AI Research Scientist
- Level
- Mid
- Work type
- On-site · Austin
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
About the role
webAI's standard text
About Us:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models.
We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.
About the Role:
The AI Research Scientist will work within webAI’s Intelligence Lab as the “brain” of development. Their primary objective is to push the boundaries of what is possible. While they collaborate with engineers, their success is measured by the novelty and efficacy of their models, often operating in a high-uncertainty environment. This individual will work closely with research leadership and applied AI teams to advance scientific discovery while ensuring that innovations translate into real-world impact.
This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. This position is based in-office at our downtown headquarters.
Responsibilities:
- Algorithm Development: Design and train novel architectures (e.g., Transformers, State-Space Models, Diffusion) to solve complex business problems.
- Experimental Design: Lead the hypothesis-testing phase, defining evaluation benchmarks and loss functions that align with human intent.
- Literature Leadership: Stay at the bleeding edge of ArXiv and academic conferences (NeurIPS, ICML, CVPR) to implement or improve upon the latest research.
- Prototyping: Build "proof-of-concept" models that demonstrate a significant leap in accuracy, speed, or reasoning capability.
- Knowledge Transfer: Document findings and mentor engineers on the mathematical nuances of the models.
Qualifications:
- Experience: 5+ years of post-doc or industrial research experience or equivalent university time with a deep experience that matches WIL objectives to include with a track record of publications or significant model releases.
- Technical Depth: Mastery of linear algebra, calculus, and probability; deep proficiency in Python and deep learning frameworks.
- Education: PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field.
webAI's standard text
We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:
- Truth - Emphasizing transparency and honesty in every interaction and decision.
- Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
- Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
- Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.
Benefits:
webAI's standard text
We strive to provide competitive benefits to all employees. The benefits listed in this posting generally apply to U.S.-based employees. For employees hired outside the United States, benefits may vary based on local law, country-specific requirements, and the employment platform or entity through which the employee is hired.
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision benefits package
- Including a high-deductible HSA option with company contribution
- 401k match (US-based only)
- Flexible PTO Policy
- Parental leave for eligible employees
- Continuing education support
- Basic, company-paid life insurance
- Supplemental life insurance
- Company-paid short and long term disability
- Free parking for in-office employees
webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.
What this role asks for
Particular to this role
Deep Learning
Rare in webAI's other 18 open postings.
Standard for data science / ML roles
Python
Common in data science / ML postings at any company.
In most of webAI's ads
Machine Learning
Named in most of its open postings, whatever the role.
59% of this description is written for the role. The rest is webAI's standard text, folded away below.
Compared with webAI's other open jobs.
Other openings for this role
2 open postings for this role in Austin, TX, first posted 2 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.
- 2 October 2026 – open (this posting)
- 2 October 2026 – open
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