Full-Time

Développeur en Apprentissage Automatique / Machine Learning Developer

Confirmed live in the last 24 hours

Tower Research Capital

Tower Research Capital

1,001-5,000 employees

High-frequency trading and technology solutions

No salary listed

Mid, Senior

Montreal, QC, Canada

Hybrid

Occasions de travail hybride.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Required Skills
LLM
Bash
Python
Tensorflow
Git
Pytorch
SQL
Machine Learning
Linux/Unix
Requirements
  • A bachelor’s, master's, or PhD (complete) degree or equivalent from a top university, with 2-8 years of experience.
  • Prior experience with training, building, and deploying large scale deep learning models is mandatory.
  • Prior experience designing and implementing sequence and time series models is required.
  • Skilled in using Linux, SQL, Git, and BASH scripting.
  • Strong knowledge of Python and hands-on (Pytorch/Tensorflow).
  • This position requires proficiency in both French and English, both spoken and written.
Responsibilities
  • Developing data pipelines for collecting, processing, and analyzing diverse datasets.
  • Design and implement deep learning architectures for large volumes of data.
  • Train, evaluate, and fine-tune Large Language Models on internal datasets and tasks.
  • Conduct experiments and tests to evaluate model performance.
  • Contribute to optimizing and fine-tuning existing machine learning models.
  • Build pipelines for monitoring, managing and constantly improving production ML/DL models.
Tower Research Capital

Tower Research Capital

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Tower Research Capital provides high-frequency trading services in the financial markets. The company uses advanced technology and algorithms to execute trades at very high speeds, allowing it to take advantage of small price discrepancies and market inefficiencies. Its main clients are institutional investors, hedge funds, and other financial entities that need fast and reliable trading solutions. What sets Tower Research Capital apart from its competitors is its focus on proprietary trading strategies and continuous investment in research and development, which helps it maintain a leading position in the high-frequency trading sector. The company's goal is to generate profits by executing a large volume of trades with minimal latency.

Company Size

1,001-5,000

Company Stage

N/A

Total Funding

$68.8M

Headquarters

New York City, New York

Founded

1998

Simplify Jobs

Simplify's Take

What believers are saying

  • Increased interest in AI-driven trading strategies enhances Tower's systematic trading capabilities.
  • Emergence of new exchanges offers opportunities for technology partnerships and licensing.
  • AI integration in trading processes aligns with Tower's focus on innovation and efficiency.

What critics are saying

  • New exchanges like Texas Stock Exchange may impact Tower's market share in 2026.
  • Departure of key personnel to competitors could lead to a loss of expertise.
  • Rise of AI-driven trading platforms may disrupt traditional high-frequency trading models.

What makes Tower Research Capital unique

  • Tower Research Capital excels in high-frequency trading with advanced algorithms and technology.
  • Founded in 1998, it has built some of the fastest electronic trading platforms.
  • The firm leverages proprietary trading strategies to capitalize on market inefficiencies.

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Benefits

5 weeks of paid vacation per year

401(k) with company matching

Free meals and snacks

Reimbursement for health and wellness expenses

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CaseBlink, an AI startup based in Miami, FL, raised $2M in pre-seed funding. The round was led by Tower Research Ventures, VCs, and immigration law firms, including Fakhoury Global Immigration. The funds will be used to expand operations and development efforts. CaseBlink, led by CEO Khalil Zlaoui, recently launched Studio, a customizable AI drafting tool for immigration attorneys.

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