Senior Machine Learning Engineer
Comparex USA · Remote, USA · May 12, 2018
Do you yearn to make a significant impact? Do you enjoy working in fast paced HIPO teams with challenging goals? Are you ready for an experience that will put all of your technical and personal skills to the test?
If this environment appeals to you, we invite you to apply for a new special operations unit reporting directly to the CEO of one of the world's leading global technology solutions provider.
Today we serve our 25K+ clients in 35 countries; providing world-class technical expertise and a commitment to customer service excellence.
This unit will be tasked with creating innovative solutions leveraging the rapidly evolving power of Machine Learning and Artificial Intelligence to provide new insights and value to our customers.
About the Job
As a Senior Machine Learning Engineer, you drive the vision to build and scale our machine learning and experimentation platforms. This is your opportunity to make a big impact - ranging from delivering a personalized customer experience to optimizing advertising spend to improving merchandising efficiencies.
You work on cross-functional initiatives, such as service and container platforms, machine learning platforms, data security, distributed memory services, service monitoring, real-time experimentation, data transformations, and much more.
Your services scale to support high volumes of traffic at low latency and high availability. This is a high profile position that will have exposure across the entire business.
The successful candidate owns the roadmap, features, and design of one or more core services. Responsibilities:
Candidate must be willing to travel domestically monthly for team meetings and training events. Opportunity to work from home (if outside Raleigh area) or relocation if desired. Excellent compensation and benefits package.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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