Machine Learning Scientist

3 Months ago • All levels • Research Development

Job Summary

Job Description

LMArena is looking for Machine Learning Scientists to advance the evaluation and understanding of AI models by designing and analyzing experiments that reveal model usefulness, trustworthiness, and capabilities through human preference signals. This interdisciplinary role involves collaboration with engineers, product teams, and researchers to develop new methods for comparing models, analyzing preference data, and identifying performance factors. The ideal candidate will have hands-on experience training large-scale models, a strong foundation in ML and statistics, fluency in the experimental stack, and a collaborative mindset. Responsibilities include designing and conducting experiments, developing novel metrics, analyzing human interaction data, scaling research findings, prototyping ideas, authoring reports, and partnering with model providers to ensure the integrity of AI evaluation.
Must have:
  • PhD or equivalent research experience in ML, NLP, Statistics
  • Strong understanding of LLMs and deep learning architectures
  • Proficiency in Python and ML research libraries
  • Experience designing and analyzing experiments
  • Ability to translate research into practical systems
Good to have:
  • Hands-on experience training large-scale models
  • Experience publishing research or open-source projects
  • Comfortable with real-world usage data and metric design
Perks:
  • Competitive salary and meaningful equity
  • Comprehensive healthcare coverage
  • Opportunity to work on cutting-edge AI
  • Culture valuing transparency, trust, and community impact

Job Details

Machine Learning Scientist (Various)

Location: SF Bay Area/Remote

Type: Full-Time

About the Role:

LMArena is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. 

This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers.

If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for:

  • Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning.

  • Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment.

  • Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.

  • Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs.

Responsibilities:

  • Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions

  • Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks

  • Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences

  • Collaborate with engineers to implement and scale research findings into production systems

  • Prototype and test research ideas rapidly, balancing rigor with iteration speed

  • Author internal reports and external publications that contribute to the broader ML research community

  • Partner with model providers to shape evaluation questions and support responsible model testing

  • Contribute to the scientific integrity and transparency of the LMArena leaderboard and tools

Who is LMArena?

Created by researchers from UC Berkeley’s SkyLab, LMArena is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage.

Why Join Us?

Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback.

Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai, Jeff Dean, Elon Musk, and Sam Altman.

  • High Impact: Your work will be used daily by the world’s most advanced AI labs.

  • Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier

  • Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.

Requirements:

  • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field

  • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)
    Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow

  • Demonstrated ability to design and analyze experiments with statistical rigor

  • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation

  • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks

  • Ability to translate research questions into practical systems and collaborate across engineering and product teams

  • Passion for open science, reproducibility, and community-driven research

What we offer:

  • The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.

  • Competitive salary and meaningful equity

  • Comprehensive healthcare coverage (medical, dental, vision)

  • The opportunity to work on cutting-edge AI with a small, mission-driven team

  • A culture that values transparency, trust, and community impact

Come help build the space where anyone can explore and help shape the future of AI.

Similar Jobs

Mistral AI - AI Scientist - Paris (Internship, Master's students)

Mistral AI

Paris, Île-de-France, France (On-Site)
3 Weeks ago
NVIDIA - Technical Marketing Engineer - AI Platform Software

NVIDIA

Canada (Hybrid)
5 Months ago
Toast - Staff Security Data Engineer

Toast

Bengaluru, Karnataka, India (Hybrid)
2 Months ago
Sully.ai - Senior Software Engineer - Solutions Engineering

Sully.ai

United States (Remote)
4 Weeks ago
Capgemini - Solution/Delivery Architect

Capgemini

Mumbai, Maharashtra, India (On-Site)
3 Months ago
PayPal - Senior Staff Machine Learning Engineer, AI

PayPal

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Open Systems Technologies - Machine Learning Tech Lead

Open Systems Technologies

Madrid, Community Of Madrid, Spain (Hybrid)
3 Weeks ago
AI Fund - ML Engineer

AI Fund

San Francisco, California, United States (On-Site)
3 Months ago
Capgemini - Gen AI

Capgemini

Pune, Maharashtra, India (On-Site)
2 Months ago
Make - HR Automation & AI Lead

Make

Madrid, Community Of Madrid, Spain (On-Site)
3 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Fireworks AI - Site Reliability Engineer

Fireworks AI

New York, United States (Hybrid)
1 Month ago
bytedance - Research Scientist Graduate (Generative AI for Science (ByteDance Seed)) - 2026 Start (PhD)

bytedance

San Jose, California, United States (On-Site)
3 Weeks ago
Intel  - Technical Sales Specialist/Solutions Architect

Intel

Riyadh, Riyadh Province, Saudi Arabia (On-Site)
2 Months ago
Apple - Machine Learning Engineer – Ads Predictions

Apple

New York, New York, United States (On-Site)
1 Month ago
bytedance - Research Scientist in Foundation Models for Science

bytedance

San Jose, California, United States (Hybrid)
3 Months ago
Accenture - AI / ML Engineer

Accenture

Pune, Maharashtra, India (On-Site)
1 Month ago
Fireworks AI - Software Engineer, AI Training Infrastructure

Fireworks AI

Redwood City, California, United States (On-Site)
1 Month ago
Match Group - Machine Learning Engineer (Contents Understanding)

Match Group

Seoul, South Korea (Hybrid)
1 Month ago
Yahoo - Senior Principal Machine Learning Engineer

Yahoo

United States (Hybrid)
2 Months ago

Get notifed when new similar jobs are uploaded

Jobs in California, United States

WebFX - Remote Copywriter

WebFX

United States (Remote)
8 Months ago
Xsolla - Senior Tax Manager – U.S. Tax Compliance

Xsolla

Los Angeles, California, United States (Hybrid)
3 Months ago
Roblox - Principal Engineer, Build and CI/CD

Roblox

San Mateo, California, United States (On-Site)
1 Month ago
Nintendo - Sr Business Systems Analyst (Demantra)

Nintendo

Redmond, Washington, United States (Hybrid)
8 Months ago
ElevenLabs - Global Business Development Lead

ElevenLabs

United States (Remote)
3 Weeks ago
Toast - Retail Account Executive

Toast

Albuquerque, New Mexico, United States (On-Site)
2 Months ago
SimpliSafe - Senior Imaging Systems Engineer

SimpliSafe

Boston, Massachusetts, United States (Hybrid)
1 Month ago
Apple - CPU Debug and Power Management Verification Engineer

Apple

Beaverton, Oregon, United States (On-Site)
3 Months ago
Luma - Data Scientist

Luma

Palo Alto, California, United States (Hybrid)
10 Months ago
Penumbrainc - Strategic Accounts Specialist

Penumbrainc

Alameda, California, United States (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Research Development Jobs

Figma - Software Engineer, Machine Learning

Figma

San Francisco, California, United States (Remote)
2 Months ago
Apple - AIML Software Engineer

Apple

Santa Clara, California, United States (On-Site)
1 Month ago
Lambda - Applied ML Engineer - Inference

Lambda

San Francisco, California, United States (Hybrid)
2 Months ago
EvenUp - Machine Learning Engineer

EvenUp

San Francisco, California, United States (Hybrid)
6 Months ago
DNEG - Gen AI Innovation Specialist

DNEG

London, England, United Kingdom (Remote)
1 Month ago
Reddit - Principal Machine Learning Engineer, Ads Measurement

Reddit

United States (Remote)
2 Months ago
bytedance - Research Scientist - AI Security

bytedance

San Jose, California, United States (On-Site)
4 Months ago
Microsoft - Member of Technical Staff, AI - Pre-Training

Microsoft

Redmond, Washington, United States (On-Site)
4 Months ago
bytedance - Research Engineer, Computer Vision

bytedance

San Jose, California, United States (On-Site)
9 Months ago
Saama - AI Annotator

Saama

Boston, Massachusetts, United States (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

About The Company

California, United States (Hybrid)

San Francisco, California, United States (Hybrid)

California, United States (Hybrid)

United States (Remote)

California, United States (Hybrid)

United States (Remote)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

California, United States (Hybrid)

View All Jobs

Get notified when new jobs are added by LMArena

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug