Topstep is looking to research, develop, and implement machine learning models to improve internal business operations, enhance analytical understanding of the business and its users, and create features to improve the product.
Requirements
- Experience with SQL, python, and the ability to quickly learn new programming languages or concepts as the need arises.
- Experience building robust software, including test-driven development, logging, stress-testing, and monitoring.
- knowledge of electronic equipment, intermediate PC skills, knowledge of internet software and proficiency.
- Familiarity with Google Drive and Google Docs is a must.
- Computer experience/operation is required.
- Ability to operate general office equipment.
Responsibilities
- researching, developing, and implementing machine learning models
- create reports, dashboards, and/or data-centric tools
- contribute to the entire machine learning workflow. This workflow includes data gathering, cleaning, and validating phases, as well as exploration, analysis, feature engineering, training and model selection, launching, monitoring, and fine-tuning.
- Find valuable business insights from Topstep’s large and varied proprietary data.
- Build robust pipelines that can be relied on in production to detect exploitative trading strategies, fraudulent purchases, identity fraud in our user base, and many other relevant insights to further Topstep’s success as a brand and a business.
- Build tools for stakeholders within Topstep that can improve their efficiency and/or their ability to gain insights from Topstep’s data for themselves.
Other
- A Ph.D in mathematics, physics, statistics, computer science, machine learning, or a related technical field.
- 5+ years of work experience as a machine learning engineer or a researcher in a related technical field.
- Attention to detail and the ability to work on a collaborative research team
- The desire to constantly learn and improve
- Ability to multitask.
- Ability to work in a fast-paced environment.
- Strong time management and organizational skills.
- Ability to work under dynamic schedule constraints and consistently meet deliverable timelines.
