AI Research Engineer (Multi-Modal & Vision)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Join the AI model team to advance vision-language models from data curation and training to evaluation and deployment. You will design post-training pipelines, build multimodal datasets, optimize models for resource constraints, and publish findings, working closely with a small team to push state-of-the-art in production-ready multimodal AI.

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
•Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
•Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
•Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
•Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.

Key Requirements

•Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
•Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
•Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
•Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks.
•Experience adapting models for resource-constrained environments.

Experience:Multimodal AIVision-languageAI research

Education:Bachelor's

Languages:English

Tech Stack:Vision-languageMultimodalDistributed trainingFine-tuningDistillationRLHF

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website

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Tether.io

1 month ago

AI Research Engineer (Multi-Modal & Vision)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London

Workplace: Remote

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Conduct end-to-end research and engineering on vision-language models, covering training, evaluation, and optimization across the full model development lifecycle.
•Design and implement post-training pipelines including supervised fine-tuning, knowledge distillation, and reinforcement learning from human feedback.
•Develop and maintain high-quality multimodal datasets, including data curation, filtering, and balancing for domain-specific tasks.
•Drive model efficiency and deployability, adapting models for resource-constrained environments using compression and optimization techniques.
•Design and implement evaluation frameworks and benchmarks to measure model performance, robustness, and real-world task success.

Key Requirements

•Degree in Computer Science, Machine Learning, or a related field; MS/PhD preferred.
•Strong experience with multimodal post-training workflows including supervised fine-tuning, knowledge distillation, and reinforcement learning from feedback.
•Hands-on experience with parameter-efficient fine-tuning and distributed training frameworks.
•Demonstrated ability to build and improve vision-language models with measurable results on standard benchmarks or real-world tasks.
•Experience adapting models for resource-constrained environments.

Experience:Multimodal AIVision-languageAI research

Education:Bachelor's

Languages:English

Tech Stack:Vision-languageMultimodalDistributed trainingFine-tuningDistillationRLHF

Company Brief

Tether.io

Builds tools and services to help companies hire, onboard, and manage remote or distributed teams across borders, focusing on payroll, compliance, and global employment workflows.

Industry: HR Tech

Website