ZipRecruiter

Log In

1

Tensorflow Js Jobs (NOW HIRING)

Inherent Technologies

AI Architect

San Jose, CA · On-site

... js). Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Proficiency in developing and deploying AI/ML models in cloud ...

Inherent Technologies

AI Architect

San Jose, CA · On-site

... js). Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Proficiency in developing and deploying AI/ML models in cloud ...

Weekday AI

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular ... Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch ...

Weekday AI

Full Stack Engineer

San Francisco, CA

$180K - $250K/yr

Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular ... Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch ...

Weekday AI

Full Stack Engineer

San Francisco, CA

$180K - $250K/yr

Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular ... Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch ...

Sonsoft Inc

Data Scientist (No H1B)

Chicago, IL

... Torch, Tensorflow, scikit-learn, xgboost), visualization (e.g., matplotlib, ggplot, vega, d3.js) or data processing (e.g., Spark, Stanford CoreNLP, gensim) Relational database and SQL skills ...

Futran Tech Solutions Pvt. Ltd.

AI Expert

... js/Java/Serverless), * cloud platforms (AWS/GCP/Azure), * front-end frameworks (e.g., React/React ... Learn, TensorFlow, and PyTorch * Broaden ML Domain Knowledge: Practical experience or solid ...

Photon

Agentic AI FDE

Irving, TX · Remote

$14.50 - $17.25/hr

... JS/NodeJS or .NET/C# is a plus) * Architecture and systemdesign experience , with a proven track ... TensorFlow, or PyTorch) * Experience designing and building scalable ML/AI systems using APIs ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with React, Angular, Vue.js, and ...

Redolent

AI/ML Engineer

Phoenix, AZ

Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of Google Cloud and Azure. * Front-End Frameworks/Libraries : Experience with React, Angular, Vue.js, and ...

ePATHUSA, Inc.

Sr. AI Engineer

Houston, TX · On-site

Collaborate with data scientists to integrate machinelearning models (e.g., using TensorFlow ... js) and CSS frameworks like Tailwind CSS. * GenerativeAI Development: Design and implement ...

KORE1 Technologies

Sr Full Stack Engineer

Irvine, CA · On-site

Expertise in JavaScript frameworks like Angular.js, Vue.js or React.js for building single-page ... Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face ...

KORE1 Technologies

Sr Full Stack Engineer

Irvine, CA · On-site

Expertise in JavaScript frameworks like Angular.js, Vue.js or React.js for building single-page ... Knowledge in Python and relevant libraries/frameworks such as TensorFlow, PyTorch, Hugging Face ...

next page

Showing results 1-20

All JobsTensorflow Js Jobs

Tensorflow Js information

See salary details

$11

$26

$87

How much do tensorflow js jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for tensorflow js in the United States is $26.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $21.15 per hour, depending on experience, location, and employer.

What are some common projects or tasks a TensorFlow.js developer typically works on?

As a TensorFlow.js developer, you may work on projects such as building browser-based machine learning models, integrating real-time data predictions into web applications, or converting existing Python-trained models to run client-side. Day-to-day tasks often include designing user interfaces for model interaction, optimizing model performance within browser constraints, and collaborating closely with front-end and back-end teams to deliver seamless user experiences. This role is highly collaborative, and successful developers frequently communicate with product managers or data scientists to align technical implementation with business objectives. There is also significant opportunity to stay updated on the latest web ML trends and contribute to cross-functional innovation within your team.

What are the key skills and qualifications needed to thrive in the Tensorflow Js position, and why are they important?

To thrive in a TensorFlow.js role, you need strong JavaScript programming skills, an understanding of machine learning concepts, and experience developing web applications. Familiarity with TensorFlow.js libraries, browser-based coding environments, and version control systems like Git is highly beneficial. Excellent problem-solving abilities, collaborative teamwork, and effective communication skills help you succeed in fast-paced, multidisciplinary settings. These capabilities are essential for building interactive machine learning solutions that integrate seamlessly with modern web apps and meet real-world business needs.

What is a TensorFlow.js job?

A TensorFlow.js job typically involves developing, deploying, and optimizing machine learning models that run directly in the browser or on Node.js. Professionals in this role work with JavaScript, TensorFlow.js, and related web technologies to build AI-powered applications. Responsibilities may include training models, converting existing TensorFlow models to TensorFlow.js, and improving model performance for web-based environments.

More about Tensorflow Js jobs
What are the most commonly searched types of Tensorflow Js jobs? The most popular types of Tensorflow Js jobs are:
What states have the most Tensorflow Js jobs? States with the most job openings for Tensorflow Js jobs include:
What job categories do people searching Tensorflow Js jobs look for? The top searched job categories for Tensorflow Js jobs are:
Tensorflow Js jobs near you
Infographic showing various Tensorflow Js job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 82% Full Time, 4% Part Time, and 13% Contract. Highlights an 75% Physical, 4% Hybrid, and 21% Remote job distribution, with an average salary of $55,080 per year, or $26.5 per hour.

Senior Machine Learning Engineer

NxT Level

Manhattan, NY • On-site

$133K - $176K/yr

Full-time

Posted 15 days ago

Job description

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team.
If you're excited about the future of video, audio, video content moderation, and more then you should reach out.
Core Challenges:
  • Mobile Video Streaming: The app is designed to ingest high-quality, low-latency video, transcode, and redistribute it to external media seamlessly.
  • Radio Hardware: Development of proprietary software-defined radio-based devices to capture all radio dispatches in every major city, covering both analog and digital signals.

Preferred Qualifications
  • A degree in Computer Science, Machine Learning, or a related field, or equivalent professional experience.
  • A strong theoretical foundation in core Machine Learning concepts and techniques.
  • Proficiency in fundamental principles of Linear Algebra, Statistics, and Probability.
  • Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks.
  • Familiarity with DL software frameworks like TensorFlow or PyTorch.
  • At least 3 years of experience leading and implementing effective ML solutions in large scale production environments.

Technology Environment: Go for Transactional Systems and Python for Analytic Systems running on a Kubernetes Infrastructure in GCP. Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and Typescript.

Apply