…software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and…

…models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity…

…Architect and implement robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments…

…Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research…

…Collaborate closely with product, ML, and engineering teams to influence roadmap and core platform capabilities. Write clean, maintainable code and build reusable modules to…

…platforms at scale - Familiarity with modern ML infrastructure and data-centric AI approaches - Understanding of how foundation models can be applied to automate data…

…We treat data as a research problem, not an infrastructure problem. Our engineers run experiments, design ablations, and measure how data decisions move model…

…THE OPPORTUNITY Our Training Infrastructure team is building the distributed systems that power our next-generation Liquid Foundation Models. As we scale, we need…

…Collaborate closely with product managers, frontend engineers, and infrastructure teams to deliver scalable and efficient solutions. Continuously improve system reliability, scalability, and maintainability through…

The ML Observability team builds cutting-edge tools to monitor, explain, and improve AI systems in production, particularly those leveraging Large Language Models (LLMs…

…validation - Manage and extend infrastructure, including orchestration and CI or CD for data workflows - Support MLOps as machine learning models are developed and productionized…

…We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise…

…state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every…

…ML systems. As a Platform Engineer in Model Shaping, you will work at the intersection of backend engineering and infrastructure, building the foundational layers…

…THE ROLE The Onboard Infrastructure team builds the software foundation Bedrock's autonomous machines run on, the layer giving Bedrock the ability to scale…

…Applied ML: Experience developing models developed for real-world applications. Infrastructure: Solid technical infrastructure knowledge and experience with low-level engineering (e.g., GCP…

…You will report to our Director of Engineering in our Perception Organization. You will: Develop sensor-fusion foundation models for the Waymo Driver which…

…engineering to solve complex data-related challenges in AI model training. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys…

…production pressure and built platforms, tooling, and infrastructure that other engineers depend on. Familiarity with ML research or transformer architectures is not required -- you…

…As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks…

…teams of researchers or engineers in ML infrastructure or foundational research. - Deep technical expertise in representation learning, embedding models, or vector retrieval systems. - Familiarity…

…software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes, Slurm…

…combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure. As a Senior Backend Engineer, you will play a key…

…component library that empowers all our engineers and designers. By delivering robust, high-quality UI components and infrastructure, you will ensure consistency and excellence…

…and engineers to design ML-driven solutions that improve healthcare delivery and outcomes. Build scalable infrastructure for distributed training of large models (TPU/GPU…