Senior Fullstack Software Engineer, GenAI Trust & Safety
Company: Scale AI, Inc.
Location: San Francisco
Posted on: April 24, 2025
Job Description:
About ScaleAt Scale AI, our mission is to accelerate the
development of AI applications. For 8 years, Scale has been the
leading AI data foundry, helping fuel the most exciting
advancements in AI, including: generative AI, defense applications,
and autonomous vehicles. With our recent Series F round, we're
accelerating the abundance of frontier data to pave the road to
Artificial General Intelligence (AGI), and building upon our prior
model evaluation work with enterprise customers and governments, to
deepen our capabilities and offerings for both public and private
evaluations.About Data EngineOur 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.About our Trust and Safety teamThe
Trust and Safety team protects the genAI Data Engine against
potential fraud, cheating, and abuse patterns that are emerging in
the GenAI era. Identifying and mitigating bad actors is key to
ensuring excellent data quality for our customers. The team works
at the intersection of machine learning, analytics, and security in
an ever-evolving space.Responsibilities:
- Own large areas within our product
- Build features end-to-end: front-end, back-end, system design,
debugging and testing
- Deliver experiments at a high velocity and level of quality to
engage our customers
- Work across the entire product lifecycle from conceptualization
through production
- Influence the culture, values, and processes of a growing
engineering team
- Collaborating with cross-functional teams to define, design,
and ship new product features and experiences.Requirements:
- At least 3 years of relevant experience is preferred
- Track record of shipping high-quality products and features at
scale
- Desire to work in a very fast-paced environment
- Ability to turn business and product ideas into engineering
solutions
- Excellent problem-solving skills, and be able to work
independently or as part of a team.
- Excited to join a dynamic, hybrid team in either San Francisco
or New York CityPotential projects:
- Implement new signals and improve existing signal quality to
counter coordinated fraud vectors
- Build framework for dynamic verifications and remediations
- Work with the ML team to integrate models into product
flowsCompensation 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. 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. 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.Please reference the job posting's 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:$188,000$225,600 USDPLEASE 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, we believe
that the transition from traditional software to AI is one of the
most important shifts of our time. Our mission is to make that
happen faster across every industry, and our team is transforming
how organizations build and deploy AI. Our products power the
world's most advanced LLMs, generative models, and computer vision
models. We are trusted by generative AI companies such as OpenAI,
Meta, and Microsoft, government agencies like the U.S. Army and
U.S. Air Force, and enterprises including GM and Accenture. 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 accommodations@scale.com. Please
see the United States Department of Labor's for additional
information.We comply with the United States Department of Labor's
.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
Keywords: Scale AI, Inc., Watsonville , Senior Fullstack Software Engineer, GenAI Trust & Safety, IT / Software / Systems , San Francisco, California
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