**Company: Neural Concept Job Description Summary: Machine Learning Research Intern position is available at Neural Concept. Responsibilities include developing innovative methods for analyzing engineering data and 3D designs using machine learning techniques. Qualifications include completion (or in progress) of a Master or PhD in a relevant field, experience with Python programming and ML frameworks, and a deep understanding of machine learning and physics. The internship duration is 6 months, with a salary of 3000 CHF/month, and the location is in Lausanne, Switzerland. Job Description: The Research Team Join our dynamic team and be part of a mission to revolutionize product engineering and design. We are research engineers and scientists with strong academic backgrounds and diverse expertise from top-tier ML companies and successful startups, converging at the intersection of engineering, 3D deep learning, and generative AI. We are committed to pushing the boundaries of innovation, tackling complex, real-world problems, and creating cutting-edge solutions that will shape the future of the industry. If you are passionate about making a significant impact and enjoy working collaboratively on transformative technologies, we would love to hear from you. What you will do As a Machine Learning Research Intern at Neural Concept, your mission will be to develop and implement innovative methods for analyzing and understanding engineering data and 3D designs. You will work on practical, impactful projects from ideation through integration into Neural Concept’s product… relying on deep learning and machine learning techniques alongside your own expertise and intuition. While working towards this goal: • You will tackle real-world problems across multiple industries, working with diverse and unique 3D design and simulation data from our customers and partners. • You will contribute to the development of our product, seeing the direct impact of your work on our customers. • You will be part of a highly dynamic, results-driven team that supports you and helps you achieve success. • You will stay current with the latest advancements in machine learning, finding innovative ways to apply cutting-edge methods and other effective techniques to our challenges. Who you are • You just completed (or are in the process of completing) a Master or PhD in Computer Science, Applied Mathematics, Physics or other relevant field. • You have a deep understanding of machine learning and deep learning, and some relevant research or industry experience in these domains • You have strong experience with Python programming and ML frameworks such as Tensorflow or PyTorch. • You have a good physical intuition and understanding of physics. • You are motivated, detail-oriented, enjoy solving difficult problems and willing to engage in unknown territory. • You are pragmatic and result-driven, applying the most efficient and appropriate solution to a problem. • You like to work in a team and want to make a difference in the real world. What you get • Flexible hybrid schedule - we care about what you deliver, not about when you work. • Work with a world-class technology team - our engineers are top-notch. We aim for excellence. • Work with people who care about you - we support each other and care about you so that you can thrive. • The opportunity to be part of a growing company with global ambitions - our product is demanded in all regions of the world. We are growing by following our customers. • The opportunity to contribute to changing the future of engineering - we believe that our product will contribute to changing the future of many industries. • Access to unlimited computational resources. And Important • Internship duration: 6 months • Start date: between now and November 2024 • Location: Lausanne, Switzerland • Salary: 3000 CHF/month • You have a valid work permit in Switzerland or you are a EU national
Company:Neural Concept
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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.
