Machine Learning Research Engineer
Booz Allen
Engineering & Technology
Job Summary
As a Machine Learning (ML) Research Engineer, you’re excited at the prospect of building algorithms that leverage data to address critical problems never before solvable by computer. You’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities, and you’re ready to take on the challenges of using this data to build decision making systems that can handle the uncertainty and complexity of the real world. As an ML research engineer at Booz Allen, you can help turn these complex data sets into useful algorithms to solve global challenges. Across private and public sectors we need you to help turn data into informed decision making.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 2 years
Job Description/Requirements
Basic Qualifications:
- 2+ years of experience with statistical and general-purpose programming languages, including R, MATLAB, or Python
- Experience with developing deep learning algorithms using structured and unstructured data sources and frameworks, including Tensorflow or Pytorch
- Experience with developing data models, quantitative analyses and visualization of targeted data sources
- Knowledge of Machine Learning, Artificial Intelligence, Generative Models, or Natural Language Processing
- Secret clearance  
- Bachelor’s degreeÂ
Nice If You Have:  Â
- 2+ years of experience in the development of algorithms leveraging R, Python, or MATLAB
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 2+ years of experience with Distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- 2+ years of experience with Machine Learning, Generative AI or NLPÂ
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