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

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ... engineering principles. โ€ข Knowledge of MLOps and AI/ML deployment (e.g., SageMaker, Snowflake ...

As a Staff AI Engineer specializing in Agents and LLMs, you will: * Lead the design, development ... Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both ...

As a Staff AI Engineer specializing in Agents and LLMs, you will: * Lead the design, development ... Conduct deep dives into algorithmic components and systems, ensuring models are optimized for both ...

AI/ML Engineer

Dallas, TX ยท 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 ...

AI/ML Engineer

Dallas, TX ยท 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 ...

AI/ML Engineer

Dallas, TX ยท 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 ...

AI/ML Engineer

Dallas, TX ยท 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

Dallas, TX ยท On-site

$121K - $160K/yr

Our challenge We are looking for an AI Engineer who will develop and train artificial intelligence ... the algorithms and data to ensure the system works correctly. The Role Responsibilities:

AI/ML Engineer

Dallas, TX ยท 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 ยท 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 ...

... Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI ... algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready ...

Showing results 21-40

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 Aug 6, 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.

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?

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 is an AI algorithm engineer?

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:

Senior Engineer, State Estimation (R5165) with Security Clearance

Shield AI Inc

Dallas, TX โ€ข On-site

$103K - $142K/yr

Other

Posted 15 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube . Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world's best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (X-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI's products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. As a State Estimation Engineer, you will work on the GNC team to develop and optimize algorithms that process and fuse data from various sensors to provide accurate, reliable state estimates, enabling the X-BAT to operate autonomously in complex and contested environments. WHAT YOU'LL DO: * Develop and implement advanced sensor algorithms for processing data from IMUs, radar, cameras, GPS, and other sensors. * Enhance state estimation algorithms by integrating multi-sensor data for improved accuracy and robustness. * Design and implement real-time sensor data processing pipelines. * Collaborate with cross-functional teams, including software engineers, autonomy researchers, and hardware engineers, to ensure seamless integration of state estimation algorithms. * Conduct experiments and field tests to validate the performance of state estimation algorithms in real-world scenarios. * Stay updated with the latest advancements in sensor technologies and state estimation , applying them to our systems. REQUIRED QUALIFICATIONS: * Typically requires a minimum of 5 years of related experience with a Bachelor's degree; or 4 years and a Master's degree; or 2 years with a PhD; or equivalent work experience. * Experience developing and deploying real-time sensor processing algorithms, e.g. with cameras, radar, IMUs, GPS, etc. * Solid understanding of state estimation techniques, such as Kalman filters, particle filters, etc. * Experience with C++ 11 or newer * Experience with Linux, command line tools, etc. * Excellent communication skills, with the ability to effectively collaborate with multidisciplinary teams and external stakeholders. * Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment. * You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others. * Ability to obtain a S//SAR level security clearance desired. PREFERRED QUALIFICATIONS: * Experience in implementing inertial navigation algorithms on real-time processing systems * Knowledge of computer vision techniques * Proficiency in optimizing algorithms for compute-constrained systems * Experience with CUDA or other hardware acceleration technologies (e.g. FPGAs) * Proven track record of transitioning from R&D to production Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.