**Company: Adobe Job Description Summary: Adobe is seeking a Machine Learning Engineer to use Generative AI and Machine Learning to improve software development. The ideal candidate will have a PhD or MS in Computer Science, 5-10 years of research experience, and proficiency in programming languages such as Python, Scala, and Java. Adobe values diversity and equal opportunity employment. Job Description: Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Adobe is looking for a Machine Learning Engineer from mid to senior level to use Generative AI and Machine Learning techniques to help Adobe better understand, lead, and optimize how we develop our world class applications. Partnering with Adobe development teams across the company, the successful… candidate will be building models that allow us to both understand and improve the very nature of software development What you’ll Do • Partner with development teams across the company to collate appropriate datasets • Design and build applications powered by generative AI, that allow us to mine insights from these datasets that improve the overall engineering culture across the company. • Engage in the product lifecycle, design, deployment, and production operations. • Provide technical leadership in everything from architectural design and technology choices to holistic evaluation of ML models. What you need to succeed The ideal candidate will have the following background: • PhD or MS degree in Computer Science, Data Science or related field required. • 5 to 10 years of applied research experience in software industry/academic research with experience in developing, evaluating ML models, and deploying models into production. • Deep understanding of statistical modelling, machine learning, or analytics concepts, and a track record of solving problems with these methods; ability to quickly learn new skills and work in a fast-paced team. • Proficient in one or more programming languages such as Python, Scala, Java, SQL. Familiarity with cloud development on Azure/AWS. • Fluent in at least one deep learning framework such as TensorFlow or PyTorch. • Experience with LLMs and emerging area of prompt-engineering. • Recognized as a technical leader in related domain. • Experience working with both research and product teams. • Excellent problem-solving and analytic skills • Excellent communication and relationship building skills. Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees
Company:Adobe
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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.
