Bachelor's degree in a technical subject (e.g. computer science, machine learning, mathematics, physics, statistics, econometrics), or equivalent experience
Ability to write code fluently in at least one programming language, preferably Python
Knowledge of mathematics, statistics and machine learning concepts needed to properly train and evaluate production models and understand research papers
Ability to communicate technical ideas effectively and work with business partners
Entrepreneurial mindset and strong interest in using LLMs and classical machine learning techniques to help drive a multi-billion dollar business
2+ years experience in a machine learning, data engineering or software engineering team
Nice To Have
Familiarity with deploying and managing containerized applications in an AWS and/or Azure environment
Familiarity with Infrastructure as Code (Terraform) and CI/CD
Experience building RESTful APIs (preferably in Flask, FastAPI, or other Python frameworks)
Experience building data pipelines to feed ML models
Knowledge of Python ML/data/math libraries such as PyTorch, numpy and pandas
The expected base salary for this position ranges from $ 175,000 to $ 250,000. The actual base salary will be determined on an individualized basis taking into account a wide range of factors including, but not limited to, relevant skills, experience, education, and, where applicable, licenses or certifications held. In addition to base salary and a competitive benefits package, this position may be eligible for additional types of compensation including discretionary bonuses and other short- and long-term incentives (e.g., deferred cash, equity, etc.).
Seniority level
Associate
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Financial Services
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