Computer Vision Model Deployment Engineer Jobs

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Staff Machine Learning Engineer

Unity Technologies SF Mountain View, CA

Mountain View, CA

Today

$172k - $284k/yr Full time Ai Ml Ai Model Training Artificial Intelligence

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Job Description

Build production-grade AI for game experiences at Unity Technologies SF. This onsite role in Mountain View focuses on taking cutting-edge computer vision and multi-modal research into dependable, scalable systems across cloud, server, and on-device targets, with a team culture centered on measurement, engineering rigor, and cross-functional collaboration.

Responsibilities

Help set the technical vision and roadmap for computer vision and multi-modal AI models, including transformers, diffusion models, vision-language models, and JEPA-style generative architectures.
Design and implement models for image and video understanding and generation, including segmentation, detection, and dense prediction, plus multi-modal reasoning over images, text, and 3D inputs.
Make architecture and delivery decisions across quality, capability, latency, and cost for deployment targets, including training strategy, data pipelines, and evaluation.
Own the path from research prototype to production: training, fine-tuning, distillation, export, and serving, spanning cloud GPUs to efficient on-device inference where needed.
Collaborate closely with research scientists to translate novel CV and multi-modal architectures into deployable, well-engineered implementations.
Build scalable multi-modal inference systems that handle diverse inputs (images, video, text, primitives, and metadata) and generate outputs from semantic predictions to pixel-level generation.
Rapidly adopt field breakthroughs in areas such as vision-language pretraining and alignment, efficient diffusion (consistency models, flow matching), efficient attention (including FlashAttention and linear-attention variants), and tokenization or representation learning for vision.
When latency or device constraints require it, apply compression approaches such as quantization, pruning, and knowledge distillation, and work with runtimes including TensorRT, ONNX Runtime, CoreML, and TFLite.
Lead and mentor ML engineers, define engineering best practices and code review standards, and establish rigorous benchmarking and evaluation methodology.
Partner with research, platform engineers, product managers, and runtime teams to align ML capabilities with product roadmaps and target-platform constraints.
Champion a measurement culture by defining KPIs for model quality, accuracy, latency, memory, and cost, and ensuring consistent tracking.

Requirements

6+ years of ML engineering experience with substantial depth in computer vision and/or multi-modal modeling.
Production experience with transformer-based and diffusion-based vision models, including examples such as ViT, CLIP/SigLIP-style encoders, Stable Diffusion, and DETR/SAM-style architectures.
Strong command of the full model lifecycle, including data curation, training and fine-tuning, evaluation, and serving at scale.
Familiarity with efficient attention, diffusion samplers, multi-modal fusion, and vision-language alignment techniques.
Strong Python skills and modern deep-learning tooling (notably PyTorch), plus solid software engineering fundamentals.
Proven technical leadership, including setting direction, influencing cross-functional partners, and growing engineers.

Technologies

Python, PyTorch, TensorRT, ONNX Runtime, CoreML, TFLite, FlashAttention, ViT, CLIP, SigLIP, Stable Diffusion, DETR, SAM

Benefits

Comprehensive health, life, and disability insurance
Commute subsidy
Employee stock ownership
Competitive retirement/pension plans
Generous vacation and personal days
Support for new parents through leave and family-care programs
Office food snacks
Mental Health and Wellbeing programs and support
Employee Resource Groups
Global Employee Assistance Program
Training and development programs
Volunteering and donation matching program

Additional Information

Location: Mountain View, CA (onsite)
Salary: USD 172,200 - 283,900 per year
Zone A: $218,400 - $283,900; Zone B: $194,100 - $252,300; Zone C: $172,200 - $223,900
Beyond base salary, the role may be eligible for equity awards and participation in company incentive plans (such as annual discretionary bonuses or sales commissions)
Final offer amount depends on geographic location, relevant experience, professional background, and skill set

You Might Also Have

Experience with world-model, video-generation, or neural rendering pipelines (NeRF, 3DGS, or similar)
Experience deploying models to constrained or on-device targets, including quantization (INT8/INT4/FP16), pruning, distillation, and runtimes such as CoreML, TFLite, ONNX
Familiarity with mobile SoC accelerators (Apple Neural Engine, Qualcomm Hexagon/Adreno, ARM Mali) or compiler stacks such as MLIR, TVM, or XLA
Contributions to open-source ML frameworks or peer-reviewed CV/ML research publications
Background in real-time graphics or game engine pipelines (Metal, Vulkan, OpenGL ES)

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