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Manager Edge Ai Machine Learning Jobs in Addison, TX

Quarterhill

Machine Learning Engineer

Frisco, TX · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact ... Drive performance optimization and scalability of ML systems across edge and cloud environments.

CBRE

Software Engineer

Richardson, TX · On-site

This includes actively leveraging and building cutting-edge AI/Machine Learning, Data, and ... management and accelerates business objectives. This is an incredible opportunity to be at the ...

Danta Technologies

Gen AI Engineer

Irving, TX · On-site

  • Medical

  • Dental

  • Vision

Key Skills - Agentic AI, Gen AI, AI/ML, Data Science, SQL, Python, Pandas, Deep Learning, Machine Learning, LLM, Data Structures, Bert Transformers, NLP, PyTorch, PySpark. The ideal candidate will ...

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

... based machine learning systems. This role offers the opportunity to work on cutting-edge AI ... management. * Collaborate with Data Scientists, Software Engineers, Data Engineers, and business ...

Stackruit Ltd.

Generative AI Engineer

Dallas, TX · On-site

$100 - $130/hr

Design & Deploy Cutting-Edge AI Solutions (US) Help clients envision the future with AI at Lantern ... Machine Learning, OpenAI Service, AI Search, Databricks, SQL Database, Cognitive Services. * Python ...

Yum

Machine Learning Engineer II

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cutting-edge machine learning models and solutions to enhance various aspects of our business ... management. Responsibilities Key Responsibilities: * Collaborate with cross-functional teams ...

Yum Brands

Machine Learning Engineer II

Plano, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cutting-edge machine learning models and solutions to enhance various aspects of our business ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

Yum! Brands

Machine Learning Engineer II

Plano, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... cutting-edge machine learning models and solutions to enhance various aspects of our business ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

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Showing results 21-40

All JobsEdge Ai Machine Learning JobsManager Edge Ai Machine Learning JobsManager Edge Ai Machine Learning Jobs in Addison, TX

Manager Edge Ai Machine Learning information

See Addison, TX salary details

$30K

$74.9K

$125.8K

How much do manager edge ai machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for manager edge ai machine learning in Addison, TX is $74,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $84,700.00 per year, depending on experience, location, and employer.

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

What are popular job titles related to Manager Edge Ai Machine Learning jobs in Addison, TX?

For Manager Edge Ai Machine Learning jobs in Addison, TX, the most frequently searched job titles are:

What cities near Addison, TX are hiring for Manager Edge Ai Machine Learning jobs?

Cities near Addison, TX with the most Manager Edge Ai Machine Learning job openings:

Manager Edge Ai Machine Learning jobs near you

Staff Software Engineer, Perception (R5421)

Shield AI

Dallas, TX • On-site

$195K - $292K/yr

Full-time

Posted 21 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. 

The Hivemind Solutions Perception team develops the next generation of perception capabilities for autonomous systems by combining state-of-the-art machine learning with the proven foundations of computer vision. The team advances how autonomous platforms understand and interpret the world by developing vision, vision-language (VLM), and vision-language-action (VLA) models that tackle core perception challenges such as object understanding, scene interpretation, and mission-relevant environmental awareness. Working at the intersection of research and production, our engineers build the data pipelines, supervised fine-tuning (SFT) workflows, evaluation frameworks, and deployment infrastructure needed to transform cutting-edge AI research into reliable, mission-ready perception capabilities.
 
In this role, you'll lead the technical development of advanced machine learning solutions that define the future of perception for autonomous systems. You'll own the team's most challenging technical problems, drive architecture and model development across multiple efforts, and influence how foundation models are adapted, evaluated, and deployed for real-world autonomy. Working closely with researchers, perception engineers, autonomy engineers, and platform teams, you'll bridge cutting-edge AI research with scalable production systems while mentoring engineers and raising the technical bar across the organization.
What You'll Do:

Model Development - Design, train, fine-tune, and maintain state-of-the-art vision, vision-language, and vision-language-action models that improve perception and decision-making for autonomous systems. 

Data Pipelines & Model Training - Build scalable data pipelines, supervised fine-tuning (SFT) workflows, and evaluation loops that continuously improve model performance on mission-relevant tasks. 

Model Deployment & Optimization - Deploy and optimize machine learning models for embedded hardware using technologies such as ONNX, TensorRT, and hardware-accelerated inference frameworks. 

Perception & Autonomy Applications - Apply modern machine learning techniques to solve challenging perception and autonomy problems across aerial and other autonomous systems operating in complex, real-world environments. 

Research-to-Production - Translate cutting-edge machine learning research into production-ready capabilities by balancing model performance, robustness, computational efficiency, and operational reliability. 

Cross-functional Collaboration - Partner closely with perception, autonomy, platform, and software engineering teams to integrate machine learning capabilities into mission-ready autonomous systems. 

Model Evaluation & Validation - Develop benchmarks, testing methodologies, and evaluation frameworks to measure model performance, identify failure modes, and guide future improvements. 

Continuous Improvement - Improve training infrastructure, developer tooling, deployment workflows, and model lifecycle management to accelerate experimentation and production delivery. 

Required Qualifications:

  • Typically requires a minimum of 7 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or 4 years with a PhD; or equivalent work experience.

  • Expertise of machine learning fundamentals. 

  • Experience training an deploying ML models for computer vision in a production setting. 

  • Strong understanding of 3D vision problems/algorithms. 

  • Experience with machine learning frameworks such as PyTorch and TensorFlow. 

  • Demonstrated expertise in deploying models using TensorRT and ONNX. 

  • Proficiency in C++ and Python. 

  • Strong analytical and problem-solving skills, with the ability to translate research into practical applications. 

  • Ability to obtain a SECRET clearance 
Preferred Qualifications:

  • Experience with developing autonomous systems for defense customers. 

  • Experience with training/finetuning vision-language models, vision-language-action models, and/or world models.  

  • Contributions to open-source projects in machine learning or computer vision. 

  • Track record of publications in leading computer vision and robotics conferences and journals (e.g., CVPR, ICCV/ECCV, RAL, ICRA).

$195,200 - $292,800 a year
#LI-DS-1
#LD

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.
 
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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. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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