Machine Learning Architect - Boston
Originally posted 12 May 2026 by the employer.
About the role
This role focuses on deploying and training machine learning models on novel hardware processors specialized for machine learning.
What you'll do
- Deploy and run trained models on prototype hardware and digital twins, producing working demonstrations on chips.
- Develop and adapt algorithms to train models on novel processing environments, including 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 machine learning systems work and how they run on new hardware.
What you'll need
- 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, including distributed training across many GPUs, working with large datasets and compute.
- Built and trained neural networks from scratch.
- Deep knowledge of the structure and internal operation of neural networks.
- Fluent knowledge of Python.
- Fluency in PyTorch, TensorFlow, JAX, or other industry-standard ML software libraries.
Skills: foundation model, distributed training, prototype hardware, neural networks, processor architecture
This role has been open 56 days — well below the 89-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
89 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Ayo | All employers we track in this specialty (507 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 3 | 6292 · 146 employers |
| Median days open | 56 d | 89 d (−33 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: foundation model, distributed training, prototype hardware, neural networks, processor architecture
Who's hiring in this category
- Qualcomm · 104 open roles · median 118 d
- NVIDIA · 88 open roles · median 60 d
- AMD · 32 open roles · median 110 d
- Micron Technology · 27 open roles · median 62 d
- Mobileye · 20 open roles · median 88 d
- Analog Devices · 18 open roles · median 45 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 27 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.