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Tensorflow Jobs in Missouri (NOW HIRING)

Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch. * Experience with workload managers (SLURM, Argo Workflow ...

Experience training ML models with GPU acceleration in a containerized environment using common AI frameworks such as Tensorflow or Torch. * Experience with workload managers (SLURM, Argo Workflow ...

AI Software Engineer

California, MO · On-site

$136.80 - $299.30/hr

A solid understanding of AI concepts, algorithms, and frameworks (TensorFlow, PyTorch). * Knowledge of software development best practices and version control systems (Git). Benefits * Competitive ...

AI Engineer

O Fallon, MO · On-site

$107K - $128K/yr

Proficiency in Python and Common AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) * Experience with data processing and analysis (SQL, Pandas, etc) * Understanding of APIs and system ...

Expertise in machine learning frameworks including scikit-learn, TensorFlow, and PyTorch * Strong knowledge of cloud platforms (AWS, Azure) and big data technologies (Spark, Databricks) * Experience ...

New

$42 - $55.50/hr

Experience with PyTorch, TensorFlow, ONNX, or similar ML tools in an audio context is a plus #LI-Remote

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Showing results 1-20

Tensorflow information

See Missouri salary details

$35.2K

$115.1K

$184.3K

How much do tensorflow jobs pay per year?

As of Aug 10, 2026, the average yearly pay for tensorflow in Missouri is $115,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Missouri? The most popular types of Tensorflow jobs in Missouri are:
Infographic showing various Tensorflow job openings in Missouri as of August 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Senior Software Engineer - Integrated HPC & Quantum Solutions

Jobtailor

California, MO • On-site

$150 - $190/hr

Other

Posted 5 days ago


Job description

  • Develop and demonstrate software that supports quantum computing applications and HPC-QC system management through job management, scheduling, compilation, and workflow frameworks.
  • Create software adapters that connect quantum computing software tools (compilers, SDKs) with other tools using open standards where possible.
  • Evaluate open-source and commercial software for inclusion in integrated HPC-QC environments.
  • Develop functional and unit tests, support code quality with automated testing and continuous integration.
  • Assist with code reviews and improve software prototypes.
  • Create mock-up and test bed systems to demonstrate HPC-QC software capabilities.
  • Prepare internal and external demonstrations, create technical documentation, and write portions of research papers relating to software development efforts.
  • Contribute to the development of open specifications and standards to support interoperability in quantum computing.
Requirements
  • Master's degree in Computer Science, Physics, Mathematics, or related field, or equivalent work experience
  • 6 or more years of programming experience
  • Advanced programming skills in low-level languages such as C, C++, or Rust, and advanced programming skills in Python
  • Experience contributing to large software projects and creating new software efforts, including library API design.
  • Experience creating or extending quantum computing tools (e.g., Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane).
  • Strong understanding of quantum computing, including skills in understanding and optimizing circuits.
  • Deep understanding of HPC architecture, GPU/CPU function and applicability, cluster design, job scheduling, workload optimization, and performance tuning and testing.
  • Strong mathematical background with excellent skills in areas such as statistics, probability, and linear algebra.
Core Competencies

Demonstrates advanced programming skills in low-level languages and Python, with a strong understanding of quantum computing and HPC architecture. Capable of developing software tools, conducting code reviews, and contributing to large software projects while ensuring code quality through testing and documentation.

Highest-signal resume keywords
  • Advanced Programming Skills in C, C++, Rust, and Python
  • Quantum Computing Tools Development (Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane)
  • HPC Architecture and Performance Tuning
  • Software Testing and Continuous Integration
  • Master's Degree in Computer Science, Physics, Mathematics, or Related Field
ATS Optimization Keywords Hard Skills
  • Programming in C
  • Programming in C++
  • Programming in Rust
  • Programming in Python
  • Quantum Computing
  • HPC Architecture
  • Job Scheduling
  • Workload Optimization
  • Performance Tuning
  • Mathematics (Statistics, Probability, Linear Algebra)
Industry Keywords
  • Quantum Computing Applications
  • HPC-Q System Management
  • Software Development
  • Open Standards
  • Interoperability
Tools & Technologies
  • Qiskit
  • CUDA-Q
  • TensorFlow Quantum
  • Pennylane
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