Software Engineer, Scale AI
Robotics & Autonomous Systems
$248.4-310.5k
+ Equity
Training and validation data for AI applications
Open for applications
Training and validation data for AI applications
1001+ employees
Open for applications
$248.4-310.5k
+ Equity
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
- 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
- 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
Desirable
- 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
What the job involves
- Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision
- In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure
- You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems
- 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
- Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
- 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
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. By positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health, Dental & Vision Coverage: Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options
- Easy to use 401(K): Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings
- Wellness Fund: We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more
- Virtual Social Activities: Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships
- Learning & Development: We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey
- Flexible Work Hours: Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule
- Generous Paid Time Off: Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed
- Commuter Benefits: Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute
- Parental Leave: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexander Wang
(CEO)Dropped out of a bachelors degree at MiT in Computer Science and Mathematics. Previously worked for 2 years as a Software Engineer and Algorithm Developer in the finance industry and 2 years as a Tech Lead at Quora. Youngest founder funded by Accel as a teenager.
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