Machine Learning Engineer
Austin, TX · On-site
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...
Machine Learning Engineer
Austin, TX · On-site
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...
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 ...
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 ...
Machine Learning Engineer
Austin, TX · On-site
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 ...
Machine Learning Engineer
Austin, TX · On-site
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 ...
Machine Learning Engineer
Austin, TX · On-site
This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...
Machine Learning Engineer
Austin, TX · On-site
This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud ...
Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud ...
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...
Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...
Staff Machine Learning Engineer
$120K - $550K/yr
We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance ...
Quick apply
Staff Machine Learning Engineer
$120K - $550K/yr
We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real-world applications that can change industries, enhance ...
Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers. Join Amazon Infrastructure Engineering's AI/ML team to design and ...
New
Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers. Join Amazon Infrastructure Engineering's AI/ML team to design and ...
New
Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers. Join Amazon Infrastructure Engineering's AI/ML team to design and ...
New
Do you want to solve complex network management problems using machine learning to improve experiences for millions of customers. Join Amazon Infrastructure Engineering's AI/ML team to design and ...
New
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...
Artificial Intelligence/Machine Learning Engineer Location: Austin, TX - Hybrid - Onsite and Telework Duration: 12 Months (Extendable) Job Summary We are seeking an experienced Artificial ...
Artificial Intelligence/Machine Learning Engineer Location: Austin, TX - Hybrid - Onsite and Telework Duration: 12 Months (Extendable) Job Summary We are seeking an experienced Artificial ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and ...
Machine Learning Engineer
Austin, TX · On-site
$224K - $279K/yr
Partner with data engineering and product pods to put predictions in the tools people already use. What We're Looking For * The below is a starting point. We always make space for exceptional people ...
Machine Learning Engineer
Austin, TX · On-site
$224K - $279K/yr
Partner with data engineering and product pods to put predictions in the tools people already use. What We're Looking For * The below is a starting point. We always make space for exceptional people ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...
Role: Artificial Intelligence/Machine Learning Engineer 1 Location: Austin, TX 78752 Hybrid - On Site (3/2) Only Local to Austin, TX Profile Will Be Considered. Contract: 12+ Months DESCRIPTION OF ...
Role: Artificial Intelligence/Machine Learning Engineer 1 Location: Austin, TX 78752 Hybrid - On Site (3/2) Only Local to Austin, TX Profile Will Be Considered. Contract: 12+ Months DESCRIPTION OF ...
Entry Level Machine Learning Engineer information
See Austin, TX salary details
$30K - $38K
2% of jobs
$38K - $46.1K
10% of jobs
$51.3K is the 25th percentile. Wages below this are outliers.
$46.1K - $54.1K
20% of jobs
$54.1K - $62.1K
13% of jobs
The median wage is $64.1K / yr.
$62.1K - $70.1K
21% of jobs
$75.3K is the 75th percentile. Wages above this are outliers.
$70.1K - $78.1K
14% of jobs
$78.1K - $86.1K
7% of jobs
$86.1K - $94.1K
5% of jobs
$94.1K - $102.1K
3% of jobs
$102.1K - $110.1K
2% of jobs
$110.1K - $118.2K
2% of jobs
$30K
$69.5K
$118.2K
How much do entry level machine learning engineer jobs pay per year?
As of Jul 29, 2026, the average yearly pay for entry level machine learning engineer in Austin, TX is $69,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $78,600.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?
To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.
What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?
As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
What is an Entry Level Machine Learning Engineer job?
An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.
What are the most commonly searched types of Machine Learning Engineer jobs in Austin, TX? The most popular types of Machine Learning Engineer jobs in Austin, TX are:
What are popular job titles related to Entry Level Machine Learning Engineer jobs in Austin, TX? For Entry Level Machine Learning Engineer jobs in Austin, TX, the most frequently searched job titles are:
- Entry Level Mechanical Design Engineer
- Entry Level Design Verification Engineer
- Entry Level Physical Design Engineer
- Entry Level Acoustic Engineer
- Machine Learning Finance
- Freelance Entry Level Design Verification Engineer
- Freelance Entry Level Mechanical Engineer
- Temporary Optical Engineer Entry Level
- Entry Level R&D Mechanical Engineer
- Entry Level Software Engineer Relocation
What job categories do people searching Entry Level Machine Learning Engineer jobs in Austin, TX look for? The top searched job categories for Entry Level Machine Learning Engineer jobs in Austin, TX are:
- Fea
- Network Engineer Internship
- Internship Meta Mechanical Engineer
- Internship Spacex Machine Learning
- Mechanical Engineer Internships
- Entry Level Specification Engineer
- Entry Level Engineering Consulting
- Entry Level Nvidia Mechanical Engineer
- Machine Learning Petroleum Engineer
- Entry Level Analog Layout Design Engineer
What cities near Austin, TX are hiring for Entry Level Machine Learning Engineer jobs? Cities near Austin, TX with the most Entry Level Machine Learning Engineer job openings:
Full-time
Posted 5 days ago
Job description
Job Summary:
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and optimizing machine learning models, managing large-scale datasets, and collaborating with cross-functional teams to integrate solutions into real-world applications.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• 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.
Company:
Avride is a developer and operator of autonomous vehicles and delivery robots. Founded in 2017, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.