Full-Time

3D Computer Vision Engineer

Avala AI

Avala AI

51-200 employees

AI-driven solutions provider for businesses

Compensation Overview

$130k - $190k/yr

+ Stock Awards

San Francisco, CA, USA

In Person

Category
AI & Machine Learning (1)
Required Skills
Tensorflow
Neural Networks
Pytorch
Computer Vision
Data Analysis
Requirements
  • 3D Vision & Graphics Expertise: Experience with camera models, multi-view geometry, rendering pipelines, and one or more specialized areas such as object detection/tracking, pose estimation, depth estimation, panoptic segmentation, 3D reconstruction, visual SLAM, or neural rendering (e.g. NeRFs, Gaussian Splatting).
  • Solid Mathematical Fundamentals: Proficiency in linear algebra, computational geometry, vector calculus, probability theory, and numerical optimization.
  • Deep Learning Knowledge: Familiarity with modern architectures (transformers, diffusion models, autoregressive models, CNNs, etc.) and associated frameworks (PyTorch, TensorFlow, etc.).
  • Plus Skills: Experience with real-time graphics, sensor fusion, signal processing, computational photography, or robotics is a bonus.
  • Strong Engineering Foundations: Adherence to best practices in software development, ability to write clean and maintainable code, and a team-focused mindset for code reviews and collaboration.
Responsibilities
  • Spatial Computing & Reconstruction: Develop cutting-edge solutions using NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM.
  • Mission-Critical Perception: Create robust 3D perception and scene understanding systems that enhance safety and performance for a wide range of robotics and AV applications.
  • 4D Data Labeling & Visualization: Collaborate with cross-functional teams to refine and scale Avala’s 4D labeling platform for cars, humanoid robots, and drones.
  • Software Engineering Best Practices: Employ strong coding, testing, and deployment practices to develop novel work quickly, safely, and efficiently.
  • Boundary-Pushing Innovation: Continuously explore new methods and technologies that push the envelope in 3D vision, neural rendering, and large-scale data processing.

Avala AI builds artificial intelligence solutions for businesses, focusing on AI-driven applications that can include interactive or visually engaging AI interfaces. Its products and services likely combine machine learning with real-time interactive design elements, possibly leveraging tools like Rive to create animated, responsive AI-driven experiences. The company works with clients across various industries to optimize operations, enhance customer experiences, and gain competitive advantages, typically through a service or subscription-based model as well as project-based engagements. What sets Avala AI apart is its emphasis on interactive, design-forward AI experiences (enabled by real-time visuals) that can be integrated into multiple business contexts, rather than a single-domain solution. The overall goal is to help organizations adopt AI to improve efficiency, decision-making, and user engagement across sectors.

Company Size

51-200

Company Stage

Seed

Total Funding

$4.2M

Headquarters

San Francisco, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Autonomous vehicle market expansion: exhibiting at AV Tech Expo 2026 with 4D multi-modal labeling.[7]
  • Mission Control product captures entire AI Ops workflow from dataset curation through deployment.[1]
  • Programmatic access via Python SDK, REST API, CLI accelerates enterprise integration and adoption.[5]

What critics are saying

  • Customer concentration: loss of single major AV customer eliminates 30–50% revenue with 66-person team.[7]
  • Funding cliff: $4.2M seed (April 2021), no Series A by April 2026; runway exhaustion imminent.[1]
  • Hyperscaler competition: AWS, Azure, Google offer managed labeling services undercutting Avala's pricing.[7]

What makes Avala AI unique

  • 4D Gaussian Splatting engine uniquely reconstructs physical scenes with physics-grade fidelity for autonomous vehicles.[4]
  • Vertically integrated platform unifies data ingestion, annotation, curation, QA, and model ops end-to-end.[4]
  • Managed workforce of 15,000+ enables 1 billion annotations daily with Human+AI hybrid quality gates.[7]

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Benefits

Competitive salary ($80k-165k)

Clear path for career growth

Company laptop

Unlimited PTO

Leveling up opportunities

Team bonding events

Stock options.

Remote friendly

Medical, dental, & vision insurance

Flexible parental leave

Flexible hours

Growth & Insights

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

27%