Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
Austin, TX · On-site
The role involves developing and optimizing machine learning models, managing large-scale datasets ... Develop efficient workflows for training, validation, and testing, incorporating distributed ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... Temporary Employees & Interns excluded
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Machine Learning Engineer
Plano, TX · On-site
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Quick apply
Machine Learning Engineer
Plano, TX · On-site
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Machine Learning Engineer
Plano, TX · On-site
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Machine Learning Engineer
Plano, TX · On-site
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Machine Learning Internship, Manipulation Department : Robotics Software Engineering Employment ... Whether you're working on advanced motion planning or real-world system testing, you'll tackle ...
Machine Learning Internship, Manipulation Department : Robotics Software Engineering Employment ... Whether you're working on advanced motion planning or real-world system testing, you'll tackle ...
Machine Learning Engineer
Austin, TX · Hybrid
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE Bachelor's degree in related field and 5-8 years ...
Machine Learning Engineer
Austin, TX · Hybrid
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE Bachelor's degree in related field and 5-8 years ...
Machine Learning Engineer
Austin, TX · On-site
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor's degree in related field and 5-8 ...
Machine Learning Engineer
Austin, TX · On-site
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... testing and validation EXPERIENCE AND KNOWLEDGE • Bachelor's degree in related field and 5-8 ...
Machine Learning Engineer
Austin, TX · On-site
$100 - $125/hr
Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... testing and validation**EXPERIENCE AND KNOWLEDGE** • Bachelor's degree in related field and 5-8 ...
Machine Learning Engineer
Austin, TX · On-site
$100 - $125/hr
Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Austin, TXtime type ... testing and validation**EXPERIENCE AND KNOWLEDGE** • Bachelor's degree in related field and 5-8 ...
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
Machine Learning Developer
Dallas, TX · On-site
$150 - $200/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
Machine Learning Developer
Dallas, TX · On-site
$150 - $200/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
Machine Learning Developer
Dallas, TX · On-site
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
Machine Learning Developer
Dallas, TX · On-site
$150 - $200/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
Machine Learning Developer
Dallas, TX · On-site
$150 - $200/hr
The Machine Learning (ML) Developer is the first dedicated ML Development role in the department ... Software engineering fundamentals including version control (Git), unit testing, CI/CD, and common ...
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...
Quick apply
Machine Learning Developer
Dallas, TX · On-site
$115K - $140K/yr
Job Title: Machine Learning Developer Location (city, state): Dallas, Texas - onstie 5x a week ... Create automated CI/CD processes for model training, deployment, testing, and promotion between ...
Senior Machine Learning Engineer
Austin, TX · On-site
$200 - $250/hr
... testing, and integration testing. * Keep track of emerging tech and trends, research the ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
Senior Machine Learning Engineer
Austin, TX · On-site
$200 - $250/hr
... testing, and integration testing. * Keep track of emerging tech and trends, research the ... grade machine learning systems, spanning model training, tuning, deployment, serving, and ...
Machine Learning Engineer
Plano, TX · On-site
$150 - $200/hr
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Machine Learning Engineer
Plano, TX · On-site
$150 - $200/hr
Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product ...
Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights. * Conduct ad hoc research on emerging project topics, including energy fundamental ...
Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights. * Conduct ad hoc research on emerging project topics, including energy fundamental ...
Machine Learning Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to ... You will provide technical direction for the design, implementation, testing, deployment, and ...
Machine Learning Engineer Job Category: Science Time Type: Full time Minimum Clearance Required to ... You will provide technical direction for the design, implementation, testing, deployment, and ...
Temporary Machine Learning Testing information
What is the difference between Temporary Machine Learning Testing vs Data Scientist?
| Aspect | Temporary Machine Learning Testing | Data Scientist |
|---|---|---|
| Credentials | Typically requires knowledge of machine learning tools, programming, and basic statistics | Requires advanced degrees (e.g., Master’s or PhD) in data science, statistics, or related fields |
| Work Environment | Project-based, often temporary roles focused on testing models and algorithms | Long-term, strategic roles involving data analysis, model development, and business insights |
| Industry Usage | Common in tech, finance, and research sectors for specific testing tasks | Widely used across industries for data-driven decision making |
Temporary Machine Learning Testing roles focus on evaluating and validating machine learning models in short-term projects, while Data Scientists develop, implement, and interpret complex data models for ongoing business strategies. Both roles require technical skills, but Data Scientists typically have higher educational credentials and broader responsibilities.
What are popular job titles related to Temporary Machine Learning Testing jobs in Texas?
For Temporary Machine Learning Testing jobs in Texas, the most frequently searched job titles are:
- Machine Learning Engineer From Home
- Embedded Machine Learning Engineer
- Remote Internship Machine Learning Engineer
- Volunteer Large Language Model Llm
- Junior Machine Learning Engineer
- Flexible Machine Learning Engineer Biotech
- Google Cloud Machine Learning Engineer
- Senior Machine Learning Engineer
- Machine Learning Engineer Apprenticeship
- Freelance Data Engineer
What job categories do people searching Temporary Machine Learning Testing jobs in Texas look for?
The top searched job categories for Temporary Machine Learning Testing jobs in Texas are:
- Urgently Hiring Machine Learning Startup
- Junior Machine Learning
- Reinforcement Learning Engineer
- Senior Meta Machine Learning
- Principal Machine Learning Engineer
- Director Google Machine Learning Engineer
- Senior Deep Learning Research
- Learning Disability
- Graduate Machine Learning Engineer
- Contractual Machine Learning Government
What cities in Texas are hiring for Temporary Machine Learning Testing jobs?
Cities in Texas with the most Temporary Machine Learning Testing job openings:
Machine Learning Engineer
Austin, TX • On-site
Avride
Full-time
Re-posted 17 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.