Rachel Springer
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Rachel Springer Email & Phone Number

Software Engineer at Monumental Labs
Location: New York, New York, United States 11 work roles 2 schools
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✓ Verified May 2026 3 data sources Profile completeness 86%

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Current company
Role
Software Engineer
Location
New York, New York, United States

Who is Rachel Springer? Overview

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Rachel Springer is listed as Software Engineer at Monumental Labs, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Rachel Springer.

Rachel Springer previously worked as Quantitative Research Associate at Columbia University and Machine Learning Intern at Nasa Jet Propulsion Laboratory. Rachel Springer holds Bachelor'S Degree, Computer Science- Intelligent Systems Track, Sociology from Columbia University.

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Monumental Labs

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Profile bio

About Rachel Springer

Rachel Springer is a Software Engineer at Monumental Labs. She is proficient in Spanish.

Current workplace

Rachel Springer's current company

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Monumental Labs
Monumental Labs
Software Engineer
New York, NY, US
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11 roles

Rachel Springer work experience

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Quantitative Research Associate

Current

New York, NY, US

Developed probabilistic modeling methodology to analyze the dynamics of workplace organizing. Used a Bayesian hierarchical logistic regression model to model the effects of worker and workplace attributes on membership card signing, fit using stochastic variational inference with a mean-field parameterization, and fit a Gaussian mixture model to identify.

Sep 2023 - Present

Machine Learning Intern

Pasadena, CA, US

Worked on developing a novel solution to automating the schedule generation process for NASA’s Deep Space Network. Developed a deconfliction system to automate scheduling by converting schedules and their constraints to a graph representation, and training a custom reinforcement learning network that combines graph neural network feature extraction with.

Jun 2023 - Aug 2023

Research Assistant

New York, NY, US

Developed system to automate mock-molecule generation, working towards using deep learning to identify molecule structures from crystallography data. Worked on setting up and training a Tensorflow network to reconstruct mock-molecules from 1D signature.

Sep 2022 - Dec 2022

Software Engineer Intern

Milan, Milan, IT

Completed 2 month Swift training in back- and front-end iOS development, including Swift Composable Architecture and object-oriented programming principles. Added metrics to social media tracking for app reaching > 9 million users

Jul 2022 - Aug 2022

Instructor

Bevagna, Umbria, IT

Co-organized and served as counselor/tutor for three two-week summer camps across Italy and Austria. Planned and taught TEFL curriculum for classes of students aged 6-14, leading daily classes. Planned and led daily camp-wide youth activities focused on multicultural engagement.

Jun 2021 - Aug 2021

Canvasser

Minneapolis, Minnesota, US

Held conversations with hundreds of constituents across Minneapolis leading up to 2020 DFL primary. Assisted in voter registration and political education prior to 2020 DFL Primary, assisted in weekly trainings for campaign volunteers.

Jul 2020 - Aug 2020

Software Lead

Umn Biology

Led software development of system to remotely control movement of camera to increase safety and efficacy of data collection for UMN biology research on local mussel populations using Python through a Raspberry Pi. Assisted team in mechanical design and development of underwater camera robotic system.

Nov 2018 - Aug 2020

Engineering Technology Camp Participant

Cupertino, California, US

One of 25 students selected nationwide for a program to learn computer science + engineering practices from Apple. Developed, designed, and demoed a confidential, novel technological solution for a public-interest issue in team of four. Led software development of mobile application of product and integration into electrical + hardware systems.

Jul 2019 - Jul 2019

Lead Of Programming And Design

Ftc 9890

-3x world championship qualifier- Used PTC Creo’s CAD softwares to create complete 3D models of robot- Used Java through Android Studio to control robot while implementing a feature branched workflow- Worked on implementation of Finite Element Analysis, FMEA, Design of Experiments, and Agile project management for design- Contributed to ongoing engineering.

Sep 2015 - Jun 2019

Software Engineer Intern

Minneapolis, MN, US

Developed tool in Python to automate project management pointing process using the JIRA API, saving 1000+ person hours/year. Deployed tool through Jenkins via a Docker image stored in Amazon ECR. Practiced collaborative programming & testing-driven development in Agile environment

Jun 2018 - Aug 2018
2 education records

Rachel Springer education

Bachelor'S Degree, Computer Science- Intelligent Systems Track, Sociology

Columbia University

Education record

Southwest High School
FAQ

Frequently asked questions about Rachel Springer

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What company does Rachel Springer work for?

Rachel Springer works for Monumental Labs.

What is Rachel Springer's role at Monumental Labs?

Rachel Springer is listed as Software Engineer at Monumental Labs.

Where is Rachel Springer based?

Rachel Springer is based in New York, New York, United States while working with Monumental Labs.

What companies has Rachel Springer worked for?

Rachel Springer has worked for Monumental Labs, Columbia University, Nasa Jet Propulsion Laboratory, Bending Spoons, and The English Camp Company.

How can I contact Rachel Springer?

You can use AeroLeads to view verified contact signals for Rachel Springer at Monumental Labs, including work email, phone, and LinkedIn data when available.

What schools did Rachel Springer attend?

Rachel Springer holds Bachelor'S Degree, Computer Science- Intelligent Systems Track, Sociology from Columbia University.

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