As a software R&D engineer, you’ll develop cutting-edge You’ll take part in core and applied machine learning research focused on both algorithm development and integration. Transform groundbreaking ideas into revolutionary features. Areas of work include Computer Vision, Data Science, and Deepįind available Computer Vision roles Applied Research Processing algorithms to deep neural network approaches for object detection, always mindful of the balance between algorithm correctness and computational performance. This team works on everything from low-level image Be part of a multidisciplinary team that designs algorithms to analyze and fuse complex sensor data streams. Areas of work include Natural Language Engineering, Language Modeling, Text-to-Speech Software Engineering, Speech Frameworks Engineering, Data Science, and Research.įind available Natural Language Processing and Speech Technologies rolesĬome solve the most challenging problems in computer vision and perception. This team’s research typically relies on very large quantities of data and innovative methods in deep learning to tackle user challenges around the world - in Question answering, topic segmentation, and automatic speech recognition. Join them to work with natural language understanding, machine translation, named entity recognition, This group is a collective of hands-on research scientists from a wide variety of fields related to natural language processing. Areas of work include Deep Learning, Reinforcementįind available Deep Learning and Reinforcement Learning roles Natural Language Processing and Speech Technologies This team dives deep into deep learning and AI research to help solve real-world, large-scale problems. Learning, inverse reinforcement learning, decision theory, and game theory. Join a team of researchers and engineers with a proven track record in a variety of machine learning methods: supervised and unsupervised learning, generative models, temporal learning, multimodal input streams, deep reinforcement Areas of work include Back-End Engineering, Data Science, Platform Engineering, andįind available Machine Learning Infrastructure roles Deep Learning and Reinforcement Learning And this is Apple, so your team will innovate across the entire stack: hardware, software, algorithms - it’s all here. As part of this team, you’ll connect the world’s best researchers with the world’s best computing, storage, and analytics tools to take on the most challenging Machine Learning Infrastructureīuild the rock-solid foundation for some of Apple’s most innovative products. Work together with your Teaching Assistants and the student operations team to ensure our students are learning in a good phase.Find a team and begin your own story here.Focus on developing your own hard and soft skills through work and learning sessions.Participate in the technical interviews of our Academy candidates during the recruitment process.Helping students in team projects that simulate real work-life situations.Supporting our students by providing feedback and mentoring as well as participating in coder review.Provide daily training via Zoom by giving lectures, explaining technical concepts, and giving technical assignments.Our education is aimed to simulate a real work-life experience as much as possible. You’ll work together with our CTO, Head of Education, and Lead Instructor to provide world-class data science and machine learning training that consists of live lectures, hands-on assignments, code review, and guided project work. What's it like to be an instructor at Integrify?Īs an instructor, you’ll help data scientists and machine learning engineers at the beginning of their careers to advance their technical skills. In this role, you’ll get to combine your developer skills with fantastic social goals by teaching and mentoring the next generation of developers. Now, we are looking for new instructors to join the growing education team.
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