Software Engineer, Scale AI
Gen AI
$156-195k
+ Equity for eligible roles
3 days a week in office
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$156-195k
+ Equity for eligible roles
3 days a week in office
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- 3+ years of relevant software engineering experience
- Track record of building and shipping products at scale
- Ability to thrive in a fast-paced, high-ownership environment
- Strong product intuition and problem-solving skills
- Experience across the stack: React, Typescript, Node, Python, etc
- Excited to join a hybrid team based in San Francisco or New York City
What the job involves
- Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment
- The data we are producing is some of the most important work for how humanity will interact with AI
- Frontier Data: This team builds high-impact datasets that push the boundaries of LLM capabilities
- We work closely with customers, GTM, and operations to enable advanced reasoning, agentic workflows, and more
- Frontier Data leads some of Scale’s most ambitious projects and sets the standard for AI data quality across the industry
- Growth: Owns the contributor platform experience
- We build tools to improve onboarding, project matching, assessments, and incentives - partnering with ML teams to optimize how contributors are evaluated and assigned
- We also use data science to grow our contributor base and elevate the future of the data labeling ecosystem
- Trust & Safety: This team safeguards the integrity of our Data Engine by detecting and preventing fraud, cheating, and abuse
- We sit at the intersection of ML, analytics, and security to ensure the data we deliver is accurate, secure, and high quality
- Pay, Incentives & Allocation: This team ensures contributors are paid fairly, incentivized effectively, and matched to the right projects
- We own everything from pay rates and fulfillment to the recommendation engine that helps contributors find tasks aligned with their skills and preferences
- Our work is critical to contributor satisfaction and Scale’s ability to deliver great data, fast.work that best fits their skill set, preferences, and the needs of Scale’s business
- Design and implement features end-to-end across front-end, back-end, and infrastructure
- Build features end-to-end using technologies like TypeScript, MongoDB, and Elasticsearch, and contribute to our compute orchestration layer powered by Temporal
- Own high-impact technical systems that are critical to Scale’s revenue delivery
- Build and iterate on complex systems that scale to millions of tasks per week
- Collaborate with model teams, Forward Deployed Engineers, and cross-functional stakeholders
- Help shape the engineering culture, values, and best practices of a fast-growing team
Application process
- As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and the needs of the business
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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