Machine Learning Engineer - Data Science

Arlington, Virginia, United States

Applications have closed

About the Team

STR’s Analytics division researches and develops advanced analytics and machine learning-based solutions to solve challenging problems related to national security. Our team consists of passionate and motivated engineers with advanced degrees in engineering, computer science, mathematics, and data sciences, who are seeking opportunities to use their deep technical knowledge and creativity to tackle some of the hardest problems that our customers face. Our team members produce everything from novel, peer-reviewed research results to robust, deployed capabilities. Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured text, time series, geospatial, and imagery data, and must operate under challenging constraints not typically found in the commercial world. The tools and technologies we develop have real world impact and are used by analysts to extract and enrich intelligence information around the globe.

The Role

In the Machine Learning Engineer – Data Science role, you will develop, implement, and evaluate statistical machine learning algorithms to uncover hidden information and patterns from a diverse collection of massive datasets. You will apply state of the art and novel techniques such as supervised and unsupervised learning, machine learning, and deep learning to problems such as classification, anomaly detection, and forecasting to problems of national security and safety interest. You will develop cutting edge systems and work collaboratively with our software engineers to design and deploy models into production. You will interact with customers to understand requirements and apply iterative feedback to development to respond to their most critical problems. This position is based in-office and applicants should expect to primarily work onsite.

Who You Are

  • Experienced team member who is excited to work with mission partners to leverage cutting-edge research for immediate impact
  • Motivated collaborator who is looking for the opportunity to work with a team of high-end researchers and engineers to develop and deploy cutting edge machine learning solutions
  • Excellent communicator and briefer, who is comfortable communicating with both technical and non-technical audiences
  • Have a deep understanding in range of machine learning methods e.g.: multiple regression, clustering, and classification techniques such as Support Vector Machines, Random Forests, Naïve Bayes Classifiers, and Deep Neural Networks
  • Proficient in one or more high level programming language such as Python, MATLAB, Java, or C++
  • Have a track record of developing, implementing, and evaluating statistical algorithms against real datasets
  • Possess a MS or PhD in a scientific field such as Computer Science, Mathematics, Statistics, Data Science, or Physics
  • Have ability to obtain and maintain a security clearance

Even Better

  • Specialized expertise in a data-rich field such as time-series analysis, graph analytics, geospatial analysis, image processing, or Bayesian programming
  • Experience with one or more deep learning frameworks such as PyTorch or Tensorflow
  • Experience working with large datasets and familiarity with big data infrastructure, such as AWS, Hadoop, Spark, Dask, or MapReduce
  • Experience in leading and directing research initiatives from inception to functional prototypes
  • Experience working large cross-functional team in disparate locations
  • Strong written communication skills
  • Active security clearance

STR is a rapidly growing technology company with locations north of Boston, MA, Arlington, VA and near Dayton, OH. We specialize in advanced research and development for defense, intelligence, and national security, trying to understand how to protect our society: from stopping malicious botnet attacks, to understanding cyber vulnerabilities, providing next generation sensors, radar, sonar, communications, and electronic warfare to developing artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, but you go home at night knowing that you pushed the forefront of technology and made the world a little safer. We recognize that the world is changing, that it is becoming more connected than ever before, making things change faster than before, and reshaping society in the process. We all want to understand this changing world and leave it better for our work.

STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info.

STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Bayesian Big Data Classification Clustering Computer Science Deep Learning Engineering Hadoop Machine Learning Mathematics Matlab PhD Physics Python PyTorch Radar Research Security Spark Statistics TensorFlow

Perks/benefits: Career development Home office stipend

Region: North America
Country: United States
Job stats:  2  0  0

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