9 open jobs on The Stack list Deep learning as a key skill. They come from 7 companies in 4 countries, and 9 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Deep learning in its key skills. We do not guess skills from the job title.
What you'll do: Design, develop, and deploy cutting-edge AI solutions with a heavy focus on LLMs and Generative AI; scale and optimize training and inference pipelines and bridge research prototypes to production-ready ML systems. Collaborate with data…
What they ask for: Master's or PhD in a quantitative field with 5+ years of professional Python software development experience and proven production deployment of deep learning models. Strong expertise in PyTorch or TensorFlow, Transformer architectures…
What you'll do: Design and optimize machine learning models for 3D point cloud data, including filtering, registration, and surface reconstruction. Manage end-to-end 3D data pipelines and integrate these solutions into production workflows.
What they ask for: Requires an MS or PhD in a relevant field and 5-7+ years of hands-on experience in machine learning and 3D data processing. Candidates must possess strong Python skills and a solid theoretical foundation in geometry and deep learning…
What you'll do: You will design and develop techniques to compress Large Language Models using quantum-inspired technologies and build LLM-based applications like RAG and AI agents. Additionally, you will conduct performance evaluations, fine-tune models…
What they ask for: Candidates must hold a degree in a relevant field and possess at least 5 years of hands-on experience in training or fine-tuning deep learning models. Proficiency in Python, transformer libraries, and a strong understanding of GPU…
What you'll do: Train, debug, evaluate, and improve computer vision and 3D perception models for ADAS, covering capabilities such as object detection, classification, and instance segmentation. Build scalable data pipelines and use offline perception…
What they ask for: Applicants should have experience building and shipping computer-vision-focused deep learning systems, with strong applied machine learning engineering skills. They should be familiar with 3D perception concepts or pipelines and be…
What you'll do: Develop and productionize large-scale machine learning models to optimize sponsored search, ad allocation, and user engagement. Collaborate cross-functionally with product and engineering teams to conduct A/B experiments and improve ad…
What they ask for: Requires expertise in machine learning techniques such as NLP, information retrieval, or deep learning with a track record of deploying production systems. Candidates must be able to write maintainable code and lead projects from design…
What you'll do: The Data Scientist will own end-to-end machine learning projects from exploration to deployment, focusing on financial crime prevention and credit risk. They will collaborate with cross-functional teams to deliver customer value while…
What they ask for: Candidates must hold a Bachelor’s or Master’s degree in a quantitative field and possess 2–4 years of practical experience in developing production-ready machine learning solutions. Proficiency in Python, SQL, and various modelling…
What you'll do: You will own the end-to-end delivery of model releases, taking them from training through to on-vehicle deployment. This involves debugging performance issues, collaborating with engineering teams, and optimizing models to meet strict…
What they ask for: Candidates must have proven experience improving performance in production systems with tight constraints and strong hands-on experience with PyTorch. Proficiency in relevant toolchains like CUDA or TensorRT and a solid understanding of…
What you'll do: Develop and deploy end-to-end machine learning solutions using NLP and text generation to optimize hotel content and user experience. Analyze user behavior and text performance data to derive actionable insights that inform business…
What they ask for: Requires an advanced degree (MSc or PhD) in a quantitative field and 3+ years of practical experience deploying ML algorithms in production. Candidates must possess deep expertise in Python, SQL, and NLP/LLM technologies.
What you'll do: Develop and productionize large-scale machine learning models to optimize sponsored search, ad allocation, and user engagement. Collaborate cross-functionally with product managers and engineers to conduct A/B experiments and improve ad…
What they ask for: Requires a track record of applying statistical and machine learning techniques to real-world problems, with expertise in search, recommendations, or ads systems. Candidates must have experience training, deploying, and maintaining…
