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Susquehanna International Group · 14 hours ago

Machine Learning Systems Engineer: Distributed Training

Greater Philadelphia

Full-time

Onsite

Mid Level

Susquehanna International Group is a global quantitative trading firm that combines deep research, cutting-edge technology, and a collaborative culture. They are seeking a Machine Learning Systems Engineer to enhance the performance and scalability of their distributed training infrastructure, working closely with researchers to optimize large-scale training runs and improve system efficiency.

FinanceFinancial ServicesFinTechVenture Capital

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

Collaborate with researchers to enable them to develop systems-efficient models and architectures

Apply the latest techniques to our internal training runs to achieve impressive hardware efficiency for our training runs

Create tooling to help researchers distribute their training jobs more effectively

Profile and optimize our training runs

Qualification

Large-scale ML trainingDistributed training frameworksSoftware engineering in PythonResource efficiency optimizationSystems implementation understanding

Required

Experience with large-scale ML training pipelines and distributed training frameworks

Strong software engineering skills in python

Passion for diving deep into systems implementations and understanding fundamentals to improve their performance and maintainability

Experience improving resource efficiency across distributed computing environments by leveraging profiling, benchmarking, and implementing system-level optimizations

Company

Susquehanna International Group

Glassdoor4.1

Susquehanna is a global quantitative trading firm committing its own capital to trade financial products around the world.

Founded in 1987

Bala Cynwyd, Pennsylvania, USA

1001-5000 employees

https://www.sig.com

H1B Sponsorship

Susquehanna International Group has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2025 (89)

2024 (62)

2023 (54)

2022 (49)

2021 (40)

2020 (36)