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Computer Research Scientist Jobs in Austin, TX (NOW HIRING)

webAI

AI Research Scientist

Austin, TX · On-site

... Computer Science, Engineering, Mathematics, or a related field Preferred : • Master's or PhD in ... Research experience in generative AI, reinforcement learning, or multimodal learning • ...

webAI Inc

AI Research Scientist

Austin, TX · On-site

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 ...

micro1 AI

Senior Scientific Reviewer - Physics

Austin, TX · On-site +1

$80 - $150/hr

... senior research scientist. * Recent (last ~5 years) representative publications in the relevant ... Reliable access to high-speed internet and a computer suitable for rigorous technical work.

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All JobsComputer Research Scientist JobsComputer Research Scientist Jobs in Austin, TX

Computer Research Scientist information

See Austin, TX salary details

$89.7K

$131.3K

$142.2K

How much do computer research scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for computer research scientist in Austin, TX is $131,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $141,700.00 per year, depending on experience, location, and employer.

What is the difference between Computer Research Scientist vs Data Scientist?

AspectComputer Research ScientistData Scientist
Required CredentialsMaster's or PhD in Computer Science, related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, analytics teams
Employer & Industry UsageUniversities, government agencies, research institutionsCorporations, startups, consulting firms
Common Search & Comparison IntentUnderstanding research roles in computingAnalyzing data to inform decisions

Computer Research Scientists focus on developing new algorithms, theories, and computing methods, often working in research settings. Data Scientists analyze large datasets to extract insights and support business decisions. While both roles require strong technical skills, their work environments and primary objectives differ significantly.

Are computer research scientists still in demand?

Computer research scientists are in high demand due to ongoing advancements in artificial intelligence, machine learning, and data analysis. They typically require strong programming skills and advanced degrees, and employment opportunities are expected to grow faster than average in the coming years.

What are the key skills and qualifications needed to thrive as a computer research scientist?

To thrive as a Computer Research Scientist, you need a strong background in computer science, mathematics, and algorithm development, usually supported by a master's or doctoral degree. Familiarity with programming languages (such as Python, C++, or Java), machine learning frameworks, and research publication tools is typically required. Analytical thinking, creativity, and effective communication are essential soft skills for designing innovative solutions and collaborating with multidisciplinary teams. These skills and qualifications are crucial for advancing technology, solving complex problems, and contributing impactful research to the field.

What is a computer research scientist?

Computer Research Scientists are professionals who invent and design new approaches to computing technology and find innovative uses for existing technology. They conduct research to solve complex problems in computing, develop new computer hardware and software, and work to advance the field of computer science as a whole. Their work often includes developing algorithms, working with big data, and improving the efficiency and security of computer systems. They are typically employed in academia, government, and private industry research labs. A strong background in mathematics, logic, and programming is essential for this role.

What are some common challenges faced by computer research scientists when transitioning a theoretical concept into a practical application?

Computer Research Scientists often encounter challenges when moving from theory to practice, such as aligning their innovative solutions with existing technologies, managing resource limitations, and ensuring scalability. Collaborating with engineers and product teams is essential to adapt research prototypes into real-world systems that are robust and efficient. Additionally, balancing the need for scientific rigor with the fast-paced demands of industry can require effective communication and flexibility. Overcoming these challenges not only enhances the impact of their research but also provides valuable experience for career advancement.

What are popular job titles related to Computer Research Scientist jobs in Austin, TX?

For Computer Research Scientist jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Computer Research Scientist jobs in Austin, TX look for?

The top searched job categories for Computer Research Scientist jobs in Austin, TX are:

Computer Research Scientist jobs near you
Infographic showing various Computer Research Scientist job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $131,290 per year, or $63.1 per hour.

AI Research Scientist

webAI

Austin, TX • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.
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:
Required:
• 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:
• 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
Company:
The leader in private AI. Founded in 2020, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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