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Ai Algorithm Engineer Jobs in Texas (NOW HIRING)

AI Algorithms/Software Engineer

Austin, TX

$96K - $132K/yr

AI Engineering Team Member Mythic is building the future of AI computing with breakthrough analog ... Experience working on complex problems with algorithm-heavy code. * Commitment to quality and ...

AI Algorithms/Software Engineer

Austin, TX · On-site

$96K - $132K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Experience working on complex problems with algorithm-heavy code. * Commitment to quality and ...

AI Algorithms/Software Engineer

Austin, TX · On-site

$96K - $132K/yr

The AI Engineering team * Builds software pipelines that adapt neural networks (such as Hugging ... Experience working on complex problems with algorithm-heavy code. * Commitment to quality and ...

... AI Developer to support Corporate Supply Chain Operations. The individual must have a desire to ... as the algorithm expert with up-to-date knowledge on modern AI research - Implements GenAI ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: • Architect and refine sophisticated ML models and algorithms, translating ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Design and implement AI algorithms and models to solve real-world problems. * Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Design and implement AI algorithms and models to solve real-world problems. * Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: • Architect and refine sophisticated ML models and algorithms, translating ...

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced ... Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating ...

Alpha Consulting Corp. is seeking a Generative AI Engineer for a contract position ... The role involves designing and developing algorithms for generative models using deep learning ...

New

C. is seeking a Gen AI Engineer for a contract position ... The role involves designing and developing algorithms for generative models using deep learning ...

New

Algorithm Senior Systems Engineer

Plano, TX

$100K - $136K/yr

Develop, refine, and analyze algorithms to support mission-critical aerospace applications ... AI/ML model development and training techniques. * Realtime programming for embedded or mission ...

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Ai Algorithm Engineer information

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 Texas? For Ai Algorithm Engineer jobs in Texas, the most frequently searched job titles 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 June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Software/Algorithm Engineer with Security Clearance

Software/Algorithm Engineer with Security Clearance

PlanIT Group LLC

Fort Worth, TX • On-site

Contractor

Posted 28 days ago


Job description

You will be an Software/Algorithm Engineer on Aeronautics Sensor Fusion team, working at the forefront of sensor fusion, perception, and autonomy for fighter and unmanned platforms. In this role you will have a significant impact on shaping the future of Sensor Fusion across Aeronautics, defining the vision for our current and next generation platforms, and integrating our most advanced technologies. If you thrive on pushing the envelope, have a passion for difficult algorithmic challenges, and are passionate about turning novel sensor concepts into flight ready software, this position on our Emerging Technology Sensor Fusion team is for you. The team is seeking an Software/Algorithm Engineer with a strong background in sensor fusion, algorithm development, and autonomous perception to support current and future development efforts. The successful applicant will own the full lifecycle of key algorithms that enable aircraft based fusion and autonomous decision making. Responsibilities include contributing to software requirements, algorithm design, mode development, design reviews, and testing of operational flight ready, sensor fusion software. As an Software/Algorithm Engineer on the Sensor Fusion team, you will be critical to ensuring we stay “ahead of ready” and continue to lead the Sensor Fusion domain. In this role, you will:
- Develop the vision for integration of new technologies, sensors, and capabilities into our programs.
- Write high quality, embedded C++ Sensor Fusion software products that are deployed across multiple platforms and run on real-time operating systems.
- Stage algorithms in high-fidelity simulation for feasibility studies and operational analysis, pushing the operational effectivity of our warfighter.
- Represent the organization as a subject matter expert in your sub-domain.
- Coordinate with other fusion sub-disciplines to ensure integration of your algorithms across core fusion domains.
- Define pathways for incorporation into a highly reusable, next generation multi platform Fusion Engine that will serve future autonomous systems. Basic Qualifications:
-- 5+ years experience in sensor fusion sub-domain(s) (e.g., state estimation, identification, correlation, sensor tasking) or strong experience across multiple domains including signal processing, artificial intelligence, autonomy/perception, artificial intelligence, navigation, or control systems in a sensor/systems application.
-- 5+ years experience with algorithms used in development of sensor modes for RF and/or IR based sensor systems.
-- 10+ years experience with Real Time Operating Systems development in C, C++, or Rust (Windows/Linux).
-- High-fidelity prototyping/simulation in MATLAB or Python.
-- Demonstrated success working in an AGILE environment 6+ years of C++ required
4+ years of Visual Studio required
6+ years of Configuration management required
6+ years of software engineering required
6+ years of integration experience required
Strong mathematical background required
2+ years of MATLAB preferred
6+ years of data analysis preferred
1+ year of AI preferred
4+ years of simulation experience preferred
6+ years of testing experience preferred
6+ years of mathematical models and equations preferred