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Remote Tensorflow Developer Jobs in Sunnyvale, CA

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... algorithms, remote contactless biosensing together with end-to-end engineering services, and ... Experience with a deep learning framework such as Tensorflow, pyTorch, or equivalent * Experience ...

Neo4j

Consulting Engineer

San Mateo, CA · On-site +1

Ability to work independently in a remote, cross-functional organization * Curiosity and enthusiasm ... SciLearn, Keras, TensorFlow etc * Experience working with cloud platforms such as Amazon Web ...

Pinterest

Data Scientist

San Francisco, CA · On-site +1

... engineering challenges at the company. You will collaborate on a wide array of product and business ... Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or ...

Noblesoft Technologies

Gen AI Architect

Pleasanton, CA · Remote

Pleasanton , California (Remote) JD: We are seeking an experienced Generative AI Architect to lead ... Collaborate with cross-functional teams (engineering, product, design, data science) to integrate ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Prompt Engineering * Hands-on experience with PyTorch and/or TensorFlow. * Prior experience in B2B ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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All JobsTensorflow Developer JobsRemote Tensorflow Developer JobsRemote Tensorflow Developer Jobs in Sunnyvale, CA

Remote Tensorflow Developer information

See Sunnyvale, CA salary details

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$62

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How much do remote tensorflow developer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote tensorflow developer in Sunnyvale, CA is $62.01, according to ZipRecruiter salary data. Most workers in this role earn between $47.40 and $75.91 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.

What are popular job titles related to Remote Tensorflow Developer jobs in Sunnyvale, CA?

For Remote Tensorflow Developer jobs in Sunnyvale, CA, the most frequently searched job titles are:

What job categories do people searching Remote Tensorflow Developer jobs in Sunnyvale, CA look for?

The top searched job categories for Remote Tensorflow Developer jobs in Sunnyvale, CA are:

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Remote Tensorflow Developer jobs near you
Infographic showing various Remote Tensorflow Developer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 77% Full Time, 9% Part Time, and 14% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $128,990 per year, or $62 per hour.

Software Engineer - AI Platform (US)

genious ai

Santa Clara, CA • On-site, Remote

Full-time

PTO

Re-posted 9 days ago

Job description

About us
We intend to defy the cliches while living them. Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial workflows using AI. You will be instrumental in shaping this cutting edge AI product owning features from design to launch.
Change the world working for a scrappy, data-driven, and customer-focused startup that's revolutionizing financial operations with AI-driven workflow automation. We're looking for software engineers with solid foundations in building production systems and a strong applied AI focus. You will be responsible for building functionalities into the product directly and writing production-grade code that brings advanced AI workflows into real-world use.
As an engineer at Genios, you'll focus on making minimum loveable products powered by AI-building scalable, reliable, and user-friendly systems. You'll work across model pipelines, infrastructure, and product layers, but with a clear emphasis on applied AI delivered in production. This role requires ownership, hands-on coding, and the ability to move fast while balancing robustness and innovation.
We have full-time roles available with remote work flexibility, hybrid, or on-site based on your preferences and seniority.
Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Key Responsibilities
  • Build and scale AI/ML and GenAI pipelines from experimental workflows to production-ready systems.
  • Integrate model training, evaluation, deployment, and monitoring into product workflows
  • Deploy and manage GenAI solutions such as chatbots, RAG applications, and predictive analytics tools.
  • Operationalize LLMs and AI agents, including prompt orchestration, chaining, and fine-tuning.
  • Benchmark models, develop evaluation frameworks, and improve reliability and auditability.
  • Implement observability, monitoring, and rollback mechanisms to ensure secure, scalable deployments.
  • Work across the stack-from backend systems to product SDKs-to deliver AI features directly into user-facing applications.
  • Prototype rapidly, gather feedback, and iterate while keeping scale and maintainability in mind.
  • Own critical product components and take responsibility for delivering robust, production-grade features.
  • Collaborate cross-functionally with data scientists, product managers, and engineers to scope specifications and solve real customer problems.
  • Debug complex issues and perform root cause analysis across model pipelines, infrastructure, and product layers to ensure reliability and continuous improvement.

Qualifications
  • BS or MS in Computer Science, Statistics, or Mathematics, or equivalent experience.
  • Strong software engineering background with proven experience shipping production systems.
  • 3+ years of experience in ML/DL pipelines, deployment, and applied AI solutions.
  • Proficiency in Python or Go with frameworks like TensorFlow, PyTorch, Scikit-Learn, FastAPI, or gRPC.
  • Experience with LLM and AI frameworks such as Langchain, LlamaIndex, Hugging Face Transformers, and OpenAI API.
  • Knowledge of RAG architectures, embeddings, reranking models, and LLM-based dialogue systems.
  • Experience building and scaling backend platforms, APIs, and microservices.
  • Comfortable working full-stack, from model APIs down to user-facing integrations.
  • Have shipped AI features that users actually use; production experience over theoretical knowledge.
  • Track record of building reliable products with strong attention to detail and usability.
  • Autonomous and excited about taking ownership over major initiatives.
  • Frequent user of AI products (Cursor, Claude Code, Copilot, etc.) during the development lifecycle.

Bonus Points
  • Production experience with LLMs (APIs or custom implementations) at meaningful scale.
  • Experience building agentic systems or LLM-enabled products.
  • Familiarity with prompt tuning methodologies and frameworks like self-prompting, DSPy, or Banks.
  • Experience with performance optimization and high-scale document indexing systems.
  • Prior startup experience, grit, and ability to thrive in fast-moving environments.
  • Familiarity with databases and comfortable writing SQL queries.

Note: This remote position requires monthly travel to the Bay area or Seattle for in person team meetings.
Perks
  • Competitive Compensation
  • Unlimited PTO
  • AI Assistants for work (Coding, General Purpose, etc.)

Apply