Offer summary

Qualifications:

Hands-on experience training large language models (LLMs) from scratch., Deep understanding of transformer architectures and applied research., Strong programming skills in Python and experience with PyTorch., Experience with NLP or multimodal models, with a track record of building impactful AI products..

Key responsabilities:

Conduct applied research from data collection to model fine-tuning and evaluation.

Train and fine-tune large language models for complex industry workflows.

Create AI systems with strong reasoning and explainability capabilities.

Collaborate with engineering teams for model deployment and work with complex datasets.

Job description

Create agentic AI for industries where decisions matter: from healthcare to aerospace. Oh, and you’ll have the compute power train large models to solve this challenge.

Your role as Applied Scientist is to build next-generation AI agents solving real problems in regulated STEM fields. From Healthcare to Aerospace. You’ll train large transformer models and work on reasoning and agentic ai to create secure, explainable agentic AI systems for regulated environments.

You'll be joining a top team, ex-big tech and start-up execs and a founder who is a successful entrepreneur with billion-dollar+ exits. This company is tackling the significant architectural, security, and ethical challenges of current AI systems. They've also raised $ 20 million and are already working with companies in industries where standard AI approaches fall short.

Your focus:

Applied research from research to data to model fine-tuning & training and evals.
Training (pre & post-training) and fine-tuning Large Language Models (text and multimodal) specifically for complex industry workflows.
Creating systems with strong reasoning and explainability capabilities
Working with complex datasets (proprietary, customer, and synthetic)
Implementing supervised fine-tuning and reinforcement learning techniques
Collaborating with engineering teams to pass off model deployment

The ideal candidate has:

Hands-on experience training LLMs from scratch
Deep understanding of transformers
Experienced in Applied Research
Strong Python and PyTorch skills
Experience with NLP or multimodal models (computer vision backgrounds considered if you've worked with large transformer models)
Track record of building real AI products with measurable impact

They offer:

Abundant compute resources for training large models
Salary ranges from $200k-$250k for experienced hires, plus up to 20% performance bonus
Significant share package
Healthcare (medical, dental, vision)
401k
20 vacation days and flexible working hours

You'll join a team that values clear communication, hands-on building, and a no-ego culture. The research team is small now but growing to 15-20 members within the next year, giving you significant influence on direction and approach – giving the chance to put your stamp on truly Agentic systems.

You’ll be based in the US – ideally in Seattle, or Miami. Remote is considered for exceptional candidates.

If solving unique technical challenges in an ego-free environment with strong resources appeals to you, reach out for a confidential conversation. Everyone will receive a response.

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