Tech Start-up TouchPal Launches an Ambitious Opportunity: $1.5M for AI Engineers

IDC estimated that the A.I. market will grow from $8 billion in 2016 to more than $47 billion in 2020. According to Indeed.com, a job website with one of the highest traffic rates, the average salary of a machine learning engineer is $135,000 annually, whereas the average salary of a software engineer is only $97,000.
a year ago

SAN FRANCISCO and SHANGHAI, Dec. 19, 2017 /PRNewswire

TouchPal, a Shanghai-based mobile software start-up, just announced a global A.I. engineer recruitment campaign, offering an annual package of over $1.5 million to lure A.I. specialists to join the TouchPal team.

The global market intelligence firm, IDC estimated that the A.I. market will grow from $8 billion in 2016 to more than $47 billion in 2020. According to Indeed.com, a job website with one of the highest traffic rates, the average salary of a machine learning engineer is $135,000 annually, whereas the average salary of a software engineer is only $97,000.

The dilemma is insufficient A.I researchers. With a scanty supply, U.S. companies have veered towards the academic field with startling packages. In this scenario, why should A.I. talents lay eyes on foreign start-ups?

According to TouchPal co-founder and chief scientist, Ren, "With a solid foundation of over 100 million daily active users spanning 158 countries and regions, TouchPal's A.I. lab gains a head start with this immense platform in the two disciplines, data and distribution. In addition, our AI labs are equipped with self-designed computer rooms and computing clusters. The large-scale user data computing and storage platform was invented and constructed by TouchPal itself."

As a matter of fact, TouchPal is no stranger to Silicon Valley, where it established its own A.I. lab in Mountain Viewin 2015 and another A.I. lab in Shanghai. With two state-of-the-art A.I. labs located in the East and the West, it's unlikely to miss a beat.

In the blink of an eye, a tech start-up in a developing country has gained an astounding popularity among all walks of life. TouchPal has managed to keep an annual job growth rate over 50%.

TouchPal has also cultivated a partnership with distinguished universities like UC Berkeley. The two emphases are core technology development and intellectual property rights protection (with over 160 patents worldwide).

Source: TouchPal

Illustration Photo: Artificial intelligence (CC0 Creative Commons from Pixabay.com)

Read more

Comments

No comments to display.

Related posts

Continental free trade area to boost e-commerce in Africa

High-level session at UNCTAD's Africa eCommerce Week shows that the continent has the potential to scale e-commerce enterprises - but its new free trade area will be key.

Bayer helps farmers keep sows healthy with new BCS SowDition smartphone application

BCS SowDition enables accurate and standardized body condition scoring of sows in four simple steps, contributing to better health and management.

Call for applications: 2019 Syngenta Crop Challenge in Analytics prize

Corn is one of the world’s most important crops. Each year, breeders create several new corn products, known as experimental hybrids. Corn breeders work to create corn hybrids that can maintain high yield across a wide range of environments.
Application Deadline in a month

Application of the IoT technologies in the poultry chain

The growth of poultry relies on the environment in which the bird feels comfortable, as well as on good-quality feed and water. In this use case, the performance of the poultry production chain is optimised through IoT driven technologies.

New Initiative to Mitigate Risk for Global Solar Scale-up

The World Bank and Agence Française de Développement (AFD) are developing a joint Global Solar Risk Mitigation Initiative (SRMI), an integrated approach to tackle policy, technical and financial issues associated with scaling up solar energy deployment, especially in some of the world’s poorest countries.

Challenges and opportunities of introducing Internet of Things and Artificial Intelligence applications into Supply Chain Management

The study examines the challenges and opportunities of introducing Artificial Intelligence (AI) and the Internet of Things (IoT) into the Supply Chain Management (SCM). This research focuses on the Logistic Management. The central research question is “What are the key challenges and opportunities of introducing AI and IoT applications into the Supply Chain Management?”

Internet of Robotic Things – Converging Sensing/Actuating, Hyperconnectivity, Artificial Intelligence and IoT Platforms

The Internet of Things (IoT) concept is evolving rapidly and influencing new developments in various application domains, such as the Internet of Mobile Things (IoMT), Autonomous Internet of Things (A-IoT), Autonomous System of Things (ASoT), Internet of Autonomous Things (IoAT), Internet of Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc. that are progressing/advancing by using IoT technology.

3D Food Printers Market Driven by Growing Demand for Customized Food

The 3D food printers market is expected to grow at a robust CAGR from 2017 to 2028. This market growth is expected to be driven by factors such as the growing demand for customised food and the development of the industrial sector in this region.

Vision-Based Apple Classification for Smart Manufacturing

In this paper, an accurate data capture approach based on a vision sensor is proposed. Three image recognition methods are studied to determine the best vision-based classification technique, namely Bag of Words (BOW), Spatial Pyramid Matching (SPM) and Convolutional Neural Network (CNN).

Intel Drone Solutions Modernize and Increase Efficiency for US Bridge Inspections

Intel collaborated with two departments of transportation to improve bridge inspections, supplementing manual inspections of the Daniel Carter Beard Bridge connecting Ohio and Kentucky and the Stone Arch Bridge in Minnesota. Throughout the inspections, Intel’s advanced automated commercial drone hardware and software solutions increased efficiency and produced more reliable data in a fraction of the time and cost of traditional methods.