m********u
发帖数: 3942 | 1 【 以下文字转载自 JobMarket 讨论区 】
发信人: missingyou (miss), 信区: JobMarket
标 题: 西雅图D轮一亿美金融资Startup-Machine Learning Manager
发信站: BBS 未名空间站 (Thu Aug 9 16:36:01 2018, 美东)
公司：西雅图D轮一亿美金融资Startup，主要业务为跨境转账汇款
要求：machine learning工作经验6年以上，产品经验以及leadership能力
感兴趣站内或者email jobopening666 AT gmail.com
We are looking for an exceptional Engineering Manager for our Machine
Learning Team to unlock the full potential of our data and leverage the
power of machine learning to make a difference in the organization. The Data
Team is a fast paced environment where you will work on high-impact
exciting projects to enhance our customer experience, marketing efficiency,
and operational excellence.
In this role you will:
You will formalize the horizontal Machine Learning Chapter. You will figure
out how to set the standards that will be used by all the machine learning
efforts across the company.
As a leader, you will sweat the details by getting directly involved in the
machine learning models to understand the team’s processes. As a result of
that insight, you will set a vision for how the machine learning discipline
will evolve long-term. You will also develop models as a player-coach for
the team.
As a leader, you will kick off the virtuous cycle of evaluating machine
learning opportunities, influencing other business unit leaders to sponsor
these opportunities and form and hire the teams to build those data products.
Hire and develop exceptional Machine Learning Engineers to build out the
models moving forward.
Successful candidates should have:
An MS in Computer Science, Applied Math or related Engineering fields (PhD
is a plus)
5+ years of work experience building production ready systems, with at least
2+ years applying statistics, exploratory data analysis and machine
learning that resulted in data-driven business impact.
At least 2 years of hiring and developing exceptional people, offering
technical expertise and guidance and to elevating the overall expertise of a
team.
Solid knowledge of both the theory and application of ML algorithms.
Proficiency with systems design and data processing. Candidates should have
hands on experience with Python and ML libraries (e.g., scikit-learn, scipy,
numpy, matplotlib, pandas etc), SQL, Scala, Spark, Hadoop.
Strong knowledge of professional software engineering practices and best
practices for the full software development life cycle, including coding
standards, code reviews, source control management, build processes, testing
, and operations.
Ability to present complex concepts in a clear narrative that influences
stakeholders to take action.
You are curious, love to continuously improve and exhibit the aptitude to
learn quickly.
You love making a difference. | m********u
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