帮Stanford一位老师的师弟发个招聘信息：

Background:
The data industry worldwide is experiencing a fundamental change in the year　
of 2018. This year, in Europe, the toughest and most sweeping privacy　
regulation law in history, general data protection regulation (GDPR), is　
released on May 25t　h . Together released are its counterparts in United　
States, China, Australia, etc. The intense release of data regulation laws　
globally is no coincidence. Privacy data has never gained so much attention　
by governments as well as individuals, the data subjects. According to GDPR,　
data subjects have the right to know whether, where, and how their private　
data is being used by companies, the data controllers, among other ‘
extremely’ hard to comply rights. The fine can be as high as 4% of data　
controllers’ globally revenue. We believe no companies can 100% comply with　
GDPR and its counterparts at the moment. As a result, we see the flow of　
personal data is being froze both across and within companies worldwide,　
leaving a huge cost liability.


Helios Data Inc.
Helios data is a Silicon Valley originated technology company that focus　
exclusively on secured data collaboration and network data management and　
privacy compliance. Leveraging advanced AI and revolutionary network　
technologies, Helios developed a disruptive technology platform that ensures　
consumer-facing enterprises to be completely compliant with GDPR and other　
data privacy regulations. Teaming up with MIT, Qinghua, University of　
Michigan, Helios created a new CLEAN data marketplace for GDPR compliant　
enterprises, where personal data can be traded freely, openly and profitably　
with unparalleled transparency and security. Therefore, transform GDPR and　
other data privacy compliance from a huge cost and liability into a powerful　
new source of revenue and asset for all data-rich enterprises worldwide.
Please come and join us for an exciting journey together!


Talent we are looking for:
We are looking for a (senior) machine learning engineer who can play an　
instrumental role in the planning, development and delivery of state-of-the-
art machine learning system.


Responsibilities:
As the (senior) machine learning engineer, you play a key role in the　
development of Helios core product, Helios Artificial Intelligence Engine (
HAIE).　Work involves designing, building and testing our machine learning　
system, from distributed data ETL, model designing and building, to　
validation and testing, end-to-end process.


Preferred Qualification:
● PhD/MS in computer science or relevant fields
● 5+ years experience on programing with Python, or Java, or C++
● 1+ years experience with Spark or other big data framework
● 3+ years of experience in building large-scale end-to-end machine　
learning systems
● 3+ years of machine learning practice in industry is highly preferred
● 2+ years experience in NLP related projects
● Familiar with Docker containers
● Ability to collaborate, lead and deliver an end-to-end project in a fast-
moving pace
● Entrepreneurship spirit is highly appreciated


Contact:
Hongyuan Yuan, core founding member, Head of AI @ Helios data Email:　
hoyuan36@heliosdata.com


Perks:
● Stay with our Silicon Valley core team for about half a year
● Direct participation in the development of cutting edge technologies with　
unlimited
growth potential
● Very well capitalized start-up with backing from globally influential　
investors
● Chance to discuss and learn from world-class machine learning professors　
from Qinghua
and University of Michigan.