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Tensorflow Jobs in Minnesota (NOW HIRING)

Cloud Solution Architect

Virginia, MN · On-site

$140 - $180/hr

Demonstrated in-depth experience and knowledge of machine learning tools and frameworks such as PyTorch, Tensorflow, etc. * Demonstrated experience with extensive math and computer science skills ...

Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow). * Demonstrated capability in writing clean, PEP 8-compliant, modular, and ...

Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow). * Demonstrated capability in writing clean, PEP 8-compliant, modular, and ...

Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow). * Demonstrated capability in writing clean, PEP 8-compliant, modular, and ...

Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow). * Demonstrated capability in writing clean, PEP 8-compliant, modular, and ...

Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow). * Demonstrated capability in writing clean, PEP 8-compliant, modular, and ...

Strong practical experience with core ML algorithms (scikit-learn, XGBoost, LightGBM, statsmodels, PyTorch, or TensorFlow). * Demonstrated capability in writing clean, PEP 8-compliant, modular, and ...

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

... TensorFlow) • Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML) • Experience deploying containerized ML services using Docker and ...

Showing results 21-40

Tensorflow information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do tensorflow jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tensorflow in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 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 the most commonly searched types of Tensorflow jobs in Minnesota?

The most popular types of Tensorflow jobs in Minnesota are:

What are popular job titles related to Tensorflow jobs in Minnesota?

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

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

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

Infographic showing various Tensorflow job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.

Senior AI Software Engineer - Level I

Symbiotic Services

Saint Paul, MN • Hybrid

$123K - $163K/yr

Full-time

Retirement, PTO

Re-posted 11 days ago


Job description

Senior Software Engineer - AI I Recruiter: Symbiotic Services Are you passionate about building AI-driven software that transforms how professionals work. Symbiotic Services is seeking a Senior Software Engineer - AI for a high-impact opportunity with a leading global organization. This role blends innovative, startup-style problem solving with the scale and stability of an established enterprise, focusing on AI-powered solutions that enhance tax and accounting workflows through automation and intelligence.

About the Role As a Senior Software Engineer - AI, you will: Design and implement complex AI systems, including multi-component pipelines, Retrieval-Augmented Generation (RAG) architectures, and custom AI agents Build and maintain robust testing frameworks, monitoring solutions, and ethical AI practices to ensure system quality, reliability, and compliance Proactively identify risks and performance issues, using data-driven insights to recommend and implement improvements Collaborate closely with Product, UX, and Data/Science teams to align AI capabilities with business goals and translate requirements into technical solutions Conduct proof-of-concepts (POCs) to assess emerging technologies and validate innovative AI use cases Evaluate existing systems and propose architectural, scalability, and efficiency enhancements Continuously stay current with AI advancements and promote adoption of relevant tools and technologies Required Qualifications 5+ years of professional software engineering experience, including 1+ year focused on AI/ML Strong proficiency in Python, with experience developing web applications, distributed systems, and APIs Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow Solid understanding of modern AI systems, including RAG architectures, AI agents, and agent-based systems Experience integrating AI models into production environments using APIs and data pipelines Knowledge of vector databases, embeddings, and search-driven AI solutions Strong foundation in machine learning principles, model evaluation, system design, and MLOps across the full AI lifecycle Curiosity and enthusiasm for exploring new technologies and engineering approaches Preferred Qualifications 1-2 years of experience with AWS, including designing, deploying, and operating scalable cloud services (e.g., Lambda, S3, EC2) What's in It for You Hybrid Work Model: Flexible schedule with a mix of in-office and remote work Flexibility & Work-Life Balance: Supportive policies, including work-from-anywhere options for part of the year Career Development: Strong emphasis on continuous learning, skill development, and long-term growth in an AI-focused environment Competitive Benefits: Comprehensive benefits package including flexible vacation, mental health support, retirement savings, tuition reimbursement, and incentive programs Inclusive Culture: A workplace committed to inclusion, collaboration, and professional wellbeing Social Impact: Opportunities for paid volunteer time and participation in community and ESG initiatives Symbiotic Services is proud to represent this opportunity and is committed to a fair, inclusive, and human-centered recruitment process.