**Company: Wayfair Job Description Summary: The position requires candidates to be based in Berlin and comply with their team’s hybrid work schedule. Relocation support is provided for candidates with work authorization in Germany. Wayfair is an online retail platform focused on home goods. The company is looking for a Machine Learning Scientist to join the Fraud and Policy Abuse detection team. The role involves building fraud detection models and working closely with other scientists, Product, and Engineering teams. Qualifications include a Ph.D. or Master’s degree with relevant experience, proficiency in Python and SQL. Wayfair offers competitive compensation packages, medical insurance, pension plan, and other benefits. The company values diversity and is an equal opportunity employer. Personal data is processed in accordance with the Candidate Privacy Notice. For more information, visit Wayfair’s website. Job Description: Candidates for this position are required to be based in Berlin and will be expected to comply with their team’s hybrid work schedule requirements. Relocation support is provided for candidates with work authorization in Germany. Please note that immigration sponsorship is not provided. Applicants must be legally authorized to work in Germany without the need for current or future visa sponsorship. Who we are: Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find exactly what they want from a selection of more than 18 million items across home furnishings, decor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery. We are looking for a Machine Learning Scientist to join the Fraud and… Policy Abuse detection team. In this role, you will be responsible for building fraud detection models leveraging state of the art methods including deep learning and graph models. You will work closely with other scientists, as well as members of our Product and Engineering teams, to apply your engineering and machine learning skills to solve some of our most impactful and intellectually challenging problems at Wayfair. What you’ll do: • Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers • Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions • Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on What you’ll bring to the table: • Ph.D. (typically in quantitative fields but also strong candidates with non-STEM backgrounds) with 0-1 years. of experience, Master’s with 2 years of relevant experience or Bachelor’s with 5 years of relevant experience. • Proficiency in Python and SQL • Highly collaborative, team player and great communicator • Intense intellectual curiosity with a strong desire to always be learning What We’ll Gladly Offer: • Highly competitive compensation packages • Medical insurance & pension plan • Commuting schemes • Extensive internal training platform • Health & Sport memberships • Caregiving benefits • Wellbeing Program for our employees and their families • Variety of time off and leave program options • Employee discount for Wayfair purchases • A vast community of ERGs supporting our employees and making Wayfair an inclusive space for us all About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at
Company:Wayfair
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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.
