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Remote Tensorflow Developer Jobs (NOW HIRING)

Huzzle

AI Engineer - Remote

You will work closely with product, engineering, and data teams to design intelligent systems ... Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or ...

ACS Consultancy Services

AI/ML Engineer

Albany, NY · Remote

Remote We are currently seeking candidates who meet the following qualifications. Key ... Build and optimize data pipelines and ML workflows using frameworks like TensorFlow, PyTorch ...

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or ...

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks ... SQL * TensorFlow, Keras, and/or PyTorch * Microsoft Azure cloud platform * DevOps and/or MLOps ...

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How much do remote tensorflow developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for remote tensorflow developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

What is a remote Tensorflow developer?

A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.

What are some typical challenges faced by remote Tensorflow developers, and how are these addressed?

Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.

What are the key skills and qualifications needed to thrive as a remote Tensorflow developer, and why are they important?

To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.

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Infographic showing various Remote Tensorflow Developer job openings in the United States as of September 2026, with employment types broken down into 25% Full Time, and 75% Contract. Highlights an 100% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

Android Software Engineer, Work From Home

San Francisco, CA • On-site, Remote

Parallel Partners
See more jobs at Parallel Partnersexternal

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

Company Description
Job Description
Android Software Engineer, Work From Home
We are looking for a talented Android Software Engineer to build and evolve mobile applications that power insurance and financial products. The Android Software Engineer will also contribute to features that leverage automation and AI-assisted capabilities where they improve user experience and operational efficiency. We have multiple openings for this position. This position is 100% Remote.
Android Software EngineerResponsibilities:
- Build and maintain production-grade Android applications using Kotlin.
- Design and implement intuitive, responsive mobile interfaces for insurance, payments, and customer workflows.
- Integrate backend APIs for quotations, policy management, claims, and transactional services.
- Contribute to mobile features that incorporate AI-assisted capabilities (e.g., chat experiences, recommendations, automation flows).
- Optimize application performance, responsiveness, battery usage, and memory efficiency across devices.
- Implement analytics, crash reporting, and user behavior tracking to improve product quality.
- Collaborate closely with backend, product, design, and AI/ML teams throughout the development lifecycle.
- Ensure stability, scalability, and security across production mobile systems.
- Continuously improving engineering standards, architecture, and mobile best practices.
- Deliver stable, high-performance Android experiences used at scale.
- Improve app reliability, responsiveness, and efficiency across devices.
- Reduce crashes and production incidents through better engineering practices.
- Ship mobile features confidently with strong system design and testing discipline.
- Enable AI-assisted product capabilities through mobile integration where applicable.
- Contribute to a scalable and maintainable mobile architecture.
Qualifications
Android Software EngineerQualifications:
- 3+ years of Android development experience using Kotlin.
- Strong understanding of Android architecture components and modern development practices.
- Proven experience shipping production Android applications.
- Strong knowledge of Coroutines, Flow, and asynchronous programming.
- Experience integrating RESTful APIs and working with distributed systems.
- Familiarity with mobile performance tuning and debugging in production environments.
- Exposure to AI-enabled mobile features (e.g., chat interfaces, recommendation systems, automation workflows) is a plus.
- Experience with on-device ML or frameworks such as TensorFlow Lite is a bonus.
- Strong ownership mindset with attention to detail and product quality.
- Published apps on the Google Play Store are an advantage.
- Tech Stack: Kotlin/Java, Android Jetpack (ViewModel, Compose/XML-based UI where applicable), Coroutines/Flow, RESTful APIs, SQL/NoSQL databases, and TensorFlow Lite/on-device ML frameworks.
Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.
Keywords: San Francisco CA Jobs, Android Software Engineer, AI-enabled Mobile Features, Android Applications, Android Jetpack, Asynchronous Programming, Automation Workflows, Chat Interfaces, Compose, Coroutines, Debugging, Distributed Systems, Flow, Google Play Store, Java, Kotlin, Machine Learning, NoSQL, Performance Tuning, RESTful APIs, SQL, TensorFlow Lite, ViewModel, XML, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting
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