101 to 125 of 158 Remote TensorFlow Jobs

with the AI/ML hardware stack (e.g., GPUs, TPUs, data center design) Familiarity with the AI/ML software stack (e.g., CUDA, PyTorch, TensorFlow, Ray) Experience working on AI research, ML model training, or model deployment Experience with securing AI systems Education Requirements RAND is hiring multiple Visiting More ❯

You care about agile software processes, data-driven development, reliability, and disciplined experimentation You have experience and passion for fostering collaborative teams Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus Experience with building data pipelines and getting the data you need to build and More ❯

You care about agile software processes, data-driven development, reliability, and disciplined experimentation You have experience and passion for fostering collaborative teams Experience with TensorFlow, pyTorch, and/or Google Cloud Platform is a plus Experience with building data pipelines and getting the data you need to build and More ❯

The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes More ❯

AND EXPERIENCE Required A degree in a related field - i.e Comp Sci, AI etc. Proficiency in tools and programming languages for AI development - Python, TensorFlow, PyTorch etc. At least 2-3 years experience in Gen AI, preferably in a similar industry Excellent communication skills A desire to contribue something More ❯

The ideal candidate (Python, scikit-learn, Kubernetes, AWS) will work in autonomous, cross functional teams entrusted with business-critical platforms. Desired Skills ⚙️ Python, Java TensorFlow, scikit-learn, PyTorch Kubernetes MLOps AWS Benefits 🏖 Hybrid working Regular team events If you are a skilled Machine Learning Engineer (Python, scikit-learn, Kubernetes More ❯

AND EXPERIENCE Required A degree in a related field - i.e Comp Sci, AI etc. Proficiency in tools and programming languages for AI development - Python, TensorFlow, PyTorch etc. At least 2-3 years experience in Gen AI, preferably in a similar industry Excellent communication skills A desire to contribue something More ❯

Nice to Have: Familiarity with real-time or embedded systems Exposure to game engines (e.g. Unity or Unreal) Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) This is a rare chance to help shape a pioneering product at the intersection of sport, technology and entertainment. If you thrive in More ❯

Nice to Have: Familiarity with real-time or embedded systems Exposure to game engines (e.g. Unity or Unreal) Experience with deep learning frameworks (e.g. TensorFlow, PyTorch) This is a rare chance to help shape a pioneering product at the intersection of sport, technology and entertainment. If you thrive in More ❯

with robotics, embedded systems, or IoT or edge devices. Experience with software engineering for manufacturing on industrial control. Familiarity with machine learning libraries (e.g., TensorFlow, PyTorch). Background in AI algorithms and hardware-accelerated computing. This is an expanding company who will give you the opportunity to shape software More ❯

frameworks. Provide guidance to less experienced front-end engineers. • General knowledge of machine learning and reinforcement learning concepts, frameworks, and environments, such as Pandas, TensorFlow, and Jupyter Notebook. • Broad knowledge of the general features, capabilities, and trade-offs of common data warehouse (e.g. Apache Hadoop); workflow orchestration (e.g. Apache More ❯

with real-time implementation, and/or validation & verification is a strong advantage Experience in Matlab, Simulink and/or Stateflow, Python including PyTorch, TensorFlow, Open AI-Gym/Universe or Model Based Design, would be desirable We encourage our IAS Engineers to cultivate a broad and in-depth More ❯

with the AI/ML hardware stack (e.g. GPUs, TPUs, data center design) Familiarity with the AI/ML software stack (e.g. CUDA, PyTorch, TensorFlow, Ray) Experience working on AI research, ML model training, or model deployment Experience with securing AI systems Education Requirements RAND is hiring a Research More ❯

some of these, but if not we'll help you with them: Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Relational, document, or graph database systems Software configuration and deployment e.g. Ansible Please More ❯

Engineering, or Data Science. Hands-on experience designing and implementing ML models in production. Expertise in blockchain, cryptocurrency, or financial analytics. Proficiency in Python, TensorFlow, PyTorch, or similar frameworks. Excellent communication skills and the ability to work in a fast-paced environment. This role is fully remote and cannot More ❯

and structured technical documentation for both internal and external use. Key skills required: Solid background in Python, Linux, and Git. Experience in deep learning (TensorFlow, Keras, PyTorch) and statistical validation of medical devices. Fluent in English and French. If this sounds like the kind of opportunity you've been More ❯

and optimization. Benchmark, analyze, and improve AI workload performance. Collaborate with the hardware team to guide architectural decisions. Extend support to additional frameworks (e.g., TensorFlow, ONNX). Produce developer documentation and resources. Requirements: 5+ years of experience in AI/ML software development. Deep understanding of PyTorch internals and More ❯

help upskill teams in AI tech. What They’re Looking For Solid AI/ML experience with a strong grasp of Python & frameworks like TensorFlow/PyTorch . Strong back-end engineering skills (Python or Node.js, bonus points for React/front-end experience). Experience deploying AI models More ❯

a recent graduate, in Computer Science, Electrical Engineering, AI, or a related field Skilled in Python and familiar with machine learning libraries (e.g. PyTorch, TensorFlow) Comfortable working with multimodal data, or eager to learn (e.g., audio, video, 3D spatial data) Reliable, detail-oriented, and capable of working independently Excited More ❯

a recent graduate, in Computer Science, Electrical Engineering, AI, or a related field Skilled in Python and familiar with machine learning libraries (e.g. PyTorch, TensorFlow) Comfortable working with multimodal data, or eager to learn (e.g., audio, video, 3D spatial data) Reliable, detail-oriented, and capable of working independently Excited More ❯

projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets Skilled in More ❯

projects Solid background delivering AI/ML projects end-to-end, with real business impact Hands-on Python skills including libraries like Scikit-learn, TensorFlow, Keras, and PySpark Strong understanding of model deployment and MLOps best practices Ability to work with real-world, unbalanced and messy datasets Skilled in More ❯

to the AI research community. Experience 10+ years of hands-on experience in AI development . Proven expertise in computer vision , including frameworks like TensorFlow, PyTorch, Keras, or similar . Strong experience with machine learning using cloud AI tools from Google, Amazon, Microsoft , and others. Experience in deploying AI More ❯

understand technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible More ❯

understand technology impact. Requirements 2+ years experience deploying ML models in production. 4+ years software engineering experience. Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch). Experience with cloud platforms, preferably Google Cloud. Strong communication and collaboration skills. Benefits Competitive salary and equity package. Comprehensive health insurance. Flexible More ❯