E*TRADE from Morgan Stanley ยท 1 month ago
Sr Machine Learning Python / DevOps Engineer
New York, New York, United States of America
Full-time
Onsite
Senior Level, Lead/Staff, Director/Executive
$150K/yr - $210K/yr
10+ years expE*TRADE from Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help clients achieve their financial goals. They are seeking a Sr Machine Learning Python / DevOps Engineer who will work closely with ML researchers to develop and deploy machine learning solutions, maintain production systems, and promote ML development within the firm.
BankingFinanceFinancial Services
Responsibilities
Work with ML researchers to develop, productionize, and deploy ML based project for clients
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
Python (development, packaging, patching, etc.)
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
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 of how to use modern and traditional data tiers, e.g., relational databases, object stores, graph databases
Experience designing ETL pipelines
Able to code in at least one other language: e.g. C/C++, C#, Java, Scala, Erlang, Elixir, Ruby
Linux (system level understanding, building software, debugging, etc.)
Demonstrated interest in ML, e.g., small OSS projects, Kaggle, Coursera, books, blogs, podcasts
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, Clustering tech (Zookeeper, consul, etc.)
OSS development or enterprise Python development experience
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.)
Benefits
Commission earnings
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs
Company
E*TRADE from Morgan Stanley
E*TRADE from Morgan Stanley is a pioneer in the online brokerage industry.
1001-5000 employees
H1B Sponsorship
E*TRADE from 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
2020 (3)
Funding
Current Stage
Public CompanyTotal Funding
unknown2020-02-20Acquired
1996-08-16IPO
Leadership Team
Julia Miller
Director and Customer Marketing
Recent News
2025-11-07
2025-10-14
Company data provided by crunchbase