채용
복지 및 혜택
•Healthcare
•401(k)
•Equity
•Learning
•Commuter
필수 스킬
Program management
Problem Solving
Communication
ML operations understanding
Scale's public sector business is providing the best of American commercial technology and innovation to protect the homeland and meet the moment. As a member of our public sector delivery team, you will own relationships critical to the portfolio of clients charged with a layered defense for the United States. You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems. All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.
You will:
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Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions
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Transition AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous
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Partner with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains
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Lead a cross-functional team to exceed the customer’s AI/ML objectives
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Support and partner across B2B and B2G organizations to achieve the outcomes in delivering the greater layered defense for the United States
We have a diverse team with a variety of skill sets, many have:
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5+ years of professional experience, often in a customer-facing technical program management role in industry or government.
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A proven track record in B2B or government client facing roles and expanding client relationships
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Prior experience leading engagements with government customers
Must haves:
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An active TS/SCI clearance
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Minimum of 3 years of work experience leading teams / programs in industry or government
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A basic understanding of ML operations process
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A track record of structured, analytics-driven problem-solving
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Excellent verbal and written communication skills
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Willingness to travel at least 25% of the time
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 California is:$163,900—$245,300 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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