funktionalit&auml;ten und Einf&uuml;hrung neuer Features</li><li>
F&ouml;rderung innovativer Ideen und Entwicklungen, eine flache Organisationsstruktur sowie schnelle Entscheidungsprozesse schaffen viel Raum f&uuml;r Mitgestaltung und Wachstum</li><li>
Gemeinsames Erarbeiten architektonischer Entscheidungen mit unserem Tech Lead und Erkundung neuer Technologien</li></ul> 

Qualifikationen 
<ul><li>
Mehr als 5 Jahre Erfahrung im Aufbau skalierbarer APIs (z. B. mit Node.js, Python oder Go)</li><li>
Praktische und aktuelle Erfahrung mit einer typisierten Programmiersprache (z. B. TypeScript)</li><li>
Fundiertes Know-how im Umgang mit SQL- oder NoSQL-Datenbanken</li><li>
Du schreibst gut strukturierten, effizienten und wartbaren Code und achtest aktiv auf die Qualit&auml;t der Codebasis</li><li>
Du verf&uuml;gst &uuml;ber ausgezeichnete analytische F&auml;higkeiten und Probleml&ouml;sungskompetenz</li><li>
Du bist es gewohnt, in einem englischsprachigen und agilen Umfeld zu arbeiten</li><li>
Du hebst die Qualit&auml;t der Software, an der du arbeitest, auf ein h&ouml;heres Niveau</li><li>
Du &uuml;bernimmst gerne Verantwortung f&uuml;r ein Produkt, identifizierst dich stark damit und bringst eigene Verbesserungsideen aktiv ins Team ein</li><li>
Du etablierst Standards innerhalb deines Fachbereichs sowie in der Zusammenarbeit mit anderen Engineers &uuml;ber Teamgrenzen hinweg</li></ul>
Nice to Have<ul><li>
Erfahrung im Arbeiten mit einem MPP-Data-Warehouse (z. B. Redshift, BigQuery)</li><li>
Erfahrung mit zentralisierten Logging-, Monitoring- und Alerting-L&ouml;sungen (Datadog)</li><li>
Praktische Erfahrung mit Cloud-&Ouml;kosystemen (z. B. AWS, GCP) sowie der Integration von Orchestrierungsdiensten (wie Dagster oder Airflow)</li><li>
Erfahrung mit Elasticsearch oder OpenSearch</li><li>
Erfahrung im Aufbau von Datenmodellen mit dbt</li><li>
Erfahrung im Betrieb von Datenverarbeitungspipelines mit verteilten Datenverarbeitungs-Frameworks</li><li>
Praktische Erfahrung mit Machine-Learning-Modellen oder LLM-basierten Systemen ist von Vorteil</li></ul> 

Zus&auml;tzliche Informationen<div></div> 
Deine Vorteile bei uns auf einen Blick: Besuche unsere Benefits-Seite. 
 
Bewirb dich einfach online &uuml;ber unsere Karriereseite - wir melden uns schnellstm&ouml;glich mit einem Feedback bei dir! 
 
Ein Ort, an dem Du Du sein kannst. 
Wir sehen es als unsere Verantwortung, ein Umfeld zu schaffen, in dem sich alle so willkommen f&uuml;hlen k&ouml;nnen, wie sie sind. 
Unterschiedliche Hintergr&uuml;nde und Perspektiven machen uns st&auml;rker und pr&auml;gen unsere Kultur. 
Wof&uuml;r wir intern stehen, daf&uuml;r stehen wir auch als Marke: Akzeptanz, Inklusion und ein fairerer Umgang mit Mode.</div>

Principal Backend Engineer (all genders)

Siemens

<div><div><div>Transform the everyday</div><div><div><div>
Siemens builds the systems the physical world runs on: factories, power grids, buildings, trains, hospitals. Industrial and physical AI is a major opportunity in applied AI, and one of the harder ones to get right. There is a generation of AI-powered products to build.
We are an applied science organization building the science behind them. The work sits at the intersection of machine learning research, real world data, and production systems running in industrial environments.
As Senior Principal Applied Scientist, you set the scientific direction for the pod. You decide which problems are worth solving with ML, what methods to apply, how to evaluate them, and how to move them from a research result to a model that runs in production. You are accountable for the science: the rigor, the evidence, and the outcomes.
This is a senior individual contributor role. Your impact comes from owning the hypotheses, the evaluation, and the path from research to production, and from raising the scientific bar across the team.<div> 
As part of our team, you will have</div></div></div><ul><li>
An attractive remuneration package</li><li>
Appealing Siemens pension benefits</li><li>
Access to employee share plans</li><li>
30 days of paid vacation and a variety of flexible work schedules that allow time off for you and your family</li><li>
2 to 3 days of mobile working per week as a global standard</li><li>
Up tp 30 days workation per year in certain countries</li></ul>
Since each of over 300,000 team members feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here. 
 
The individual benefits are subject to regulatory, contractual, or corporate conditions. 
You&rsquo;ll make an impact by<ul><li>
Set the applied science roadmap for the pod across the core AI capabilities the product depends on, for example multimodal perception, computer vision, language and agentic reasoning, time series modeling, control</li><li>
Convert product and system requirements into clear research questions, hypotheses, and success metrics</li><li>
Design and own the evaluation and benchmarking frameworks for generative and predictive models, including offline metrics, online experimentation, and robustness testing in industrial conditions</li><li>
Lead applied research projects end to end, from literature review and method selection through experimentation, ablation, and productization</li><li>
Work with engineers to take models into production grade pipelines: data readiness, optimization, inference, observability</li><li>
Influence architectural and system decisions with scientific evidence and tradeoff analysis</li><li>
Identify and de-risk scaling challenges: data quality, model drift, latency, throughput, cost, safety</li><li>
Mentor scientists and engineers on experimentation rigor, reproducibility, and documentation</li><li>
Champion responsible and trustworthy AI: bias detection, model risk management, human in the loop controls</li></ul></div></div><div><div> 
This is how you'll win us over<ul><li>
Education</li><li><ul><li>
Master&acute;s degree or an equivalent qualification in Computer Science, Machine Learning, or a related field</li></ul></li><li>
Experience &amp; Skills</li><li><ul><li>
10+ years in applied machine learning, AI research, or data science, with a track record of models that shipped to production and made an impact</li><li>
Strong foundation in machine learning theory and practice across training, evaluation, and deployment</li><li>
Demonstrated experience setting the science direction for a portfolio of work and shipping it through to production with engineering teams</li><li>
Proficiency in Python and modern ML frameworks and toolchains</li><li>
Track record of building evaluation and benchmarking that the team can run a roadmap against</li><li>
Clear written and verbal communication, with the ability to explain complex ML concepts to engineers, product managers, and senior leaders</li></ul></li><li>
Preferred Qualifications:</li><li><ul><li>
Experience setting science direction across multiple capability areas at the same time</li><li>
Experience bringing applied research into real world products in industrial or physical domains: manufacturing, automation, robotics, energy, mobility, infrastructure, healthcare</li><li>
Breadth across multimodal ML, generative AI, retrieval, agentic workflows, control, or planning</li><li>
Scientific ML for physical systems: surrogate modeling, operator learning, physics-informed ML, geometry-aware ML, differentiable simulation, AI for semiconductor/EDA</li><li>
Experience standing up evaluation, online experimentation, or production monitoring as practices, not just for a single model</li><li>
Publications, patents, open source contributions, or significant internal technology transfers that the field can point to</li><li>
Experience hiring and mentoring senior or staff level scientists</li><li>
Experience working with globally distributed research, product, or engineering organizations</li></ul></li><li>
Ways of working: You set scientific direction, lead with autonomy, and raise the bar for rigor and collaboration across teams</li><li>
Languages: business proficiency in English</li></ul><div>
You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!</div></div></div><div><div> 
Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let&rsquo;s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. 
About us
To transform the everyday, you need to think outside the box. That&rsquo;s why we at Siemens are looking for innovators who aren&rsquo;t afraid to push boundaries to join our diverse team of tech experts. Got what it takes? Then help us create lasting, positive change!
www.siemens.de/careers &ndash; if you would like to find out more about jobs &amp; careers at Siemens.
FAQ &ndash; if you need further information on the application process.</div></div></div>

Senior Principal Applied Scientist (f/m/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

Audible

<div>
 
 Description
 
 
 
 At Audible, we believe stories have the power to transform lives. It&rsquo;s why we work with some of the world&rsquo;s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
 
 
 
 About This Role
 
 
 
 As an Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including Machine Learning (ML), Artificial Intelligence (AI) and Generative AI, Natural Language Processing (NLP), Reinforcement Learning (RL), real-time and distributed systems.
 
 
 
 About You
 
 
 
 Your work will focus on inventing or adapting scientific approaches, models, and algorithms driven by customer needs at the project level. You will develop components and/or end-to-end solutions that are deployed into production or directly support production systems, delivering consistently high-quality work that meets both scientific and engineering best practices. You will develop reusable science components and services that resolve architecture deficiencies and customers&rsquo; pain points, while making technical trade-offs for long-term/short- term. You will work semi-autonomously to deliver solutions, contribute to research papers at peer-reviewed venues when appropriate, and document your work thoroughly to enable others to understand and reproduce it. Your decision-making will consistently incorporate robust, data-driven business and technical judgment. You will collaborate with other scientists to raise the bar of both scientific and engineering complexity for the team and to foster valuable scientific partnership opportunities to help/guide science decisions. We work in a highly collaborative, fast-paced environment where scientists, engineers, and product managers work to test and build scalable foundational capabilities, as well as customer facing experiences. You will have the opportunity to innovate and think big within your projects scope, implement optimization services and algorithms, and influence the experiences of millions of customers. We are looking for a results-oriented Applied Scientist with deep knowledge in ML, NLP, Deep Learning, GenAI, and/or large-scale distributed computation.
 
 
 As an Applied Scientist, you will...
 
 
 <ul>
 <li>
 Understand use cases across the business and adopt/extend/design/invent solutions/models that are scalable, efficient, and automated for difficult problems that are not well defined
 </li>
 <li>
 Work closely with fellow scientists and software engineers (at Audible and Amazon) to build and productionize models, deliver novel and highly impactful features
 </li>
 <li>
 Review models of peers for the purpose of reducing and managing risk to the business, while improving customer experience
 </li>
 <li>
 Design, develop, and deploy modeling techniques and solutions for Content Understanding, Recommendations, GenAI-based product features, by employing a wide range of methodologies, working from simple to complex
 </li>
 <li>
 Contribute to initiatives that employ the most recent advances in ML/AI in a fast-paced, experimental environment
 </li>
 <li>
 Push the boundary of innovation
 
 
 </li>
 </ul>
 
 About Audible
 
 
 
 Audible is the leading producer and provider of audio storytelling. We spark listeners&rsquo; imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of building models for business application experience
 </li>
 <li>
 PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
 </li>
 <li>
 Experience in patents or publications at top-tier peer-reviewed conferences or journals
 </li>
 <li>
 Experience programming in Java, C++, Python or related language
 </li>
 <li>
 Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
 </li>
 <li>
 MSc + 5ys of relevant experience, or PhD +1 year in one of the following disciplines: Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field
 </li>
 <li>
 3+ years of experience in Deep Learning, Natural Language
 </li>
 <li>
 Processing/Understanding, GenAI and/or Reinforcement Learning
 </li>
 <li>
 Proficiency in Python, SQL, and other scripting languages
 </li>
 <li>
 Experience employing and innovating with LLMs/GenAI to solve complex problems
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience using Unix/Linux
 </li>
 <li>
 Experience in professional software development
 </li>
 <li>
 Experience with building Recommendation Systems
 </li>
 <li>
 Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
 
 
 </li>
 </ul>
 Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
 
 
 m/w/d
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Audible GmbH - B38
 
 
 Job ID: A10450357
</div>

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