226 to 250 of 425 PyTorch Jobs

inference, and time-series analysis An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch) Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus. You possess proven experience leading data science More ❯

developing and deploying perception algorithms (e.g., object detection, segmentation, tracking, SLAM, multi-sensor fusion) in real-world applications Proficiency in Python and C++ Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and MLOps tools/platforms Communication, interpersonal, and collaboration skills for working in a dynamic, cross-functional environment Company Statements Equal Opportunity Rivian is an equal opportunity employer and More ❯

and we actively support that growth. • Experience shipping real products to customers • ML Design and Deployment: Familiarity with designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT, HuggingFace Transformers, or commercial APIs. • Containerisation: Experience with cloud deployments and containerisation (Docker, Kubernetes, containerd). • Linux: Embedded Linux and kernel development. • Programming Languages: We adopt a flexible More ❯

implementing AI solutions in complex enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React More ❯

high-throughput data pipelines and APIs using Go, Python, or similar. Hands-on NLP experience with both pre-built services (e.g., AWS Comprehend) and custom transformer models (Hugging Face, PyTorch, TensorFlow) with a strong grounding in evaluating NLP models using classification and ranking metrics, and experience running A/B or offline benchmarks. Proficient with MLOps and training infrastructure (MLflow More ❯

across multiple teams. Demonstrable experience designing and building AI-based solutions and/or AI platforms at scale. Familiarity with AI/ML tools, frameworks, and platforms (e.g., TensorFlow, PyTorch, ML Flow, Data Bricks Azure/AWS/GCP AI services). Track record of delivering production-grade AI applications or integrating AI capabilities into existing platforms. Demonstrable understanding of More ❯

Neocloud space. Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking (InfiniBand and More ❯

Neocloud space. Practical knowledge of AI/ML technologies and their applications, including understanding language models (LLMs), and experience with training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. Good understanding of programming/scripting: (e.g., Python, Go) for customizing solutions, creating scripts, or automating tasks. Experience with AI relevant infrastructure, including Networking (InfiniBand and More ❯

Kernel, AI Foundry, or similar. Experience with tools for automated testing and evaluation of AI outputs is a plus. Experience in Python and AI frameworks/tools such as PyTorch and TensorFlow. Core Skills and Qualifications: 6+ years of experience in software engineering, with at least 2 years focused on building or integrating AI/ML solutions. Hands-on experience More ❯

environments. Proficient in machine learning techniques (supervised, unsupervised, reinforcement learning) and deep learning architectures (CNNs, RNNs, Transformers). Strong in Python (required); experience with ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras. Working knowledge of cloud-native AI/ML services on AWS, Azure, or Google Cloud (e.g., SageMaker, Azure ML, Vertex AI). Understanding of AI red More ❯

a Machine Learning Engineer or Data Scientist, with a focus on building and deploying machine learning models. Strong proficiency in Databricks ML and other relevant tools such as TensorFlow, PyTorch, or scikit-learn. Solid understanding of machine learning algorithms, statistical modeling, and data preprocessing techniques. Experience working with big data technologies such as Apache Spark is a plus. Excellent communication More ❯

translate business needs into technical solutions. Requirements At least 3 years of experience in applied machine learning and deploying production models. Proficiency in Python, SQL, and frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial. Ability to adapt quickly to new tools and deliver scalable solutions independently. Familiarity with More ❯

containerisation tools Experience working with APIs for data extraction Desirable Skills Familiarity with big data technologies such as Spark and Kafka Experience with machine learning frameworks like TensorFlow or PyTorch Knowledge of data visualisation tools such as Power BI or Tableau Strong understanding of data modelling and database optimisation Experience with dimensional data modelling Interested in learning more? Apply now More ❯

pre-processing actions, performing analysis, and assessing model performance. • Demonstrated professional or academic experience using Python or R. • Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras. (KEY EXPERIENCE FOR CUSTOMER) • Demonstrated professional or academic experience and proficiency with SQL to include using common table expressions, set operations, aggregated functions and nested subqueries. • Demonstrated More ❯

on experience in both machine learning engineering (training ML models), and who have full-stack SWE experience - both backend and frontend engineering. Ideal candidates should have experience with Python, Pytorch, JS and React and similar frameworks. Responsibilities: Carry out software development and research for designing automated LLM agents for coding, ML engineering and research tasks, including building agent analysis tools More ❯

research focus (PhD or MSc with equivalent industry experience) Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results Ability to read, interpret, and implement techniques from recent academic papers into practical More ❯

a proven commercial experience delivering AI/ML projects end-to-end in production environments Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI More ❯

cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI assistants and agentic tools to maximise impact. Bonus More ❯

cross-functional teams to turn real-world problems into working software. 🛠️ What You Bring: Fluency in Python and strong grasp of ML/DL concepts. Experience with frameworks like PyTorch, TensorFlow, Scikit-learn, and HuggingFace Transformers. Comfort designing production-ready AI systems—optimising for speed, cost, and value. Passion for leveraging AI assistants and agentic tools to maximise impact. Bonus More ❯

or decision-making under uncertainty. Experience working with classified environments or prior service in a government agency (e.g., DARPA, FBI, DHS) or military branch. Proficiency in Python, TensorFlow/PyTorch, and data engineering frameworks. Ideally, You Also Have (Preferred Qualifications): Former U.S. military officer or direct experience supporting federal R&D efforts. Recognized contributions to AI safety, trustworthy ML, or More ❯

ML techniques. Proven ability to extract insights from documents using tools like Apache Tika or PDFMiner. Proficiency in Python and/or R, with hands-on experience using TensorFlow, PyTorch, or similar frameworks. Ability to produce visualizations and qualitative analysis that clearly communicate technical insights. Comfort working with both structured and unstructured datasets in high-stakes environments. Bonus Points For More ❯

machine learning systems Qualifications Strong understanding of machine learning principles, especially in the context of LLMs. Solid proficiency in Python, including machine learning packages like Jax/Tensorflow or PyTorch Experience with large-scale data infrastructure Strong verbal and written communication skills with the ability to work effectively across internal and external organisations and virtual teams. Would be a plus More ❯

to model deployment , Experience with some of the following tools and technologies (or an eagerness to learn): , Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch) , Statistical methods and machine learning (e.g., A/B testing, model validation) , Data pipelining tools like SQL, dbt, BigQuery, or Spark , A strong communicator with the ability to communicate technical More ❯

user personalization for visually impaired individuals Develop AI-powered accessibility solutions Ensure compliance with data privacy and ethical AI guidelines Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn Strong skills in Python, experience with R or JavaScript is a plus Experience with Health data processing - HER, FHIR, Wearable sensor data Knowledge of transformer models (BERT, GPT More ❯

AI technologies, machine learning algorithms, and data science principles. Excellent problem-solving and analytical skills. Ability to communicate complex concepts to non-technical stakeholders. Experience with frameworks like TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, or Google Cloud. Ability to work independently and collaboratively. Skills: Agile Delivery Management Kanban Solutions Architecture What you can expect from us: At More ❯