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About the Role We are looking for a Python Software Engineer to join our engineering team and work at the intersection of software development, machine learning, and embedded systems. The primary focus of this role is…
Research and optimize deep learning models for edge AI platforms using quantization, model compression, and efficient inference techniques in PyTorch and ONNX Runtime.
Builds the real-time runtime and infrastructure for Phantom AI’s ADAS vision system, ensuring deterministic performance across automotive ECUs and developer environments.
inviol is one of New Zealand's fastest-growing startups, on a mission to save lives by turning AI insights into safer worksites. We plug into the CCTV cameras a business already has, spot the risky moments no one…
Build and deploy AI features for banking platforms, leading from prototype to production while ensuring regulatory compliance and cross-team adoption.
Lead the perception team at a cutting-edge robotics startup, defining the 3D vision stack for autonomous factories that build aerospace and defense systems. Work with LiDAR, depth cameras, and sensor fusion to enable robots to sense, understand, and act in real time.
Build and maintain AI data pipelines, ETL workflows, and integrate ML components into production systems, focusing on model inference and RAG optimization.
Build benchmarking, forecasting, and data-analysis systems for Apple’s AI inference platform to optimize performance and capacity at massive scale.
Principal ML Engineer at Grab’s AI Platform team, building and scaling ML infrastructure for Southeast Asia’s superapp, including LLM training/serving, fraud detection, and search ranking.
Build and deploy real-time Vision AI and edge-inference systems using PyTorch/TensorFlow, ONNX/TensorRT, and NVIDIA stacks for object detection, video analytics, and multimodal models.
Build and maintain an internal AIOps/ML/LLM platform, including Kubernetes infrastructure, ML workflows, and production deployment for cybersecurity use cases.
Build and optimize scalable training and inference infrastructure for reinforcement-learning AI agents, deploying across cloud and edge with a focus on latency, throughput, and cost efficiency.
Build and optimize low-latency, high-throughput ML inference services for CTR/CVR prediction and generative recommendation using LLMs, focusing on GPU acceleration and end-to-end pipeline optimization.
Builds and scales backend infrastructure for AI-driven recommendation systems and LLM serving platforms in a fintech company.
Build and optimize distributed ML training/inference pipelines for low-latency trading systems using PyTorch, CUDA, and GPU acceleration.
Lead training, alignment, and optimization of large language models using RLHF, SFT, and quantization; build reward models, red-team models, and optimize inference pipelines in Python/C++/Rust.
Lead the design and deployment of AI/ML solutions using Azure ML, OpenAI APIs, and Generative AI for computer vision tasks like object detection and retail shelf analysis.
Build and deploy computer-vision and generative-AI models to track construction progress, validate claims, and improve site visibility for large firms.
Senior ML engineer building perception systems for autonomous maritime robots using computer vision, sensor fusion, and real-time ML pipelines.
Senior DevOps ML Engineer builds and runs AI platforms, splitting time between GPU-accelerated Kubernetes, backend services, and MLOps to productionize LLMs and digital avatars.
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