**Company: emotion3D Job Description Summary: The company emotion3D is looking for a Deep Learning Engineer to work on new DL-based software solutions for human analysis and interaction in autonomous driving. The ideal candidate should have strong software engineering practices, be proficient in programming languages such as Python and C++, and have experience in working with Deep Learning Frameworks like Tensorflow. A university degree with a machine learning context and at least 3 years of professional machine learning experience are required. The position offers a competitive salary, flexible working hours, and the opportunity to work in a young and motivated team in Vienna. Applicants must have EU-citizenship or a work permit for Austria. Job Description: Do you want to join an exciting venture that is shaping the future of autonomous driving? Use your expertise and know-how for solving innovative challenges in driving safety, user experience and automation within a highly motivated team of experts. As a Deep Learning Engineer on the emotion3D team, you will work on new DL-based software solutions for human analysis and interaction (e.g. distraction monitoring, gesture control). With your knowledge you will shape the usage of artificial intelligence in the automotive industry and contribute to safety and assistance solutions for drivers and passengers. Your responsibilities: • Stay up-to-date and review latest advances in Deep Learning for Computer Vision applications • Develop, train, and optimize state-of-the-art AI algorithms • Collaborate on new learning frameworks and techniques • Deliver models to our core engineering team to be deployed on a range of embedded devices Your skills: • Strong software engineering practices and… being very comfortable with Python programming, debugging/profiling, and version control • Strong experience in working with at least one Deep Learning Framework (e.g. Tensorflow) • Practical experience in Deep Learning, ideally in the area of image processing • Strong understanding of the under the hood fundamentals of deep learning (layer details, backpropagation, etc). • Working knowledge of C++. • Goal-driven and analytical, structured, and independent approach to work • Being comfortable in cluster environments and understanding the related concepts (CPU/GPU interactions/transfers, latency/throughput bottlenecks during training of neural networks, CUDA, pipelining/multiprocessing, etc) is a plus • Experience in optimizing deep neural networks to run efficiently on embedded devices is a plus • EU-citizenship or work permit for Austria Your qualifications: • University degree (BS, MS, PhD) with machine learning context, e.g. Computer Science or similar • 3+ years professional machine learning experience Our offer: • A position in a young and motivated team • An active role in shaping the future of AI on the edge • Exciting tasks and steep learning curves on challenging industry projects • Flexible working hours • A modern office environment in a central location in Vienna • Regular team activities • Healthy snacks • A competitive salary fitting your expertise and qualification You are interested? Please send us your application! We are looking forward to meeting you
Company:emotion3D
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Level of experience (years):Senior (5+ years of experience)
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
