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
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 ...
Machine Learning Engineer
Austin, TX · On-site
Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems. Qualifications : Required : • Strong ...
Machine Learning Engineer
Austin, TX · On-site
Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems. Qualifications : Required : • Strong ...
Machine Learning Engineer
Austin, TX · On-site
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
Austin, TX · On-site
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
$134K - $249K/yr
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
$134K - $249K/yr
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
$134K - $249K/yr
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
$134K - $249K/yr
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
$134K - $249K/yr
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
Machine Learning Engineer
$134K - $249K/yr
... Machine Learning Engineer ... This role will assist our Online Retail Decision Automation team by helping to research and develop ...
This is a hands-on engineering role focused on production systems, workflow automation, and AI implementation rather than purely research-oriented machine learning work. Responsibilities * Design and ...
Quick apply
This is a hands-on engineering role focused on production systems, workflow automation, and AI implementation rather than purely research-oriented machine learning work. Responsibilities * Design and ...
Machine Learning Engineer
Austin, TX · On-site
$140K - $180K/yr
... researchers. This is not a pure data science role. We're looking for an engineer who enjoys ... Machine Learning Engineering ✔ MLOps Engineering ✔ Platform Engineering ✔ Software ...
Machine Learning Engineer
Austin, TX · On-site
$140K - $180K/yr
... researchers. This is not a pure data science role. We're looking for an engineer who enjoys ... Machine Learning Engineering ✔ MLOps Engineering ✔ Platform Engineering ✔ Software ...
Machine Learning Engineer
Austin, TX · On-site
... research and experimentation to advance machine learning capabilities Collaborate with cross-functional teams to integrate AI solutions into production environments Analyze large datasets to extract ...
Machine Learning Engineer
Austin, TX · On-site
... research and experimentation to advance machine learning capabilities Collaborate with cross-functional teams to integrate AI solutions into production environments Analyze large datasets to extract ...
Machine Learning Engineer
Austin, TX · On-site
... research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to ...
Machine Learning Engineer
Austin, TX · On-site
... research and experimentation to advance machine learning capabilities • Collaborate with cross-functional teams to integrate AI solutions into production environments • Analyze large datasets to ...
Machine Learning Engineer
Austin, TX · On-site +1
About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... that enable research teams to access the data they need. Working closely with engineering ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site +1
About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... that enable research teams to access the data they need. Working closely with engineering ...
Machine Learning Engineer
Austin, TX · On-site
Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC ... research, especially in Generative AI, applying the latest findings and techniques to drive ...
Machine Learning Engineer
Austin, TX · On-site
Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC ... research, especially in Generative AI, applying the latest findings and techniques to drive ...
Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC ... research, especially in Generative AI, applying the latest findings and techniques to drive ...
Role: Jr-Mid Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC ... research, especially in Generative AI, applying the latest findings and techniques to drive ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Formulate research questions to guide the development of neural networks and signal processing ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Formulate research questions to guide the development of neural networks and signal processing ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
Research and implement ML algorithms for a variety of business problems * Automate processes for ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
Research and implement ML algorithms for a variety of business problems * Automate processes for ... Machine learning (ML) algorithms * Predictive modeling and analysis * Data visualization software ...
Machine Learning Engineer
Austin, TX · On-site
Formulate research questions to guide the development of neural networks and signal processing ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...
Machine Learning Engineer
Austin, TX · On-site
Formulate research questions to guide the development of neural networks and signal processing ... for machine learning applications for BCI. * Lead the team by performing at a high standard ...
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 ...
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test ... Develop predictive models and machine learning systems to better understand market behavior and ...
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test ... Develop predictive models and machine learning systems to better understand market behavior and ...
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test ... Develop predictive models and machine learning systems to better understand market behavior and ...
Research at Optiver is highly applied and end-to-end. You'll frame research questions, test ... Develop predictive models and machine learning systems to better understand market behavior and ...
Machine Learning Researcher information
See Austin, TX salary details
$29.7K - $41.9K
4% of jobs
$41.9K - $54K
3% of jobs
$54K - $66.1K
18% of jobs
$66.4K is the 25th percentile. Wages below this are outliers.
$66.1K - $78.2K
9% of jobs
$78.2K - $90.3K
8% of jobs
$90.3K - $102.5K
3% of jobs
$102.5K - $114.6K
3% of jobs
The median wage is $119.1K / yr.
$114.6K - $126.7K
4% of jobs
$126.7K - $138.8K
3% of jobs
$138.8K - $150.9K
3% of jobs
$155.7K is the 75th percentile. Wages above this are outliers.
$150.9K - $163.1K
41% of jobs
$29.7K
$112.1K
$163.1K
How much do machine learning researcher jobs pay per year?
What are some common challenges Machine Learning Researchers face when transitioning from academic research to industry roles?
What are the key skills and qualifications needed to thrive as a Machine Learning Researcher, and why are they important?
What is the difference between Machine Learning Researcher vs Data Scientist?
| Aspect | Machine Learning Researcher | Data Scientist |
|---|---|---|
| Required Credentials | Advanced degrees in CS, ML, or related fields; research experience | Degree in CS, statistics, or related; strong analytical skills |
| Work Environment | Research labs, academia, R&D departments | Business environments, tech companies, consulting |
| Employer & Industry Usage | Universities, research institutions, tech firms | Corporations, startups, finance, healthcare |
| Common Search & Comparison | Focus on theoretical ML advancements | Focus on data analysis & business insights |
While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.
What does a Machine Learning Researcher do?

Other
Re-posted 16 days ago
Job description
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 roleWe 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.
- 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.