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Jobgether

Research Engineer

Jobgether

Remote পূর্ণকালীন

প্রথম আবেদনকারী হোন।

অভিজ্ঞতা
যেকোনো
বেতন
শূন্যপদ
1
পোস্ট করা হয়েছে
১ ঘন্টা আগে

কাজের বিবরণ

Role overview

This opening is for a Research Engineer in Germany, hired through a partner organization that handles the application review and all follow-up steps. The role blends research and engineering, turning new ideas into working systems that can be tested, measured, and refined quickly in changing conditions.

You will help create the technical base for rapid experimentation across decision systems, simulation environments, and AI-enabled pipelines. The setting is exploratory and fast-moving, so comfort with uncertainty and evolving priorities is essential.

In this position, you will partner with research teams to convert abstract concepts into executable prototypes and scalable testing frameworks. The work is centered on strengthening research velocity by closing the gap between theory and practical validation. It is a hands-on role focused on building reliable experimental infrastructure rather than shipping production features.

Accountabilities

  • Build research prototypes and sandbox environments that turn conceptual ideas into modular systems suitable for fast validation.
  • Create evaluation frameworks and benchmarking utilities so decision systems can be assessed with consistency and rigor.
  • Develop experimental pipelines and architectures that support iterative testing, A/B trials, and structured model comparisons.
  • Support and improve research infrastructure with an emphasis on reproducibility, stability, and scalable workflows across teams.
  • Work side by side with research scientists to translate theory into runnable systems and provide early feedback on technical feasibility and constraints.
  • Assist with system integration by surfacing engineering limitations early and helping refine research direction based on practical realities.

Requirements

  • Strong software engineering fundamentals, with a track record of building modular, dependable, and maintainable systems in complex environments.
  • Experience with prototype-led, experimental, or research-adjacent work, preferably in AI, analytics, or similarly advanced technical settings.
  • Comfort working in ambiguous research environments where requirements change often and clarity is developed through iteration.
  • Familiarity with AI pipelines, decision systems, or data-driven architectures, including how to design systems for evaluation and experimentation.
  • Ability to move quickly without sacrificing rigor, reproducibility, or technical quality.
  • Clear communication and effective collaboration with researchers and engineers, especially when concepts are still being defined.

Benefits and additional information

The organization offers compensation aligned with experience and technical depth, along with fully remote and flexible working arrangements. You will have the chance to contribute to advanced research and experimental AI systems, with significant autonomy in shaping experimental infrastructure and technical direction.

The environment is collaborative and research-driven, with learning and development opportunities across AI, systems design, and applied research. You may also gain exposure to advanced decision systems and simulation-based methodologies.

Application and data processing information

This posting notes that the application process is managed by the partner company rather than directly by the platform. Applications are reviewed through an AI-assisted matching process designed to compare candidates objectively against the role requirements before a shortlist is shared with the hiring company. Final hiring decisions, including interviews and assessments, are handled by the employer's internal team.

The notice also states that by applying, you agree to the processing of your personal data for candidate evaluation and sharing relevant information with the employer, under legitimate interest and pre-contractual measures, including GDPR-related rights such as access, correction, deletion, and objection. It further explains that AI tools may support parts of recruitment such as resume review and response analysis, but they do not replace human judgment.

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