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Lead the design and development of large-scale deep learning models to predict ad conversions on Pinterest, using text, visual, and user signals while mentoring engineers and collaborating with product teams.
Design and train large-scale computer vision models to power Pinterest's visual search, recommendation, and generative features using multimodal datasets and PyTorch.
Lead a team of ML researchers and engineers to build next-gen recommendation systems at Pinterest, turning cutting-edge research into production-scale solutions that drive core business metrics.
Develop and fine-tune vision-centric large language models for Pinterest’s visual search and generative tools, using computer vision and multimodal AI in a research-driven team.
Principal Machine Learning Engineer at Pinterest designing and improving AI-driven ad delivery systems to connect users with relevant ads, using large-scale e-commerce and computational advertising technologies.
Build and deploy large-scale generative AI models for Pinterest’s visual search and creation tools, focusing on diffusion-based text-to-image systems and multimodal embeddings.
Lead the technical strategy and architecture for content quality signals at Pinterest, using machine learning to enhance trust and safety in content and GenAI systems.
Build and improve large-scale machine learning systems to personalize Pinterest’s recommendation feeds, ads, and search using deep learning and big data tools.
Senior Machine Learning Engineer at Pinterest building personalized recommendation systems using deep learning and large-scale data pipelines to enhance user experiences across Homefeed, Ads, and Search.
Loram is hiring an ML/AI intern in Hamel, MN to help its R&D team build machine learning and computer vision solutions for image processing and data analysis on railroad inspection and maintenance equipment. Day-to-day work involves developing ML/CV algorithms, benchmarking AI vendors, and deploying models using Python, PyTorch, OpenCV, and Pandas.
Staff-level machine learning engineer leading development of bird's-eye-view (BEV) and multi-modal perception models that fuse camera, LiDAR, and radar data for Torc's autonomous truck stack. Day-to-day is BEV transformer architecture design, large-scale distributed training in Python/PyTorch, evaluation, and mentoring — remote in the US or hybrid in Ann Arbor, MI.
Designs and builds intelligent, data-driven backend solutions in Python, with a focus on developing and deploying AI/ML models, especially Large Language Models (LLMs). Day-to-day work spans building APIs and services, data pipelines and storage, and cloud AI integration on AWS, Azure, or GCP.
Sr. AI/ML Engineer at MetroStar Systems supporting a large data project for a highly cleared (government) customer, working in an agile team alongside developers and data engineers on AI/ML solutions.
Rapport IT is hiring a Senior Python Developer (locals only) in Rowlett/Dallas to join a business support team building and maintaining automation solutions for automotive multimedia systems. Day to day involves implementing code changes, testing, debugging, and supporting tool users alongside a lead developer.
Witness AI, an AI security startup, is hiring a Machine Learning Engineer (posting lists Cairo) to build, fine-tune, and evaluate the language models behind its AI security products, owning the full pipeline from dataset curation to production deployment. Stack includes Python, PyTorch, Spark/Kafka/Airflow, cloud platforms, and Docker/Kubernetes.
BrightAI is hiring a Computer Vision Engineer in Palo Alto (hybrid) to own perception for drone-based infrastructure inspection: georeferenced 3D reconstruction (Gaussian splatting, photogrammetry), pose/state estimation (VIO, RTK/GNSS + IMU fusion), and sim environments for autonomy training. Core stack: PyTorch, multi-view geometry, Python, some C++.
Intern ML Engineer opening at Команда Москвы (Team Moscow), the Moscow government's IT program, within its Data/ML/Analytics track. The posting shares few details beyond the title, so this appears to be an entry-level machine learning internship working with data and ML.
Architect and build Cloudflare’s next-gen AI/ML platform, unifying traditional ML and generative AI systems, including LLMs and autonomous agents, while driving end-to-end production infrastructure and cross-team collaboration.
Designs and optimizes machine learning models for Cloudflare’s global inference platform, focusing on low-latency serving, reliability, and performance across GPUs and accelerators.
Leads design, build, and deployment of enterprise AI solutions at Cognizant, working with LLMs, agentic AI, and RAG architectures — including scalable workflow orchestration, memory/state management, and evaluation of AI systems for quality, hallucinations, and regression.
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