Applied AI Research Engineer

Accesa; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Accesa is seeking an Applied AI Research Engineer to advance AI techniques in real products. The role is remote with Romania-based teams, blending research with engineering to deliver usable AI capabilities.

You will design, prototype, and evaluate applied AI models for real-world use cases, collaborate with data and AI colleagues, and translate research findings into robust implementations. Strong capability to move from concept to production is required.

Qualifications

• Background in applied AI, machine learning, or a closely related engineering discipline.
• Hands‑on programming ability with relevant languages and AI/ML tooling.
• Demonstrated experience moving from research concepts to working systems.

Responsibilities

• Design, prototype, and evaluate applied AI models and components for real-world use cases.
• Collaborate with data and AI colleagues on research initiatives, experiments, and proofs of concept.
• Translate research findings into robust, production-ready implementations.
• Contribute to documentation, testing, and knowledge sharing across the team.

Skills

Applied AI

Machine learning

Programming

Production systems

Tools

AI/ML tooling

Job description

Role overview

An Applied AI Research Engineer position focused on advancing and applying artificial intelligence techniques within a data and AI function. The role is offered on a remote basis within Romania and sits inside an information technology and services organisation. It blends research-minded exploration with practical engineering to deliver AI capabilities that can be put to use inside real products and services.

Responsibilities

• Design, prototype, and evaluate applied AI models and components for real-world use cases
• Collaborate with data and AI colleagues on research initiatives, experiments, and proofs of concept
• Translate research findings into robust, production-ready implementations
• Contribute to documentation, testing, and knowledge sharing across the team

Requirements

• Background in applied AI, machine learning, or a closely related engineering discipline
• Hands‑on programming ability with relevant languages and AI/ML tooling
• Demonstrated experience moving from research concepts to working systems

Nice to have

• Experience working within cross‑functional technology or data teams
• Comfort operating in a remote, distributed working environment