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

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 ...

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 ...

The AI Engineer is responsible for the most technically demanding work - advanced algorithms ... Advanced algorithms: Develop numerical optimization, forecasting, computer vision, and anomaly ...

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Optimize and fine-tune existing algorithms to improve computational and execution efficiency. * Collaborate with software engineering teams to integrate AI/ML components seamlessly into core ...

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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 Jul 11, 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, 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 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:
Principal Algorithm/AI Engineer

Principal Algorithm/AI Engineer

Elbit Systems of America, LLC

Fort Worth, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

Company Information:
Elbit America is a leading provider of high-performance products, system solutions, and support services focusing on the defense, homeland security, commercial aviation, and medical instrumentation markets. With facilities throughout the United States, Elbit Systems of America is dedicated to supporting those who contribute daily to the safety and security of the United States. Elbit Systems of America, LLC is wholly owned by Elbit Systems Ltd. (NASDAQ: ESLT and TASE: ESLT), a global high-technology company engaged in a wide range of programs for innovative defense and commercial applications. For additional information, visit: ElbitAmerica.com or follow us on YouTube.
Job Summary:
The Principal AI Engineer plays a pivotal role in driving innovation and developing advanced artificial intelligence solutions for defense applications. This position involves leading the design, implementation, and optimization of AI systems for autonomous platforms, mission planning, and predictive analytics. The role requires collaboration with multidisciplinary teams to integrate AI solutions with cutting-edge hardware and ensure compliance with safety, ethical, and regulatory standards. As a technical leader, this role mentors team members, manages complex datasets, and stays ahead of emerging AI technologies to maintain a competitive edge. With a focus on security and performance, this role is essential for advancing defense technologies and supporting critical mission objectives.
Responsibilities and Tasks:
  • Lead the design and development of advanced AI algorithms for defense applications, including autonomous systems, decision-making, and predictive analytics.
  • Oversee the integration of AI solutions with hardware platforms, such as drones, aircraft, or missile systems, ensuring seamless operation.
  • Manage large datasets, including collection, preprocessing, and analysis, to train and validate AI models.
  • Optimize AI models for performance, reliability, and scalability in real-world defense scenarios.
  • Conduct rigorous testing, including hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations, to validate AI systems under various operational conditions.
  • Work closely with multidisciplinary teams, including software engineers, systems engineers, and domain experts, to align AI solutions with mission objectives.
  • Ensure AI systems meet stringent safety, ethical, and regulatory standards specific to defense applications.
  • Stay updated on the latest advancements in AI and Machine Learning to drive innovation and maintain a competitive edge.
  • Provide technical leadership and mentorship to junior engineers and team members.
  • Prepare detailed documentation and reports for stakeholders, including government agencies and contractors.

Knowledge (Education/License/Certification, Prior Experience)
  • Bachelor's or master's degree in computer science, Engineering, Mathematics, or related field (PhD preferred)
  • 6+ years of professional experience in algorithm development, machine learning, or AI engineering
  • Proficiency in machine learning, deep learning, reinforcement learning, and natural language processing techniques.
  • Advanced programming skills in languages such as Python, C++, Java, or R, along with experience in AI frameworks (TensorFlow, PyTorch, etc.)
  • Strong foundation in linear algebra, statistics, probability, optimizations, and algorithms.
  • Expertise in managing and processing large datasets, including structured and unstructured data.
  • Experience in optimizing AI systems for performance, scalability, and reliability in defense environments.
  • Proficient in designing rigorous validation and testing methodologies for AI systems.
  • Understanding of defense-related applications, including autonomous systems, situational awareness, and mission planning.
  • Familiarity with cybersecurity principles and practices to safeguard AI systems.

Skills and Abilities:
  • Skills in developing, training, testing, and deploying AI models in real-world scenarios.
  • Ability to integrate AI systems with hardware platforms and ensure seamless functionality.
  • Strong ability to analyze complex problems and develop innovative AI-driven solutions.
  • Ability to lead teams, mentor junior engineers, and provide technical direction.
  • Excellent collaboration skills to work with multidisciplinary teams including engineers and domain experts.
  • Strong written and verbal communication skills for presenting findings, preparing documentation, and liaising with stakeholders.
  • Willingness to stay updated with emerging AI technologies and trends.
  • Ability to propose novel solutions and push the boundaries of existing technology.

Travel/Physical Requirements:
  • Willingness to travel CONUS.
  • *This role is fully remote for candidates within the United States*

#LI-TS1
#Remote
Here Are Some of the Great Benefits We Offer:
  • Most locations offer a 9/80 schedule, providing every other Friday off
  • Competitive compensation & 401(k) program to plan for your future
  • Robust medical, dental, vision, & disability coverage with qualified wellness discounts
  • Basic Life Insurance and Additional Life & AD&D Insurances are available
  • Flexible Vacation & PTO
  • Paid Parental Leave
  • Generous Employee Referral Program
  • Voluntary Benefits Available: Longer Term Care, Legal, Identity Theft, Pet Insurance, and more
  • Voluntary Tricare Supplement available for military retirees

This job description does not list all the duties of the job. You may be asked by your supervisors or managers to perform other duties. The employer has the right to revise this job description at any time. The job description is not an employment contract. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. Elbit America is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
*** If you encounter issues with your application, please email technicalsupport@elbitsystems-us.com***