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Software Engineer Ai Model Training Jobs in Texas

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · On-site

$100K - $500K/yr

... software models, compilers, platforms, networking, and semiconductors. Our diverse team of ... How to build compiler infrastructure that supports both training and inference at scale across ...

Northern Base

Generative AI Engineer

Irving, TX · On-site

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time ... Model Training, Evaluation & Optimization * AWS, Azure, or GCP Experience Key Responsibilities:

SwiftCruit

Staff Software Engineer - AI

Austin, TX · On-site

$180 - $240/hr

Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help ... Design and Develop AI Model Registry and AI applications. * Work to enhance developer velocity and ...

Vestwell

Manager, Software Engineer (AI)

Austin, TX

Deep understanding of modern AI and machine learning concepts, including large language models ... Strong understanding of software engineering best practices, including testing, observability ...

Tenstorrent

Software Engineer, AI Compiler

Austin, TX · Hybrid

$100K - $500K/yr

... real-world models. This role is hybrid based in Austin, TX. We welcome candidates at various ... How to build compiler infrastructure that supports both training and inference at scale across ...

Mindlance

Senior Software Engineer/ AI

Austin, TX · On-site

$121K - $160K/yr

... and data models into structured specs that guide AI-assisted implementation), and custom ... Bachelor's degree in Computer Science, Software Engineering, or related technical field, or ...

Mia

Software Engineer (AI/ML)

Austin, TX · On-site

$110 - $170/hr

About the Role We're hiring a Software Engineer (AI/ML) to work on our voice AI platform, the real ... You'll work on latency, model quality, cost, and reliability across the full AI stack, and help ...

BigCommerce Pty.

Lead Software Engineer - AI

Austin, TX · On-site

$163 - $245/hr

## Lead Software Engineer - AIApplyremote type: Remotelocations: Austin, TXtime type: Full timeposted ... Feedonomics has earned a strong reputation for a full-service model and powerful technology--all ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

BigCommerce Pty

Lead Software Engineer - AI

Austin, TX · On-site

$163 - $245/hr

## Lead Software Engineer - AIApplyremote type: Remotelocations: Austin, TXtime type: Full timeposted ... Feedonomics has earned a strong reputation for a full-service model and powerful technology--all ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

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Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

What are popular job titles related to Software Engineer Ai Model Training jobs in Texas?

For Software Engineer Ai Model Training jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ai Model Training jobs in Texas look for?

The top searched job categories for Software Engineer Ai Model Training jobs in Texas are:

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Cities in Texas with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you

Software Engineer (AML), AI & Data Platforms (AiDP)

Apple

Austin, TX

$113K - $136K/yr

Full-time

Re-posted 12 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Do you want to help build some of the largest and most consequential enterprise and customer technology systems in the world? Join Apple’s Information Systems and Technology (IS&T) organization. IS&T is the engine behind everything Apple does for customers and for the people who build for them. It’s Apple’s central nervous system. Supporting 2.5 billion active Apple devices, processing billions of secure transactions, and keeping the technology that defines modern life running flawlessly, IS&T makes the impossible feel effortless.Do you love building solutions to handle global complexity and immense scale? Imagine what you could do here.
AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.
Description
As a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within Apple. You will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apple’s products and services. You will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments. You will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domains. You will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration. You will also implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance. There are massive opportunities for you deliver impactful influences to Apple.
Preferred Qualifications
Experience in Anomaly detection and forecasting & related methodologies
Experience and proficiency in python & writing efficient SQLs.
Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
Proven experience with transformer models such as BERT, GPT etc., and a proven understanding of their underlying principles is a plus
Data Visualization Tools: Proficient in data visualization, with experience in software such as Superset, Streamlit, Tableau, Business Objects, and Looker
Minimum Qualifications
BS in Computer Science or related field or equivalent.
3+ years of machine learning engineering experience in feature engineering, model training, model serving, model monitoring and model refresh management.
Experience developing AI/ML systems at scale in production or in high-impact research environments.
Passionate about computer vision, natural language processing, especially in LLMs and Generative AI systems.
Knowledge with the common frameworks and tools such as PyTorch or TensorFlow.

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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