Top 2 Principal data scientist Jobs in Vermont

Senior Principal AI Scientist
Recruits Lab —United States
- $300,000 a year
- Full-time
- Doctoral degree
- Research
- Senior level
- Paid holidays
- Disability insurance
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Senior Principal AI Scientist
Recruits Lab —United States
Track record of driving high-level technical or research direction. Influence the long-term technical roadmap for next-generation generative AI systems.
$300,000 a year
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Principal Data Scientist - AI Trainer
DataAnnotation —Columbus, OH
You'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing…
$50 - $100 an hour
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Principal Software Engineer, AI
Pepper Auditors —Columbus, OH
As one of the first engineering hires, you will help set the technical direction to ensure our audit wokrbench is usable and scalable from our our first 100…
$180,000 - $230,000 a year
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Senior Principal AI Scientist

Recruits Lab
United States

Quick Apply

Job Details

Full-time
$300,000 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
Retirement plan

Qualifications

AI models
Doctoral degree
Research
AI platforms (beyond public GPTs)
Model deployment
Model training
Distributed computing
Machine learning frameworks
Generative AI

Full Job Description

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.

Benefits:

401(k)
Health insurance
Paid time off
Parental leave
Retirement plan
Vision insurance

Work Location: In person

Quick Apply

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Senior Principal AI Scientist

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