FAANG stands for Facebook (now Meta), Amazon, Apple, Netflix, and Google (now Alphabet). All the tech enthusiasts around the world are interested to grab a job in these biggest tech giants who are also popular for their wonderful work environment and best quality of teams. Here are the top 10 deep learning jobs at FAANG companies that you can apply for in 2022.
Location: Bengaluru, Karnataka, India
Amazon's team of high-caliber software developers, applied scientists, data engineers, product managers, and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that the company identifies & fixes the right catalog defect to ensure a good shopping experience for its customers. Amazon is looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making and who will be responsible to help the company hold a high bar for the RBS Data Engineering Team.
Apply here.
Location: Bengaluru, Karnataka, India
The ideal candidate must have deep cross-domain experience. You will shape systems that span some of the most technically challenging domains in software today. Apple's systems intersect the areas of big data, hardware, operations research, analytics & data warehousing, and user experience.
Apply here.
Location: Remote, Netherlands
Facebook is seeking Lead/Senior machine learning engineers to join its engineering team. The ideal person will have industry experience working on a range of classification and optimization problems, e.g., payment fraud, click-through rate prediction, recommendation systems, click-fraud detection, search ranking, text/sentiment classification, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams.
Apply here.
Location: Tel Aviv, Israel
The selected candidate will have to design and develop novel computer vision and/or machine learning algorithms in areas such as real-time scene and object tracking, reconstruction, and understanding as well as, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions, and virtual try-on. They will also have to develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products.
Apply here.
Location: Los Gatos, California
In this role, you will be focused on applied research to develop computer graphics, machine learning, and/or computer vision algorithms that enable storytellers around the world to create unique content that's consumed by our members around the world. The algorithms will enable tools used by artists in virtual production, visual effects (VFX), post-production, and animation, and help them focus on the more creative aspects to achieve the output they desire. You will also develop algorithms that assist creatives in both the early and later stages of content production in aspects such as story visualization and audience understanding. You will partner with the content production teams in Studio as well as the product management and engineering teams to develop and test new models and algorithms.
Apply here.
Location: Los Gatos, California
Data Science and Engineering ('DSE') at Netflix is aimed at using data, analytics, and sciences to improve various aspects of our business. The company is looking for a Software Engineer to join our Games DSE team, supporting end-to-end analytics & data needs for the Games space. This role will be partnering closely with our Game stakeholders to develop software and data solutions that enable analysis across the entire library of games.
Apply here.
Location: Bengaluru, Karnataka, India
Amazon is looking for a passionate, hard-working, talented with the highest quality standard software engineer with experience building mobile applications and test engineering, especially those with high computational demands and taking advantage of mobile cameras. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting-edge products used every day by millions of people. You will be responsible to build mobile application software and test frameworks involving camera APIs and AR frameworks.
Apply here.
Location: Pune, Maharashtra, India
The selected candidate will have to work with customers on production Machine Learning deployments to resolve issues and achieve production readiness, availability, and scale. They will have to manage issues of Google Cloud customers through effective diagnosis, resolution, documentation, or implementation of investigation tools and develop an in-depth understanding of Google Cloud's AI/Machine Learning products/solutions and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer issues. The candidates must also understand customer issues, advocate for their needs with internal Product and Engineering teams, find ways to improve the product and drive production changes. They can further act as subject matter experts for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles to improve Google Cloud and be part of a team of engineers/consultants that globally ensure 24-hour customer support.
Apply here.
Location: Gurugram, Haryana, India
Alphabet is looking for candidates who will work with customers to identify opportunities to apply machine learning in their business. They would also have to design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Artificial Intelligence Platform. They get to manage and grow a team of consultants and engineers and work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions becoming trusted advisors to decision-makers throughout the engagement.
Apply here.
Location: Tokyo, Japan
The Google Cloud Platform team helps customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using technology to connect with customers, employees, and partners. As part of this team, you will deliver training to a mix of customers, strategic partners, and Googlers. While the focus will be on technical training classes, you may at times also support training activities for Marketing events.
Apply here.
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