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Ai Algorithm Engineer Jobs in Texas (NOW HIRING)

... algorithm benchmarking, and model validation to ensure accuracy and robustness. • Develop high‑performance AI applications using Python, C++, JavaScript, and embedded programming languages. • ...

... 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 ...

Role: AI-Augmented Full Stack Engineer Duration: 12+ Months Location: Austin, TX Key ... Apply strong computer science fundamentals including data structures, algorithms, distributed ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

The ideal candidate should have strong expertise in machine learning algorithms, data processing ... developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor ...

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 ...

About the Role We are hiring AI Engineers (Software) to help us build the product and platform. In ... Design and implement algorithms specifically for AI agents, utilizing your Typescript expertise and ...

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ... AI/ML systems, or performance engineering. With competitive salaries and a generous benefits ...

Senior Compiler Engineer - AI

Austin, TX · On-site

$121K - $160K/yr

Deep familiarity with reinforcement learning, genetic/evolutionary algorithms, predictive modeling ... AI/ML systems, or performance engineering. With competitive salaries and a generous benefits ...

AI/ML Engineer 1

Austin, TX · On-site

$55 - $60/hr

Research, prototype, and deliver AI-assisted solutions for engineering tasks across mechanical ... Document workflows, algorithms, and solutions clearly enough that another engineer can pick up and ...

The Gen AI Solution Engineer role involves leveraging generative AI technologies to build scalable ... refine algorithms to meet business needs. • Review plan for smooth deployment into scalable ...

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Ai Algorithm Engineer information

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 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 Texas? For Ai Algorithm Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Texas look for? The top searched job categories for Ai Algorithm Engineer jobs in Texas are:
What cities in Texas are hiring for Ai Algorithm Engineer jobs? Cities in Texas with the most Ai Algorithm Engineer job openings:
Infographic showing various Ai Algorithm Engineer job openings in Texas as of July 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
AI Engineer III

Full-time

Re-posted 6 days ago


Terex rating

8.5

Company rating: 8.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

67th of 429 rated machine equipment manufacturers


Job description

Job Summary:
Terex Corporation is a global leader in specialized equipment solutions, and they are seeking an AI Engineer III to serve as a senior technical expert responsible for designing, developing, and deploying advanced AI and machine learning solutions. This role will lead complex model-development initiatives and architect scalable AI systems to enhance operational efficiency and real-time intelligence for customers.
Responsibilities:
• Architect, build, and optimize large‑scale AI systems, including advanced computer vision, deep learning, and real‑time inference models.
• Lead development and deployment of AI models on embedded and edge devices, ensuring performance, reliability, and low‑latency operation.
• Design and maintain scalable data pipelines, training workflows, and automated model‑evaluation processes.
• Conduct advanced statistical analysis, algorithm benchmarking, and model validation to ensure accuracy and robustness.
• Develop high‑performance AI applications using Python, C++, JavaScript, and embedded programming languages.
• Integrate AI systems with firmware, cloud services, and enterprise applications.
• Evaluate emerging AI technologies, frameworks, and tools to drive innovation and continuous improvement.
• Ensure AI systems meet security, compliance, and ethical standards.
• Document AI architectures, model performance, and deployment processes.
• Present progress, risks, and results to leadership and stakeholders.
Qualifications:
Required:
• Bachelor’s degree or higher in Computer Science, Electrical Engineering, or related field
• 5–8+ years of experience in AI/ML engineering
• Expert‑level proficiency in Python
• Strong experience with C++ and JavaScript
• Strong Linux proficiency and experience developing for embedded systems
• Deep understanding of relational databases (MySQL, SQL Server, Snowflake)
• Strong experience with Agile development, CI/CD pipelines, and test‑driven development (TDD)
• Proficiency with ETL processes, data modeling, and large‑scale data handling
• Advanced knowledge of Pandas, NumPy, and modern ML frameworks (TensorFlow, PyTorch, ONNX)
• Strong understanding of version control (Git) and build tools (Jenkins)
• Demonstrated ability to lead complex technical initiatives with minimal supervision
• Strong analytical, mathematical, organizational, and problem‑solving skills
• Ability to collaborate across teams and drive development of new functionality
Preferred:
• Master’s degree in Computer Science, Electrical Engineering, or related field
Company:
Terex Corporation is a global leader in specialized equipment solutions, serving essential sectors such as emergency services, waste and recycling, utilities, and construction. Founded in 1968, the company is headquartered in Westport, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Terex employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Terex logo

About Terex

Sourced by ZipRecruiter

Terex Corporation, based in Norwalk, CT, US, operates in the global equipment manufacturing industry, specializing in lifting and material handling solutions. Their vast product lineup includes diverse equipment ranging from aerial work platforms, cranes, and material handlers to crushers, conveyors, and more. The business was founded in 1933 as Euclid Company and rebranded as Terex in 1970. Its goal is to provide solutions that drive value for customers and investors through a commitment to innovation, operational excellence, and corporate responsibility.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Norwalk, CT, US

Year founded

1933

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