Software Developer - NLP Team

GMS Advisors; Chicago, Austin, New York (IL, TX, NY); On-site; USD 125,000 - 150,000; Full time

Job summary

An innovative firm in the NLP space is seeking a Software Engineer to join their dynamic team. This role offers the chance to work with cutting-edge NLP technologies and contribute to impactful data and investment processes. You will collaborate with talented professionals to design and develop software solutions, automate data processing, and enhance system operations. The ideal candidate is a self-starter with strong communication skills, able to thrive in a fast-paced environment. If you are driven, eager to learn, and ready to tackle complex challenges, this opportunity is perfect for you!

Qualifications

• 5+ years of development experience with Python and C/C++.
• Strong knowledge of CI/CD tools and the software development cycle.

Responsibilities

• Collaborate with analysts to build and improve NLP systems.
• Design and deploy software solutions for data processing.

Skills

Python

C/C++

Natural Language Processing (NLP)

Problem Solving

Communication Skills

Multi-tasking

Education

Bachelor’s degree in a quantitative field

Master’s degree in a related field

Tools

CI/CD tools (TeamCity, Jenkins)

AWS

Docker

Podman

Kubernetes

Databricks

Job description

Our client is in a period of exciting growth and expansion within the NLP space. This exciting role within our group will provide you with the opportunity to deploy state of the art NLP technologies to make a lasting impact on the firm's data and investment processes. You will have the chance to work with some of the smartest and most driven individuals in the industry.

As a Software Engineer on our NLP Team, you will:

1. Work collaboratively with senior research analysts and quantitative researchers to build and improve Natural Language Process (NLP) systems and automate data processing.
2. Design research applications to analyze equity-focused alternative data.
3. Design, develop, and deploy software solutions.
4. Build data quality tools to enable smooth system operations.
5. Assist with managing the software development cycle, including setting up and maintaining CI/CD pipelines.
6. Provide support for the system and be proactive in resolving issues in a timely manner.

To be considered a good cultural fit, you must be:

1. An ambitious self-starter.
2. Driven, self-motivated, and creative.
3. Hungry to learn.
4. Driven towards success.
5. A very strong and efficient communicator.
6. Able to multi-task and excel in a fast-paced trading environment.
7. A problem solver; able to develop quick and sound solutions to complex problems.
8. Humble, self-aware, and willing to risk pushing back to make the team and others better.

To be considered a good technical fit, you must have:

1. A Bachelor’s and/or Master’s degree in a quantitative, engineering, computer science, or related field, or equivalent experience.
2. Excellence with Python and C/C++.
3. 5+ years of development experience.
4. Extensive experience with the entire software development cycle from design to deployment.
5. Strong knowledge of CI/CD tools, such as TeamCity, Jenkins, AWS.

Bonus points for:

1. Hands-on experience working with container technologies (Docker, Podman).
2. Understanding of Kubernetes and Databricks as a platform.
3. Aptitude for designing infrastructure, data products, and tools for Data Scientists.
4. Financial industry experience.