Morgan Stanley · 2 weeks ago
Sr Machine Learning Python / DevOps Engineer
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
$150K/yr - $210K/yr
10+ years expMorgan Stanley is an industry leader in financial services, known for mobilizing capital to help achieve financial goals. They are seeking a Senior Machine Learning Python / DevOps Engineer to work with ML researchers, develop and deploy ML-based projects, and maintain production systems.
Asset ManagementFinanceFinancial ServicesLending
Responsibilities
Work with ML researchers to develop, productionize, and deploy ML based project for clients
Dig into client systems to help retrofit with the team’s creations
Maintain and support production systems
Onboard and develop systems to help us manage and reuse ML models across the Firm with a focus on ML Ops
Hack away at compiling and repackaging tricky libraries used by researchers
Find tooling and platform solutions to real-world problems and bring them into the Firm as quickly as possible with adherence to our security policies
Remain up to date on ML tools, libraries, and techniques across the Open Source and vendor landscape
Build and maintain tooling and systems to promote ML development within the firm
Create and maintain code samples to bootstrap ML practitioners so that the work done to help one team will help the next
Qualification
Required
Minimum 10 years of related technology experience
Strong background in Python and Java/C/C++. Development, packaging, patching, etc
Debugging, profiling, and performance engineering
Familiarity with trading systems
Understanding of core infrastructure (hardware and software) and how it can be used to make our job easier, e.g., processor architectures, memory, load balancers, reverse proxies, automation frameworks, etc
Experience with container technologies (Docker, podman, buildah, Kubernetes, etc.) Both with regards to packaging and runtime
At least some familiarity with cloud and cloud enablement technologies (AWS, Azure, Terraform.)
Understanding how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases
Experience designing ETL pipelines
Linux (system level understanding, building software, debugging, etc.)
Self-starter capable of taking an idea and seeing it all the way from research to execution
Ability to clearly illustrate complex ideas using documentation and diagrams
Preferred
Dask, Ray, Spark, and other distributed compute tech
OSS development
Mathematics, e.g., statistics, linear algebra
Background in data science
Knowledge of the latest deep learning deployment technologies (jax, openxla, etc.)
Knowledge of model monitoring tools (mlflow, tensorboard, etc.)
Experience with CUDA, ROCm, etc
Exposure to the financial sector (equities, fixed income, etc.)
Knowledge of GitHub (general PR workflow, Actions, etc.)
Benefits
Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs
Company
Morgan Stanley
Morgan Stanley is a financial services company that offers securities, asset management, and credit services.
10001+ employees
H1B Sponsorship
Morgan Stanley 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
Represents job field similar to this job
Trends of Total Sponsorships
2025 (222)
2024 (195)
2023 (173)
2022 (153)
2021 (165)
2020 (173)
Funding
Current Stage
Public CompanyTotal Funding
unknown1997-02-05IPO
Leadership Team
James Gorman
Chairman and CEO
Ted Pick
Chief Executive Officer (CEO)
Recent News
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