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Designs and optimizes machine learning models for Cloudflare’s global inference platform, focusing on low-latency serving, reliability, and performance across GPUs and accelerators.
IT-компания GNIVC — партнер государственных компаний и лидеров российского бизнеса, разработчик и системный интегратор крупнейших государственных информационных систем, а также коммерческих решений для налогового…
Develop and maintain production ML/computer vision systems that sort thousands of batteries per hour using PyTorch and OpenCV, integrating with factory hardware while monitoring model performance and collaborating across engineering and manufacturing teams.
Senior ML Engineer on Anduril's Maritime Digital Production team, owning the MLOps infrastructure that turns factory-floor ML prototypes into reliable 24/7 production systems across cloud and on-prem OT environments. Core stack: Python, PyTorch/TensorFlow, Docker/Kubernetes, data pipelines, monitoring and drift detection.
Designs and optimizes the deep learning compiler stack (MLIR, TVM, LLVM) for Quadric's General-Purpose Neural Processing Unit, building lowering pathways from PyTorch/TensorFlow/ONNX down to optimized kernels and partnering with hardware teams on edge AI performance.
An on-site internship in Burlingame, CA working with senior compiler engineers on Quadric's CGC neural network compiler, building and debugging compiler passes (layout selection, memory allocation, code generation) that lower NN IR to C++ for the Chimera GPNPU edge-AI chip. Core tech: Python, C++, IR transformations, and ML compiler frameworks like TVM and MLIR.
Forward Deployed Engineer at Quadric who owns customer evaluations of its Chimera GPNPU edge-AI chip from first technical conversation to design win — porting workloads, profiling, and writing quantized custom kernels in C++/Python, plus building reusable agentic (Claude Code–based) field-engineering tooling. Remote within the US.
AI Engineer at Popai Health (a Team8 venture) who designs and runs data/AI pipelines over healthcare data (medical records, audio) and operationalizes LLMs and agentic workflows in production. Core stack includes PostgreSQL/BigQuery/Snowflake/Spark/Kafka, cloud platforms, Docker/Kubernetes, and LLM serving/agent orchestration.
Design and operate Kubernetes-based GPU infrastructure and AI serving platforms for large-scale model training, inference, and autonomous agents using Python, Go, or Rust.
A hands-on engineer acting as deep technical partner to strategic AI customers: optimizing LLM inference engines (vLLM, TensorRT-LLM, SGLang), tuning KV cache, parallelism, and quantization to hit performance targets, and guiding fine-tuning/post-training pipelines (LoRA, SFT, DPO, RLHF, GRPO) from POC to production, primarily in Python.
Principal ML Infrastructure Engineer at Roblox builds and scales the machine learning systems that power ads and discovery for hundreds of millions of users, using large-scale training, inference, and feature pipelines.
Lead the architecture and implementation of AI-native coding agents inside Roblox Studio, building production-grade systems that plan, execute, validate, and iterate alongside creators.
A PhD research internship at IMC Trading in Chicago focused on deploying machine learning onto custom hardware (FPGAs/ASICs) for low-latency ML inference. The intern owns a research project end-to-end, works hands-on with hardware engineers, and leaves behind a prototype or benchmark using tools like PyTorch/TensorFlow, VHDL/SystemVerilog, HLS, hls4ml, FINN, and Vitis AI.
Skills- AI Engineer + Data Scientist - Lead Work Mode (Onsite / Hybrid / Remote) Hybrid Work Location - Bangalore Years of experience required for this role 8+ Years Mandates :F2F for final round of interview. AI…
Senior iOS engineer at Apple building on-device health AI experiences: designing scalable client-side architectures that integrate LLM agents into iOS apps, with a focus on privacy and on-device performance. Core stack includes Swift/Objective-C (or C++/Rust), SwiftUI, and on-device ML frameworks like Core ML.
Build and deploy production-grade AI systems for edge environments like offshore platforms, mines, and autonomous vehicles, optimizing models for latency, robustness, and security across disconnected settings.
Senior/Lead ML engineer (via HumanIT, a digital consultancy) for a global technology platform, hybrid with 2 days/week in the Lisbon office. Day to day: architecting and shipping production LLM systems — fine-tuning large models, building RAG/vector-search and agentic workflows, evaluation, and MLOps — primarily in Python with PyTorch.
AI infrastructure engineer on a small team optimizing large language model inference end to end — tuning open-source model serving (batching, KV cache, quantization, speculative decoding), writing CUDA/HIP/Triton GPU kernels, and operating multi-vendor accelerator clusters. On-site in San Francisco; $200k-$300k with visa sponsorship.
Senior Solutions Architect role advising DigitalOcean's largest customers on AI/ML cloud infrastructure, including deploying and fine-tuning LLMs (DeepSeek, Llama, Claude), optimizing GPU workloads with CUDA/TensorRT, and designing scalable AI applications using Kubernetes and NFS. Works closely with Sales and Customer Success teams to drive retention and expansion.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset,…
