Machine Learning Research Scientist / Research Engineer, MLDG

2 Months ago • 3-5 Years • Artificial Intelligence

About the job

Job Description

Scale is seeking a Machine Learning Research Engineer with 3+ years of experience in model training/deployment. You'll collaborate with top foundation model labs, design data pipelines, and shape the roadmap for next-gen LLMs. Strong skills in LLMs, deep learning, and communication are essential.
Must have:
  • LLMs & deep learning
  • Model training/deployment
  • Data pipeline design
  • Research collaboration
Good to have:
  • Generative AI
  • Large vision-language models
  • Research publications
  • Customer facing role
Perks:
  • Research partnership
  • Generative AI focus
Not hearing back from companies?
Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

Scale works with the industry’s leading foundation model labs to provide high quality data and accelerate progress in machine learning research. As a Machine Learning Research Engineer, you will design next generation data pipelines and supervision strategies in close collaboration with our customers to accelerate progress in Generative AI. The ideal candidate is highly technical and well-versed in recent research progress for LLMs, while also having great communication skills, customer obsession, and passion for evangelizing new research methods. Successful candidates will become true research partners to several top foundation model labs, contributing technically and strategically to the roadmaps for the next generation of large language models.

You will:

  • Collaborate closely with researchers from the top foundation model labs to design new strategies and data pipelines involving human supervision
  • Partner internally with Scale’s Data Engine team to bring your research and data pipeline ideas to life
  • Shape the roadmap for how post-training data is used to supervise the next generation of large language models
  • Conduct experiments for new research ideas in post-training, leveraging your unique vantage point as a technical partner to several labs
  • Accelerate the meteoric growth of Scale’s Generative AI Data Engine business through deep technical partnership with our customers

Ideally you’d have:

  • At least 3 to 5 years of model training and/or deployment experience in a research or production environment
  • Strong skills in LLMs and deep learning
  • Excellent written and verbal communication skills

Nice to haves:

  • Experience in dealing with large scale AI problems, ideally in the generative-AI field
  • Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. detection, question-answering, captioning, etc. 
  • Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, ICLR, etc.) and/or journals
  • Strong high-level programming skills (e.g., Python) and familiarity with at least one deep learning framework
  • Previous experience in a customer facing role
View Full Job Description

Add your resume

80%

Upload your resume, increase your shortlisting chances by 80%

About The Company

San Francisco, California, United States (Hybrid)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

Mexico City, Mexico City, Mexico (On-Site)

San Francisco, California, United States (On-Site)

Washington, District Of Columbia, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

View All Jobs

Get notified when new jobs are added by Scale AI

Similar Jobs

Rackspace Technology - Principal MLOPs Engineer

Rackspace Technology, United States (Remote)

Intel Corporation - AI Frameworks Architect

Intel Corporation, India (Hybrid)

Mashgin - Senior Software Engineer, Infrastructure

Mashgin, United States (Hybrid)

ByteDance - Software Engineer, ML System Scheduling

ByteDance, United States (On-Site)

ByteDance - Senior Site Reliability Engineer, AI Applications

ByteDance, United States (On-Site)

Airlab Inc  - Artificial Intelligence Researcher

Airlab Inc , Canada (On-Site)

ByteDance - Research Scientist- Foundation Model, Generative AI

ByteDance, United States (On-Site)

Zoox - Offline Perception Internship/Co-op

Zoox, United States (On-Site)

FTF Studios - FTF Mid-Level Programmer

FTF Studios, (Remote)

Get notifed when new similar jobs are uploaded

Jobs in San Francisco, California, United States

Nintendo - Indirect Tax Accountant

Nintendo, United States (Hybrid)

Eleven Labs - Developer Advocate

Eleven Labs, United States (Remote)

Fluence - Commercial Finance Manager

Fluence, United States (Hybrid)

Fliff  Inc  - Junior Product Manager

Fliff Inc , United States (On-Site)

Magic Leap - Sr Optical Engineer, Software

Magic Leap, United States (Hybrid)

Universal Music - Manager, Marketing

Universal Music, United States (On-Site)

Next Level Business Services - SAP C4C

Next Level Business Services, United States (On-Site)

Playtech - iGaming - Card Shuffler - Swing Shift (3PM-11PM)

Playtech, United States (On-Site)

Next Level Business Services - SAP Security & GRC Admin

Next Level Business Services, United States (On-Site)

Magnopus - Director of Design

Magnopus, United States (Hybrid)

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Zoox - Manager, Perception Frameworks

Zoox, United States (Hybrid)

Stonewall Collision & Auto Painting - Lead Data Scientist

Stonewall Collision & Auto Painting, India (On-Site)

AI Fund - Curriculum Developer

AI Fund, India (Remote)

Infoblox - Staff Data Scientist

Infoblox, India (Remote)

Omnissa - Staff Data Scientist

Omnissa, India (Hybrid)

Make - Senior Applied AI Engineer (JS)

Make, Czechia (Hybrid)

Get notifed when new similar jobs are uploaded