Optimiert und betreibt die Trainingsinfrastruktur für generative Audiomodelle: GPU-Profiling, verteiltes Training und SLURM-Cluster.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
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.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
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
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
/Preferred Qualifications Your impact: - Architect and implement agentic AI solutions for semiconductor applications - Develop multi-agent s
Erforscht und trainiert Foundation-Modelle für Physiksimulation, kuratiert Simulationsdatensätze und bewertet Modelle gegen Ingenieurs-Validierungsstandards.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
Protect AI models, algorithms, and data from emerging threats.
Definiert die Kamera-Erfassungsspezifikation für Manipulations-Trainingsdaten, baut das Evaluationsframework und trainiert erste Roboter-Policies auf eigenen Daten.
Nebius Science is looking for an AI Science Writer based in the EU.
Warum dieser Job gelistet ist
Ohne KI-Bezug fehlt die Kernaufgabe: Training und Optimierung generativer Foundation-Modelle sind das Arbeitsergebnis selbst.. Prüfverfahren ansehen
In this role, you’ll focus on the full training stack - profiling GPU behavior, debugging training pipelines, improving throughput, choosing the right parallelism strategies, and designing the infrastructure that lets us train models efficiently at scale. You’ll work across cluster management, model training, efficient data pipelines for video and audio, inference and optimizing pytorch code. Your work will shape the foundation on which all of our generative models are built and iterated.
Key Responsibilities - Find ideal training strategies (parallelism approaches, precision trade-offs) for a variety of model sizes and compute loads - Profile, debug, and optimize single and multi-GPU operations using tools like Nsight and stack trace viewers to understand what s actually happening at the hardware level - Analyze and improve the whole training pipeline from start to end (efficient data storage, data loading, distributed training, checkpoint/artifact saving, logging, …) - Set up scalable systems for experiment tracking, data/model versioning, experiment insights. - Design, deploy and maintain large-scale ML training clusters running SLURM for distributed workload orchestration Ideal Candidate Profile - Familiarity with the latest and most effective techniques in optimizing training and inference workloads—not from reading papers, but from implementing them - Deep understanding of GPU memory hierarchy and computation capabilities—knowing what the hardware can do theoretically and what prevents us from achieving it - Experience optimizing for both memory-bound and compute-bound operations and understanding when each constraint matters - Expertise with efficient attention algorithms and their performance characteristics at different scales
Experience in implementing custom GPU kernels and integrating them into PyTorch. - Experience with diffusion and autoregressive models and understanding of their specific optimization challenges - Familiarity with high-performance storage solutions (VAST, blob storage) and understanding of their performance characteristics for ML workloads - Experience with managing SLURM clusters at scale Why Join? - Join at a pivotal moment. We ve secured fresh funding and are gaining traction - now is when your contributions can make a real difference to our success. - True ownership from day one. You ll have genuine autonomy and responsibility.
Your ideas and work will directly shape our product and company direction. - Competitive compensation and equity. We offer strong packages that ensure you share in the success you help create. - Build for the next generation of creators. Be part of the innovation that will transform how creators work and thrive.
We welcome applications from all individuals, regardless of ethnic origin, gender, disability, religion or belief, age, or sexual orientation and identity.
Mirelo AI is building the next generation of creative tools by generating realistic sound, speech and music from video. We develop cutting-edge foundational generative AI models that unmute silent video content and create custom, hyper-realistic audio for gaming, video platforms, and creators. Our technology empowers global storytellers to transform their content.
We recently closed a $41 million Seed round co-led by Andreessen Horowitz and Index Ventures with participation from Atlantic, and are rapidly expanding across Product, Engineering, Go-to-Market, and Growth. About
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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.