Full-Time

Machine Learning Platform Engineer

Confirmed live in the last 24 hours

Tower Research Capital

Tower Research Capital

1,001-5,000 employees

High-frequency trading and technology solutions

Quantitative Finance
Financial Services

Compensation Overview

$150k - $220kAnnually

+ Discretionary Bonus

Mid

New York, NY, USA

Anticipated New York annual base salary range $150,000 - $220,000, plus eligible for discretionary bonus.

Category
Applied Machine Learning
AI & Machine Learning
DevOps & Infrastructure
Required Skills
Python
Linux/Unix
Requirements
  • At least 4-5 years of experience designing large distributed systems, with passion for performance and high availability at scale
  • Experience developing in Python
  • Experience with managing applications on linux HPC clusters and/or cloud platforms
  • Knowledge of GPUs, related technologies and/or machine learning frameworks is a strong plus
  • Strong troubleshooting and problem solving skills
  • Motivated to learn new technologies and able to work independently
Responsibilities
  • Working on our next gen platform with an emphasis on reliability, transparency, observability of the system, and Interoperability across on-prem and multi-cloud infrastructure
  • Collaborating with our Researchers and HPC infrastructure team to solve problems in a scalable manner
  • Taking a lead in identifying efficiency and throughput optimizations
  • Enhancing the platform to handle ever-increasing data volumes and incorporate cutting-edge machine learning techniques
  • Working in a fast-paced, close-knit and dynamic environment, implementing fixes / features at short notice when needed
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. Unlike many competitors, Tower Research Capital focuses on proprietary trading strategies and invests heavily in research and development to enhance its trading technology. The goal of the company is to generate profits by executing a large volume of trades with minimal latency.

Company Stage

N/A

Total Funding

$58.9M

Headquarters

New York City, New York

Founded

1998

Simplify Jobs

Simplify's Take

What believers are saying

  • Employees benefit from exposure to a wide range of industries and cutting-edge technologies, enhancing their professional growth and marketability.
  • The firm's robust financial health, evidenced by substantial real estate investments and participation in high-profile funding rounds, provides job security and growth opportunities.
  • Tower Research Capital's commitment to social responsibility, such as their COVID-focused donation matching campaign, fosters a positive and supportive work environment.

What critics are saying

  • The highly competitive nature of the trading and investment sectors means that Tower Research Capital must continuously innovate to maintain its edge.
  • Involvement in diverse sectors could lead to overextension, potentially diluting focus and resources.

What makes Tower Research Capital unique

  • Tower Research Capital's involvement in diverse sectors, from government procurement to sports betting, showcases its broad investment strategy, unlike firms that focus on niche markets.
  • Their strategic investments in innovative technologies like AI for government contracting and financial exchange access set them apart from traditional trading firms.
  • Tower Research Capital's significant real estate investments, such as leasing 122,000 square feet in a prime Financial District building, highlight their financial stability and long-term planning.

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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