Machine Learning Engineer
Austin, TX · On-site
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...
Machine Learning Engineer
Austin, TX · On-site
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...
Additionally, you will analyze the latest research, assess the applicability of emerging deep ... Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ...
Machine Learning Engineer
Austin, TX · On-site
... data analysis, including preprocessing, feature engineering, and leveraging Generative AI ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
Machine Learning Engineer
Austin, TX · On-site
... data analysis, including preprocessing, feature engineering, and leveraging Generative AI ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
Machine Learning Engineer
Austin, TX · On-site
... data analysis, including preprocessing, feature engineering, and leveraging Generative AI ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
Machine Learning Engineer
Austin, TX · On-site
... data analysis, including preprocessing, feature engineering, and leveraging Generative AI ... machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI ...
Machine Learning Engineer
Austin, TX · On-site
... Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI ...
Machine Learning Engineer
Austin, TX · On-site
... Analyze large datasets to extract meaningful insights and support data-driven decisions • Develop scalable machine learning pipelines and systems • Maintain up-to-date knowledge of emerging AI ...
Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for ... export, and analyze their data to inform decisions and streamline business. They are looking to ...
Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for ... export, and analyze their data to inform decisions and streamline business. They are looking to ...
Machine Learning Engineer
Austin, TX · On-site
... Analyze large datasets to extract meaningful insights and support data-driven decisions Develop scalable machine learning pipelines and systems Maintain up-to-date knowledge of emerging AI and ...
Machine Learning Engineer
Austin, TX · On-site
... Analyze large datasets to extract meaningful insights and support data-driven decisions Develop scalable machine learning pipelines and systems Maintain up-to-date knowledge of emerging AI and ...
Machine Learning Engineer
Austin, TX · On-site +1
Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site +1
Working closely with engineering, analytics, data science, and product teams, you'll take our machine learning capabilities to the next level. This is a dynamic opportunity to become the expert on ...
Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...
Preprocess and analyze datasets to ensure data quality. * Collaborate with senior engineers and data scientists on model deployment. * Conduct experiments and run machine learning tests. * Stay ...
Machine Learning Engineer
Austin, TX · On-site
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows. 4+ years of related experience building high throughput scalable ...
Machine Learning Engineer
Austin, TX · On-site
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows. 4+ years of related experience building high throughput scalable ...
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
Analyze and extract key insights from rich stores of customer data * Research and implement ML ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...
Machine Learning Engineer
Austin, TX · On-site
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
Austin, TX · On-site
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
Austin, TX · On-site
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
Austin, TX · On-site
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Machine Learning Engineer
$132K - $244K/yr
... scientists/analysts, and product managers, to help develop and implement machine learning ... algorithms and testing workflows.","responsibilities":"Collaborate with other MLEs to build ...
Director, Machine Learning
Austin, TX · On-site
We are currently looking for a Director of Machine Learning who will take the lead and manage ... problem solving and analytics skills. Capable of forming and advocating an independent ...
Director, Machine Learning
Austin, TX · On-site
We are currently looking for a Director of Machine Learning who will take the lead and manage ... problem solving and analytics skills. Capable of forming and advocating an independent ...
Director, Machine Learning
Austin, TX · Hybrid
We are currently looking for a Director of Machine Learning who will take the lead and manage ... problem solving and analytics skills. Capable of forming and advocating an independent ...
Director, Machine Learning
Austin, TX · Hybrid
We are currently looking for a Director of Machine Learning who will take the lead and manage ... problem solving and analytics skills. Capable of forming and advocating an independent ...
Gather, analyze and implement high-impact statistical models and AI applications in various ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Gather, analyze and implement high-impact statistical models and AI applications in various ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Machine Learning Engineer
Austin, TX · On-site
Gather, analyze and implement high-impact statistical models and AI applications in various ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Machine Learning Engineer
Austin, TX · On-site
Gather, analyze and implement high-impact statistical models and AI applications in various ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Machine Learning Tutor
Austin, TX · Remote
$40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Tutor
Austin, TX · Remote
$40/hr
Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:
Machine Learning Engineer
Austin, TX · On-site
Gather, analyze and implement high-impact statistical models and AI applications in various ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Machine Learning Engineer
Austin, TX · On-site
Gather, analyze and implement high-impact statistical models and AI applications in various ... deploying machine learning models for business applications (1 year). 6. Experience extracting ...
Machine Learning Analyst information
See Austin, TX salary details
$30.2K - $39K
11% of jobs
$39K - $47.8K
9% of jobs
$50.8K is the 25th percentile. Wages below this are outliers.
$47.8K - $56.6K
15% of jobs
$56.6K - $65.3K
15% of jobs
The median wage is $65.6K / yr.
$65.3K - $74.1K
18% of jobs
$80.5K is the 75th percentile. Wages above this are outliers.
$74.1K - $82.9K
11% of jobs
$82.9K - $91.7K
7% of jobs
$91.7K - $100.4K
5% of jobs
$100.4K - $109.2K
4% of jobs
$109.2K - $118K
2% of jobs
$118K - $126.8K
3% of jobs
$30.2K
$71.4K
$126.8K
How much do machine learning analyst jobs pay per year?
As of Jun 10, 2026, the average yearly pay for machine learning analyst in Austin, TX is $71,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,200.00 and $84,800.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Machine Learning Analyst position, and why are they important?
To thrive as a Machine Learning Analyst, you need strong analytical skills, a solid grasp of statistics and programming languages such as Python or R, and typically a degree in computer science, mathematics, or a related field. Experience with machine learning frameworks like TensorFlow or scikit-learn, data visualization tools such as Tableau, and relevant certifications (e.g., Google Data Analytics) are often expected. Excellent problem-solving, collaboration, and communication abilities help you explain complex results and work effectively with cross-functional teams. Together, these skills ensure you can accurately interpret data, build robust models, and present actionable insights that drive organizational growth.
What is a Machine Learning Analyst job?
A Machine Learning Analyst is responsible for analyzing data, building models, and extracting insights using machine learning techniques. They work with large datasets, clean and preprocess data, and apply statistical methods to drive business decisions. Their role often involves collaborating with data scientists, engineers, and business teams to optimize predictive models. Strong programming skills in Python or R, knowledge of machine learning frameworks, and experience with data visualization are essential for this role.
What are typical projects or tasks a Machine Learning Analyst handles on a daily basis?
Machine Learning Analysts commonly work on tasks such as collecting, cleaning, and analyzing large datasets, developing predictive models, and interpreting results to generate actionable business insights. They may also collaborate closely with data engineers, software developers, and business stakeholders to translate business problems into data-driven solutions. Regular responsibilities include preparing data visualizations, running experiments to improve model performance, and documenting their findings for non-technical audiences. This hands-on work in a team-oriented environment ensures that their analyses directly contribute to key business decisions and continuous improvement.
What are popular job titles related to Machine Learning Analyst jobs in Austin, TX? For Machine Learning Analyst jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Analyst jobs in Austin, TX look for? The top searched job categories for Machine Learning Analyst jobs in Austin, TX are:
What cities near Austin, TX are hiring for Machine Learning Analyst jobs? Cities near Austin, TX with the most Machine Learning Analyst job openings:
Full-time
Posted 16 days ago
Job description
About the Team
Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility.
Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.
About the Role
We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems.
You will utilize cloud platforms, orchestration tools, and machine learning frameworks to develop scalable and efficient solutions. Additionally, you will analyze the latest research, assess the applicability of emerging deep learning techniques, and drive innovation in autonomous vehicle technology.
What You'll Do
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.
Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility.
Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.
About the Role
We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems.
You will utilize cloud platforms, orchestration tools, and machine learning frameworks to develop scalable and efficient solutions. Additionally, you will analyze the latest research, assess the applicability of emerging deep learning techniques, and drive innovation in autonomous vehicle technology.
What You'll Do
- Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle's surroundings or predicting the intentions of other road users.
- Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
- Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
- Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
- Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
- Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
- Strong understanding of fundamental machine learning algorithms and neural network techniques.
- Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
- At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
- Working knowledge of C++ and SQL.
- Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
- Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
- Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
- Experience developing ML algorithms for autonomous vehicles or robotics applications.
- Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
- Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
- Experience working in cross-functional teams within a multidisciplinary environment.
- Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.
Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.