Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Machine Learning Platform Engineer.

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

Qualifications

  • 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

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

Benefits

Tower’s dual offices and garden roof decks are located in TriBeCa and SoHo, neighborhoods in downtown Manhattan. While we work hard, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

  • 401(k) with company matching
  • 5 weeks of paid vacation per year plus 11 paid holidays
  • Free breakfast, lunch, and snacks on a daily basis
  • Reimbursement for health and wellness expenses
  • Free events and workshops
  • Donation matching program

Tower Research Capital is an equal opportunity employer.

Salary

$150,000 - $220,000

Yearly based

Location

New York

Job Overview
Job Posted:
4 months ago
Job Expires:
Job Type
Full Time

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