ZipRecruiter

Log In

1

Tensorflow Jobs in Missouri (NOW HIRING)

Jobtailor

AI/ML Software Engineer

California, MO · On-site

$95 - $135/hr

Work independently with some guidance, and review or guide activities of more junior employees Requirements * 3+ years of experience with ML software libraries such as TensorFlow, Keras, PyTorch, or ...

Jobtailor

Solutions Architect, AI and ML

California, MO · On-site

$130 - $180/hr

Experience with TensorFlow or PyTorch, GPU, and CUDA * BS, MS, or PhD in Electrical/Computer Engineering, Computer Science, Statistics, Physics, or another Engineering field, or equivalent experience

Intellectix

Data Scientist

Saint Louis, MO

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 ...

Intellectix

Data Scientist

Saint Louis, MO · On-site

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 ...

next page

Showing results 1-20

All JobsTensorflow JobsTensorflow Jobs in Missouri

Tensorflow information

See Missouri salary details

$35.2K

$115.1K

$184.3K

How much do tensorflow jobs pay per year?

As of Aug 30, 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 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 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 popular job titles related to Tensorflow jobs in Missouri?

For Tensorflow jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Tensorflow jobs in Missouri look for?

The top searched job categories for Tensorflow jobs in Missouri are:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Missouri as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $115,129 per year, or $55.4 per hour.

Senior QEC Researcher - Integrated HPC & Quantum Solutions

Jobtailor

California, MO • On-site

$180 - $260/hr

Other

Posted 12 days ago

Job description

• Evaluate and develop improvements to quantum error correction strategies, algorithms, and software to enable practical execution of applications on quantum hardware
• Develop software components to handle QEC details in quantum circuit compilation, emulation/simulation, and resource estimation
• Develop or integrate real-time decoder technologies into HPE's HPC-QC software stack
• Contribute to HPC-QC architecture decisions with detailed knowledge of quantum error correction strategies
• Create and demonstrate novel quantum error correction components and describe these in publications and presentations
• Extend open-source software and improve quantum circuit compilation and simulation capabilities
• Demonstrate workflow strategies for applications that combine high performance and quantum computing, and participate in standardization of key interfaces

Requirements
  • PhD degree in Computer Science, Engineering, Physics, or Mathematics with a strong preference for quantum computing, computational science, or ML/AI expertise
  • 10 or more years of programming experience
  • 1 or more years of experience implementing software for quantum error correction (resource estimation, real-time decoding, circuit compilation)
  • Advanced programming skills in low-level languages such as C, C++, or Rust, and advanced programming skills in Python
  • Deep understanding of Quantum Error Correction codes including circuit compilation and decoding aspects, and deep understanding of Quantum Computing with skills in understanding and optimizing circuits
  • Experience creating or extending quantum computing tools (e.g., Qiskit, CUDA-Q, TensorFlow Quantum, Pennylane)
  • Experience contributing to large software projects, creating new software efforts, and designing library APIs
  • Strong mathematical background with excellent skills in areas such as statistics, probability, and linear algebra
  • Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences in written form and in presentations
  • Strong leadership, consensus-building, and stakeholder engagement skills with an outcome-focused mindset and a bias for action and delivery
  • Creative and analytical thinking abilities with a passion for solving complex problems and a focus on quality and customer results
  • Knowledge of applications of quantum computing, including quantum chemistry, quantum simulation, combinatorial optimization, or statistical physics
  • Experience with HPC environments, cloud computing platforms, GPU computing, or FPGA computing
  • Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and solid understanding of machine learning algorithms and generative AI
  • Strong track record of sharing findings with the broader scientific community, such as publishing research papers in top-tier journals and conferences.
Core Competencies

Demonstrates expertise in Quantum Error Correction strategies and algorithms, with advanced programming skills in C, C++, Rust, and Python. Capable of contributing to high-performance computing environments and integrating quantum computing tools while effectively communicating complex concepts to diverse audiences.

Highest-signal resume keywords
  • Quantum Error Correction Implementation
  • Advanced Programming in C, C++, Rust, and Python
  • Quantum Computing Tool Development (Qiskit, CUDA-Q, TensorFlow Quantum)
  • HPC Environment Experience
  • Strong Mathematical Background
ATS Optimization Keywords Hard Skills
  • Quantum Error Correction
  • Circuit Compilation
  • Real-Time Decoding
  • Resource Estimation
  • Programming in C
  • Programming in C++
  • Programming in Rust
  • Programming in Python
  • Statistical Analysis
  • Linear Algebra
Soft Skills
  • Excellent Communication
  • Leadership
  • Consensus-Building
  • Creative Thinking
  • Analytical Thinking
Certifications & Qualifications
  • PhD in Computer Science
  • PhD in Engineering
  • PhD in Physics
  • PhD in Mathematics
Industry Keywords
  • Quantum Computing
  • Computational Science
  • Machine Learning
  • Quantum Chemistry
  • Quantum Simulation
  • Combinatorial Optimization
  • Statistical Physics
  • High Performance Computing
  • Standardization of Interfaces
  • Software Development
Tools & Technologies
  • Qiskit
  • CUDA-Q
  • TensorFlow Quantum
  • Pennylane
  • HPC-QC Software Stack
  • Cloud Computing Platforms
  • GPU Computing
  • FPGA Computing
  • AI/ML Frameworks
  • TensorFlow
#J-18808-Ljbffr

Apply