This Job Vacancy has Expired!

Financial Engineer (Machine Learning)

Posted on Oct 9, 2019 by Request Technology - Connor Roettig

Virginia, VA
Immediate Start
Annual Salary


Company is currently seeking a Machine Learning Engineer to develop production systems that involve data science, data engineering and machine learning. The selected candidate will partner with data scientists to develop high throughput systems to make models, data, and analytics available for business use.

The ideal candidate will have a creative but analytical mindset and be passionate about software engineering. The selected candidate will combine strong software development, quantitative analysis, and collaboration skills to help build high-performance, scalable and fault tolerant solutions.

Your Work Falls into Three Primary Categories:

Building Production Systems

Design, develop and support production systems, which typically contain a models developed by a team of data scientists. Our existing systems are written in Python, however, we choose the right technologies for each system, so candidates need to be able to quickly learn new languages and libraries.

Design and develop new code, implement automated testing to ensure standard technology development practices are met

Support Data Scientists

Work side-by-side with data science and machine learning experts to solve their technical challenges, for example:

Implement new machine learning techniques that are not provided by an existing library

Optimize code written by data scientists to reduce runtime and memory usage


Peer review code and automated tests, help team members with design and implementation challenges

Clearly craft and articulate messages (both written and verbal) to a variety of audiences

Actively seek opportunities to continuously improve the technical quality and architecture to respond to business needs


  • At least 5 years of experience developing in Python or Java
  • BS in Computer Science or equivalent experience
  • Experience with building production web services
  • Experience working with numerical/quantitative systems, eg, pandas, NumPy, SciPy and Apache Spark
  • Experience writing automated unit, integration, regression, performance and acceptance tests
  • Solid understanding of software design principles
  • Being a rigorous developer
  • An ability to work independently, communicate well, and emulate an agile mindset
  • Familiarity with linear algebra, regression analysis and machine learning techniques
  • Experience with cloud computing and storage services
  • Experience with C or C++
  • Strong quantitative skills (statistics, econometrics)

Reference: 769818195

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