This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Engineer based in United States. This role sits at the intersection of research and engineering, where ideas are transformed into working systems that can be tested, validated, and iterated under real-world constraints. You will build the technical foundations that enable rapid experimentation across decision systems, simulation environments, and AI-driven pipelines. The environment is highly exploratory, requiring strong comfort with ambiguity and fast-changing requirements.
You will work closely with research teams to translate conceptual models into executable prototypes and scalable experimental frameworks.
Your work directly enables research velocity by reducing the gap between theory and validation.
This is a hands-on engineering role focused on building robust experimental infrastructure rather than production feature delivery.
You will play a key role in shaping how research is tested, measured, and evolved over time within the organization.
Accountabilities:- You will design and build experimental research prototypes and sandbox environments, translating conceptual ideas into modular, testable systems that enable rapid validation of new approaches.
- You will develop evaluation frameworks and benchmarking tools to assess decision systems, ensuring research outputs can be measured consistently and rigorously.
- You will implement experimental architectures and pipelines that support iterative testing, A/B experimentation, and structured comparison of models and approaches.
- You will maintain and evolve research infrastructure, ensuring reproducibility, stability, and scalability of experimental workflows across teams.
- You will collaborate closely with research scientists to translate theoretical models into runnable systems and provide early technical feedback on feasibility and constraints.
- You will support system integration efforts by identifying engineering limitations early and helping refine research directions based on technical reality.
Requirements: - You bring strong software engineering fundamentals with experience building systems that emphasize modularity, reliability, and maintainability in complex environments.
- You have experience working with experimental, prototype-driven, or research-adjacent systems, ideally in AI, analytics, or advanced technical environments.
- You are comfortable working in ambiguous, research-oriented settings where requirements are evolving and clarity must be actively created through iteration.
- You have familiarity with AI pipelines, decision systems, or data-driven architectures, and understand how to structure systems for evaluation and experimentation.
- You can balance speed and rigor effectively, producing working systems quickly while maintaining clarity, reproducibility, and technical quality.
- You communicate clearly and collaborate effectively with researchers and engineers, especially in contexts where concepts are still being defined.
Benefits: - Competitive compensation aligned with experience and technical depth
- Fully remote and flexible working arrangements
- Opportunity to work on cutting-edge research and experimental AI systems
- High autonomy in shaping experimental infrastructure and technical direction
- Collaborative environment with research-driven engineering teams
- Learning and development opportunities in AI, systems design, and applied research
- Exposure to advanced decision systems and simulation-based methodologies
How Jobgether works: We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Research Engineer based in United States. This role sits at the intersection of research and engineering, where ideas are transformed into working systems that can be tested, validated, and iterated under real-world constraints. You will build the technical foundations that enable rapid experimentation across decision systems, simulation environments, and AI-driven pipelines. The environment is highly exploratory, requiring strong comfort with ambiguity and fast-changing requirements.
You will work closely with research teams to translate conceptual models into executable prototypes and scalable experimental frameworks.
Your work directly enables research velocity by reducing the gap between theory and validation.
This is a hands-on engineering role focused on building robust experimental infrastructure rather than production feature delivery.
You will play a key role in shaping how research is tested, measured, and evolved over time within the organization.
Accountabilities:- You will design and build experimental research prototypes and sandbox environments, translating conceptual ideas into modular, testable systems that enable rapid validation of new approaches.
- You will develop evaluation frameworks and benchmarking tools to assess decision systems, ensuring research outputs can be measured consistently and rigorously.
- You will implement experimental architectures and pipelines that support iterative testing, A/B experimentation, and structured comparison of models and approaches.
- You will maintain and evolve research infrastructure, ensuring reproducibility, stability, and scalability of experimental workflows across teams.
- You will collaborate closely with research scientists to translate theoretical models into runnable systems and provide early technical feedback on feasibility and constraints.
- You will support system integration efforts by identifying engineering limitations early and helping refine research directions based on technical reality.
Requirements: - You bring strong software engineering fundamentals with experience building systems that emphasize modularity, reliability, and maintainability in complex environments.
- You have experience working with experimental, prototype-driven, or research-adjacent systems, ideally in AI, analytics, or advanced technical environments.
- You are comfortable working in ambiguous, research-oriented settings where requirements are evolving and clarity must be actively created through iteration.
- You have familiarity with AI pipelines, decision systems, or data-driven architectures, and understand how to structure systems for evaluation and experimentation.
- You can balance speed and rigor effectively, producing working systems quickly while maintaining clarity, reproducibility, and technical quality.
- You communicate clearly and collaborate effectively with researchers and engineers, especially in contexts where concepts are still being defined.
Benefits: - Competitive compensation aligned with experience and technical depth
- Fully remote and flexible working arrangements
- Opportunity to work on cutting-edge research and experimental AI systems
- High autonomy in shaping experimental infrastructure and technical direction
- Collaborative environment with research-driven engineering teams
- Learning and development opportunities in AI, systems design, and applied research
- Exposure to advanced decision systems and simulation-based methodologies
How Jobgether works: We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
