AI Research Engineer (Model Evaluation)

Tether Operations Limited; Dubai; Remote; USD 100,000 - 150,000; Full time

Job summary

A pioneering financial firm in Dubai seeks an AI model evaluation specialist to develop and deploy evaluation frameworks across the AI lifecycle. The ideal candidate will have a PhD in a relevant field and proven experience in creating benchmarking pipelines. This role requires strong programming and communication skills, along with a collaborative spirit to work with cross-functional teams. Join us to be part of an industry-leading technology project and work remotely with a global team.

Qualifications

• Proven experience in designing evaluation frameworks and developing benchmarking pipelines.
• Strong publication record in relevant fields.
• Ability to analyze evaluation data effectively.

Responsibilities

• Develop and deploy evaluation frameworks for AI lifecycle stages.
• Curate datasets and design benchmarks for assessments.
• Collaborate with teams to align strategies with business goals.
• Analyze data to optimize model performance.
• Incorporate emerging evaluation techniques.

Skills

Advanced AI architectures

Evaluation practices

Benchmarking

Programming skills

Communication skills

Education

PhD in NLP, Machine Learning or related field

Degree in Computer Science or related field

Job description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re pioneering a global financial revolution with innovative solutions that enable seamless integration of reserve-backed tokens across blockchains. Our technology allows secure, instant, and cost-effective digital transactions worldwide, built on transparency and trust.

Innovate with Tether

Tether Finance : Offers the trusted USDT stablecoin and digital asset tokenization services.

Additional Initiatives :

Tether Power : Focuses on eco-friendly Bitcoin mining solutions.

Tether Data : Develops AI and data-sharing technologies like KEET.

Tether Education : Provides digital learning opportunities.

Tether Evolution : Merges technology and human potential for future innovations.

Why Join Us?

Work remotely with a global team, collaborate on cutting-edge fintech projects, and contribute to industry leadership. Excellent English communication skills are essential.

About the job :

As part of our AI model team, you will develop evaluation frameworks and benchmarks for AI models across various stages, from pre-training to inference. Your focus will be on designing metrics that ensure models are responsive, efficient, and reliable in real-world applications, working with diverse architectures including resource-efficient and multi-modal models.

You should have expertise in advanced AI architectures, evaluation practices, and benchmarking. Your role involves creating, testing, and implementing evaluation strategies that measure accuracy, latency, throughput, and memory use, providing actionable insights to improve model performance throughout its lifecycle.

Collaboration with cross-functional teams is key to share findings and integrate feedback. You will build evaluation pipelines and dashboards to support continuous improvement and industry-leading standards in AI model quality and reliability.

Responsibilities :

• Develop and deploy evaluation frameworks for all AI lifecycle stages, tracking key performance metrics.
• Curate datasets and design benchmarks to ensure consistent and reliable assessments.
• Collaborate with product, engineering, and operations teams to align evaluation strategies with business goals.
• Analyze evaluation data to identify bottlenecks and optimize model performance and resource utilization.
• Stay updated with emerging evaluation techniques and incorporate them to enhance benchmarking practices.

A degree in Computer Science or related field is required, with a PhD preferred in NLP, Machine Learning, or similar, along with a strong publication record. Proven experience in designing evaluation frameworks, developing benchmarking pipelines, and working across the AI lifecycle is essential. Excellent programming skills and ability to communicate findings effectively are also required.