Staff Machine Learning Engineer (Computer Vision/Multimodal AI)

Location: Mountain View, CA, USA

Base salary: $172,200–$283,900 annually, depending on the primary work location and experience.

Company

hirify.global develops a leading game engine and 3D platform used to create games and interactive experiences across mobile, PC, console, XR, web, automotive, manufacturing, and healthcare.

What you will do

• Set the technical vision and roadmap for computer vision and multimodal AI models, including transformers, diffusion models, vision-language models, and JEPA-style architectures.
• Design and implement models for image and video understanding, generation, segmentation, detection, dense prediction, and multimodal reasoning over images, text, and 3D inputs.
• Own the model lifecycle from research prototype through training, fine-tuning, distillation, export, serving, and production deployment.
• Build scalable inference systems for cloud GPUs and constrained on-device targets while balancing quality, latency, memory, and cost.
• Collaborate with research scientists, platform engineers, product managers, and runtime teams to align ML capabilities with product and platform requirements.
• Lead and mentor ML engineers, establish engineering standards, and define rigorous quality, accuracy, latency, memory, and cost benchmarks.

Requirements

• 6+ years of experience in ML engineering with significant depth in computer vision and/or multimodal modeling.
• Production experience with transformer-based and diffusion-based vision models, including architectures such as ViT, CLIP/SigLIP, Stable Diffusion, DETR, or SAM.
• Strong command of data curation, model training and fine-tuning, evaluation, and serving at scale.
• Knowledge of efficient attention, diffusion samplers, multimodal fusion, and vision-language alignment.
• Strong Python, PyTorch, and software engineering fundamentals.
• Track record of technical leadership, cross-functional influence, and engineer development.

Nice to have

• Experience with world models, video generation, neural rendering, NeRF, or 3DGS.
• Experience with quantization, pruning, distillation, and on-device runtimes such as CoreML, TFLite, ONNX Runtime, or TensorRT.
• Knowledge of mobile SoC accelerators, MLIR, TVM, or XLA.
• Open-source ML framework contributions or peer-reviewed computer vision and machine learning publications.
• Experience with real-time graphics or game engine pipelines using Metal, Vulkan, or OpenGL ES.

Culture & Benefits

• Full-time employment with health, life, and disability insurance.
• Equity participation and competitive retirement or pension plans.
• Vacation, personal days, parental leave, and family-care programs.
• Mental health, wellbeing, employee assistance, and employee resource programs.
• Training and development programs, volunteering support, and donation matching.
• Professional communication in English is required for regular collaboration with worldwide colleagues and partners.