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

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SDLC Engineer - AI Trainer

Carrollton, TX · 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 ...

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SDLC Engineer - AI Trainer

Plano, TX · 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 ...

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SDLC Engineer - AI Trainer

Garland, TX · 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 ...

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SDLC Engineer - AI Trainer

Frisco, TX · 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 ...

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SDLC Engineer - AI Trainer

Mesquite, TX · 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 ...

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SDLC Engineer - AI Trainer

Allen, TX · 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 ...

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SDLC Engineer - AI Trainer

Lewisville, TX · 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 ...

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SDLC Engineer - AI Trainer

Richardson, TX · 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 ...

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SDLC Engineer - AI Trainer

Dallas, TX · 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 ...

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SDLC Engineer - AI Trainer

Denton, TX · 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 ...

DataAnnotation

SDLC Engineer - AI Trainer

Irving, TX · 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 ...

DataAnnotation

SDLC Engineer - AI Trainer

Arlington, TX · 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 ...

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SDLC Engineer - AI Trainer

Mckinney, TX · 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 ...

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SDLC Engineer - AI Trainer

Fort Worth, TX · 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 ...

JLL

Lead AI Engineer

Dallas, TX · On-site

$101K - $133K/yr

Experience in AI agent orchestration, planning algorithms, and decision-making frameworks ... Prompt engineering and AI safety practices Uses best practices and knowledge of AI/ML methodologies ...

Jones Lang LaSalle IP, Inc.

Lead AI Engineer

Dallas, TX · On-site

$101K - $133K/yr

Experience in AI agent orchestration, planning algorithms, and decision-making frameworks ... Prompt engineering and AI safety practices Uses best practices and knowledge of AI/ML methodologies ...

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All JobsAi Algorithm Engineer JobsAi Algorithm Engineer Jobs in Dallas, TX

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 13, 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:
Ai Algorithm Engineer jobs near you
Machine Learning Software Engineer II

Machine Learning Software Engineer II

Cambium Learning Group

Dallas, TX • On-site, Remote

$89K - $123K/yr

Full-time

Re-posted 10 days ago

Cambium Learning Group rating

9.2

Company rating: 9.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

19th of 209 rated software companies

Job description

Cambium Learning® Group is an award-winning educational technology solutions leader dedicated to helping all students reach their potential through individualized and differentiated instruction. Using a research-based, personalized approach, Cambium Learning Group delivers SaaS resources and instructional products that engage students and support teachers in fun, positive, safe and scalable environments. These solutions are provided through Learning A-Z® (online differentiated instruction for elementary school reading, writing and science), ExploreLearning® (online interactive math and science simulations, a math fact fluency solution, and a K-2 science solution), Voyager Sopris Learning® (blended solutions that accelerate struggling learners to achieve in literacy and math and professional development for teachers), and VKidz Learning (online comprehensive homeschool education and programs for literacy and science). We believe that every student has unlimited potential, that teachers matter, and that data, instruction, and practice are the keys to success in the classroom and beyond.
Job Overview:
We are seeking a talented Machine Learning Engineer II to join our CAI machine learning and scoring development team. In this role, you will be the crucial bridge between applied research and production systems. Working alongside a cross-functional group of mathematicians, computer scientists, psychometricians, and statisticians, you will design and deploy custom machine learning solutions for our clients and internal platforms.
The ideal candidate is a full-stack ML practitioner who is equally comfortable discussing algorithmic design with researchers and architecting scalable, low-latency production systems. You will own the full software development lifecycle-transforming research prototypes into optimized, production-ready solutions using modern AWS infrastructure such as SageMaker, ECS, and Lambda, with an emphasis on high-throughput inference and PyTorch-to-ONNX model optimization.
Job Responsibilities:
  • Full-Lifecycle ML Development: Lead the transition of machine learning models from theoretical prototypes into scalable, high-performance production systems.
  • AWS Cloud Architecture & Deployment: Architect and deploy ML solutions utilizing AWS ECS (Elastic Container Service) for containerized workloads and AWS Lambda for serverless, event-driven inference pipelines.
  • Model & Inference Optimization: Optimize PyTorch models for production deployment by converting them to ONNX formats. Apply advanced inference optimization techniques (quantization, pruning, ONNX Runtime) and memory-efficient attention mechanisms like Flash Attention to minimize latency and maximize throughput.
  • Infrastructure & Engineering Best Practices: Champion infrastructure best practices for machine learning systems, establishing reliable CI/CD pipelines, and ensuring robust, secure, and reproducible deployments across the AWS ecosystem.
  • Algorithm Engineering: Design, develop, and evaluate algorithms that generate descriptive, diagnostic, predictive, and prescriptive insights from both structured and unstructured data.
  • Robust Software Engineering: Write clean, efficient, and well-tested code. Complete rigorous testing, debugging, and documentation to ensure seamless installation and long-term maintenance.
  • Cross-Functional Collaboration: Actively participate in research discussions, requirements gathering, and system design alongside domain experts to build tailored scoring and ML solutions.

Job Requirements:
  • Experience: 2-5 years of industry experience in Machine Learning Engineering, Software Engineering, or Data Science, with a proven track record of architecting and deploying models to production.
  • Cloud & MLOps Infrastructure: Deep, hands-on experience with the AWS ecosystem, specifically AWS ECS and Lambda. Solid understanding of containerization (Docker) and event-driven architectures.
  • Programming Proficiency: Strong proficiency in modern programming languages used in ML (e.g., Python, C++, Java) and familiarity with industry-standard coding practices.
  • ML Frameworks & Advanced Optimization: Hands-on experience with PyTorch and other machine learning libraries (e.g., Scikit-Learn, TensorFlow). Deep understanding of model optimization pipelines, including PyTorch to ONNX conversions, ONNX Runtime, and scaling attention mechanisms (e.g., Flash Attention).
  • Data Systems: Experience working with large-scale computing frameworks, data analysis systems, and relational/non-relational databases.

Nice to Have's:
  • AWS SageMaker: Experience utilizing AWS SageMaker for managed model training and hosting.
  • Advanced LLMOps & Fine-Tuning: Hands-on experience applying modern parameter-efficient fine-tuning methods (such as LoRA and qLoRA) to large language models.
  • AI Agents: Experience building, integrating, and deploying autonomous or semi-autonomous AI agents to automate complex workflows and connect ML models with external tools/APIs.
  • NLP Expertise: Proven experience and familiarity with deep learning technologies applied specifically to Natural Language Processing (NLP) and complex text-based modeling.
  • Cross-Disciplinary Collaboration: Experience collaborating with specialized researchers (e.g., psychometricians, statisticians) to operationalize complex mathematical concepts.
  • Infrastructure as Code: Experience implementing IaC using tools like Terraform or AWS CloudFormation.
  • Model Monitoring: Experience setting up comprehensive model monitoring systems to detect data drift, concept drift, and model degradation in production AWS environments.

To apply for this opportunity, simply click on the "Apply" button and submit a cover letter and resume.
An Equal Opportunity Employer
We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.

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