ZipRecruiter

Log In

1

Python Tensorflow Numpy Jobs (NOW HIRING)

Amazon

Senior Applied Scientist, ASCS AI Lab Team

Seattle, WA · On-site

$104K - $142K/yr

... Python or related language - Experience with neural deep learning methods and machine learning ... Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop ...

Unique System Skills LLC

AI/ML Engineer

Tampa, FL

minimum 8+ yrs of experience Strong proficiency in Python and ML libraries (NumPy, Pandas ... with deep learning frameworks (TensorFlow, PyTorch, or Keras) Working knowledge of data ...

New

Zifo

Data Engineer/Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

The role requires strong expertise in Python, SQL/NoSQL, AWS, FastAPI, and Benchling, along with ... NumPy, and scikit-learn (exposure to TensorFlow or PyTorch is a plus) * Exposure to life sciences ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Amazon

Sr. Applied Scientist , Amazon

Seattle, WA · On-site

... Python or related language - Experience with neural deep learning methods and machine learning ... Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop ...

Point72

Quantitative Software Developer

New York, NY · On-site

Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) * Proficiency with Linux * Hands-on experience with software architecture and engineering ...

Point72

Quantitative Software Developer

New York, NY · On-site

Experience contributing to core Python numerical libraries is a huge plus (numpy, tensorflow, torch, jax) * Proficiency with Linux * Hands-on experience with software architecture and engineering ...

next page

Showing results 1-20

People also search for

All JobsPython Tensorflow Numpy Jobs

Python Tensorflow Numpy information

See salary details

$13

$58

$86

How much do python tensorflow numpy jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for python tensorflow numpy in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are some common challenges faced when working with Python, TensorFlow, and NumPy in a production environment?

Professionals using Python, TensorFlow, and NumPy in production often encounter challenges such as managing dependencies and package versions, optimizing model performance for real-time inference, and ensuring seamless integration with existing data pipelines. Debugging and tracking numerical errors or inconsistencies across different environments can also require extra attention. Collaborating effectively with data engineers, DevOps, and other team members is crucial to deploy robust machine learning solutions that scale reliably.

What are Python TensorFlow and NumPy?

Python is a versatile programming language widely used in data science and machine learning. TensorFlow is an open-source library developed by Google for numerical computation and building machine learning models, especially deep learning. NumPy is a popular Python library for numerical operations, providing support for large, multi-dimensional arrays and matrices. Together, these tools enable efficient development of machine learning algorithms and data processing workflows.

What is the difference between Python Tensorflow Numpy vs Data Scientist?

AspectPython Tensorflow Numpy
Primary FocusData manipulation, numerical computing, machine learning model development
Required SkillsPython programming, data analysis, machine learning frameworks
Work EnvironmentData science teams, AI research, software development
Common UsageBuilding and training machine learning models, data preprocessing

Python Tensorflow Numpy are tools and libraries used within data science roles to develop machine learning models and analyze data. Data Scientists utilize these tools to process data, build models, and derive insights, making their work heavily reliant on such technologies. While Python Tensorflow Numpy are technical libraries, Data Scientists are professionals who apply these tools in real-world projects, often combining them with statistical analysis and domain expertise.

What are the key skills and qualifications needed to thrive as a Python TensorFlow/Numpy Developer, and why are they important?

To thrive as a Python TensorFlow/Numpy Developer, you need strong programming skills in Python and a solid understanding of machine learning concepts, supported by relevant education or certifications in computer science, data science, or related fields. Familiarity with TensorFlow, Numpy, and version control systems like Git is typically required, along with experience using Jupyter notebooks and cloud platforms. Problem-solving abilities, attention to detail, and effective communication skills help developers translate data requirements into robust, scalable solutions. These skills are critical for building accurate machine learning models and collaborating efficiently within development teams or with stakeholders.
Infographic showing various Python Tensorflow Numpy job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Senior Applied Scientist, ASCS AI Lab Team

Senior Applied Scientist, ASCS AI Lab Team

Amazon

Seattle, WA • On-site

$104K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,823 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

We are seeking a Senior Applied Scientist to join our team in developing pioneering AI research, Generative AI, Agentic AI, Large Language Models (LLMs), Diffusion and Flow Models, and other advanced Machine Learning and Deep Learning solutions for Amazon Selection and Catalog Systems, within the AI Lab Team. This role offers a unique opportunity to work on AI research and AI products that will shape the future of online shopping experiences.
Our team operates at the forefront of AI research and development, working on challenges that directly impact millions of customers worldwide. We push the boundaries of AI at both the foundational and application layers. As a Senior Applied Scientist, you will have the chance to experiment with LLMs and deep learning techniques, apply your research to solve real-world problems at an unprecedented scale, and collaborate with experienced scientists to contribute to Amazon's scientific innovation.
Join us in redefining the future of shopping. Your work will directly influence how customers interact with the world's largest online store.
Key job responsibilities
- Design and implement novel AI solutions for Amazon catalog of products
- Develop and train state-of-the-art LLMs, Diffusion Models, and other Generative AI models
- Build and deploy autonomous AI Agents in Amazon production ecosystem
- Scale AI models to handle billions of diverse products across multiple languages and geographies
- Conduct research in areas such as Autonomous AI Agents, Generative AI, Language Modeling, Multi-modality Computer Vision, Diffusion Models, Reinforcement Learning
- Collaborate with cross-functional teams to integrate AI models into Amazon's production ecosystem
- Contribute to the scientific community through publications and conference presentations
BASIC QUALIFICATIONS
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

View All Amazon Jobs

Apply