Summer Intern - AI/Machine Learning in Work From Home at TradeStation

Date Posted: 2/13/2021

Job Snapshot

Job Description

Summer Intern - AI/Machine Learning
TradeStation is an on-line brokerage firm seeking to level the playing field for self-directed investors and traders, empowering them to claim their individual financial edge.  At TradeStation, we're continuously pushing the boundaries of what's possible, encouraging out-of-the-box thinking and relentless search for innovation.  We have built a team of amazing people who work together in a high-performance culture to provide our clients with exceptional products and services. 
At TradeStation, our interns are key players in our daily innovation and have the opportunity to make big contributions.  We use cutting edge technologies to provide our customers with state-of-the-art market analysis tools, order execution and educational resources.
Intern projects include working in all phases of the Software Development Cycle in an Agile environment.
Our Business Services Development team is building unique AI and Machine Learning (ML) powered solutions to augment our equity and crypto trading platform.  These solutions will empower institutional and retail investors to gain real time insights that multiply trading gains while managing risk and improving compliance.
As a Summer Intern, you will:
  • Understand requirements/current processes from business and product management and help design/define the solutions
  • Define the future state data and mathematical model for ML compatibility
  • Explore and develop Natural Language Understanding capabilities to extract sentiment and insights from free format text, audio and videos sources
  • Assist in setting up cloud Kubernetes clusters for ML models, both functionally and technically.
  • Implement basic Product Administration functionality
  • Design custom ML Sentiment Engine and design transfer learning features using third party sentiment dictionaries
  • Assist with functional testing of features developed/configured by technology team
  • Efficiently debug complex issues and add new features to the system without interruption to the existing functionality
  • Be an avid troubleshooter, very detail oriented, and able to maintain business level objectives while simultaneously focusing on managing the details of development tasks
  • Assist in devising/documenting procedures for installation and maintenance
Skills, Education & Experience:
  • Currently pursuing and in final year of a Bachelor’s/Master’s Degree in Mathematics, Computer Science, Information Technology or Electronics
  • Knowledge of and expertise with mathematical models for machine learning
  • Exposure to Machine Learning, Kubernetes, Python, Dash, Javascript, Highcharts, NLP API’s, AWS Sagemaker, Tenserflow is highly desirable
  • Good written and oral communication skills are necessary
  • Enthusiastic learners who can think creatively, raise questions, and research items as necessary.
  • Possess a “Can Do” attitude to build quality code at a high velocity
  • Understanding of Agile SDLC, Change Management
  • Excellent communication skills
Internship Duration:
  • 10 weeks full time; could be extended or converted to full-time employment
  • Possibly 100% remote working with regular online audio and video meetings