Company Overview:

Brexit. Climate Change. Veganism. Me-too. Issues from the global economy to geopolitical dynamics are continually evolving in a chain reaction of events. It’s almost a cliché by now to cite rising unpredictability as a major concern for global businesses. From the far-reaching effects of elections and geopolitical instability to the daily impacts of shifting regulations and consumer interests, global trends increasingly impact business decisions that impact the bottom line.

As the world enters into a state of chaos, we have tended to focus on the things that are right there in front of us in our own echo chambers, while ignoring the massive composite forces that actually change and shape our lives and the world around us.  There’s so much information out there today that none of us can plausibly consume and make sense of it. How does one make sense of the future while cutting through the noise? 

At CTRL Global, we aim to provide the most accurate representation of discrete issues facing companies, municipalities, and institutions,  to provide prescriptive insights to help guide decisions on actions and resource allocations. As a machine learning engineer at CTRL, you will work on predicting trends spanning an array of categories and issues.

PS we are early-stage and recently raised a round of financing from a very strong and supportive group of investors. As we are still in stealth mode, please apply to find out more about our mission and work.

Position overview

Join us and help bring our feature ideas (and your own!) off the whiteboard and into reality. As a Machine Learning Engineer, you will research improvements in data collection, feature engineering, and algorithmic optimization. You will also work on implementing your models in production systems and data pipelines.

• Draw from a broad background of data-mining techniques in mathematics, statistics, information technology, machine learning, data engineering, the design of experiments, visualization, and text mining to discover insightful patterns in data.
• Using NLP techniques to normalize, and infer structure from, unstructured place data from disparate sources
• Work with the team and ensure availability of all relevant datasets and thorough understanding and exploration of data; create documentation on the entire process
• Carrying out statistical and mathematical modeling, create forecasting models

Qualifications

• Masters (preferred PhD degree) in Computer Science or related technical field or equivalent practical experience
• 2+ years of work or educational experience in Machine Learning.
• Strong knowledge of ML techniques including both supervised and unsupervised learning, classification, regression, and optimization
• Proficiency in statistics
• Experience working with large, complex and diverse data sets from a variety of sources
• Ability to collaborate with a diverse set of engineers and data scientists
• Superb written and verbal communication

 CTRL is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law