To Apply for this Job Click Here

Research Engineer, Multimodal Datasets

US Remote
$400k + Equity

This is an opportunity to shape how next generation AI systems learn about the world. You will work at the intersection of data, modelling, and experimentation, owning the datasets that underpin cutting edge multimodal models. If you are motivated by high impact research and want to directly influence real world model capability, this role offers uncommon scope and ownership.

The Company
They are a well funded AI research and product organisation focused on advancing multimodal systems beyond traditional language models. Their work centres on building models that can understand and simulate complex environments across video, image, and interactive contexts. With significant recent investment and rapid growth, they operate at the frontier of generative media and real time simulation. The culture is collaborative, research driven, and focused on delivering meaningful technical breakthroughs.

The Role
You will take ownership of the data strategy behind large scale multimodal models, influencing both research direction and real world product capability.

• Design and build large scale multimodal datasets across image and video domains
• Run structured experiments to understand how dataset composition impacts model performance
• Develop and maintain pipelines for synthetic data generation, curation, and quality control
• Define robust evaluation frameworks and benchmarks aligned to real use cases
• Collaborate with research, product, and creative teams to translate goals into data strategies
• Contribute to model training workflows, including pre training and fine tuning

Your Skills and Experience

• Strong commercial experience working with large scale machine learning or foundation models
• Hands on expertise with multimodal data, particularly image or video based systems
• Deep understanding of dataset design, curation, and evaluation in model performance
• Experience working across the full ML lifecycle including training, experimentation, and analysis
• Proficiency in frameworks such as PyTorch or JAX and distributed compute tools
• Evidence of research contribution, open source work, or strong technical projects
• A curiosity driven mindset with a genuine interest in advancing AI capabilities

What They Offer

• Highly competitive compensation with equity participation
• Fully remote working with a globally distributed team
• Significant ownership and influence over core model capabilities
• Opportunity to work on frontier AI challenges with real world impact
• A fast paced, low ego environment focused on innovation and learning

How to Apply
If you are interested in shaping the future of multimodal AI systems, please apply with your CV and relevant project or publication links.

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer
Fully Remote, United States | $200,000 to $230,000 base plus equity and benefits

This is a high impact opportunity to shape how Vision Language Models are applied in real world, production grade systems. You will play a central role in building and scaling VLM driven intelligence that connects edge devices with cloud based reasoning, influencing both technical direction and product outcomes in a fast moving environment.

The Company
They are a technology led organisation building intelligent, connected solutions that blend advanced machine learning with real world operational workflows. Their platform is designed to turn complex visual data into actionable insights at scale. The team brings together expertise across machine learning, computer vision, embedded systems and data science, with a strong focus on building systems that perform reliably in production.

The Role

• Own the design and development of cloud based Vision Language Model pipelines used for large scale labelling and annotation
• Drive decisions on what visual signals, metadata and contextual information are captured from edge devices to maximise VLM performance
• Build and evaluate end to end inference systems, including prompt design, fine tuning strategies and model benchmarking
• Partner closely with embedded systems, computer vision and data science teams to close the loop between devices and cloud intelligence
• Stay at the forefront of the VLM landscape, assessing and integrating commercial and open source models as capabilities evolve

Your Skills and Experience

• Strong commercial experience as a machine learning engineer working with computer vision, LLMs or Vision Language Models
• Hands on experience evaluating, fine tuning or deploying VLMs in production environments
• Deep understanding of how edge constraints such as bandwidth, latency and compute influence model design
• Proficiency with Python, PyTorch and modern cloud based inference and evaluation tooling
• Practical expertise in prompt engineering and model evaluation, with a focus on measurable performance improvements
• Comfortable owning problems end to end and collaborating across hardware and software teams

What They Offer

• Competitive base salary of $200,000 to $230,000 plus equity
• Fully remote working across the United States
• Comprehensive benefits including medical, dental and vision cover
• Flexible paid time off and a strong culture of autonomy and trust
• The opportunity to be a technical leader in the application of Vision Language Models at scale

How to Apply
If you are excited by the challenge of building production grade VLM systems with real world impact, apply now to learn more about this opportunity.

To Apply for this Job Click Here