About the role

Aplyr's Quick Take

This role is for a Computer Vision AI & ML Engineer focused on developing and deploying advanced perception systems for robotics. You'll be involved in the entire machine learning lifecycle, from model development to production integration, blending research with hands-on engineering work.

Good fit

Ideal candidates have a strong background in deep learning and computer vision, with experience in frameworks like PyTorch or TensorFlow. A collaborative mindset and a passion for innovative technology will help you thrive in this dynamic environment.

Worth noting

The company values demonstrated abilities over formal experience, making it a good fit for both seasoned professionals and recent graduates. The role offers significant influence on technical decisions and project direction.

Company Overview

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position Overview

We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Responsibilities

Develop and optimize deep learning models for depth estimation, object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.
Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes.
Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.

Preferred Qualifications

Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
Background in computer vision tasks such as detection, depth estimation, segmentation, tracking, or 3D scene understanding.
Proficiency in Python; familiarity with C++ is a plus.
Experience building training pipelines, evaluation frameworks, and ML deployment workflows.
Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).
Experience with data annotation tools, dataset management, and augmentation techniques.
Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems.
Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.

Skills & Tags

python go machine learning ai ios data product design

Aplyr's read

Skild AI is at the forefront of integrating AI into recruitment, attracting diverse roles from robotics to software engineering, ideal for tech enthusiasts.
Synthesized from recent postings & public sources

What's promising

•Skild AI offers innovative AI solutions for streamlining recruitment processes.
•The company hires for a wide range of technical and creative roles.
•Skild AI is involved in cutting-edge technology, especially in AI and robotics.

What to watch

•The company may face competition from established HR tech giants.
•Limited public information about its financial stability and growth metrics.
•Potential job seekers might find the company's niche focus limiting.

Why Skild AI

•Skild AI specializes in AI-driven talent assessment, setting it apart in HR tech.
•The company integrates robotics into its recruitment solutions.
•Skild AI's diverse role offerings reflect its commitment to multidisciplinary innovation.

Aplyr’s read is generated by AI from public sources. Was it useful?