Staffing Headquarters LLC. Looking for Machine Learning Engineer (Hybrid) at Dallas, TX Full Time

Location(s)

• Sunnyvale, CA
• Champaign, IL
• Chicago, IL
• Hillsboro, OR
• Omaha, NE
• Richardson, TX
• Salt Lake City, UT

It takes powerful technology to connect our brands and partners with an audience of 1 billion. Nearly half of our employees are building the code and platforms that help us achieve that. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process 4 trillion data points a day, what you do here will have a huge impact on our business, and the world. Want in?  Our brands help people stay informed and entertained, communicate, and transact, while creating new ways for advertisers and partners to connect. We’re creators and coders, dreamers and doers creating what’s next in content, advertising, and technology.

A Little About Us

My team is managing and optimizing search ads for global clients by building ads data management platform, and by using data science and machine learning technologies.

Our tech stack ranges from Java, Python, MySQL, React.js, Docker, Kubernetes, Hadoop, Oozie, Splunk, monitoring tools to Tensorflow, Keras, XGBoost and statistical analysis tools.

What We Do and What You’ll Learn

• Develop a platform to manage and optimize web search ads data across multiple web search engines for both global advertisers and Japanese advertisers.
• Build machine learning models using deep neural network, logistic regression, or decision trees to classify queries, generate ads or construct keywords.
• Data mining on ads and user activity data, and analysis of ads performance data.
• Build models to optimize ads performance.

Responsibilities

• Design and develop machine learning models for named entity recognition tagging
• Design and develop models and algorithms for text generation
• Analyze various science problems (especially in the NLP field) and design the solutions
• Investigate the related domain and create solutions for building large training data
• Build machine learning models using different algorithms and compare performances
• Integrate the built models into the production runtime system
• Analyze ads performance data to propose improvements
• Work with sales representatives and customers to identify potential opportunities for business growth

Qualifications

• BS, MS or PhD in Computer Science or related field
• 15+ years of directly related experience of software development and data science or machine learning
• Deep understanding of algorithms, data structures, statistics and machine learning algorithms
• 7+ years of hands-on experiences in NLP (natural language processing) and text mining
• Strong programming proficiency with Java or C++
• High proficiency and experiences in tools and libraries for machine learning and data management, such as TensorFlow, Keras, PyTorch, Scikit-learn, NumPy, SciPy, Pandas
• Strong technical, analytical and communication skills
• High proficiency in scripting language such as Python, and UNIX/Linux environments
• High proficiency in Japanese

U.S. Citizens and those authorized to work in the U.S. without sponsorship will be considered. We are unable to sponsor at this time.