…Computer Science, Engineering, Mathematics, or a related field - Knowledge of machine learning model architecture and inference - 3+ years of full software development life cycle…

…modeling, prosody and expressiveness, controllability, multilingual speech, voice identity and consistency, data and training strategy, post-training, and inference performance — and make sure they…

…You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks . As a contributing member…

…we deliver product requirements to customers while maintaining safety and performance Investigate factors in model training and inference leading to bottlenecks in functionality and…

…Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. And we are seeking engineers to work…

…Experience with Machine Learning (ML) hardware accelerators and ML inference software. Preferred qualifications: PhD in Computer Engineering, Computer Science, or a related field. 2…

…This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This…

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another…

…optimization, ML compiler tuning, distributed inference and training, or ML kernel authoring and optimization - Experience working with open-source software communities in the optimization…

…code reviews, source control management, build processes, testing, and operations experience - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles…

…About the team The team is comprise of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with…

…computer science or equivalent - Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques Our inclusive culture empowers…

…and in training/inference systems such as Ray, vllm/SGLang Solid grounding in engineering fundamentals and enterprise system design Preferred qualifications, capabilities, and skills…

…for data ingestion, feature engineering, training, and inference. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. Preform rapid prototyping…

…for data ingestion, feature engineering, training, and inference. Collaborate with other researchers/engineers on artificial intelligence, machine learning, and computer vision. Preform rapid prototyping…

…flow through training and inference pipelines Build secure automation through Python, AWS-native services, and policy-as-code frameworks Own complex security projects end…

…training or inference tooling (e.g., Ray, TensorRT, vLLM) is a plus. Familiarity with search, recommendation systems, conversational engines, or related domains. Strong communication…

…training, evaluation, and production deployment — with a focus on quality, reliability, and measurable business impact. Collaborate cross-functionally with software engineers, computer vision engineers…

…training-data and RAG poisoning, model extraction, model inversion, membership inference, and adversarial examples / evasion. Build scalable AI red teaming tooling and automation (custom…

…committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic trains and serves Claude across…

…inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering…

…You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more. Enterprise Readiness: You’ll make…

…inference use cases. - Ensure efficient scaling across different stages of the Data pipeline in a heterogeneous environment. - Building data loading solutions for production training…

…What will help you stand out (Nonessential Skills/Nice to Haves) Software engineering or computer science background with the ability to write functional code…

…Build and lead an engineering team to innovate, invent, implement, and deploy complex software solutions. Unlock roadblocks at corporate level and cultivate collaboration with…