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Full Time Software Engineer Spotify Jobs in Columbia, SC

AMC Health

Senior Software Engineer Applied AI

Columbia, SC · On-site

$113K - $149K/yr

Senior Software Engineer: Applied AI (Voice Agents & ML Systems) AMC Health Remote (US) Full-time The pitch We build and operate production AI voice agents that hold real phone conversations in a ...

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Develocity

Senior Site Reliability Engineer

North, SC · On-site

$53 - $70.25/hr

... software organizations - Netflix, Airbnb, Spotify, SAP, major global banks, and hundreds more ... Who You Are We're building a new SRE team and looking for founding members to help shape how we ...

Hahn Group

Controls Engineer, Software M/F

Columbia, SC

$41.75 - $53.50/hr

Reference 2026-1789 Functional Area Software Position description Job title Controls Engineer, Software M/F Employment type Full Time The principal duties will include, but not be limited to: Develop ...

Develocity

Senior Product Manager

North, SC · On-site

$117K - $155K/yr

We build Develocity, the context-engineering layer for AI-driven software delivery used by some of the world's leading software organizations - Netflix, Airbnb, Spotify, SAP, major global banks, and ...

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All JobsSoftware Engineer Spotify JobsFull Time Software Engineer Spotify JobsFull Time Software Engineer Spotify Jobs in Columbia, SC

Full Time Software Engineer Spotify information

See Columbia, SC salary details

$58.7K

$136.5K

$190.1K

How much do full time software engineer spotify jobs pay per year?

As of Aug 20, 2026, the average yearly pay for full time software engineer spotify in Columbia, SC is $136,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Software Engineer Spotify vs Full Time Software Developer Spotify?

AspectFull Time Software Engineer SpotifyFull Time Software Developer Spotify
Required CredentialsBachelor's in Computer Science or related field; coding skills in multiple languagesBachelor's in Computer Science or related field; coding skills in relevant languages
Work EnvironmentCollaborative teams, Agile methodology, cross-functional projectsDevelopment teams, Agile practices, product-focused environment
Employer & Industry UsageCommonly used in tech companies like Spotify, focusing on system architecture and engineeringUsed interchangeably in tech industry, often focusing on application development

Both roles typically require similar educational backgrounds and technical skills. The main difference lies in scope: Software Engineers often focus on system architecture and engineering challenges, while Software Developers may concentrate more on application coding and feature implementation. In Spotify, both roles collaborate closely within agile teams to develop and maintain the platform.

What are the most commonly searched types of Software Engineer Spotify jobs in Columbia, SC?

The most popular types of Software Engineer Spotify jobs in Columbia, SC are:

What are popular job titles related to Full Time Software Engineer Spotify jobs in Columbia, SC?

For Full Time Software Engineer Spotify jobs in Columbia, SC, the most frequently searched job titles are:

What job categories do people searching Full Time Software Engineer Spotify jobs in Columbia, SC look for?

The top searched job categories for Full Time Software Engineer Spotify jobs in Columbia, SC are:

What cities near Columbia, SC are hiring for Full Time Software Engineer Spotify jobs?

Cities near Columbia, SC with the most Full Time Software Engineer Spotify job openings:

Full Time Software Engineer Spotify jobs near you
Infographic showing various Full Time Software Engineer Spotify job openings in Columbia, SC as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $136,479 per year, or $65.6 per hour.

Senior AI/ML C++ software engineer

MLS Technologies

Lexington, SC • On-site

$104K - $138K/yr

Full-time

Re-posted 9 hours ago

Job description

Senior Embedded Controls Engineer: C++/Linux and Machine Learning exp.
As an AI Machine Learning Engineer focus will be on designing and developing scalable solutions using AI tools and machine learning models. Addressing various neural network-related challenges in transportation sector.

This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms.
Your responsibilities
Design and develop real time AI .

Neural Network solutions for transportation industry maintenance equipment. Implementing appropriate ML algorithms.
Write clean, documented code following best practices.
Develop and implement communication protocols.
Work independently and collaboratively with a motivated team.
Generate requirements and design documentation.
Plan for, design, and deliver testing, and tested products into the QA process.
Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems.
Qualifications
Education
Master"s / Bachelor"s degree in Software Engineering or similar experience.
Experience
5+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
5+ years of experience in Software development using C++ & Linux embedded.
Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
Working knowledge of AI Framework such as TensorFlow, Caf?, PyTorch, Keras, Darknet and OpenCV.
Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
Knowledge of the Linux Operating System.
Preferred Experience
Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).
Education:Bachelor LevelEmployment Type: FULL_TIME

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