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Staff Machine Learning Engineer

Unity
California, USA
Full-time
Senior · 5+ years experience
Remote
Discovered 3 weeks ago
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Benefits

  • At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
  • Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
  • While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: 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
  • Life at Unity
  • Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
  • Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
  • Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
  • This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
  • Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
  • Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at [email protected].

Qualifications

  • 5+ years in software/ML engineering, with meaningful time focused on on-device / edge inference or real-time, performance-critical systems.
  • Production deployment of transformer- and/or diffusion-based models (e.g., ViT, Stable Diffusion, CLIP/SigLIP-style encoders) on mobile, desktop, or embedded hardware — shipped, not just prototyped.
  • Hands-on experience with at least one major inference runtime (ONNX Runtime / ORT Web, CoreML, TFLite, ExecuTorch) and a working understanding of operator fusion, memory layout, and runtime scheduling.
  • Low-level performance engineering: solid command of at least one GPU/compute API — WebGPU/WGSL, Metal, Vulkan, D3D12, or CUDA — and the profiling tools to go with it. You can read a frame capture and a kernel trace and reason about where the time and memory go.
  • Working knowledge of model-optimization techniques — quantization (INT4/INT8/FP16), weight sharing, pruning, and distillation — and the judgment to apply them to hit latency and memory budgets. You use them effectively as engineering tools.
  • Understanding of target hardware: mobile SoCs (Apple Neural Engine, Qualcomm Hexagon/Adreno, ARM Mali) and/or desktop/laptop GPUs (Apple Silicon, NVIDIA, AMD, Intel).
  • Strong Python for export pipelines and training-side tooling; familiarity with the core languages of a browser-native runtime (TypeScript/JavaScript, WGSL) is a plus.
  • Working fluency with the models you deploy — enough to read an architecture, modify it for deployment, and reason about accuracy trade-offs.
  • A collaborative working style: clear communication, reliable delivery, and a willingness to support and learn from teammates.
  • You might also have
  • Experience shipping world-model, neural-rendering, or real-time generative pipelines NeRF, 3DGS, real-time diffusion, or similar) on device.
  • Hands-on experience deploying models through WebGPU — e.g., ONNX Runtime Web WebGPU EP), Transformers.js, WebLLM, or TensorFlow.js — including writing/tuning WGSL compute shaders.
  • Game-engine or real-time-graphics background (Unity, Unreal, or a custom engine; Metal/Vulkan/D3D/OpenGL ES render pipelines) — especially integrating compute workloads alongside a renderer.
  • Contributions to open-source ML inference frameworks, runtimes, or GPU/compute libraries especially in the WebGPU ecosystem (Dawn, wgpu, ORT Web, Transformers.js, WebLLM).
  • Familiarity with compiler stacks (MLIR, TVM, IREE, XLA) for custom kernel generation and graph optimization.
  • Experience with on-device benchmarking infrastructure, performance-regression CI, and device-farm matrices.
  • Proficiency in C++/Objective-C/Swift for runtime integration.
  • Additional information
  • Relocation support is not available for this position
  • Work visa/immigration sponsorship is not available for this position
  • Salary range: 218 400.00 USD - 283 900. 00 USD
  • This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.

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