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Ai Algorithm Engineer Jobs in Dallas, TX (NOW HIRING)

... and AI algorithms within existing Mobile Apps. * Contribute to the design and development of AI ... engineering strategies for LLMs * Collaborate with cross-functional teams to understand project ...

Sr Gen AI Engineer

Coppell, TX · On-site

$87K - $140K/yr

Senior Software Engineer ( Gen AI) Location : Coppell, TX - Hybrid role - LOCALS ONLY ( Min 2 days ... Document code, algorithms, and methodologies for reproducibility and knowledge sharing. * Stay ...

Sr Gen AI Engineer

Dallas, TX · On-site

$87K - $140K/yr

Senior Software Engineer ( Gen AI) Location : Coppell, TX - Hybrid role - LOCALS ONLY ( Min 2 days ... Document code, algorithms, and methodologies for reproducibility and knowledge sharing. * Stay ...

Senior AI/ML Engineering Location: Plano, Texas Years of Experience: 10 to 15 Years Rate: Job ... Implement machine learning algorithms and models to solve complex business problems. Conduct code ...

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

As a CBRE Senior AI Engineer, you will be instrumental in designing, building, deploying, and ... In-depth understanding of machine learning algorithms, deep learning architectures, and their ...

Java AI/ML Developer

Plano, TX · Hybrid

$49 - $63.50/hr

Hiring: Java AI/ML Developer Type: Hybrid Location: Plano, TX We are looking for an experienced ... Strong understanding of machine learning algorithms, model evaluation, and data processing

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Ai Algorithm Engineer information

See Dallas, TX salary details

$58.9K

$110.4K

$200.8K

How much do ai algorithm engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for ai algorithm engineer in Dallas, TX is $110,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,600.00 and $131,100.00 per year, depending on experience, location, and employer.

How much do AI automation engineers make?

AI automation engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning, deep learning, and programming languages like Python or TensorFlow tend to have higher salaries.

What are some common challenges AI Algorithm Engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI Algorithm Engineer, and why are they important?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What does an AI algorithm engineer do?

An AI algorithm engineer designs, develops, and optimizes algorithms that enable machines to perform tasks such as learning, reasoning, and decision-making. They work with machine learning models, data processing, and programming languages like Python or C++, often using tools like TensorFlow or PyTorch, to create effective AI solutions. Strong analytical skills and knowledge of data structures are essential for this role.

What engineers make $500,000?

Senior AI algorithm engineers with extensive experience, advanced skills in machine learning, deep learning, and data science, and often working in high-demand industries or at leading tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a highly senior or specialized role such as an AI research director, chief AI officer, or senior machine learning executive, often in large tech companies or financial institutions. These positions usually require extensive experience, advanced skills in machine learning, deep learning, and data science, and may include leadership responsibilities and strategic decision-making.

What are AI Algorithm Engineers?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Dallas, TX? For Ai Algorithm Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Dallas, TX look for? The top searched job categories for Ai Algorithm Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Ai Algorithm Engineer jobs? Cities near Dallas, TX with the most Ai Algorithm Engineer job openings:
Software Engineering Intern

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Posted 3 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

10th of 16 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Copart is looking for a talented and enthusiastic Mobile Developer Intern with knowledge of deploying AI / ML solution on Mobile Apps. In this role, you will focus on developing cutting-edge AI solutions, with a particular emphasis on LLM and generative AI, which will be integrated with existing Copart Mobile Apps. You'll work alongside experienced professionals to create and implement AI-driven features that enhances our Mobile apps and services it provides.
Key Responsibilities:
  • Develop and maintain mobile applications with a focus on AI, LLM, and generative AI integration.
  • Assist in the implementation of machine learning models and AI algorithms within existing Mobile Apps.
  • Contribute to the design and development of AI-powered features using LLMs and generative AI techniques integrated with React Native Mobile Applications.
  • Assist in developing and implementing prompt engineering strategies for LLMs
  • Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions
  • Conduct experiments and analyze results to improve AI model performance and integration
  • Stay up-to-date with the latest advancements in AI, particularly in LLM and generative AI technologies
  • Contribute to documentation, testing, and deployment of AI-enhanced software mobile applications
  • Participate in code reviews and follow best practices in software development

Qualifications:
  • Basic understanding of machine learning concepts, particularly in natural language processing and generative AI.
  • Familiarity with front end apps and keen in working on apps based on React JS/React Native.
  • Hands on with JavaScript language and technologies such as React-Native, ReactJS and Node.js.
  • Knowledge with SOAP and Restful Services.
  • Knowledge of data structures, algorithms, and software design principles

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At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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