Featherless AI
More roles at Featherless AIMachine Learning Engineer — AI Architecture Research
Remote work allowed only within certain countries or regions.
Employer listed it 9 months ago · Added 5 weeks ago
Been open since 9 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
alternatives or extensions to Transformers, recurrent / hybrid models, long-context systems)
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Region Restricted
Remote work is allowed, but the listing limits candidates to Remote (world).
What the employer says
- Source listing states candidate location: "Remote (world)"
What Nomaders makes of it
- Nomaders could not match this to a wider region
- Check the original posting
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About the Role
We’re looking for a Machine Learning Engineer focused on AI architecture research to help design, prototype, and validate next-generation model architectures. You’ll work at the intersection of research and production — turning new ideas into scalable, real-world systems.
This role is ideal for someone who enjoys questioning architectural assumptions , experimenting with novel model designs, and pushing beyond standard Transformer-style approaches.
What You’ll Work On
Research and develop new neural network architectures (e.g. alternatives or extensions to Transformers, recurrent / hybrid models, long-context systems)
Design and run architecture-level experiments (scaling laws, memory mechanisms, compute trade-offs)
Prototype models end-to-end — from research code to training-ready implementations
Collaborate with inference and systems engineers to ensure architectures are deployable and efficient
Analyze model behavior, failure modes, and inductive biases
Read, reproduce, and extend cutting-edge research papers
Contribute to internal research notes, benchmarks, and open-source efforts (where applicable)
What We’re Looking For
Strong background in machine learning fundamentals and deep learning
Hands-on experience implementing model architectures from scratch
Solid understanding of:
Attention mechanisms, RNNs, state-space models, or hybrid architectures
Training dynamics, scaling behavior, and optimization
Memory, latency, and compute constraints at the model level
Comfortable working in PyTorch or JAX
Ability to move fluidly between theory, experimentation, and engineering
Clear communicator who can explain architectural trade-offs
Nice to Have
Experience with non-Transformer architectures (RNN variants, SSMs, long-context models)
Background in research-driven startups or open-source ML projects
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Featherless AI, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to the employer's careers page.