AI Engineer, Computer Vision

Niantic SpatialSan Francisco, CAEngineering

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Opens the official Niantic Spatial careers page

Salary

$165.6K – $221K

Job type

Full-time

Work mode

Remote

Experience

Mid

Posted

7 Oct 2026

Status

Open · checked 7d ago

About this role

Niantic Spatial is seeking an AI Engineer, Computer Vision to join the localization team in San Francisco, CA. This full-time hybrid position suits a professional with experience in deep learning and computer vision who wants to build precise spatial intelligence systems.

Role Overview

Niantic Spatial is hiring an AI Engineer, Computer Vision to contribute to deep learning models within the localization system. Located in San Francisco, CA, this role involves working across the full development pipeline, from data pipelines and model training to production deployment. The position is situated within a hybrid work schedule requiring at least three days per week in the office.

Key Responsibilities

Implement, train, and evaluate visual localization models in PyTorch, focusing on feature extraction, matching, image retrieval, pose regression, and scene-coordinate regression.

Contribute to data ingestion and preprocessing pipelines that convert raw images, poses, and 3D point clouds into training datasets.

Run training jobs across GPU environments utilizing a large image corpus while collaborating with infrastructure teams.

Build and maintain the evaluation suite for localization to monitor pose accuracy, recall, and latency under production loads.

Support production deployment by assisting with export, inference optimization, and live monitoring alongside senior engineers.

Bridge research and product development by translating field failures into training data improvements.

Requirements

Experience training deep learning models for computer vision tasks in PyTorch.

Foundational understanding of visual localization, learned feature matching, image retrieval, pose estimation, SLAM, or structure-from-motion, along with underlying 3D geometry.

Comfort working with large image or 3D datasets, including preprocessing and data curation.

Familiarity with GPU-based training and the ability to diagnose bottlenecks in data loading, compute, or architecture.

Strong Python programming skills.

A bachelor's or master's degree in computer science, computer vision, robotics, or a related field, or equivalent practical experience.

Nice to Have

Published or contributed work on learned localization, visual place recognition, scene-coordinate regression, or vision foundation models in venues such as CVPR, ECCV, ICCV, NeurIPS, 3DV, or equivalent.

Experience with large-scale self-supervised or multi-view pretraining, or fine-tuning vision foundation models for geometric tasks.

Exposure to inference optimization for edge or mobile hardware including TensorRT, ONNX, or CoreML.

Experience with petabyte-scale spatial data such as point clouds, meshes, posed image collections, or geospatial indexing.

Background in robotics, augmented reality, 3D reconstruction, digital twins, or autonomous systems.

Prior industry or research internship experience shipping a production computer vision system.

Skills and Tools

PyTorch

Python

TensorRT

ONNX

CoreML

GPU-based training environments

Salary and Benefits

The salary range for this position is $165,600 to $221,000 per year. Additional compensation includes an annual bonus, equity, and comprehensive benefits covering medical, dental, and vision insurance, alongside a 401(k) plan.

About the Company

Niantic Spatial builds physical AI and mapping technology powered by a proprietary database of over 30 billion posed images. The company provides reconstruction and Visual Positioning System technology to customers across robotics, the public sector, and energy and industrial markets.

How to Apply

Candidates should apply directly on the official company careers page.

Skills and tech stack

PyTorch Python TensorRT ONNX CoreML Computer Vision Deep Learning Fine-tuning

Questions candidates ask

What is the location and work model for this role?

The role is based in the San Francisco, CA office on a hybrid schedule requiring a minimum of 3 days per week in the office.

What is the salary range for the AI Engineer, Computer Vision position?

The expected salary range is $165,600 to $221,000 per year, with additional offerings including an annual bonus, equity, and benefits.

What primary framework is required for model training?

Candidates must have experience training deep learning models for computer vision tasks using PyTorch.

What educational background is needed?

A bachelor's or master's degree in computer science, computer vision, robotics, or a related field is required, or equivalent practical experience.

How should applicants apply?

Applicants should submit their application on the official company careers page.

Ready to apply?

The application is on the official Niantic Spatial careers page.

Apply on company site