Назад
Company hidden
обновлено 4 дня назад

Sr Engineer - Machine Learning - Regulatory (Fintech)

154 275 - 199 650$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Sr Engineer - Machine Learning - Regulatory (Fintech): Prototyping, training, and deploying ML models and AI applications to monitor financial markets, generating terabytes of data daily with an accent on utilizing advanced AI tools and scalable data engineering. Focus on transforming complex data into actionable insights in a fast-paced, highly regulated environment.

Location: Chicago, Illinois, United States of America. This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Salary: $154,275-$199,650

Company

hirify.global provides trading solutions and products in multiple asset classes, including equities, derivatives, FX, and digital assets.

What you will do

  • Collaborate on machine learning experiments across order book analysis, alert detection, and sequential financial data.
  • Develop and operate AI agent systems in production, applying ML engineering discipline to nondeterministic LLM-based software development workflows.
  • Own and evolve the team's ML training and deployment infrastructure on Snowflake.
  • Build production-quality data pipelines for processing terabytes of daily financial market data.
  • Raise the engineering bar through rigorous code review, architecture guidance, and mentorship of junior and mid-level engineers.
  • Develop explainability and process-compliance solutions for AI and ML.

Requirements

  • Bachelor's degree in a quantitative field.
  • 5 + years of professional software engineering experience, primarily in Python.
  • Strong SQL skills and experience working with large-scale datasets.
  • Production ML experience where you've trained, deployed, and monitored models at scale.
  • Experience with at least one enterprise cloud data platform (Snowflake, Databricks, BigQuery, or similar) including working within complex RBAC and governance constraints.
  • Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Culture & Benefits

  • Fair and competitive salary and incentive compensation packages with an upside for overachievement.
  • Generous paid time off, including vacation, personal days, sick days and annual community service days.
  • Health, dental and vision benefits, including access to telemedicine and mental health services.
  • 2:1 401(k) match, up to 8% match immediately upon hire.
  • Complimentary lunch, snacks and coffee in any Cboe office.
  • Paid Tuition assistance and education opportunities.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →