8 open jobs on The Stack list Computer vision as a key skill. They come from 5 companies in 5 countries, and 8 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Computer vision in its key skills. We do not guess skills from the job title.
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: Own focused machine learning projects end to end, from framing customer problems and selecting build-versus-buy approaches to shipping features in production. Evaluate and monitor performance, investigate failures, gather user feedback…
What they ask for: Requires at least two years of hands-on experience building and shipping machine-learning products, with strong experience in PyTorch or an equivalent framework such as TensorFlow or JAX. Candidates should be able to fine-tune vision or…
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: You will build, scale, and optimize next-generation world model architectures to generate high-throughput synthetic data for autonomous driving. This involves collaborating with researchers and engineers to integrate synthetic data into…
What they ask for: Candidates should have 4+ years of experience in applied machine learning or research engineering with a strong track record of training and shipping neural networks. Proficiency in Python, PyTorch, and a deep understanding of 3D geometry…
What you'll do: Design, build, and operate backend services and data-processing workflows to support large-scale machine learning model execution. Collaborate with cross-functional teams to improve system scalability, reliability, and performance across…
What they ask for: Requires strong production software engineering experience in Python and expertise in designing distributed systems for compute-intensive workloads. Candidates should possess solid system-design fundamentals and the ability to take…
What you'll do: You will design, develop, and maintain high-performance C++ and Python applications for 3D perception and mapping pipelines. Additionally, you will collaborate with the cloud team to deploy applications and mentor junior engineers through…
What they ask for: Candidates must hold a Master's degree or PhD in a relevant field and possess 5-10 years of professional software engineering experience. Expert-level C++ skills, solid Python proficiency, and experience with 3D perception or robotics are…
What you'll do: You will own and evolve the machine learning and AI pipelines for the company's data product suite, including classical ML/NLP and modern LLM components. You will collaborate with data engineers to transition solutions from proof of…
What they ask for: Candidates must hold a bachelor's or master's degree in a quantitative field and possess at least 5 years of experience as a Data Scientist. Practical experience in bringing LLMs into production, along with proficiency in Python, Spark…
