Staff Software Engineer, Full Stack Gen AI
Job Location:
San Francisco, CA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
Our Generative AI Data Engine powers the worlds 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.
This is a horizontal high-impact L6 Staff Fullstack Engineer & Architect position reporting directly to the Director of Contributor Engineering.
Instead of being tied to a single domain your scope is spread across all Contributor (CB) teams (including Allocation Growth Trust & Safety Pay and Allocations). Together these teams power Scales AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities to optimizing contributor onboarding and incentives to safeguarding data integrity through advanced trust safety and security measures. They work at the intersection of ML operations and analytics to ensure we deliver the highest-quality data at scale.
You will act as an organizational architect and tech lead dynamically embedding yourself into the highest-priority projects across the org to guarantee execution unblock teams and successfully ship mission-critical initiatives. Concurrently you will lead the long-term technical evolution of our stack transforming the core architecture to ensure it is highly sustainable scalable and fundamentally AI-native.
You will:
- Deploy flexibly into critical fast-moving product initiatives across the CB organization
- Lead the architectural overhaul of our platform infrastructure making it highly sustainable robust and optimized for deep integration with LLMs and foundation models.
- Lead architecture decisions for scalability reliability and performance
- Mentor and uplevel engineers across the team
- Partner with product and leadership to shape roadmap and priorities
- Own large ambiguous problem spaces end-to-end
- Work across backend frontend and ML systems
Ideally youd have:
- 7 years of full-time engineering experience post-graduation with a proven track record of operating as a Tech Lead Architect or Principal Engineer.
- Track record of shipping high-quality products and features at scale
- Experience tinkering with or productizing LLMs vector databases and the other latest AI technologies
- Proficient in Javascript/Typescript and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS Azure GCP)
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 and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors including job-related skills experience qualifications interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. Youll 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.
Please reference the job postings subtitle for where this position will be located. For pay transparency purposes the base salary range for this full-time position in the locations of San Francisco New York Seattle is:
$252000 - $315000 USD
PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale our mission is to develop reliable AI systems for the worlds most important decisions. Our products provide the high-quality data and full-stack technologies that power the worlds leading models and help enterprises and governments build deploy and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta Ernst & Young Mayo Clinic Time Inc. the Government of Qatar and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors Pay Transparency provision.
PLEASE NOTE: We collect retain and use personal data for our professional business purposes including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs provide our services and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our for additional information.
Required Experience:
Staff IC
About Company
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.
