---
title: 'Senior Research Scientist at Sciforium'
canonical: 'https://feeny.ai/job/senior-research-scientist-sciforium-san-francisco-hg6jttp3fje8'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Research Scientist at Sciforium

- **Company:** Sciforium
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-11-15
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/sciforium/8e98f285-a466-46e8-9fc7-502922c27249

## Job description

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.

## About the role

Sciforium is seeking an exceptional Senior Research Scientist specializing in advanced AI/ML to push the boundaries of scientific and engineering innovation. In this role, you will lead cutting-edge research initiatives in large language models, generative media, model architecture, optimization, and scalable training systems. You will work hands-on with modern ML frameworks, contribute original research, and collaborate with engineering teams to bring impactful models into production. This role is ideal for a highly motivated researcher who is passionate about driving foundational breakthroughs in AI.

## What you'll do

- Lead research in advanced machine learning areas such as LLMs, generative AI, foundational modeling, optimization techniques, diffusion models, and novel Transformer architectures.
- Design, implement, and evaluate novel ML algorithms using frameworks like PyTorch and JAX.
- Conduct large-scale distributed training experiments using multi-GPU/TPU systems and modern compute infrastructure.
- Drive performance improvements through framework debugging, speed optimization, and training pipeline enhancements.
- Produce high-quality research output including papers, internal reports, patents, and reproducible code.
- Collaborate with engineering and product teams to translate research prototypes into scalable production systems.
- Stay ahead of the latest research developments and integrate state-of-the-art techniques into Sciforium’s AI roadmap.
- Mentor junior researchers and contribute to building a world-class AI research culture.

Ideal candidate profile

- PhD in Computer Science, Machine Learning, AI, Mathematics, or a related field (required).
- 5+ years of academic or industry research experience (with flexibility for exceptional fresh PhDs from top programs).
- Proven track record of impactful research, evidenced by publications in NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, or similar top-tier venues.
- Strong coding proficiency in Python, with deep experience in PyTorch and/or JAX.
- Experience with debugging, performance profiling, and speed optimization.
- Expertise in distributed training at scale.

Nice-to-have

- Extensive experience with JAX/Flax/XLA stack
- Experience with efficient model serving, inference optimization, model compression, or production ML systems.
- Hands-on research or engineering experience with diffusion models or generative modeling.
- Experience contributing to product development or collaborating with cross-functional engineering teams.
- Open-source contributions to major ML frameworks or libraries.

## Benefits include

- Medical, dental, and vision insurance
- 401k plan
- Daily lunch, snacks, and beverages
- Flexible time off
- Competitive salary and equity

## Equal opportunity

Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

## About Sciforium

## Company Overview
- **One-liner**: Sciforium is building a vertically integrated AI infrastructure platform that owns its hardware (AMD GPUs) to deliver cost-effective, high-performance inference and foundation model training across text, image, video, and audio modalities.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Hassan Akbari

## Core Business
- **Primary Industry**: AI Infrastructure / Generative AI
- **Target Customers**: B2B; AI teams and enterprises that need scalable, multimodal AI inference and model serving without managing their own infrastructure.
- **Mission**: To rebuild AI serving infrastructure from the ground up—owning the hardware and optimizing the entire pipeline end to end—so that any team, regardless of size or budget, can access the best AI capabilities across every modality without compromise.

## Products & Services
- **AI Inference API**: A drop-in replacement for the OpenAI API format, supporting streaming, tool use, structured outputs, and async generation. Runs on Sciforium’s own AMD hardware for lower cost and stronger privacy.
- **Evaluation Platform**: Built-in pipelines to monitor model performance in real time, catch regressions, and benchmark across models.
- **Native Agents Infrastructure**: Serverless platform for running AI agents at scale without managing servers.
- **Model Library**: Access to state-of-the-art open-source models across text, image, video, and audio (e.g., DeepSeek, Wan2, speech models).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of $3.9M (Seed round closed June 2024)
- **Notable Investors/Partners**: Backed by AMD and SignalFire
- **Growth Signals**: Headcount grew 160% YoY to 8 employees; 10 active job postings as of mid-2025; 99.98% uptime claimed; N+1 power and N+2 cooling redundancy with liquid-cooled infrastructure.

## Competitive Advantages
- **Vertical Integration**: Owns its own AMD hardware and runs its own data centers, removing intermediaries and markups—leading to lower costs and predictable performance.
- **Multimodal Native**: Built from the ground up to handle text, image, video, and audio in a single API, unlike many competitors that focus on text-only.
- **Privacy & Control**: By running on dedicated infrastructure (not shared servers), customers get stronger data privacy guarantees.
- **High Ambition Culture**: Team includes alumni from Google DeepMind, Microsoft, Amazon, Snowflake, Qualcomm, and Columbia University.

## Strategic Focus
- **Infrastructure Ownership**: Continuing to invest in its own AMD GPU clusters and data center operations to maintain cost and performance advantages.
- **Multimodal Expansion**: Scaling support for all data types (text, image, video, audio) with a single API.
- **Agent Readiness**: Building native support for AI agents at scale.
- **Open-Source Ecosystem**: Supporting the latest open-source models on day one.

## Why Work Here
- **Culture**: Highly independent, self-motivated, and creative environment. Small enough that your work is visible from day one. Principles include relentless quality, outcome ownership, and high ambition.
- **Work Policy**: Hybrid and in-office roles available. Offices in San Francisco (HQ) and Los Altos, California.
- **Team**: Small, high-caliber team with deep experience from Google DeepMind, Snowflake, Amazon, Qualcomm, and other top AI/infra companies.
- **Perks**: Work on hard infrastructure problems that matter, at a company backed by AMD and SignalFire. Opportunity to shape the foundation of AI infrastructure from an early stage.

## Sources
1. [sciforium.com](https://sciforium.com/)
2. [sciforium.com/company](https://sciforium.com/company)
3. [linkedin.com/company/sciforium](https://www.linkedin.com/company/sciforium)
4. [builtin.com/company/sciforium](https://builtin.com/company/sciforium)
5. [jobs.ashbyhq.com/sciforium](https://jobs.ashbyhq.com/sciforium)

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