1 to 25 of 631 Deep Learning Jobs

Our work involves a variety of technical hurdles, such as analyzing petabytes of multimodal driving data, solving optimization problems, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for prediction and motion planning. We are looking for driven and … improving mobility for everyone through human-centered automated driving solutions for personal and commercial applications. WHO ARE WE LOOKING FOR? The Behavior team is searching for a skilled Machine Learning Engineer to support the entire lifecycle of machine learning models. This role involves developing and optimizing machine learning systems, including performance tuning, model development, and developing infrastructure … transform libraries and dataset management, contributing to metrics and metrics pipelines, and integrating models into our on-vehicle software. This is an opportunity to design and implement innovative machine learning models for our next-generation autonomous vehicle platform, which will impact millions of Toyota production vehicles. We are seeking individuals who are passionate about self-driving car technology and More ❯

to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Machine Learning Engineer, Recommendation System Do you want to join a Machine Learning team committed to personalizing the PlayStation experience for hundreds of millions of users? We deliver impactful ML … models and systems that serve an increasingly dynamic and personal experience! The Machine Learning Engineers within the DTIS group will deliver optimized interactions across PlayStation experiences and systems by designing, coding, training, deploying, and evaluating very large-scale machine learning systems. We are looking for someone who can build delightful products and experiences for millions, in an agile … you will be immersed in groundbreaking ML technologies, tools and processes, as you help to advance our technical objectives and architectural initiatives. You Will: Design and develop various machine learning and deep learning models and systems for high-impact consumer-facing applications such as content personalizations and product recommendations. Work with a broad spectrum of state-of More ❯

Sr Data Scientist with GenAI & NLP - Hybrid on site Minimum Qualifications: CLIENT PREFERS A PHD - Work or educational background in one or more of the following areas: machine learning, computational linguistics, deep learning, ratification intelligence, data science and/or data analytic, generative AI, symbolic AI, causal AI, operations research, computer science, Mathematics, business analytics, or knowledge …/Python, Linux, and Spark in AWS cloud environment, or knowledge and algorithmic design experience in Python (3+ years) Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow Experience with image processing models such as Coco, CLIP, ResNet or comparable models Demonstrated experience with machine learning techniques … and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs. Strong skills in developing GraphRAG, Chain of Thought (CoT), Tree of Thought (ToT), Reinforcement learning and AI development architectures with Human-in-the-Loop (HITL Demonstrated experience with SQL and any relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive More ❯

ABOUT FLOVISION SOLUTIONS FloVision Solutions is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production processes to reduce food waste, improve QA, and enhance staff skills, using proprietary hardware and software to solve customer problems. FloVision Solutions is a U.S.-based Series A startup … with a remotely distributed team across the USA, UK and Ireland. POSITION OVERVIEW As a Machine Learning Engineer at FloVision Solutions, you will be responsible for designing, building, and testing deep learning features for our applications. You will support our current team in bringing commercial ready software to market. We describe this role as an ML Engineer … opportunities. We are looking for someone to design, build and optimize FloVision's computer vision applications. You will be a founding engineer working on state-of-the-art machine-learning infrastructure and models, with an emphasis on data integrity and validation of results. You will have the chance to touch all parts of the production and experiment with the More ❯

Detection & Time Series Analysis - Hybrid on site Minimum Qualifications: Work or educational background at minimum of a Master's degree in one or more of the following areas: machine learning, computational linguistics, Fraud Analysis, Time series Analysis, deep learning, ratification intelligence, data science and/or data analytic, generative AI, symbolic AI, causal AI, operations research, computer …/Python, Linux, and Spark in AWS cloud environment, or knowledge and algorithmic design experience in Python (3+ years) Proficient with Amazon AWS Sagemaker, Jupyter Notebook and Python Scikit, Deep Learning, Machine Learning tools such as TensorFlow Experience with image processing models such as Coco, CLIP, ResNet or comparable models Demonstrated experience with machine learning techniques … and GenAI tools. Experience with LoRA, LangChain, RAG, LLM Fine Tuning and PEFT, Knowledge Graphs. Strong skills in developing GraphRAG, Chain of Thought (CoT), Tree of Thought (ToT), Reinforcement learning and AI development architectures with Human-in-the-Loop (HITL Demonstrated experience with SQL and any relational database technologies, such as Oracle, PostgreSQL, MySQL, RDS, Redshift, Hadoop EMR, Hive More ❯

Machine Learning Engineering Manager | Computer Vision | Deep Learning | Python | C++ | London, Hybrid We are seeking an Engineering Manager to join our Applied Machine Learning team , focused on delivering innovative experiences and insights for coaches, athletes, and fans. This role leads high-impact initiatives using advanced computer vision and deep learning technologies at scale—powering … on experience in building, maintaining, and monitoring complex AI/ML systems operating in production at scale. Technical Proficiency : Strong experience in several of the following domains: Classical and deep learning-based computer vision Multi-view geometry GPU-accelerated computing Edge inference Large language models (LLMs) Real-time systems Signal processing Excellent Communication : Ability to explain complex technical … professional life, including generous vacation policies, company holidays, meeting-free days, and remote work options. Autonomy and Ownership : A culture that encourages individual ownership, open communication, and innovation. Continuous Learning : Access to career development resources, professional growth opportunities, and internal mentorship. Optimized Work Environment : Supportive, well-equipped workspaces—whether remote or in-office—designed to help you do your More ❯

position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact … technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and … and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in More ❯

About the role We are seeking a highly motivated Machine Learning Engineer to join a start-up engineering team working in stealth mode. The ideal candidate will have a solid background in machine learning, deep learning, and artificial intelligence, and a strong interest in developing scalable and efficient machine-learning models. As a Machine Learning … be involved in cutting-edge projects aimed at providing data-driven solutions and delivering valuable insights for our organization and customers. What you'll do Develop and deploy machine learning models, algorithms, and solutions to solve complex business problems. Collect, preprocess, and analyze data to derive valuable insights and patterns for model training and optimization. Collaborate with cross-functional … teams to understand business requirements and translate them into machine-learning solutions. Implement and optimize machine learning pipelines, ensuring scalability, reliability, and efficiency of the models. Experiment with various machine learning algorithms, techniques, and frameworks to improve model performance and accuracy. Stay updated on the latest trends in machine learning, AI technologies, and incorporating innovative approaches More ❯

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and extend healthspan. By providing members with a deep understanding of their bodies, behaviors, and daily lives, WHOOP empowers healthier choices and peak performance. We are seeking a Staff Data Scientist to join our Foundation AI team. This team builds the multimodal foundation models … driving the research, development, and deployment of large-scale multimodal models. You'll collaborate closely with data scientists, ML engineers, and cross-functional partners to push the boundaries of deep learning and ensure our models deliver measurable value to WHOOP members. RESPONSIBILITIES: Design, train, and optimize large-scale multimodal foundation models that integrate wearable sensor data, text, biomarkers … and behavioral data. Conduct applied research in self-supervised learning, representation learning, and downstream task fine tuning to advance WHOOP's core model capabilities. Develop scalable, distributed training pipelines for large models on high-performance compute environments. Collaborate with MLOps, data engineering, and software engineering teams to operationalize models for production deployment, ensuring robustness, reproducibility, and observability. Partner More ❯

develop, test, and build high-performance AI/ML systems, including tailored preprocessing and inference pipelines optimized for NVIDIA Morpheus and comparable platforms. This role requires strong expertise in deep learning frameworks, GPU acceleration, and parallel computing, along with experience in developing neural networks and other machine learning models to solve complex challenges. Responsibilities AI/ML … TensorRT) for GPU acceleration to enhance model performance. Develop efficient, modular, reusable, and scalable AI/ML workflows for deployment in production environments. Model Development & Optimization Build and optimize deep learning models using frameworks such as PyTorch, JAX, TensorFlow, and ONNX. Apply knowledge of machine learning algorithms, including tree-based models, neural networks, clustering, and unsupervised learning. … deploying large language models (LLMs) such as Llama or Mixtral in production and air-gapped environments, with focus on optimization, integration, and secure operations. Strong hands-on experience with deep learning frameworks (PyTorch, TensorFlow, JAX, ONNX). Expertise with NVIDIA CUDA and TensorRT for GPU acceleration. Proficiency in Python, C/C++, and shell scripting for AI/ More ❯

AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

AI Foundations) At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity … to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs … source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or More ❯

a Senior AI Engineer at Emburse, you will drive design and implementation of artificial intelligence inference applications and products using a variety of approaches including foundation models (GenAI), agents, deep learning, neural networks and other machine learning techniques to help build the future of a completely automated invoice and expense management lifecycle. You will also be responsible … you will be responsible for designing, developing, and deploying AI solutions that further automate expense and invoice management processes and solve complex optimization problems. By combining expertise in machine learning, deep learning, and data science; you will create systems capable of learning and adapting over time leveraging production feedback mechanisms. Collaborating with cross-functional teams, the … Emburse AI engineer will build and train machine learning models, develop algorithms, and integrate AI systems into existing software and infrastructure. In addition to technical responsibilities, the Emburse Senior AI engineer will play a strategic role by identifying opportunities for AI applications and driving innovation across the enterprise. You will work closely with data scientists, software engineers, and product More ❯

model stack to facilitate Waymo's scaling across multiple platforms and cities. You have: Bachelor's degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience. 3+ years of experience in Machine Learning, with a strong focus on deep learning for perception tasks. Deep understanding of state-of … the-art ML techniques, especially those related to multi-class classification, regression, model adaptation and scarce data. Proficiency in at least one deep learning framework (e.g. TensorFlow, PyTorch, JAX). Proficiency in C++ and Python. We prefer: Master's degree or Ph.D in Computer Science or a similar discipline, or an equivalent amount of deep learning More ❯

model stack to facilitate Waymo's scaling across multiple platforms and cities. You have: Bachelor's degree in Computer Science or a similar discipline, or an equivalent amount of deep learning experience. 5+ years of experience in Machine Learning, with a strong focus on deep learning for perception tasks. Deep understanding of state-of … the-art ML techniques, especially those related to multi-class classification, regression, model adaptation and scarce data. Proficiency in at least one deep learning framework (e.g. TensorFlow, PyTorch, JAX). Proficiency in C++ and Python. We prefer: Master's degree or Ph.D in Computer Science or a similar discipline, or an equivalent amount of deep learning More ❯