AI Scientist

We are seeking an AI Scientist to join our Data Platform and AI team within Software Product Development. You will help design, build, and deploy intelligent solutions for intralogistics planning and operations, partnering with business stakeholders, product managers, application engineers, and subject‑matter experts to turn complex operational challenges into scalable, data‑driven products. 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: Responsibilities 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. Qualifications Required Qualifications: Bachelor's degree in Engineering or related field + 3 years of relevant experience Master's degree in Engineering or related field + 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. Compensation 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. 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.

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