Machine Learning Engineer (Closed Loop)

Location: London, United Kingdom; hybrid work from the London office and home

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Develop efficient generative world models using diffusion, transformer, or hybrid architectures for real-time roll-outs and controllable scene editing.
• Architect interactive models that support agent interaction, reinforcement learning, planning, and safety evaluation.
• Optimize end-to-end inference performance through techniques such as latent compression and context pruning.
• Define metrics for long-horizon coherence, physics fidelity, planner integration, and sim-to-real performance.
• Integrate models into closed-loop training and evaluation and compare results with on-road driving-model performance.
• Mentor junior researchers, shape technical roadmaps, publish research, and represent hirify.global in the ML community.

Requirements

• 4+ years of ML research or engineering experience focused on generative video or world models.
• Deep knowledge of diffusion and latent-video models, including sampling efficiency or model-throughput optimization.
• Experience with high-dimensional temporal or spatiotemporal data, such as video or multi-sensor fusion.
• Strong Python and PyTorch engineering fundamentals and experience building research-grade production tools.
• Strong publication record or contributions to open-source ML tooling.
• Ability to collaborate in a fast-paced, innovative, interdisciplinary environment.

Nice to have

• Experience in autonomous vehicles, robotics, simulation, or other embodied AI domains.
• Experience with synthetic-to-real transfer.

Culture & Benefits

• Work on AI technology focused on mobility, safety, and automated driving.
• Access to large driving datasets, advanced infrastructure, and research expertise.
• High-trust, high-autonomy environment that values creativity, experimentation, and deep thinking.
• Opportunities to publish, share research, and influence generative AI for autonomy.
• Hybrid policy combining office collaboration with working from home, supported by core working hours and schedule flexibility.

Hiring process

• hirify.global provides an inclusive interview experience and can arrange accommodations or adjustments on request.