採用
報酬
$166,400 - $208,000
福利厚生
•Learning
必須スキル
Python
PyTorch
TensorFlow
Machine Learning
PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role.
About the Program
The Human Frontier Collective (HFC) Fellowship brings together top researchers and domain experts to collaborate on high-impact work that are shaping the future of AI. As an HFC Fellow, you’ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems—while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.
What You'll Do
-
ML Projects: Get invited to engage in high-impact projects with our partnered AI labs and platforms. Help models understand real-world deep learning workflows by designing, reviewing, and optimizing Py Torch models, evaluating complex ML code and AI-generated implementations for efficiency and correctness, and advising on GPU optimization, scaling, and trade-offs.
-
HFC Community: Beyond the work, you’ll become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
-
Contribute to Research Publications: Collaborate with Scale’s research team to co-author technical reports and research papers—boosting your academic visibility and professional recognition (e.g., Sci Predict, Propensity Bench, Professional Reasoning Benchmark).
Who Should Apply
-
Education: PhD or postdoctoral degree in Computer Science, Computer Engineering, or a related field.
-
Professional Background: 1-3+ years of experience as a Machine Learning Engineer or Data Scientist.
-
Skills: Strong proficiency in Python and modern ML frameworks (Py Torch, Tensor Flow). Experience with cloud infrastructure (AWS) and MLOps tools (Docker, Langchain) is a plus.
-
Professional Mindset: Detail-oriented, innovative thinker with a passion in applied AI research and a commitment to collaboration.
Why Join the HFC?
-
Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research, while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology.
-
Join a Top-Tier Network: Collaborate with a global network of engineers and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions.
-
Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
-
Competitive Pay: $80-100/hour, depending on projects, skills assessment, and location.
Application Process
-
Apply: We review applications on a rolling basis.
-
Interview: Candidates will get to discuss their research experience, professional background, and alignment with our mission to advance human-centered AI.
-
Join the Collective: Successful candidates will receive an invitation to join the Human Frontier Collective Fellowship.
**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.
総閲覧数
0
応募クリック数
0
模擬応募者数
0
スクラップ
0
類似の求人

Staff Software Engineer, Machine Learning
Saildrone · Alameda, California, United States

Senior Applied Scientist , Sponsored Products and Brands Ads Response Prediction
Amazon · Palo Alto, CA, USA

Principal Machine Learning Engineer
Upstart · United States

Senior Applied AI Engineer (Value Engineering) - Energy Industry
Celonis · New York, US, New York

Senior Manager of AI Enablement & Adoption - Services Operations
Apple · Culver City, CA
Scale AIについて

Scale AI
Series CCerebras Systems Inc. is an American artificial intelligence (AI) company with offices in Sunnyvale, San Diego, Toronto, and Bangalore, India. Cerebras builds computer systems for complex AI deep learning applications.
501-1,000
従業員数
San Francisco
本社所在地
$7.3B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
4.2
キャリア
4.0
経営陣
2.5
72%
友人に勧める
良い点
Innovative projects
Supportive team/environment
Interesting work
改善点
Work-life balance issues and long hours
High pressure/expectations and heavy workload
Management needs improvement
給与レンジ
3件のデータ
Junior/L3
L3
Junior/L3 · Data Scientist L3
0件のレポート
$123,049
年収総額
基本給
-
ストック
-
ボーナス
-
$104,592
$141,506
面接体験
4件の面接
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Final Interview
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Machine Learning Concepts
ニュース&話題
5 Questions for Scale AI’s Jason Droege - Politico
Politico
News
·
6d ago
Epiq and DeepJudge collaborate to scale AI across law firm institutional knowledge - KMWorld
KMWorld
News
·
6d ago
White House accuses China of ‘industrial-scale’ theft of AI technology - Financial Times
Financial Times
News
·
1w ago
Rilian bags $17.5m to scale AI-native cyber platform - FinTech Global
FinTech Global
News
·
1w ago