Machine Learning Research Scientist
Seattle, Washington, United States
- Pay
- Pay not listed
- Work setting
Hybrid stated — work setting source
Description Location: Seattle, WA (Hybrid - 3 days/week in office) About ElastixAI:
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s listing: FullTime
From the employer’s posting
What you’ll work on
Full postingWe are looking for a talented Machine Learning Research Scientist to play a key role in designing our core AI inference platform.
Conduct research, prototype, and implement novel ML techniques for generative AI
Define and lead applied research initiatives
Write high-quality code, design experiments, and organize results
Work with multi-disciplinary engineers to bring research into production
From the employer’s posting
We are looking for a talented Machine Learning Research Scientist to play a key role in designing our core AI inference platform. You will be actively conducting high impact research on novel ML solutions towards the next generation of efficient intelligence platforms. This is a highly interdisciplinary role where you will collaborate closely with our multi-disciplinary team to ensure novel research ideas contribute to delivering optimal AI inference solutions at scale.
Conduct research, prototype, and implement novel ML techniques to advance state-of-the-art in the generative AI domain.
Define and lead high impact applied research initiatives.
Writing high-quality code, designing and performing experiments, and organizing results.
Work alongside multi-disciplinary engineers to bring research initiatives to production.
What you’ll bring
All qualificationsCore experience
- PhD in Computer Science, Computer Engineering, or a related field
- 3+ years leading ML research initiatives
- Publications in leading conferences and journals
- Experience with generative models such as LLMs and VLMs
- Proficiency in an ML framework such as PyTorch, TensorFlow, or JAX
Qualification wording
PhD in Computer Science, Computer Engineering, or a related field.
3+ years of experience leading Machine Learning research initiatives.
Demonstrated history of research with publications in leading conferences and journals.
Experience with generative models such as LLMs and VLMs.
Proficiency in at least one ML framework (e.g., PyTorch, TensorFlow, JAX).
Education & alternatives
Required Qualifications: - PhD in Computer Science, Computer Engineering, or a related field. - 3+ years of experience leading Machine Learning research initiatives.
Tools in this posting
- C++
- Python
- AWS
- Azure
- Docker
- Google Cloud (GCP)
- Kubernetes
- PyTorch
- TensorFlow
Source — Tool mentions in context
- Proficiency in at least one ML framework (e.g., PyTorch, TensorFlow, JAX). - Strong proficiency in one or more programming languages such as Python, or C++. - Strong communication skills and a proven ability to collaborate effectively in a cross-functional team environment.
- Familiarity with performance analysis, profiling, and optimization techniques. - Experience with cloud platforms (AWS, GCP, Azure). - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Experience with cloud platforms (AWS, GCP, Azure). - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). What We Offer:
- Experience with generative models such as LLMs and VLMs. - Proficiency in at least one ML framework (e.g., PyTorch, TensorFlow, JAX). - Strong proficiency in one or more programming languages such as Python, or C++.
Benefits in the posting
Full benefits wording- Competitive compensation and startup equity package
- Comprehensive medical, dental, and vision coverage (100% paid by employer)
- Paid parental leave
- Gym or fitness benefit
- Commuter benefit
- Investment in employee learning & development
From the employer’s posting.
About elastix
We are building the next-gen AI inference platform.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 18, 2026 · today
- Recorded sightings
- 2
- Employer says posted
- Feb 19, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
About Elastix AI
We are building the next-gen AI inference platform.
Description
Location: Seattle, WA (Hybrid - 3 days/week in office)
About ElastixAI:
ElastixAI is an early-stage startup poised to revolutionize AI inference infrastructure. We are developing a cutting-edge AI inference solution that dramatically improves efficiency. Our solution is going to dynamically adapt to any deployment, constantly evolving to power the next generation AI use cases.
Role Summary:
We are looking for a talented Machine Learning Research Scientist to play a key role in designing our core AI inference platform. You will be actively conducting high impact research on novel ML solutions towards the next generation of efficient intelligence platforms. This is a highly interdisciplinary role where you will collaborate closely with our multi-disciplinary team to ensure novel research ideas contribute to delivering optimal AI inference solutions at scale.
Key Responsibilities:
Conduct research, prototype, and implement novel ML techniques to advance state-of-the-art in the generative AI domain.
Define and lead high impact applied research initiatives.
Writing high-quality code, designing and performing experiments, and organizing results.
Work alongside multi-disciplinary engineers to bring research initiatives to production.
Required Qualifications:
PhD in Computer Science, Computer Engineering, or a related field.
3+ years of experience leading Machine Learning research initiatives.
Demonstrated history of research with publications in leading conferences and journals.
Experience with generative models such as LLMs and VLMs.
Proficiency in at least one ML framework (e.g., PyTorch, TensorFlow, JAX).
Strong proficiency in one or more programming languages such as Python, or C++.
Strong communication skills and a proven ability to collaborate effectively in a cross-functional team environment.
Preferred/Bonus Qualifications:
Research experience in ML model efficiency and optimization.
Familiarity with performance analysis, profiling, and optimization techniques.
Experience with cloud platforms (AWS, GCP, Azure).
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
What We Offer:
A chance to be a foundational engineer in an innovative AI startup.
A dynamic and collaborative work environment and the change to have a significant impact on new technology
The opportunity to work on challenging problems at the intersection of ML, software, and systems.
Competitive compensation and startup equity package
Comprehensive medical, dental, and vision coverage (100% paid by employer)
Flexible Time Off (FTO)
Paid parental leave
Gym or fitness benefit
Commuter benefit
Investment in employee learning & development
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Seattle, Washington, United States
Description Location: Seattle, WA (Hybrid - 3 days/week in office) About ElastixAI:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.