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THE AI ACCELERATOR Most diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right…
Full Stack Software Engineer Role profile Degree in computer science, a related field or comparable qualification Several years of professional experience developing Angular web applications and Java backbends. To be a…
Who We Are Based in The Romania Excellence Centre, Bucharest - our client is seeking for experienced professionals who value teamwork, pioneering technology, and innovation. People who want to take their careers to the…
Requisition No: 867743 Agency: Justice Administrative Commission Working Title: STATE ATTORNEY'S OFFICE, 4TH CIRCUIT- ASSISTANT STATE ATTORNEY - 21011661 Pay Plan: St.AttorneysJAC Position Number: 21011661 Salary:…
Work Your Magic with us! Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s…
#herzderdigitalisierung sucht #mehrwertgeber:innen Der Fokus der ITSV GmbH liegt in der Digitalisierung des österreichischenGesundheitswesens. Wir steuern und koordinieren die IT-Aktivitäten der Sozialversicherung.…
Teaser Text We are seeking a postdoctoral researcher with a curiosity-driven record who works at the intersection of machine learning (ML) and the sounds of wildlife (“bioacoustics”). We are also happy to consider…
Artificial Intelligence and Digital Research Centre Responsibilities · Build products and MVPs on top of the models. · Fine-tune the models for domain-specific use cases. · Design evaluation pipelines and benchmarks…
KEY ACCOUNTABILITIES (maximum 3 sections and 2000 words for each section) Key Accountabilities (1) AI Craft – Specialization - Apply and evaluate established and emerging algorithms under production constraints;…
At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy,…
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
Staff Robotics Software Engineer at Intrinsic (Google's AI robotics group) in Munich, responsible for developing and deploying industrial grasping and manipulation algorithms end-to-end using C++, Python, and machine learning.
Mid-level Java Developer (hybrid, night shift) in Quezon City building Java-based applications, REST/SOAP web services, and microservices using Java, J2EE, Spring Boot, Kafka, and MySQL on a 1.3-year contract.
WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a…
Develops and validates performance models for AI/ML applications on Apple Silicon, analyzing hardware-software interactions to optimize future hardware architectures and influence next-gen AI/ML systems.
Research Engineer in Reinforcement Learning (RL) at Anthropic develops agentic AI models for autonomous tasks like coding and software generation, advancing Claude’s capabilities while ensuring safety and scalability. Core work spans RL infrastructure, distributed training, and prototype development for internal AI systems.
Build and optimize the reinforcement-learning training infrastructure that lets researchers iterate quickly on model training runs, using distributed systems and ML frameworks like JAX or PyTorch.
The Java Developer will design, build, and test software solutions using Java, J2EE standards, and service-oriented architecture. The role requires expertise in enterprise application security and various application servers like GlassFish or WebLogic.
Lead a team to design and implement advanced AI/ML algorithms for national security applications, focusing on signals exploitation and predictive analytics using deep learning and statistical methods.
Build and own the ML infrastructure that powers Merge Labs’ brain-computer interface research, including distributed training, experiment tracking, and deployment frameworks for molecular design and neuroscience models.
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