Advanced AI Engr
Honeywell
Advanced AI Engr
Job Description
Advanced AI Engineer
Location: Seattle, WA | Work Arrangement: Hybrid
Overview
As an Advanced AI Engineer at Honeywell, a global leader in aerospace, building technologies, and performance materials, you will lead the design, development, and deployment of cutting-edge AI algorithms, models, and systems. Reporting directly to our Director of AI Research and Development, you’ll work out of our state-of-the-art facility in Seattle, WA on a hybrid schedule, blending innovative office collaboration with flexible remote work. As the subject matter expert for technical AI projects, you will drive best practices, mentor junior engineers, and deliver AI solutions that power Honeywell's intelligent products across industries like aviation, energy, and safety systems.
Key Responsibilities
- Architect and implement advanced machine learning models, including deep learning neural networks and generative AI systems, optimized for real-world industrial applications.
- Lead end-to-end AI project lifecycles, from data pipeline development and model training to deployment on cloud (AWS/Azure) and edge devices.
- Conduct research and experimentation with state-of-the-art techniques in computer vision, natural language processing, and reinforcement learning to solve complex Honeywell challenges.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate AI into product roadmaps.
- Establish and enforce AI best practices, including model governance, ethical AI principles, and scalable MLOps frameworks.
- Mentor and guide team members on advanced AI methodologies, fostering a culture of innovation and technical excellence.
What Makes This Role Exciting
Join a dynamic team at the forefront of AI innovation, where your work directly impacts Honeywell's mission to create a safer, more sustainable world. You'll tackle high-impact projects like predictive maintenance for aircraft engines, intelligent building automation, and autonomous systems. Enjoy access to Honeywell's world-class resources, including massive datasets, high-performance computing clusters, and partnerships with top AI research institutions. With opportunities for global collaboration, patent contributions, and career growth in a Fortune 100 company, this role offers unparalleled professional fulfillment and the chance to shape the future of intelligent technology.
Summary
As an Advanced AI Engineer here at Honeywell, you will lead the design and development of AI algorithms, models, and systems, acting as the subject matter expert for technical AI projects and best practices.You will report directly to our [Title] and you’ll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.
Locations
- #1 Building, No.14 Jiu Xian Qiao Road,ChaoYang District, , Beijing, 11, CN 100016
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
- Expertise in deep learning architectures (CNNs, RNNs, Transformers)intermediate
- Experience with computer vision, NLP, or time-series forecastingintermediate
- Knowledge of cloud platforms (AWS SageMaker, Azure ML, Google AI Platform)intermediate
- Strong data engineering skills (SQL, ETL, big data tools)intermediate
- MLOps practices (Docker, Kubernetes, CI/CD for ML)intermediate
- Problem-solving and analytical mindsetintermediate
- Excellent communication and cross-functional collaboration skillsintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (experience)
- 5+ years of professional experience in AI/ML engineering, with proven track record in developing production-grade AI systems (experience)
- Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or JAX (experience)
- Experience with large-scale data processing using tools like Apache Spark, Hadoop, or Dask (experience)
- Strong programming proficiency in Python, with familiarity in C++ or Java for performance-critical applications (experience)
- Demonstrated ability to lead technical projects and mentor engineering teams (experience)
Preferred Qualifications
- Master's or PhD in AI, Machine Learning, or related field (experience)
- Experience with industrial IoT, edge AI deployment, or aerospace/energy sector applications (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer (experience)
Responsibilities
- Design, develop, and optimize AI algorithms and models for real-time applications in Honeywell's core domains
- Lead the integration of AI systems into embedded and cloud-based platforms, ensuring scalability and reliability
- Perform advanced model evaluation, hyperparameter tuning, and A/B testing to achieve superior performance metrics
- Collaborate with product managers and stakeholders to translate business requirements into technical AI solutions
- Drive AI research initiatives, prototyping novel approaches and publishing internal whitepapers or patents
- Implement robust MLOps pipelines for continuous model training, monitoring, and retraining
- Provide technical leadership and mentorship to foster AI excellence across engineering teams
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance with low premiums
- general: 401(k) retirement plan with generous company matching
- general: Professional development programs, including tuition reimbursement and leadership training
- general: Flexible hybrid work model supporting work-life balance
- general: Employee stock purchase plan and wellness incentives
Tags & Categories
Answer 10 quick questions to check your fit for Advanced AI Engr @ Honeywell.
Related Books and Jobs
Advanced AI Engr
Honeywell
Advanced AI Engr
Job Description
Advanced AI Engineer
Location: Seattle, WA | Work Arrangement: Hybrid
Overview
As an Advanced AI Engineer at Honeywell, a global leader in aerospace, building technologies, and performance materials, you will lead the design, development, and deployment of cutting-edge AI algorithms, models, and systems. Reporting directly to our Director of AI Research and Development, you’ll work out of our state-of-the-art facility in Seattle, WA on a hybrid schedule, blending innovative office collaboration with flexible remote work. As the subject matter expert for technical AI projects, you will drive best practices, mentor junior engineers, and deliver AI solutions that power Honeywell's intelligent products across industries like aviation, energy, and safety systems.
Key Responsibilities
- Architect and implement advanced machine learning models, including deep learning neural networks and generative AI systems, optimized for real-world industrial applications.
- Lead end-to-end AI project lifecycles, from data pipeline development and model training to deployment on cloud (AWS/Azure) and edge devices.
- Conduct research and experimentation with state-of-the-art techniques in computer vision, natural language processing, and reinforcement learning to solve complex Honeywell challenges.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate AI into product roadmaps.
- Establish and enforce AI best practices, including model governance, ethical AI principles, and scalable MLOps frameworks.
- Mentor and guide team members on advanced AI methodologies, fostering a culture of innovation and technical excellence.
What Makes This Role Exciting
Join a dynamic team at the forefront of AI innovation, where your work directly impacts Honeywell's mission to create a safer, more sustainable world. You'll tackle high-impact projects like predictive maintenance for aircraft engines, intelligent building automation, and autonomous systems. Enjoy access to Honeywell's world-class resources, including massive datasets, high-performance computing clusters, and partnerships with top AI research institutions. With opportunities for global collaboration, patent contributions, and career growth in a Fortune 100 company, this role offers unparalleled professional fulfillment and the chance to shape the future of intelligent technology.
Summary
As an Advanced AI Engineer here at Honeywell, you will lead the design and development of AI algorithms, models, and systems, acting as the subject matter expert for technical AI projects and best practices.You will report directly to our [Title] and you’ll work out of our [City, State] location on a [Hybrid, On-site, Remote] work schedule.
Locations
- #1 Building, No.14 Jiu Xian Qiao Road,ChaoYang District, , Beijing, 11, CN 100016
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)intermediate
- Expertise in deep learning architectures (CNNs, RNNs, Transformers)intermediate
- Experience with computer vision, NLP, or time-series forecastingintermediate
- Knowledge of cloud platforms (AWS SageMaker, Azure ML, Google AI Platform)intermediate
- Strong data engineering skills (SQL, ETL, big data tools)intermediate
- MLOps practices (Docker, Kubernetes, CI/CD for ML)intermediate
- Problem-solving and analytical mindsetintermediate
- Excellent communication and cross-functional collaboration skillsintermediate
Required Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (experience)
- 5+ years of professional experience in AI/ML engineering, with proven track record in developing production-grade AI systems (experience)
- Deep expertise in machine learning frameworks such as TensorFlow, PyTorch, or JAX (experience)
- Experience with large-scale data processing using tools like Apache Spark, Hadoop, or Dask (experience)
- Strong programming proficiency in Python, with familiarity in C++ or Java for performance-critical applications (experience)
- Demonstrated ability to lead technical projects and mentor engineering teams (experience)
Preferred Qualifications
- Master's or PhD in AI, Machine Learning, or related field (experience)
- Experience with industrial IoT, edge AI deployment, or aerospace/energy sector applications (experience)
- Certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer (experience)
Responsibilities
- Design, develop, and optimize AI algorithms and models for real-time applications in Honeywell's core domains
- Lead the integration of AI systems into embedded and cloud-based platforms, ensuring scalability and reliability
- Perform advanced model evaluation, hyperparameter tuning, and A/B testing to achieve superior performance metrics
- Collaborate with product managers and stakeholders to translate business requirements into technical AI solutions
- Drive AI research initiatives, prototyping novel approaches and publishing internal whitepapers or patents
- Implement robust MLOps pipelines for continuous model training, monitoring, and retraining
- Provide technical leadership and mentorship to foster AI excellence across engineering teams
Benefits
- general: Competitive base salary and performance-based bonuses
- general: Comprehensive health, dental, and vision insurance with low premiums
- general: 401(k) retirement plan with generous company matching
- general: Professional development programs, including tuition reimbursement and leadership training
- general: Flexible hybrid work model supporting work-life balance
- general: Employee stock purchase plan and wellness incentives
Tags & Categories
Answer 10 quick questions to check your fit for Advanced AI Engr @ Honeywell.
Related Books and Jobs