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Software Engineer Ai Model Training Jobs in Missouri

Jobtailor

System Software Engineer - AI

California, MO · On-site

$120 - $170/hr

... models. * Identify and resolve performance bottlenecks in distributed training and inference ... programming fundamentals and performance optimization for AI models. Capable of conducting ...

New

Jobgether

$80K - $110K/yr

... experience training large-scale models across multiple computational nodes. * Strong software ... Familiarity with software engineering practices such as version control, testing, code reviews, and ...

Stackruit Ltd.

AI Software Engineer

California, MO · On-site

$136.80 - $299.30/hr

AI Engineer at Zoom (US) - Design the Future of Collaboration! ($136,800 - $299,300) As an AI ... Design, code, and maintain innovative AI algorithms, models, and software applications. * Write ...

Jobtailor

Software Engineer, AI Platform

California, MO · On-site

$120 - $180/hr

You'll help Notion safely adopt new models, providers, and AI capabilities through versioning ... Software Engineer. * Experience with applied AI product development (prompting, evals, model ...

Yasp

Software Developer - ML/AI Compiler

California, MO · On-site

$80 - $120/hr

yasp is building the next-generation AI compiler for training deep learning models, powered by LLM ... We're looking for a passionate Software Developer - ML/AI Compiler to help shape the future of AI ...

New

MasterCard

Senior Software Engineer

O Fallon, MO

$114K - $151K/yr

Title and Summary Senior Software Engineer Who is Mastercard? Mastercard is a global technology ... model training, tuning, and inference workflows Implement and operate AI systems in production ...

Mastercard, Inc.

Senior Software Engineer

O Fallon, MO · On-site

$114K - $151K/yr

... model training, tuning, and inference workflows • Implement and operate AI systems in production, including deployment frameworks, automated pipelines, and model lifecycle management (versioning ...

Epiq

Lead AI Software Engineer

Kansas City, MO · Remote

Epiq is seeking a highly skilled Lead AI Software Engineer to join our Operations Engineering team ... Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning. * Experience ...

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Missouri?

For Software Engineer Ai Model Training jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Missouri look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Missouri are:

What cities in Missouri are hiring for Software Engineer Ai Model Training jobs?

Cities in Missouri with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you
Infographic showing various Software Engineer Ai Model Training job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

Senior Software Engineer - Local AI

Jobtailor

California, MO • On-site

$140 - $210/hr

Other

Posted 4 days ago

Job description


  • Partnering with NVIDIA software, research, architecture, and product teams to align strategies and technical needs for fostering the ecosystem of AI on RTX and DGX PCs.

  • Collaborate closely with industry partners to advance AI across critical domains—including graphics, web browsers, and edge devices—by driving innovation in both open and closed source technologies with emphasis on system level support.

  • Improving performance on current and next-generation GPU architectures by conducting in-depth analysis and end-to-end optimization of AI models, data processing pipelines, and inference runtime features.

  • Identifying, evaluating, and implementing compute and memory optimization techniques—such as quantization, distillation, and pruning—for large AI models; fine-tuning and compressing models to fit edge devices.


Requirements

  • Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, or a related field (or equivalent experience).

  • Excellent C++ programming and debugging skills with a strong understanding of data structures and algorithms.

  • 5+ years of experience with proficiency in AI inferencing pipelines and applications using ML/DL frameworks, including ONNX RT, PyTorch, Tensor RT, llama.cpp and vLLM.

  • Strong analytical and problem-solving abilities, with the ability to multitask effectively in a dynamic environment.

  • Outstanding written and oral communication skills enabling effective collaboration with management and engineering teams.


Core Competencies

Demonstrates expertise in AI model optimization and performance enhancement on GPU architectures, with strong proficiency in C++ programming and ML/DL frameworks. Capable of collaborating effectively with cross-functional teams to drive innovation in AI technologies.


Highest-signal resume keywords

  • C++ Programming

  • AI Inferencing Pipelines

  • ML/DL Frameworks

  • Performance Optimization

  • Data Structures and Algorithms


ATS Optimization Keywords
Hard Skills

  • C++ Programming

  • Data Structures

  • Algorithms

  • AI Model Optimization

  • Quantization

  • Distillation

  • Pruning

  • End-to-End Optimization

  • Inference Runtime Features

  • Multitasking


Soft Skills

  • Analytical Abilities

  • Problem-Solving

  • Written Communication

  • Oral Communication

  • Collaboration


Industry Keywords

  • AI Ecosystem

  • GPU Architectures

  • Edge Devices

  • Open Source Technologies

  • Closed Source Technologies


Tools & Technologies

  • ONNX RT

  • PyTorch

  • Tensor RT

  • Llama.cpp

  • VLLM

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