Referso Jobs

Staff Software Engineer, Mobile and On-Device Agentic AI, XR

Google · Posted Nov 10, 2026

Open

San Jose, California, United States +1 more
On-site
Full-time · Staff
$207K–$300K per year

Staff Software Engineer, Mobile and On-Device Agentic AI, XR

Google · Posted Nov 10, 2026

Open

San Jose, California, United States +1 more
On-site
Full-time · Staff
$207K–$300K per year

Computer Vision Developer-1

Zebra Technologies · Posted Nov 10, 2026

Open

Bengaluru, Karnataka, India
Hybrid
1–3 years

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Develop and integrate computer vision and edge AI solutions for Zebra’s AI offerings and SDK platforms, collaborating with researchers and engineers to deploy models on mobile and embedded devices.

Responsibilities

Implement, refactor, and integrate computer vision algorithms and deep learning inference modules into production-grade SDKs and client applications.
Build efficient preprocessing pipelines (filtering, thresholding, perspective transformation, normalization) and post-processing modules using OpenCV and modern C++.
Assist in deploying trained models onto target enterprise devices (e.g., Android mobile computers, edge gateways) utilizing frameworks such as ONNX Runtime, TFLite, or Qualcomm SNPE/QNN.
Measure and profile algorithm latency, memory utilization, and inference accuracy across various hardware platforms.
Support dataset curation, synthetic data generation, and ground-truth validation for OCR, document parsing, and barcode/package recognition tasks.

Requirements

Bachelor’s in Computer Science
Bachelor’s in Computer Engineering
Bachelor’s in Electrical Engineering
Bachelor’s in Data Science

Skills

computer vision deep learning

Senior Machine Learning Engineer

Find Your Talent (FYT) · Posted Apr 10, 2026

Open

United States
Senior
5+ years

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Lead end-to-end machine learning model development, compression, and on-device deployment for voice biometrics.

Responsibilities

Drive high-velocity experimentation on voice embedding models
Own model compression end-to-end
Build modern ML infrastructure
Deploy optimized models to iOS and Android
Partner with the co-founder to define the ML roadmap

Requirements

Nice to have: audio/speech ML
Nice to have: federated learning
Nice to have: differential privacy
Nice to have: early-stage startup experience

Skills

PyTorch JAX model compression on-device deployment CoreML TFLite ONNX Runtime Weights & Biases HuggingFace

Staff Machine Learning Engineer

Unity Technologies · Posted Sep 17, 2026

Open

Mountain View, California, United States
Full-time · Staff
$172K–$284K per year
6+ years

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A core technical leadership role bringing state-of-the-art computer vision and multi-modal models from research into production-grade systems for AI-driven game experiences.

Compensation

Base Salary Range: We determine the base salary range for this role based on your primary work location: Zone A: $218,400 - $283,900 Zone B: $194,100 - $252,300 Zone C: $172,200 - $223,900

Responsibilities

Help set the technical vision and roadmap for computer vision and multi-modal AI models
Drive design and implementation of models for image and video understanding, generation, segmentation, detection, and dense prediction
Make sound decisions on model architecture, training strategy, data pipelines, and evaluation
Own the path from research prototype to production: training, fine-tuning, distillation, export, and serving
Collaborate directly with research scientists to translate novel CV and multi-modal model architectures into deployable implementations

Requirements

Nice to have: World-model
Nice to have: Video-generation
Nice to have: Neural rendering
Nice to have: NeRF
Nice to have: 3DGS

Skills

Machine Learning Engineering Computer Vision Multi-modal modeling

Principal Machine Learning Engineer

Unity Technologies · Posted Sep 16, 2026

Open

Mountain View, California, United States
Full-time · Principal
$250K–$325K per year
8+ years

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Lead on-device AI inference and systems for Unity’s browser-native runtime, driving performance, optimization, and integration across mobile, desktop, and web platforms.

Compensation

Base Salary Range: Zone A: $250,300 - $325,400

Responsibilities

Own end-to-end optimization pipeline for on-device AI models
Make decisions on quantization, pruning, and distillation
Write and tune WebGPU compute shaders and native kernels
Profile and eliminate bottlenecks with browser and platform tools
Design integration between ML runtime and game engine

Skills

WebGPU WGSL TypeScript JavaScript Python ONNX Runtime Web Transformers.js WebLLM TensorFlow.js CoreML

Staff Machine Learning Engineer

Unity Technologies · Posted Jul 15, 2026

Open

Remote, United States
Remote
Staff
$218K–$284K per year
5+ years

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Senior Machine Learning Engineer for On-Device & Mobile AI

Compensation

Salary range : 218 400.00 USD - 283 900. 00 USD

Responsibilities

Own the optimization pipeline for the models you ship
Apply quantization, weight sharing, pruning, and distillation
Do low-level performance work: write and tune WebGPU compute shaders and native kernels
Profile with browser and platform tools and eliminate bottlenecks
Build parts of the integration between the ML runtime and the game engine

Skills

machine learning on-device optimization quantization model export ONNX Runtime WebGPU Metal Vulkan CUDA Python

Senior Edge AI & Robotics Engineer

Aptiv · Posted Nov 5, 2026

Open

Wuppertal, North Rhine-Westphalia, Germany
Senior
5+ years

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Lead the deployment, optimization, and scaling of AI workloads on embedded and edge computing platforms for autonomous mobile robots, drones, and industrial automation.

Responsibilities

Design, develop, and deploy AI/ML solutions on embedded and edge computing platforms
Optimize inference performance across CPU, GPU, NPU, DSP, FPGA, and heterogeneous SoC architectures
Build scalable Edge AI software pipelines supporting computer vision, sensor fusion, multimodal AI, and real-time decision-making applications
Deploy and optimize models using frameworks such as TensorRT, ONNX Runtime, OpenVINO, TFLite, TVM
Drive model optimization through quantization, pruning, compression, distillation, and hardware acceleration techniques

Requirements

Master's degree or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Computer Engineering, or a related discipline
Nice to have: ROS 2
Nice to have: DDS
Nice to have: robotics middleware
Nice to have: autonomous systems development

Skills

C/C++Python AI inference frameworks TensorRT

Working Student (f/m/d) for Edge AI Technology Scouting and Evaluation

NXP Semiconductors · Posted Nov 5, 2026

Open

Munich, Bavaria, Germany
Hybrid
Part-time · Intern
€19–€19 per hour

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Assist the Edge AI Tooling & Methodologies team with technology scouting, evaluation, and reporting on emerging Edge AI solutions.

Compensation

An attractive hourly wage of €19.40

Responsibilities

Research emerging technologies and industry trends
Analyze and compare open-source frameworks and commercial offerings
Create technical reports and comparison studies
Collaborate with engineering and product teams to identify promising technologies

Requirements

Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Nice to have: Python
Nice to have: Linux
Nice to have: Git
Nice to have: ONNXRuntime

Skills

Python Linux Git ONNXRuntime TFlite Executorch Llama.cpp

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