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A Staff Machine Learning Engineer focuses on causal inference at DoorDash, building production systems for uplift models, counterfactual evaluation, and connecting experiments with ML to drive decisions across new verticals like grocery and retail.
Designs, builds, and productionizes causal ML systems (uplift models, heterogeneous treatment effect, counterfactual evaluation) for DoorDash's New Verticals (grocery, retail, etc.) to influence marketplace decisions like promotions and recommendations.
Build and lead GenAI-powered recommendation systems that personalize Reddit’s feed for millions of users, shaping core ranking architectures and mentoring senior engineers.
Job Description: Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry, and we’re looking for a Staff Machine…
Reddit is hiring a founding Staff Machine Learning Engineer on its AI Security team to lead the design, training, evaluation, and deployment of ML models that detect AI-related risks like prompt injection and jailbreaks. Day-to-day involves hands-on model development on Reddit's LLM Guardrails Platform using Python, PyTorch/TensorFlow, and distributed training pipelines, plus technical leadership
Staff Machine Learning Engineer at Watney Robotics in San Francisco trains and deploys models for a live fleet of autonomous construction robots, owning datasets, GPU training experiments, and low-latency 24/7 production inference. Core stack: Python, PyTorch/JAX, Triton, and cluster tools like Ray, Slurm, or Kubernetes.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era.…
Robots & Pencils is an AWS Partner building production AI systems for enterprise clients who need real engineering, not proofs of concept that never ship. We work forward-deployed, embedded directly with client…
Staff Software Engineer at Waymo designing and leading evaluation frameworks for autonomous driving simulation, blending C++/Python systems with AI-driven virtual environments to validate realism.
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating…
Develops and improves machine learning models to generate high-fidelity simulation data for autonomous driving, focusing on realistic agent behavior and sensor accuracy.
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.
Build and optimize AI models for edge devices to improve safety and efficiency in physical operations like transportation and logistics using petabyte-scale sensor and video data.
Design and deploy machine learning models to enhance an AI customer support agent, using NLP and deep learning while collaborating with product teams.
The Senior Staff Machine Learning Engineer will lead the development and deployment of Edge AI models for in-vehicle health monitoring and failure prediction. This role involves managing the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and integration with vehicle systems.
The Staff Machine Learning Engineer will lead the development of Edge AI models for in-vehicle health monitoring and failure prediction. The role involves owning the end-to-end ML pipeline, including model training, optimization for resource-constrained devices, and deployment using technologies like PyTorch, TensorFlow, and C++.
Build and deploy AI models that monitor vehicle health in real time using logs, traces, and sensor data, then optimize them to run on resource-constrained edge devices.
About Appier Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission…
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find…
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