At Scale, we're looking for a talented Software Engineer to join our team. As a member of our team, you will play a key role in accelerating the development of AI applications. You will work closely with our team to design, develop, and deploy scalable software solutions that meet the needs of our customers.
Our team is responsible for building and maintaining a range of software systems, including our labeling platform, fraud-detection systems, and customer service RAG application. You will have the opportunity to work on a variety of projects, from building methodical fraud-detection systems to devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.
We're looking for someone with a strong background in software engineering, excellent problem-solving skills, and a passion for working with AI technologies. You should be comfortable working in a fast-paced environment and be able to collaborate effectively with our team.
In this role, you will have the opportunity to work on a range of exciting projects, including:
- Building methodical fraud-detection systems to remove bad actors and keep Scale's contributor base safe and trusted.
- Using models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scale.
- Devise advanced matching algorithms to match labelers to customers for optimal turnaround and accuracy.
- Build methods to automatically measure, train, and optimally match labelers to tasks based on performance.
- Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ labelers to complete billions of complex tasks.
If you're passionate about software engineering and AI, and want to be part of a dynamic team that's making a real impact, we'd love to hear from you.
Requirements:
- A graduation date in Fall 2025 or Spring 2026 with a Bachelor’s degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics).
- Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out ‘what’ to build and then iterating.
- Previous Product/Software Engineering Internship experience.
- Track record of shipping high-quality products and features at scale.
- Experience building systems that process large volumes of data.
- Experience with Python, Typescript, React, and/or MongoDB.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.
You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is $124,000-$155,000 USD
XML job scraping automation by YubHub
