Live opening · Posted 12 days ago

Director-Level AI Scientist – Foundation Models & Generative AI Principal AI Scientist

Recruits Lab · United States (Remote)
Linkedin Yes
JobBeeper subscribers received an alert for this role.

At a glance

The key details from the original listing.

Posted 12 days ago
CompanyRecruits Lab
LocationUnited States (Remote)
Salary12 benefits
Work modeYes
SourceLinkedin
ListedPosted 12 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
17 min from Linkedin publishing this role to us finding it
5 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
64,770 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

Director-Level AI Scientist – Foundation Models & Generative AI
Remote (U.S.) | Full-Time | $300,000 Base + $60,000 STIP + $50,000–$100,000 Sign-On
We're partnering with an industry-leading AI technology company building the next generation of foundation models powering intelligent, real-world systems at global scale.
This is a senior research opportunity for someone who has personally built and trained large language or foundation models from scratch at scale — not simply fine-tuned existing models.
What You'll Do
Design and train large-scale transformer and foundation models from the ground up.
Own key architectural decisions across language, multimodal, and emerging model architectures.
Lead research into optimization, scaling laws, training stability, and model efficiency.
Solve training divergence and convergence challenges across large-scale GPU clusters.
Develop approaches to improve inference performance and compute efficiency.
Partner with ML systems engineers while owning model architecture and research direction.
Influence the long-term technical roadmap for next-generation generative AI systems.
What You'll Bring
Proven experience pre-training large-scale LLMs or foundation models from scratch.
Deep expertise in transformers, modern deep learning, optimization, and representation learning.
Strong knowledge of attention architectures, RoPE, GQA, MoE, and related techniques.
Experience with FSDP, ZeRO, tensor parallelism, pipeline parallelism, and distributed GPU training.
Hands-on experience with BF16/FP8, gradient checkpointing, and large-scale training infrastructure.
Strong understanding of scaling laws, compute/data tradeoffs, and training stability.
Experience with RLHF, DPO, GRPO, or other modern alignment techniques is highly desirable.
Track record of driving high-level technical or research direction.
You'll Solve Problems Like
Preventing training divergence at extreme model scale.
Improving model convergence and generalization.
Scaling training efficiently across large GPU clusters.
Building multimodal and hybrid foundation-model architectures.
Advancing production-grade generative AI capabilities.
Compensation & Benefits
Base Salary: $300,000
Annual STIP: $60,000
Sign-On Bonus: $50,000–$100,000
Equity opportunity
Comprehensive medical, dental, and vision coverage
Life and disability insurance
Generous PTO and paid holidays
Retirement benefits
Remote work flexibility
If you've built foundation models from scratch and want to take a senior role shaping next-generation AI systems deployed at global scale, we'd love to hear from you.

Work arrangement
Yes

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App