Scale (YC S16) - Senior Fullstack Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 8h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 332d ago
The date the source published, not the day we noticed it (2025-10-17). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Argentina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,062–7,250/mo
Middle 50% of 8 listings that do state pay — Engineering · Senior · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
Sr Fullstack Engineer
At Scale, we are building the data infrastructure that powers the world’s most advanced artificial intelligence systems. Trusted by top AI labs, government agencies, and global enterprises, we accelerate AI development by delivering high-quality training data, rigorous model evaluation, and full-stack tools that enable AI applications at scale. Our data-centric platform helps organizations collect, curate, annotate, and optimize datasets that improve machine learning models — from computer vision and autonomous systems to generative AI and large language models. With a mission to enable reliable, responsible AI for the most important decisions, we partner with industry leaders to drive innovation and impact across sectors.
You Will:
Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
Build ML training and fine-tuning pipelines using Scale's robotics data
Develop tools and systems for robotics data collection, teleoperation, and model evaluation
Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
Build real-time systems for robotic control, sensor fusion, and perception pipelines
Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
Collaborate with ML engineers and researchers to bring robotics research into production
Deliver features at high velocity while maintaining system reliability and performance
Ideally, You Have:
Strong programming skills in Python and TypeScript/Node.js for production systems
Experience with React and modern frontend development for 3D interfaces
Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems (nice to have)
3+ years of software engineering experience in robotics, autonomous vehicles, or related fields (nice to have)
Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
Experience with databases (MongoDB, PostgreSQL) and data processing at scale
Track record of working with cross-functional teams including ML engineers, researchers, and customers
Strong communication skills and ability to operate with high autonomy
Nice to Haves:
Experience with C++
Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
Background in computer vision, SLAM, motion planning, or imitation learning
Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
Experience with ML model deployment and serving frameworks
Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
Experience with workflow orchestration systems (Temporal, Airflow)
Published research or open-source contributions in robotics or autonomous systems
Selection Process
Silver Recruiter Screen
Silver live coding interview (Leetcode Medium)
Client Screening
Client Take Home
Client live coding interviews + take home review