This role is well-suited to early-career professionals who are passionate about applied AI, machine learning, and optimization and who want exposure to the full solution lifecycle—from ideation and proof of concept through deployment and continuous improvement.We offer:
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
Learn More Here: https://www.dematic.com/en-us/about/careers/what-we-offer/
Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
The base pay range for this role is estimated to be $98,800-$123,500 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
Tasks and Qualifications:What You Will do in This Role:
- Translate business problems in intralogistics planning and operations into clear, quantitative problem statements (analytics, machine learning, optimization, and AI).
- Contribute to the solution development lifecycle and progressively take ownership across phases, including:
- Partnering with business stakeholders and product managers on problem framing and ideation
- Building proof-of-concept (PoC) prototypes with peer AI scientists
- Collaborating with engineering teams on MVP deployment, productization, and iterative enhancements
- Work with real-world and synthetic datasets to develop, train, and evaluate models.
- Design and develop forecasting, machine learning, and optimization models for intralogistics use cases.
- Apply AI techniques to problems such as:
- Planning, scheduling, and resource allocation
- Automation, autonomy, and control strategies
- Prediction and optimization of supply chain and intralogistics systems
- Design and build simulation tools to support model training, validation, and testing of intralogistics processes.
- Develop model-centric solution architectures that integrate ML models, data pipelines, and inference services.
- Write clean, maintainable code following software engineering best practices and internal standards.
- Support subject-matter experts and engineering teams in delivering commercial AI and autonomy solutions.
What We Are Looking For:
Required Qualifications
- Bachelor's degree in Engineering or related + 3 years of relevant experience or Master's degree in Engineering or related + 2 years of relevant experience.
- 4+ years of experience with ML frameworks and toolchains (e.g., PyTorch, TensorFlow, scikit-learn, or equivalents)
- 4+ years of working knowledge of software engineering fundamentals (e.g., version control, testing, and code quality practices)
- Strong foundation in statistics and machine learning algorithms
- Proficiency in at least one programming language commonly used in AI/ML (e.g., Python, C++, Java)
- Ability to communicate technical concepts clearly to both technical and non-technical audiences
- Ability to travel up to 15% of the time
Nice-to-Have Qualifications
- Experience working with cloud platforms (Azure or GCP)
- Familiarity with optimization and/or operations research concepts
- Experience with reinforcement learning and/or large language models (LLMs), including LLM-based applications
- Interest in applied AI within supply chain, logistics, or industrial automation
Location & Authorization: This is a hybrid role requiring proximity to our office in Atlanta GA. Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.
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Skills Required
- Bachelor's degree in Engineering or related + 3 years of relevant experience or Master's degree in Engineering or related + 2 years of relevant experience
- 4+ years of experience with ML frameworks and toolchains
- 4+ years of working knowledge of software engineering fundamentals
- Strong foundation in statistics and machine learning algorithms
- Proficiency in at least one programming language commonly used in AI/ML
- Ability to communicate technical concepts clearly
- Ability to travel up to 15% of the time
What We Do
Looking to make your move? Then you’ve come to the right place! We are the KION Group, and the world of intralogistics is our home. Our solutions ensure the smooth flow of materials and information in production plants, warehouses, and distribution centers in over 100 countries. We have around 41,000 employees who make a real difference, helping us to become who we are today: the biggest manufacturer of forklift trucks and warehouse handling equipment in Europe, and one of the world’s leading warehouse automation providers. Successful? We are, but it’s all down to the motivated, highly trained, and multi-talented people that work for us. Would you like to be part of an international, diverse team? We can offer you interesting jobs and exciting career opportunities in an innovative, rapidly-growing, and forward-looking industry. With us, you benefit from numerous development opportunities in a globally active group, including the possibility of working at one of our locations abroad on a temporary basis. No matter which of our sites you work at, the KION values—integrity, collaboration, courage, and excellence—shape our individual action and our collaboration with colleagues, managers, customers, suppliers, and applicants both nationally and internationally. Who makes up the KION Group? With our international brands Linde Material Handling, STILL, and Baoli, as well as regional brands Fenwick and OM, we stand for exceptional technology and service expertise for forklift trucks and warehouse handling equipment around the world. Dematic expands the portfolio with its automated material handling solutions for intralogistics processes in warehouses, production, and sales
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