AI Research Scientist
Company: webAI
Location: Austin
Posted on: April 2, 2026
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Job Description:
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 contribute to webAI’s development of next-generation
AI models and systems. In this role, you will design, train,
evaluate, and optimize cutting-edge machine learning models
including large language models, multimodal architectures, and
on-device inference systems. You will work closely with research
leadership, applied AI teams, and platform engineering 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.
Responsibilities: Design, train, and optimize machine learning
models including LLMs, multimodal models, transformers, and
diffusion architectures Conduct research on model efficiency,
quantization, compression, and on-device deployment Prototype novel
model architectures, training methods, and inference strategies for
distributed AI Develop and evaluate benchmarks, datasets, and
experimental frameworks to test model performance Collaborate with
engineering teams to integrate research findings into production
systems Stay current on leading research in deep learning,
generative AI, and distributed ML Analyze experimental results and
communicate insights clearly to technical and non-technical
stakeholders Document research findings, contribute to internal
papers, and present technical work across the organization Identify
emerging technologies and propose research directions aligned with
webAI’s strategic priorities Qualifications: 4 years of experience
(can be graduate research) in machine learning research, AI model
development, or related fields Strong expertise in deep learning
architectures including transformers, CNNs, RNNs, and diffusion
models Hands-on experience training and fine-tuning large-scale
models Proficiency in Python and ML frameworks such as PyTorch,
TensorFlow, or JAX Experience building datasets, designing
experiments, and validating ML model performance Deep understanding
of optimization techniques including quantization, distillation,
pruning, and hardware-aware training Strong problem-solving skills
and ability to work independently on complex research tasks
Effective communication skills for presenting research findings to
diverse audiences Bachelor’s degree in Computer Science,
Engineering, Mathematics, or a related field Preferred Skills
Master’s or PhD in Machine Learning, Computer Science, AI, or a
related field Experience with distributed training, edge inference,
or on-device ML Research experience in generative AI, reinforcement
learning, or multimodal learning Familiarity with
privacy-preserving ML techniques such as federated learning
Experience contributing to academic publications, patents, or
open-source ML projects Comfort operating in a fast-paced,
high-growth startup environment 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: Competitive salary and
performance-based incentives. Comprehensive health, dental, and
vision benefits package. 401k Match (US-based only) $200/mos Health
and Wellness Stipend $400/year Continuing Education Credit
$500/year Function Health subscription (US-based only) Free
parking, for in-office employees Unlimited Approved PTO Parental
Leave for Eligible Employees Supplemental Life Insurance 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.
Keywords: webAI, Round Rock , AI Research Scientist, IT / Software / Systems , Austin, Texas
