AI Research Scientist
Austin, TX · On-site
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.
AI Research Scientist
Austin, TX · On-site
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.
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...
AI Research Scientist
Austin, TX · On-site
The AI Research Scientist will contribute to webAI's development of next-generation AI models and ... Design, train, and optimize machine learning models including LLMs, multimodal models, transformers ...
AI Research Scientist
Austin, TX · On-site
The AI Research Scientist will contribute to webAI's development of next-generation AI models and ... Design, train, and optimize machine learning models including LLMs, multimodal models, transformers ...
Machine Learning for Biology * Machine Learning for Health/Medicine Responsibilities * Read and write manuscripts for publication in peer-reviewed conferences and journals. * Advance collaborative ...
Machine Learning for Biology * Machine Learning for Health/Medicine Responsibilities * Read and write manuscripts for publication in peer-reviewed conferences and journals. * Advance collaborative ...
Machine Learning for Biology * Machine Learning for Health/Medicine Responsibilities * Read and write manuscripts for publication in peer-reviewed conferences and journals. * Advance collaborative ...
Machine Learning for Biology * Machine Learning for Health/Medicine Responsibilities * Read and write manuscripts for publication in peer-reviewed conferences and journals. * Advance collaborative ...
ML Research Scientist
Austin, TX · On-site
SEMRON is redefining what's possible in AI hardware, and they are seeking an ML Research Scientist ... Required : • PhD or equivalent research experience in machine learning, applied mathematics, or a ...
ML Research Scientist
Austin, TX · On-site
SEMRON is redefining what's possible in AI hardware, and they are seeking an ML Research Scientist ... Required : • PhD or equivalent research experience in machine learning, applied mathematics, or a ...
... Machine Learning, Mathematics, Physics, or a highly quantitative field. Company : The leader in private AI. Founded in 2020, the company is headquartered in Austin, USA, with a team of 51-200 ...
... Machine Learning, Mathematics, Physics, or a highly quantitative field. Company : The leader in private AI. Founded in 2020, the company is headquartered in Austin, USA, with a team of 51-200 ...
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...
Machine Learning Engineer
Austin, TX · On-site
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...
Machine Learning Engineer
Austin, TX · On-site
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Advanced degree in Computer Science, Machine Learning, Robotics, or a related field. * Experience ...
AI Research Scientist
Austin, TX · On-site
The AI Research Scientist will work within webAI's Intelligence Lab as the "brain" of development ... PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field. We at webAI are ...
AI Research Scientist
Austin, TX · On-site
The AI Research Scientist will work within webAI's Intelligence Lab as the "brain" of development ... PhD in Machine Learning, Mathematics, Physics, or a highly quantitative field. We at webAI are ...
Machine Learning Engineer
Austin, TX · On-site
Work closely with researchers, software engineers, and robotics experts to integrate machine ... Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field ...
Machine Learning Engineer
Austin, TX · On-site
Work closely with researchers, software engineers, and robotics experts to integrate machine ... Preferred : • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field ...
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...
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Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...
Staff Applied Scientist - Machine Learning
Austin, TX · On-site
$470K - $615K/yr
Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...
Staff Applied Scientist - Machine Learning
Austin, TX · Hybrid
$470K - $615K/yr
Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...
Staff Applied Scientist - Machine Learning
Austin, TX · Hybrid
$470K - $615K/yr
Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt. * Optimise auction and decisioning logic, applying model predictions to ...
Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics ... Excellent research, analytical, and modeling skills * Experience applying machine learning methods ...
Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics ... Excellent research, analytical, and modeling skills * Experience applying machine learning methods ...
Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics ... Excellent research, analytical, and modeling skills * Experience applying machine learning methods ...
Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics ... Excellent research, analytical, and modeling skills * Experience applying machine learning methods ...
We are open to candidates from either research scientist or engineering backgrounds. Success in ... Strong background in machine learning and modern AI systems, including LLM/VLMs, agent frameworks ...
We are open to candidates from either research scientist or engineering backgrounds. Success in ... Strong background in machine learning and modern AI systems, including LLM/VLMs, agent frameworks ...
Machine Learning Research Scientist information
See Austin, TX salary details
$50.1K - $61.2K
3% of jobs
$61.2K - $72.3K
3% of jobs
$72.3K - $83.4K
3% of jobs
$83.4K - $94.6K
13% of jobs
$102.2K is the 25th percentile. Wages below this are outliers.
$94.6K - $105.7K
4% of jobs
The median wage is $115.7K / yr.
$105.7K - $116.8K
26% of jobs
$116.8K - $128K
3% of jobs
$128K - $139.1K
1% of jobs
$147.4K is the 75th percentile. Wages above this are outliers.
$139.1K - $150.2K
24% of jobs
$150.2K - $161.3K
0% of jobs
$161.3K - $172.5K
19% of jobs
$50.1K
$129K
$172.5K
How much do machine learning research scientist jobs pay per year?
As of Aug 4, 2026, the average yearly pay for machine learning research scientist in Austin, TX is $128,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $171,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as a machine learning research scientist?
To thrive as a Machine Learning Research Scientist, you need a strong background in mathematics, statistics, programming (typically Python or similar), and experience with machine learning frameworks, usually supported by an advanced degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, Scikit-learn, and proficiency in data handling and cloud platforms is highly valued, alongside certifications like Google Cloud ML Engineer as a plus. Innovative thinking, strong communication, and effective problem-solving skills help set exceptional researchers apart. Mastery of both technical and soft skills is essential for developing impactful models, collaborating across multidisciplinary teams, and staying ahead in this fast-evolving field.
What does a machine learning research scientist do?
As a Machine Learning Research Scientist, your typical projects may include developing novel algorithms, conducting experiments on large datasets, implementing and tuning models, and publishing research findings. Your daily responsibilities often involve coding, data analysis, reading the latest literature, collaborating with engineers and product teams, and participating in internal discussions about research direction. You may also mentor junior researchers, contribute to open-source projects, and present results at conferences or internal meetings. This role offers a dynamic work environment where continuous learning and innovative problem-solving are highly encouraged.
What is a machine learning research scientist?
A Machine Learning Research Scientist develops new algorithms and models to advance the field of artificial intelligence. They conduct experiments, analyze data, and publish research to push the boundaries of machine learning theory and applications. Their work often involves designing novel architectures, optimizing existing models, and collaborating with engineers to bring research into production. This role typically requires a deep understanding of mathematics, statistics, and programming, along with experience in areas like deep learning, reinforcement learning, or probabilistic modeling.
What are the most commonly searched types of Machine Learning Research Scientist jobs in Austin, TX? The most popular types of Machine Learning Research Scientist jobs in Austin, TX are:
What are popular job titles related to Machine Learning Research Scientist jobs in Austin, TX? For Machine Learning Research Scientist jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Research Scientist jobs in Austin, TX look for? The top searched job categories for Machine Learning Research Scientist jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Research Scientist jobs? Cities near Austin, TX with the most Machine Learning Research Scientist job openings:
Full-time
Re-posted 15 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 51-200 employees. The company is currently Growth Stage.
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 51-200 employees. The company is currently Growth Stage.