Machine Learning Engineer
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Overview We are a group of engineers/researchers responsible for advancing Siri Conversational AI at Apple. Our mission is to build cutting-edge infrastructure, datasets, and models that empower Siri with capabilities across natural language understanding, dialog generation, speech synthesis and recognition, and multi-modal interaction. We apply these technologies to create engaging, intelligent, and personalized conversational experiences for millions of Apple users!We believe that the most impactful breakthroughs in deep learning emerge when we address real-world problems at scale while we preserve user privacy. Siri presents a unique and rich set of challenges-from robust understanding of diverse user intents to fluid, contextual, and trustworthy multi-turn dialog. Join us, and we will take on the challenges to push the frontiers of foundation models and conversational AI!Description On the Siri team, you will work alongside a fast-growing team of extraordinary engineers and, An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to..., The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development..., Location: Cambridge, UK (Hybrid: 3 days on-site, 2 days working home) Start Date: ASAP Duration: 6 months About UsJoin Samsung AI Centre (SAIC) Cambridge, a world-class cross-disciplinary research hub where innovation meets impact. We're at the forefront of AI research,..., The Role As a Senior Product Manager, you will play a key role in driving the growth of Speechmatics' Voice AI portfolio by setting product strategy and direction. You'll work closely with customers, partners, and internal teams to deeply understand market needs, define...
Requirements
scientists to solve core problems in efficient machine learning for effective dialog systems and foundation models-ranging from natural language understanding and multi-turn context tracking, to the integration of speech, text, and other modalities.You will develop and deploy novel deep learning technologies that make Siri more intelligent, natural and useful. You will see your ideas not only published in papers, but also improve the experience of billions of users.As a researcher on our team, you'll help us advance the state of the art technology for speech and multi-modal modeling. With a focus on running advanced models efficiently on server and devices: minimizing latency, preserving privacy, saving energy and bringing your innovations into production.Minimum QualificationsProven expertise in efficient deep learning with publication record in conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying efficient deep learning techniques to productsProficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or TensorflowMasters Degree or PhD in Mathematics or Computer Science, or other technical field, or equivalent industry experiencePreferred QualificationsStrong expertise in machine learning, model compression and algorithm optimization techniquesA track record in software design, coding and parallel computingExperience with large scale machine learning training/evaluationOn-device intelligence and learning with strong privacy protectionsAbility to work in a collaborative environmentAt Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more#J-18808-Ljbffr Similar jobs
Benefits & conditions
Overview Job title: Senior Machine Learning Research EngineerSalary: £64,490 - £86,255Location: Cambridge - Triangle/Hybrid (2 days per week in the office)Contract: PermanentHours: Full Time (35 hours per week)Shape the future of AI-powered learning solutions with Cambridge...