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Remote Tensorflow Developer Jobs in Sunnyvale, CA

Tenstorrent

Field Sales Engineer

Santa Clara, CA · On-site +1

$100K - $500K/yr

This role is remote based out of North America with preference near one of our main hubs Santa ... TensorFlow. * Experience with embedded systems, FPGA Architecture or AI accelerators. * Good ...

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 ...

6sense

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$200K - $260K/yr

Hands-on work with PyTorch or TensorFlow. * Background in B2B SaaS, enterprise AI products, or ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

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 ...

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Remote Tensorflow Developer information

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$62

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How much do remote tensorflow developer jobs pay per hour?

As of Sep 7, 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.

Senior Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp, Inc

San Francisco, CA • Remote

$144K - $190K/yr

Full-time

Re-posted 23 days ago

Yelp rating

6.9

Company rating: 6.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

203rd of 247 rated software companies

Job description

Yelp engineering culture is driven by our values: we’re a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we’re all about helping our users, growing as engineers, and having fun in a collaborative environment.

Yelp’s mission of connecting people with great local businesses requires the use of cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) to scale across a vast and diverse base of users and businesses spanning various geographical locations. As a Staff-level ML Engineer on the Content Contributor Intelligence team, you will help build connections across millions of users and business listings. Your work will involve using cutting-edge industry tools, including neural networks (NNs), large language models (LLMs), and various embedding techniques for text, images, and videos. Additionally, you will apply traditional ML methods such as XGBoost and linear models to enhance our systems.  You’ll be responsible for turning raw data into valuable signals and building ML systems end-to-end. This includes the full ML lifecycle from training models to deploying them in production, as well as contributing to the ML platforms these models rely on. 

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.


  • Conduct end-to-end analyses, wrangling data via SQL or Python, to statistical modeling, to hypothesizing and presenting business ideas.
  • Mentor and guide junior engineers, fostering a culture of learning and technical excellence.
  • Work with large and complex textual and visual datasets.
  • Support the development and deployment of projects involving machine learned models for offline, batch-based data products as well as models deployed to online, real-time services.
  • Work in the contributor and visual intelligence team on text and visual understanding, along with fine tuning transformer models to derive embeddings for multiple input types
  • Productionize and automate model pipelines within Python services.
  • Drive and advocate adoption of best practices in ML development and operations, and mentor newer engineers in those practices.

  • Experience developing and productionizing machine learning models, particularly in neural networks, computer vision and LLMs including their supported data pipelines.
  • Experience with machine learning using packages such as PyTorch, TensorFlow, Spark MLlib, XGBoost, and Sklearn.
  • Strong coding skills in Python or equivalent (Java, C++).
  • Solid understanding of engineering and infrastructure best practices.
  • The curiosity to uncover promising solutions to new problems, and the persistence to carry your ideas through to an end goal.
  • We highly value experience of working with LLMs, utilizing LLM APIs (OpenAI, Bedrock, etc), prompt engineering and evaluation.
  • A Bachelor’s Degree or an equivalent work experience is required

  • There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience. Based on the anticipated level of experience we are seeking, we expect the compensation range for this role to be between $112,000 and $269,000. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!

At Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education — and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include “Playing Well With Others” and “Authenticity.”
 
We’re proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.
 
Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience. 
 
We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California).
 
Where required by law, a criminal background check will not be conducted until after a conditional offer of employment is made, and any evaluation of a candidate's criminal background check will be subject to an individualized assessment that takes into account the candidate's specific criminal records and the responsibilities and requirements of the particular role.
 
We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488.
 
Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes.
 
US Recruiting and Applicant Privacy Notice
 
Notice to Washington Applicants - Washington State Fair Chance Act
 
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