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Keras

Data Science, Analytics and AI/ML

Keras is a high-level, open-source neural network API written in Python that provides a user-friendly interface for building and training deep learning models. Originally created by François Chollet, it now serves as the primary high-level API for TensorFlow while also supporting other backends like JAX and PyTorch. Data scientists and machine learning engineers favor it for its simplicity in quickly prototyping models like CNNs and RNNs without writing extensive low-level code.

Keras in the job market

Last checked October 30, 2026

Open roles
13

on Career App

Employers
10

hiring for it

Median pay
—

not enough disclosed

Disclose pay
—

of these roles

Open roles requiring Keras (13)

Ibotta

Data Scientist, Strategic Partner Analytics

Ibotta

Full-time · Denver, CO · $110,000 – $130,000 · Remote

This role owns end-to-end uplift modeling for Ibotta's customer retention programs, from stakeholder collaboration through production deployment and monitoring. It's ideal for someone with 2+ years of data science experience who wants to balance technical depth in machine learning with cross-functional impact on marketing strategy.

Listed on Ibotta’s careers site · Apply there ↗

NVIDIA

NVIDIA 2027 Internships: Autonomous Vehicles and Robotics

NVIDIA

Internship · Santa Clara, CA · $20 – $71 / hour

NVIDIA is offering 12-week full-time internships for students working on autonomous vehicles and robotics projects, including deep neural network development, dataset collection, and software infrastructure work. The role suits ambitious students pursuing a bachelor's, master's, or doctorate in engineering or computer science who want hands-on experience with cutting-edge AI and robotics systems.

Listed on NVIDIA’s careers site · Apply there ↗

Data Scientist

Auto-Owners Insurance

Lansing, MI

This role involves building statistical and machine learning models to solve insurance business problems and improve decision-making across the company. It suits someone with a quantitative background and 2-4 years of professional modeling experience who wants to work collaboratively on high-impact analytics in a hybrid environment.

Listed on Auto-Owners Insurance’s careers site · Apply there ↗

AeroVironment

Senior Machine Learning Engineer

AeroVironment

Full-time · $129,500 – $197,500

This role develops computer vision and machine learning algorithms for defense and commercial applications, working on detection, classification, and tracking systems for autonomous platforms. It suits experienced machine learning engineers comfortable with both traditional ML pipelines and deep learning, who can bridge algorithm research with real-world deployment on embedded systems.

Listed on AeroVironment’s careers site · Apply there ↗

Sr Data Scientist

The Hershey Company

Dallas, TX

A senior data scientist role at Hershey's where you'll own end-to-end machine learning and optimization projects, developing production-ready models that directly influence consumer products and business strategy. This is for an experienced individual contributor who can translate business problems into rigorous scientific solutions while working across engineering, product, and business teams.

Listed on The Hershey Company’s careers site · Apply there ↗

AIエンジニア

Accenture

Full-time

This role develops AI-powered business transformation solutions for enterprise clients, combining artificial intelligence with industry expertise across the full software development lifecycle from requirements through operations. It suits engineers with system integration experience who want to work on large-scale projects using generative AI while building skills in modern cloud and data technologies.

Listed on Accenture’s careers site · Apply there ↗

Sr. Engineer, Machine Learning/Artificial Intelligence

Starz

Denver, CO · $150,000 – $180,000

STARZ is seeking a senior machine learning engineer to extract actionable insights from their streaming platform's operational data using advanced analytics, anomaly detection, and generative AI techniques. This role suits someone with deep experience applying ML models to large-scale telemetry and is positioned to shape how the company's engineering teams respond to data-driven signals.

Listed on Starz’s careers site · Apply there ↗

Staff System Software Engineer - Embedded AI & Algorithm

Ambarella

US Headquarters · $160,000 – $183,000

This role develops machine learning and computer vision algorithms for edge AI processors used in autonomous vehicles, surveillance cameras, and drones. It suits engineers with deep learning expertise who want to optimize neural networks for real-time performance on embedded devices.

Listed on Ambarella’s careers site · Apply there ↗

Senior Machine Learning (ML) Engineer (AI Insurtech)

Plug n Play Portfolio

Full-time · New York, NY · $190,000 – $225,000 · Remote

EvolutionIQ seeks a Senior Machine Learning Engineer to build production ML models for insurance claims, working on novel problems in time series forecasting and NLP with access to large structured and unstructured datasets. This role suits engineers who thrive on unsolved technical challenges and want to own the full lifecycle from data exploration through model deployment in a high-growth insurtech environment.

Listed on Plug n Play Portfolio’s careers site · Apply there ↗

Intuit

AI Scientist 2

Intuit

Atlanta, GA

An AI scientist position focused on developing and deploying machine learning models to power marketing and personalization features. This role suits someone with advanced training in a technical field who wants hands-on experience across the full ML lifecycle, from research through production, while collaborating closely with product and engineering teams.

Listed on Intuit’s careers site · Apply there ↗

View all 13 on Jobs

Asked for alongside Keras

Measured from the 13 open roles that name Keras — not from a curated list.

Employers hiring for Keras

10 in total, most open roles first.

Related skills

Curated neighbors in the taxonomy, whether or not employers ask for them together.

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