11,393 TensorFlow jobs
Open roles that use TensorFlow for machine learning.
Staff Machine Learning Engineer(TLM), Driver Understanding and Evaluation
Leads development of deep learning and generative AI models to evaluate and improve Waymo’s autonomous driving systems, using large-scale data and ML frameworks like TensorFlow and PyTorch.
Staff Machine Learning Engineer – VLM/LLM
Leads the design and implementation of evaluation systems for large vision and language models used in autonomous driving, building benchmarks to assess model quality, safety, and realism.
Sr. Software Engineer – Generative AI & Assistants, ArcGIS Pro
Build and refine an AI Copilot for ArcGIS Pro using LLMs and embeddings in C#/.NET and Python, collaborating with cross-functional teams to enhance GIS software with generative AI capabilities.
Tech Lead Manager ML Optimization
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo…
Staff Technical Lead Manager, Simulation, Machine Learning
Leads a team developing machine learning models to evaluate and improve autonomous vehicle behavior using deep learning, Gen AI, and large-scale simulation systems.
Automation Engineer, Agentic Orchestration
Designs and deploys AI-driven automation systems that connect agents with enterprise tools like CRMs and ERPs to handle complex, reasoning-based tasks across marketing workflows.
Senior Software Engineer, Machine Learning
Senior machine learning engineer at ZipRecruiter who designs, builds, and maintains ML models over huge job-market data (e.g., predicting salaries for job postings), including data cleaning, model evaluation, and hyperparameter/feature tuning. Core tech: ML algorithms, TensorFlow/PyTorch/scikit-learn, deep learning architectures, and NLP libraries like NLTK, SpaCy, and BERT.
Staff Software Engineer, Machine Learning
Staff-level machine learning engineer at ZipRecruiter who designs, builds, and leads advanced ML projects (e.g., salary prediction) over massive datasets of job postings and job-seeker events, while owning ML system architecture, data pipelines, and mentoring other ML engineers. Core work spans ML algorithms, experimentation, and frameworks like TensorFlow, PyTorch, and scikit-learn.
Machine Learning Engineer
About Ritual Ritual is building a sovereign, execution layer for AI, with our private testnet already live and running. The Ritual chain is the first blockchain custom-built to support AI-native operations, designed…
Machine Learning Engineer - Computer Vision
We are seeking a highly skilled and motivated Machine Learning Engineer specializing in Computer Vision to join our team. The ideal candidate will have a strong background in developing and deploying machine learning…
Senior Product Manager - Software
Senior Product Manager defines the strategy and roadmap for Efficient Computer’s developer platform, including compiler, SDK, and AI/ML tooling, to drive customer adoption and ecosystem growth.
Senior Machine Learning Engineer
This role develops AI/ML models for satellite intelligence processing using Python, PyTorch, and TensorFlow. The engineer will work onsite in Beavercreek, OH on OPIR data exploitation for defense applications.
Machine Learning Engineering Intern
Build and deploy AI models for contact-center agents, focusing on real-time knowledge retrieval and generative responses using Python and deep learning frameworks.
Senior Machine Learning Engineer
Build and deploy LLM-powered AI agents and real-time augmentation systems for contact centers using RAG, multi-agent orchestration, and evaluation frameworks.
Senior Machine Learning Engineer
Build and deploy next-gen AI agents and real-time agent-assist systems using LLMs, RAG, and multi-step workflows to power customer-experience platforms for enterprises like United Airlines and Marriott.
Staff Machine Learning Engineer
Build and lead next-gen agentic AI systems at a Stanford-born AI company, designing scalable LLM workflows, robust evaluation frameworks, and real-time agent augmentation for enterprise contact centers.