Software Engineer
As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering pract
As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering pract
To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine le
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
Entwickelt Fine-Tuning- und Post-Training-Pipelines sowie Inferenzbeschleunigungsverfahren für große Modelle und optimiert sie auf eigener Hardware.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
As an AI Engineer, with focus on A/ML-Ops, you ll collaborate closely with our product and tech team to bring AI-driven features reliably in
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions.
Entwickelt Stromrichter der Leistungselektronik und nutzt Deep-Learning-Modelle zur Optimierung von Magnetik, Topologien und Regelung.
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
Build the Market Leader in Satellite Analytics with us at LiveEO Mission of this position (overall summary of the purpose, some comments abo
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
We are looking for an ML Engineer to own the production inference stack for our text-to-speech (TTS) and speech recognition (ASR) models, end to end.
We are looking for an experienced (Senior) AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering practices with cutting-edge AI technologies. You ll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data. This role requires balancing traditional engineering principles with innovative approaches when integrating LLMs and AI throughout our technology stack.
If you love building and refining a dynamic product, this role is for you. Your seniority and experience will be crucial in guiding the multidisciplinary team to make strategic decisions and empowering team members. In particular, you will: - Collaborate within a multi-disciplinary team of product managers, designers, software engineers, machine learning and biomedical scientists. - Design, build, and maintain scalable, reliable AI systems. - Drive technical decisions and provide context-aware solutions for AI systems in biological research. - Leverage and pioneer evaluation methodologies to ensure continuous product improvement. - Experiment with cutting-edge industry solutions—orchestration patterns, fine-tuning, specialized monitoring, feedback loops, etc. - Lead core stack component development focusing on sustainability, scalability, security, reliability, and performance. - Foster team growth by sharing expertise and mentoring colleagues through code reviews, technical discussions, and knowledge sharing. - Participate in a team wise shared on-call rotation.
Example of scope: - Lead Agent Development: Drive the development of Owkin agents and actively contribute to the core components of our platform, K-Pro. - Optimize Analytical Workflows to feed the agents with the data they need when they need it — e.g. analytical DBs (DuckDB), distributed computing (AWS Athena, Trino, etc), integration with data platforms (Snowflake, Databricks, etc). - Deployment and Integration: Manage the seamless integration and deployment of agents within Owkin s broader Data Platform infrastructure. About you Required qualifications / experience: - You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery. - Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds. - Clear and effective communicator who can translate technical complexity into actionable decisions for the team. - Deep understanding of system architecture, infrastructure design, and building resilient distributed systems - including complex analytical workflows. - Extensive experience with production environments: continuous deployment, high availability, observability, and security. - Curiosity and ideally hands-on experience with AI systems — from integrating LLMs to evaluating their performance in real-world workflows. - Passion for user experience and product thinking: you consider not only the system’s internals but how the end user interacts with and benefits from your work. - Proficiency with Claude Code and other AI software engineering tools - Fluent English, both written and spoken. - Stack: Python, Kubernetes, AWS Preferred qualifications/bonus: - Experience working with spatial transcriptomics data. - Knowledge of different technologies for distributed computing, databases, and serialization. - Front-end development experience (although the position is mostly back-end oriented) - Direct experience with data orchestration tools such as Apache Airflow. #LI-MD1
Flexible work organization - Friendly and informal working environment - Opportunity to work with an international team with high technical and scientific backgrounds Recruitment Process & Security - Please complete the form and submit your CV. - Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability. - Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams.
We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process.
Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information: - Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn. - Communication is always through an official Owkin email address (from the. - The Owkin talent team do use platforms such as LinkedIn, however if you have any concern or doubt about this contact, please ask for them to send an email from. They will not occur via Signal, Telegram or Messenger - Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team.
Offers will be extended both verbally and in written format. If you think that you have been a victim of fraud, - Check the identity of the talent team on LinkedIn - Check our senior team on our website - Check the existence of the position on our website: - Notify Owkin s recruitment unit at this address - contact the following authorities: - [FR] - [UK] - [US]
Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have failed. Owkin builds K Pro - an AI scientist for pharmaceutical research and strategic decision-making. K Pro orchestrates a suite of AI skills and tools to decode complex biology, accelerate research, and dramatically increase productivity.
K Pro is built on Owkin’s unrivalled multimodal patient data network, state-of-the-art AI for biology and a decade of experience working with pharmaceutical partners. Position is based in our Paris office or remotely in France, UK, Germany. Please submit your CV in English About
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.