Machine Learning Engineer

Charlottesville, Virginia, United States · DS & DE · A 20190903

Description

At CCRi, our clients look to us to solve their hardest problems, and we have a long history of exceeding their expectations. With clients in both the private sector and the US government, we provide a variety of advanced analytical techniques, and we render our solutions in software that our clients can apply immediately.

With projects ranging from optimizing the world's largest container port to predicting future asymmetric warfare events, CCRi has no shortage of experience in diverse client expectations. As a small company, we are able to adjust our process to the requirements of each client.


The Role

You'll help create machine learning analytics that will be integrated into streaming data processing pipelines and appealing user interfaces that provide real-time situational awareness and expose advanced analytics to end users. As a machine learning engineer, your technical responsibilities will include design, research, and development. You will also be expected to contribute to the data science culture and ecosystem at CCRi through opportunities like design reviews and shared learning opportunities.

Who You Are

Our Machine Learning Engineers have some combination of the following skills:


Requirements


Benefits

The Company:

CCRi is a small engineering firm located in Charlottesville, Virginia. We develop and deploy novel machine-learning approaches to real problems at massive scale. Since 1992, we’ve been stopping bombs, predicting piracy, and guiding disaster relief.


CCRi is committed to a diverse and inclusive workforce because we know that our differences benefit our employees, our customers, and our community. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, age, sex, sexual orientation, gender identity, national origin, status as a an individual with a disability, status as a protected veteran, or any other applicable legally protected characteristics.

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