Internship
Machine Learning Research Intern – Frontier Reasoning Intern
Confirmed live in the last 24 hours
Scale AI
1,001-5,000 employees
AI platform for data and models
San Francisco, CA, USA
You match the following Scale AI's candidate preferences
Employers are more likely to interview you if you match these preferences:
- Currently enrolled in a BS/MS/PhD Program with a focus on Machine Learning, Deep Learning, Natural Language Processing, or Computer Vision with a graduation date in Fall 2025 or Spring 2026
- Prior work experience or track record of research publications on LLMs, reasoning, NLP, agents, alignment or a related field
- Experience training neural networks in Python
- Ability to speak and write in English fluently
- Be available for a Summer 2025 (May/June starts) internship
- Research and develop new methods for training models to excel on extremely difficult reasoning problems that require long chains of thought
- Research scalable oversight protocols that enable humans to produce and quality control reasoning chains beyond their native capabilities
- Investigate strategies to refine and enhance data pipelines for model improvement
- Study the boundaries of reasoning model generalization to inform data-driven advancements
- Develop new benchmarks or evaluation methods for gauging advanced reasoning capabilities via outcome or process supervision
- Have had a previous internship involving LLMs, Machine Learning, Deep Learning, Natural Language Processing, Alignment, or Agents.
- Experience as a researcher, including internships, full-time, or at a lab
- Publications in top-tier ML conferences such as NeurIPS, ICLR, CVPR, ICML, COLM, etc. or contributions to open-source projects
- Screaming good coding capabilities as evidenced by open source projects
Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major technology firms like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.
Company Size
1,001-5,000
Company Stage
Series F
Total Funding
$1.6B
Headquarters
San Francisco, California
Founded
2016
Simplify's Take
What believers are saying
- Increased demand for AI data annotation boosts Scale AI's market potential.
- Partnerships in AI safety enhance Scale AI's reputation and industry leadership.
- Government interest in AI defense applications opens new contract opportunities for Scale AI.
What critics are saying
- Legal challenges over labor practices could harm Scale AI's reputation and finances.
- Defense-related AI projects may raise ethical concerns among stakeholders.
- Limitations in AI reasoning capabilities could affect client confidence in Scale AI's solutions.
What makes Scale AI unique
- Scale AI offers comprehensive data annotation for AI model training and validation.
- The company collaborates with CAIS to set new AI reasoning benchmarks.
- Scale AI's platform supports diverse clients, including tech giants and government agencies.
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Benefits
Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.
Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.
Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.
Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.
Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.
Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.
Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.
Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.
Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.
Growth & Insights and Company News
6 month growth
↓ -2%1 year growth
↑ 4%2 year growth
↓ -2%BIBLIOnomics, the Halifax startup that helps clients develop relationships with gifts of books, is one of the first companies in the country to land $35,000 in funding from the federal Scale AI program. The boost from the federal government’s program that supports artificial intelligence...
SAN FRANCISCO, Jan. 23, 2025 /PRNewswire/ -- The Center for AI Safety (CAIS) and Scale AI today announced the results of a groundbreaking new AI benchmark that was designed to test the limits of AI knowledge and whether the models are capable of chain-of-thought reasoning. The results demonstrated a significant improvement from the reasoning capabilities of earlier models, but current models still were only able to answer fewer than 10 percent of the expert questions correctly. The new benchmark, called "Humanity's Last Exam," evaluated whether AI systems have achieved world-class expert-level reasoning and knowledge capabilities across a wide range of fields, including math, humanities, and the natural sciences. Throughout the fall, CAIS and Scale AI crowdsourced questions from experts to assemble the hardest and broadest problems to stump the AI models. The exam was developed to address the challenge of "benchmark saturation": models that regularly achieve near-perfect scores on existing tests, but may not be able to answer questions outside of those tests
Scale AI, valued at $13.8 billion, faces growing legal scrutiny over its labor practices.
Scale AI, a unicorn tech startup worth $13.8 billion, accused of widespread wage theft.
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Swift Ventures has unveiled a new artificial intelligence company index today, creating the first systematic scoring system to identify public companies making genuine investments in AI technology rather than just talking about it in earnings calls.The venture capital firm developed the index by fine-tuning large language models to analyze thousands of earnings transcripts, hiring data, and research contributions. The analysis revealed that while companies mentioned AI over 16,000 times in last quarter’s earnings calls, only a small fraction are making substantial investments in the technology.“Everyone sees that the world’s changing — AI is changing the world, but most people, they just don’t have a way to partake in the upside,” said Brett Wilson, cofounder of Swift Ventures, in an exclusive interview with VentureBeat. “They can’t invest in private companies like I do as a VC, and it’s just not easy to find true AI companies beyond just buying Nvidia or the Magnificent Seven.”How top AI companies are crushing market returns: New performance dataThe index currently tracks approximately 90 companies and uses three primary metrics: investment in AI research and open-source contributions, AI talent density, and revenue derived from AI operations.Companies that meet the criteria for inclusion in the index have demonstrated remarkable market performance, with the index showing 37% annual growth over the past three years, substantially outperforming both the Nasdaq’s 12% and the SP’s 19% growth during the same period.Perhaps most striking is the correlation between research investment and profitability. Wilson noted, “When we looked at companies that are regularly contributing to AI research and open-source models, you see it reflected in their profitability