{"@context":"https://schema.org","@graph":[{"@context":"https://schema.org/","@type":"JobPosting","@id":"#jobPosting","title":"Machine Learning & Optimization Scientist

• Develop and analyze ML and optimization models for real-world applications.
• Build and evaluate algorithms for prediction, decision-making, and resource allocation.
• Design clear experiments and metrics; interpret results and iterate based on data.
• Work with engineering to turn models into reliable, scalable systems (pipelines, testing, monitoring).
• Prepare concise technical documentation and share findings with cross-functional partners.

• Ideally holding a Ph.D. in Computer Science, Electrical / Electronic Engineering, Applied Mathematics, Artificial Intelligence / Data Science, IT (or related field), or equivalent industry experience.
• Ideally 3+ years of relevant R&D experience in AI / ML, computer vision, data-driven product development or advanced analytics (industry or research).
• Proficient in Python; C++ experience is a plus where performance or edge deployment matters.
• Hands-on with TensorFlow or PyTorch; familiarity with data pipelines (e.g., Spark) is a plus.
• Solid foundations in mathematics and algorithm design (probability, statistics, optimization, linear algebra).
• English is the working language; additional languages are a plus.

• Very competitive salary package and comprehensive benefits.
• Remote-first working model with optional short on-site exchanges by mutual agreement.
• Housing and family allowances available when on-site work is arranged.

AMLZ Recruiting is the executive search brand of AMLZ GmbH, headquartered in Wiesbaden, Germany. We specialize in placing exceptional professionals and executives with leading companies worldwide. Backed by a global network and deep industry expertise, we connect top talent with innovative organizations across a wide range of sectors. Our client is a globally recognized technology company near Shanghai, China, building reliable, production-grade AI and decision systems across multiple industries. Cross-functional teams in research, data, and engineering collaborate on scalable platforms that turn advanced algorithms into tangible business impact. This role starts in March 2026 with a remote-first arrangement. The first three months will be remote to align objectives, workflows, and milestones. As projects progress, short, fully sponsored on-site sessions in China may be arranged by mutual agreement for activities such as workshops, pilot runs, or production trials. Compensation is competitive, with additional allowances for any agreed on-site participation.