AI Lead

Ayosemi; Boston (MA); Hybrid; USD 180.000 - 320.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Equity

Health, dental, and vision

Zusammenfassung

Ayosemi is building a groundbreaking AI accelerator in Boston. We seek a founding AI practitioner with hands-on experience with foundation models, distributed training, and neural networks to deploy models on prototype hardware and contribute to architecture decisions.

PhD or equivalent industry experience, fluency in Python and industry ML libraries, and a passion for translating deep AI expertise to novel hardware environments are required. This is a fully on-site, senior, full-time role.

Qualifikationen

• PhD in ML or related field or equivalent industry experience.
• Experience training models at scale across many GPUs and large datasets.
• Strong Python proficiency and deep learning knowledge.

Aufgaben

• Deploy and run models on prototype hardware and digital twins.
• Develop algorithms to train models in novel processing environments.
• Collaborate with hardware engineers to refine processor architecture.
• Apply deep AI expertise to new hardware environments.

Kenntnisse

Python

Distributed training

Neural networks

Deep learning architectures

Model deployment

Ausbildung

PhD in machine learning or related field

Equivalent industry experience

Tools

PyTorch

TensorFlow

JAX

Jobbeschreibung

Come build the future of compute with us.

Location

Employment Type

Full time

Location Type

On-site

Department

About Ayo

We are a venture-backed early-stage startup developing processors specialized for machine learning. The processor will provide orders or magnitude improvement in speed and power efficiency with a goal of unseating the GPU as the dominant computing platform for AI.

The Role

We are seeking a deep AI practitioner to join as a founding team member - someone with hands-on experience working on or alongside a foundation model at scale, who understands what happens under the hood when splitting jobs across thousands of GPUs, and who is excited to bring that depth to novel hardware. They have a full-stack understanding of machine learning architectures, love to optimize algorithms across disciplinary boundaries, and will deploy and train models directly on our prototype chips to help us prove out what our processor can do - no prior hardware experience required.

What You’ll Do:

Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on our chips.

Develop and adapt algorithms to train models on novel processing environments, including our prototype hardware.

Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation.

Maintain a deep curiosity about what makes AI systems work - and bring that curiosity to bear on how they run on new hardware.

What We’re Looking For:

PhD in machine learning, representation learning, theory of computation, or a related field - or equivalent industry experience working on foundation models at scale.

Experience training models at scale - distributed training across many GPUs, working with large datasets and compute.

Has built and trained neural networks from scratch

Deep knowledge of the structure and internal operation of neural networks - including how and why they behave the way they do (e.g. interpretability or explainability work is a plus).

Excitement about applying deep AI expertise to new and novel hardware environments - you don’t need prior experience with photonics or silicon, but you want to learn.

Fluent knowledge of Python

Fluency in PyTorch (preferred), TensorFlow, JAX, or other industry-standard ML software libraries

Why Ayo

You'll be a founding AI team member - shaping how we think about and deploy AI as a company.

We are working on a genuinely hard and interesting problem: unseating the GPU as the dominant AI compute platform.

Early-stage means real ownership, real impact, and meaningful equity.

Competitive salary. Equity commensurate with stage and seniority. Benefits package including health, dental, and vision.

Fully onsite in Boston - we are a collaborative, in-person team.