About Scale At 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 …
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$194k–$352k/yr
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$179k–$224k/yr
Full-time
Health coverage, Dental coverage, Vision coverage, Retirement benefits, Learning and development stipend, Generous PTO
Posted 5d ago
~40 hrs/week
Responsibilities
Design and implement end-to-end features across front-end, back-end, and infrastructure using technologies like TypeScript and Python. Collaborate with cross-functional teams to build and iterate on complex systems that scale to millions of tasks per week.
Requirements
Requires 3+ years of relevant software engineering experience and a track record of shipping products at scale. Candidates must be comfortable working in a fast-paced, high-ownership environment with strong product intuition.
Full job description
About Scale
At 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 Engine
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.
Our Approach
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 business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s 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.
Responsibilities:
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
Requirements:
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
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. 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:
$179,400—$224,250 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 world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's 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 [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's 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 privacy policy for additional information.
Scale’s mission is to develop reliable AI systems for the world’s most important decisions. We provide the high-quality data and full-stack technologies that power the world’s leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
The Scale Generative AI Platform allows customers to build, evaluate, and control advanced AI agents and applications that continuously improve. The Scale Data Engine provides the technology to collect, curate, and annotate high-quality datasets. Through our Scale Labs, we test models with rigorous benchmarks and novel research to ensure breakthroughs translate into systems people can trust.
Scale powers the most advanced LLMs and generative models in the world through RLHF, data generation and model evaluation. We work with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force.
Offices: 303 2nd St, South Tower, 5th FL, San Francisco, California 94107, US
Computer VisionData AnnotationSensor FusionMachine LearningAutonomous DrivingAPIsGround Truth DataTraining DataDeep LearningRobotics
Based on 26770 listings with disclosed salaries, most engineering jobs in California pay between $100k–$242k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in California right now?
There are currently 37,943 open engineering positions in California listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in California?
Companies currently hiring include Northrop Grumman, Northrop Grumman Mission Systems, Inc., Google, Apple, Applied Materials, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in California?
Yes — 9065 of the 37943 open engineering positions offer remote or hybrid work (1820 remote, 7245 hybrid).
How do I apply for Engineering jobs in California?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.