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

Senior AI Engineer

Houston, TX ยท On-site

$99K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to ... Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas ...

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

Identify and iterate on AI algorithms based on client feedback to reach a final outcome based on a "Value-Driven" design. * KPI Engineering: Define the Key Performance Indicators (KPIs) and target ...

Diverse Lynx is seeking an experienced AI/ML Software Engineer to design, develop, and deploy ... Learning algorithms, Deep Learning, Classification, Regression, Time Series, Neural Networks ...

New

Develop algorithms for walking, balance, and bipedal movement control systems * Perception Systems ... Genuine curiosity and passion for robotics, AI, or autonomous systems * Eagerness to learn and ...

... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... Tune algorithm hyper-parameters and perform model training and validation * Create workflows to ...

... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... Tune algorithm hyper-parameters and perform model training and validation * Create workflows to ...

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

SDLC Engineer - AI Trainer

Sugar Land, TX ยท Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

SDLC Engineer - AI Trainer

Houston, TX ยท Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

SDLC Engineer - AI Trainer

Pasadena, TX ยท Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

SDLC Engineer - AI Trainer

Pearland, TX ยท Remote

$50 - $100/hr

... AI models to take on programming tasks that include creating and solving challenging coding ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

AI ML Operations Engineer

Houston, TX

$66K - $89K/yr

... of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in ... Ability to express the intuition behind basic ML algorithms * Experience performing basic hyper ...

AI ML Operations Engineer

Houston, TX ยท On-site

$66K - $89K/yr

... of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in ... Ability to express the intuition behind basic ML algorithms * Experience performing basic hyper ...

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Ai Algorithm Engineer information

See Friendswood, TX salary details

$52.1K

$97.7K

$177.6K

How much do ai algorithm engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for ai algorithm engineer in Friendswood, TX is $97,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $115,900.00 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 cities near Friendswood, TX are hiring for Ai Algorithm Engineer jobs? Cities near Friendswood, TX with the most Ai Algorithm Engineer job openings:

Senior AI Engineer

Pivotal Solutions

Houston, TX โ€ข On-site

$99K - $137K/yr

Full-time

Posted 3 days ago


Job description

Job Description
Responsibilities
  • Design, develop, and deploy advanced AI and machine learning models to solve complex business problems across diverse domains.
  • Collaborate with cross-functional teams, including data scientists, product managers, and software engineers, to integrate AI solutions into production systems.
  • Optimize AI pipelines for performance, scalability, and reliability, ensuring efficient processing of large-scale datasets.
  • Drive innovation by researching and implementing cutting-edge AI techniques, frameworks, and tools to enhance product capabilities.
  • Mentor junior engineers and provide technical guidance on AI best practices, model development, and deployment strategies.
  • Monitor and maintain AI systems in production, ensuring robust performance and rapid response to issues.

Requirements
Qualifications
  • Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, with a proven track record of delivering impactful AI solutions.
  • Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.
  • Strong programming skills in Python and proficiency with relevant libraries (e.g., NumPy, Pandas, Scikit-Learn, Hugging Face).
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) for deploying AI models.
  • Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
  • Strong communication and collaboration skills, with experience working in agile, cross-functional teams.