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Summer 2027 internship at Waymo in Mountain View for MS/PhD students on the Model Optimization & ML Runtime team: designing parameter-efficient fine-tuning (LoRA/QLoRA), distillation, and quantization pipelines in Python/JAX/Flax to optimize large Vision Transformer perception models for real-time deployment on autonomous vehicle hardware.
Owns radar/ML stack: simulates radar/SAR data, builds ML pipelines (PyTorch/NumPy), and deploys models on GPU infrastructure for defense applications.
Senior engineer owning LLM post-training for Recho's voice AI agents: design and run SFT, preference optimization and online RL, including reward design, training-data quality and in-house evaluation. Stack: Python, PyTorch, verl/OpenRLHF/TRL, vLLM/SGLang, FSDP/DeepSpeed. Tokyo hybrid, English-speaking team.
Who we are Zus Health is an AI-native healthcare data platform that brings fragmented patient information together to make it complete, current, and actionable. Through our nationwide data network, platform, and…
Builds and optimizes high-performance AI inference systems in C++ to serve millions of users with low latency and high reliability, using GPU engines like vLLM and Triton.
Senior FPGA engineer implementing digital signal processing for software-defined radios on Zynq UltraScale+ MPSoC, using MATLAB/Simulink, VHDL/Verilog, and Xilinx Vivado in a hybrid role based in Boston or Scottsdale.
Software Engineer III on Google's Gemini Encoder-heavy team, building and optimizing production Gemini-based encoder models that power Search, Ads, YouTube, and Gemini Embeddings. Day to day: writing system code, training/fine-tuning Transformer models, and optimizing latency, memory, and compute on GPU/TPU accelerators.
Senior (10+ yrs) role at IT services firm Mphasis to design, deploy, and operate agentic GenAI systems on AWS (Bedrock), covering RAG/Graph-RAG, MCP tooling, LLM fine-tuning, workflow orchestration (Airflow), IaC (Terraform), and LLMOps observability across modern data platforms. Based in Bangalore/Hyderabad; only immediate joiners (max 15-day notice).
Job Purpose We are seeking a dynamic AI Engineer to join our pioneering Agentic AI team. The ideal candidate will possess a strong foundation in delivering projects on both SaaS PaaS based platforms, Prompt…
Applied Scientist building production Generative AI features across Cloud and Edge: optimizing local inference via model compression/quantization and engineering scalable RAG and multi-agent systems. Day to day covers hypothesis-driven research, synthetic data generation, SFT/RLHF/DPO fine-tuning, evaluation and technical reporting, largely in Python/PyTorch/Hugging Face.
Software Engineer focusing on C++ development for AI/ML algorithm deployment on embedded devices and IoT ecosystems. The role involves designing distributed ML inference systems, optimizing performance across hardware, and managing CI/CD pipelines for firmware.
Build and scale dunnhumby’s Enterprise AI Platform, designing production-grade AI systems including RAG, agentic workflows, and LLM-powered services using Python, LangChain, and cloud-native tools.
Normal Computing | Build with Us Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure,…
Software Engineer III on Google Cloud's TPU performance team: manually optimizes open-source ML models (sharding, quantization, custom kernels), builds agentic-AI tooling to automate optimization principles, collaborates with compiler teams on cost modeling, and maintains benchmarks so public Cloud customers get performance recipes for their own models.
Senior Machine Learning Engineer in Amgen's AI Studio (Applied AI) team in Hyderabad, owning AI assets end-to-end — from problem framing and architecture through hands-on model development, MLOps/LLMOps, launch and support. Core stack: Python, SQL, classical ML/deep learning/NLP, GenAI, RAG and agents on cloud data platforms like Spark, Databricks and Kubernetes.
HackerRank is hiring a Deep Learning Research Engineer (hybrid, Bangalore) to research and build advanced neural models and agentic AI systems for its AI-powered hiring platform — including an autonomous AI interviewer, fraud detection, and new ways to evaluate technical skill. Core stack: PyTorch/JAX, novel architectures beyond Transformers (SSMs, LNNs), PEFT fine-tuning (LoRA/QLoRA), distillatio
Farcana is hiring a remote Product Manager (UAE) to own AI infrastructure product areas — model APIs, GPU inference, deployments, routing, observability, and billing — from discovery through launch, measurement, and iteration. Requires 6+ years in product management, including 3+ years on AI/ML or developer platforms.
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals,…
About the Role We are looking for a Senior Data Scientist to develop and apply modern machine learning and artificial intelligence across a range of products and business problems. The ideal candidate combines strong…