Machine Learning Researcher chez Topstep

Summary 

A Machine Learning Researcher at Topstep is responsible for researching, developing, and implementing machine learning models to improve Topstep’s internal business operations, further Topstep’s analytical understanding of the business and its users, and/or create useful features to enhance Topstep’s product.  Along with model building, MLEs will create reports, dashboards, and/or data-centric tools as those needs arise.  An MLE at Topstep is a “full-stack” MLE, meaning that they will be expected to 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.

Like all employees at Topstep, we expect our MLEs to take ownership of projects and directives, to think creatively, and to challenge the status quo whenever the status quo does not seem good enough.

A Machine Learning Researcher at Topstep is responsible for researching, developing, and implementing machine learning models to improve Topstep’s internal business operations, further Topstep’s analytical understanding of the business and its users, and/or create useful features to enhance Topstep’s product.  Along with model building, MLEs will create reports, dashboards, and/or data-centric tools as those needs arise.  An MLE at Topstep is a “full-stack” MLE, meaning that they will be expected to 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.

Like all employees at Topstep, we expect our MLEs to take ownership of projects and directives, to think creatively, and to challenge the status quo whenever the status quo does not seem good enough.

Key Responsibilities 

• 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.

Required Qualifications and Key Competencies

• 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.
• Experience with SQL, python, and the ability to quickly learn new programming languages or concepts as the need arises.
• Attention to detail and the ability to work on a collaborative research team
• Experience building robust software, including test-driven development, logging, stress-testing, and monitoring.
• The desire to constantly learn and improve
• The ability to find simple solutions when they exist, the technical knowledge to use complex solutions when they’re needed, and the ability to distinguish between the two.

Reasoning Ability                   

Ability to apply common sense understanding to carry out written or oral instructions.  Ability to deal with problems involving concrete variables in standardized situations.  Ability to solve practical problems via a logical, analytic approach. 

Computer Skills                   

To perform this job successfully, an individual must have 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. Must have the ability to operate general office equipment.

Other Skills and Abilities          

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.

Company Culture & Perks

• Topstep is an engaging working environment which ranges from fully remote to hybrid. We foster a culture of collaboration with cameras on during meetings and a robust Slack environment for communication. 
• 9 Company paid Holidays and generous Family Leave. Paid time off is accrued monthly.
• Competitive 401(k) matching, health, dental, and vision insurance is offered for full time employees 
• Vacations are encouraged with a bonus for taking 5 consecutive days. Employee referrals are bonused. Topstep offers a food and groceries budget and contributes towards health and wellness.

New Hire Base Salary Range

• $170,000-$190,000
• Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.
• The compensation offered will take into account internal compensation structure and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

Equal Opportunity Employer

Topstep is an Equal Opportunity Employer. We are committed to fostering an inclusive environment where all employees and applicants are valued. All qualified candidates will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or veteran status, in compliance with applicable federal, state, and local laws.

Interested in the role? Apply today with your resume and cover letter!