채용
복지 및 혜택
•Healthcare
•401(k)
•Equity
•Learning
•Unlimited Pto
•Commuter
필수 스킬
Project Management
Data Analysis
Operations
SQL
Scale is at the frontier of the AI industry, improving the world’s leading generative AI and large language models through model evaluations, human-powered supervised fine-tuning datasets, world-class reinforcement learning with human feedback, and more.
Scale AI’s Public Sector team is growing in the Generative AI space, and we’re seeking an Strategic Projects Lead to own high-impact projects that drive revenue and experimentation. In this role, you’ll work across operations, engineering, and customer engagement to produce world-class training and test and evaluation data for Large Language Models for our Public Sector customers.
This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets. In addition, you will partner directly with our internal machine learning experts and external stakeholders to ensure our data enables the development of mission-critical applications of AI.
You will:
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Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
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Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
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Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
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Work closely with customers to understand their requirements and design data taxonomies that optimize model performance.
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Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
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Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
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Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines
You have:
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5+ years of experience in product development, data science, or operations
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A history of successful project management and comfort in ambiguity
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Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
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Technical aptitudeto understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc
Nice to have:
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Experience working in defense tech and/or an AI company
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A technical degree in fields like computer science, data science, or engineering
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A deep understanding of ML operations for generative AI workflows / products
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An active Top Secret security clearance
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. 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.
The base salary range for this full-time position in the location of Washington DC is:$138,600—$212,100 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, Cisco, DLA Piper, 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 accommodations@scale.com. 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.
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Scale AI 소개

Scale AI
Series CAccelerate the development of AI applications.
501-1,000
직원 수
San Francisco
본사 위치
$7.3B
기업 가치
리뷰
3.7
10개 리뷰
워라밸
2.8
보상
3.5
문화
3.9
커리어
3.2
경영진
2.6
65%
친구에게 추천
장점
Innovative and interesting work/projects
Supportive team and colleagues
Learning environment and mentorship opportunities
단점
Fast-paced and stressful environment
Poor management and lack of direction
Long hours and heavy workload
연봉 정보
3개 데이터
Junior/L3
L3
Junior/L3 · Data Scientist L3
0개 리포트
$123,049
총 연봉
기본급
-
주식
-
보너스
-
$104,592
$141,506
면접 경험
5개 면접
난이도
3.2
/ 5
소요 기간
14-28주
합격률
20%
경험
긍정 20%
보통 60%
부정 20%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Final Round
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
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