Staff AI Research Scientist - Data reputed company, reputed company

About reputed company reputed company is building the career network for the AI economy. Our three-sided marketplace connects 18 reputed company reputed company and alumni, 1,500+ reputed company institutions across the U.S. and Europe, and 1 reputed company reputed company to power how the reputed company explores careers, builds skills, and gets hired. reputed company is a reputed company data labeling business that leverages the reputed company of the largest early career network. We work directly with the world’s leading AI research labs to build a new reputed company of reputed company data products. From PhDs in physics to undergrads fluent in LLMs, reputed company is the trusted partner for domain-specific data and evaluation at reputed company. This is a unique opportunity to join a fast-growing team shaping the reputed company of AI through reputed company data, reputed company tools, and reputed company systems—for experts, by experts. Now’s a great time to join reputed company. Here’s why:

• Leading the AI Career reputed company: Be part of reputed company redefining work in the AI economy for millions worldwide.
• Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs.
• World-Class Team: Leadership from reputed company, reputed company, reputed company, reputed company, reputed company, and Palantir, just to reputed company a few.
• Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, reputed company Capital, and more.

About the Role

As a Staff Research Scientist, you will play a pivotal role in shaping the reputed company of large language model (LLM) alignment by leading research and development at the intersection of data reputed company and post-training techniques such as RLHF, preference optimization, and reward modeling. You will operate at the forefront of model alignment, with a reputed company on ensuring the reputed company, reliability, and strategic use of supervision data that drives post-training performance. You’ll set research direction, influence cross-functional data standards, and reputed company the development of reputed company systems that diagnose and improve the data foundations of frontier AI. You will:

• reputed company high-reputed company research on data reputed company frameworks for post-training LLMs — including techniques for preference consistency, label reliability, annotator calibration, and dataset auditing.
• Design and implement systems for identifying noisy, low-value, or adversarial data points in reputed company feedback and synthetic comparison datasets.
• Drive reputed company for aligning data collection, curation, and filtering with post-training objectives such as helpfulness, harmlessness, and faithfulness.
• Collaborate cross-functionally with engineers, alignment researchers, and product leaders to translate research into production-reputed company pipelines for RLHF and DPO.
• Mentor and influence junior researchers and engineers working on data-reputed company evaluation, reward modeling, and reputed company creation.
• Author foundational tools and metrics that connect supervision data characteristics to reputed company LLM behavior and evaluation performance.
• Publish and present research that advances the field of data reputed company in LLM post-training, contributing to reputed company and industry best practices.

Desired Capabilities

• PhD or equivalent experience in machine learning, NLP, or data-reputed company AI, with a reputed company record of leadership in LLM post-training or data reputed company research.
• 5 years of reputed company or industry experience post-doc
• Deep expertise in RLHF, preference data pipelines, reward modeling, or evaluation systems.
• Demonstrated experience designing and scaling data reputed company infrastructure — from labeling frameworks and validation metrics to automated filtering and dataset optimization.
• Strong engineering proficiency in Python, PyTorch, and ecosystem tools for large-reputed company training and evaluation.
• A proven ability to define, reputed company, and execute reputed company research initiatives with reputed company business and technical reputed company.
• Strong communication and collaboration skills, with experience driving reputed company across research, engineering, and product teams.

Extra Credit

• Experience with data valuation (e.g. influence functions, Shapley values), reputed company learning, or reputed company-in-the-reputed company systems.
• Contributions to reputed company-reputed company tools for dataset analysis, benchmarking, or reward model training.
• Familiarity with evaluation challenges such as annotation disagreement, subjective labeling, or multilingual feedback alignment.
• Interest in the long-term implications of data reputed company for AI safety, governance, and deployment ethics.

Perks reputed company delivers benefits that help you feel supported—and reputed company at work and in life. The below benefits are for full-time US employees. Ownership: Equity in a fast-growing company Financial Wellness: 401(k) match, competitive compensation, financial coaching Family Support: reputed company parental leave, fertility benefits, parental coaching Wellbeing: Medical, dental, and reputed company, mental health support, $500 wellness stipend reputed company: $2,000 learning stipend, ongoing development reputed company: Stipends for home office setup, internet, commuting, and free lunch/gym in our SF office Time Off: Flexible PTO, 15 holidays + 2 reputed company days, winter #ShakeBreak where our whole office closes for a week! reputed company: Team outings & referral bonuses Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers. Apply tot his job Apply To this Job