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Deep Learning Developer Jobs in Austin, TX (NOW HIRING)

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Lauretta AI LLC

Machine Learning Engineer L-1

Austin, TX · On-site

$80K - $93K/yr

Understanding of machine learning and deep learning fundamentals * Develop internal tooling as ... Support infrastructure engineering, security engineering, and architecture * Willing to learn and ...

Nvidia

Senior AI Inference Compiler Engineer

Austin, TX · On-site

$121K - $160K/yr

More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU ... NVIDIA is hiring software engineers for its Deep Learning & AI Compiler (DLC) team. Academic and ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ... Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

About Avride Avride is a US-based developer of autonomous vehicles and delivery robots. We develop ... This program is designed to give you a deep understanding of how to take a theoretical concept or ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Apple

Machine Learning Engineer

Austin, TX

$132K - $244K/yr

Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning ... Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and ...

Cisco

Principal Machine Learning Engineer

Austin, TX

$291K - $369K/yr

We combine deep AI research expertise with the scale and operational excellence of Splunk and Cisco ... Partner with executive leadership, engineering, product, and data science teams to ensure AI ...

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Deep Learning Developer information

See Austin, TX salary details

$17

$38

$50

How much do deep learning developer jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for deep learning developer in Austin, TX is $38.10, according to ZipRecruiter salary data. Most workers in this role earn between $32.40 and $42.40 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Deep Learning Developer, and why are they important?

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are Deep Learning Developers?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.

What is the difference between Deep Learning Developer vs Machine Learning Engineer?

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What are some common challenges Deep Learning Developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.
What cities near Austin, TX are hiring for Deep Learning Developer jobs? Cities near Austin, TX with the most Deep Learning Developer job openings:
Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer job openings in Austin, TX as of May 2026, with employment types broken down into 1% Locum Tenens, 31% Full Time, 62% Part Time, 5% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $79,254 per year, or $38.1 per hour.
Machine Learning Engineer, Apple Store Online

Machine Learning Engineer, Apple Store Online

Apple

Austin, TX • On-site

Full-time

Posted 10 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work...Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things...We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. You will lead the way on our Online Retail Decision Automation team by researching and developing the next generation of algorithms used to drive the Apple Online experience! This role spans central areas of our Apple Online Store including developing models for product search, recommendation systems (e.g. ranking, page generation), personalization (e.g. evidence, messaging, marketing), Generative AI and optimizing Apple-wide systems & infrastructure. As a member of the fast-paced team, you will have the outstanding and great opportunity to be part of a new projects and craft upcoming products that will delight and encourage millions of Apple's customers every day.
To be successful, you need a strong machine learning background, proven software development skills, a love of learning, and to collaborate with cross-functional teams, including researchers, engineers, data scientists/analysts, and product managers, to develop and implement machine learning algorithms. You'll mentor other MLE's and lead an effort to build scalable end-to-end machine learning solutions for our retail customers
Proficiency in one or more object-oriented programming languages such as Python, Java, C++ and experience building highly scalable distributed systemsHands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (eg: Spark, SQL, Snowflake/Hadoop, etc)Bachelors in a quantitative field, such as Computer Science, Applied Mathematics, Statistics, or Bachelors degree in quantitative field with a focus on AI in coursework
Understanding of machine learning model lifecycle from prototyping, feature engineering, training, inference, deployment, monitoring and continuous improvements via deep analysis)Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing including RAG based Generative AI and transformer architectureExperience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications a plusExperience with Spark, TensorFlow, Keras, and PyTorch a plusSkilled in communication, problem solving, strategic thinking

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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