Senior Inventive Scientist Network Analytics & Automation

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch, R Programming

Job Description

At AT&T Labs, we are developing the communication networks of the future by creating innovative technologies and by analyzing a variety of big and rich datasets. We invent and build cutting edge technologies that support AT&T’s advanced networks, including technologies to support planning and design of 5G and fiber networks, network operations, network optimization and automation. The challenges that we address provide research opportunities is areas of computer networks, optimization, orchestration, AI, machine learning, data science, data management, geospatial modeling, and network security. The solutions we provide affect tens of millions of consumers, and some of the largest corporations in the world. Many of our scientific discoveries are published in top scientific venues. Visit http://www.research.att.com to learn more about AT&T Labs.

The Network Analytics and Automation group of AT&T Labs is looking for leading scientists to join our team. We are looking for exceptional individuals who have a passion to invent and build novel technologies and provide innovative solutions for one of the largest networks in the world. We are looking for researchers who can think big, explore, invent, and rapidly prototype solutions for challenging real-world problems. Our scientists are expected to be able to work independently, to collaborate with researchers, developers, and customers, and to serve as mentors for new developers and interns.

Outstanding researchers are encouraged to apply. Candidates must demonstrate excellence in one of the following areas: (1) network technologies, (2) data science and machine learning, (3) optimization, (4) data management and Big Data. Relevant areas of expertise include (but not limited to) Computer Science, Computer Engineering, Statistics, Machine Learning, Operations Research, Electrical or Electronic Engineering, and Mathematics. Candidates shall have a PhD from an accredited university. In exceptional cases, we may consider outstanding researchers with a Master's degree from an accredited university and a minimum of 2 years of relevant experience. Candidates are expected to have research experience, a collaborative spirit, strong leadership and communication skills, and hands-on data analytics or software development experience.

Required Qualifications

• Excellence in research and development of innovative solutions, either in academia or industry.
• Strong initiative, communication skills and the ability to conduct independent research, to build an initial prototype, and to benchmark and present findings.
• A demonstrated ability to operate independently, with minimal oversight, and to work as part of a team in collaborative work environments.

Preferred Qualifications

• Hands-on experience and proficiency in common programming languages such as C/C++, Go, Java, Python, JavaScript, etc.
• Hands-on experience in data science and Big Data analytics.
• Experience with frameworks for Machine Learning (Scikit-Learn, Pytorch, Tensorflow, etc.)
• Experience in designing and implementing end-to-end solutions towards Network Automation and optimization.
• Experience in one of the following fields: computer networks, optimization, machine learning, data visualization, Big Data, geospatial applications, parallel computation.

Requirements

• Your curriculum vitae, including your complete academic and professional histories and your publication record.
• At least three (3) and up to five (5) references. Your references will be contacted by email and provided with a URL for uploading their reference letter.
• A research statement (up to 2000 words) describing your current technical specialty and your vision for future work. Please provide any other information that you believe would be helpful in assessing your application.

Work locations will depend on position offered but can be Bedminster, NJ; Middletown, NJ; Plano Texas; San Ramon, CA. 

Job ID 2120670