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Weekend Machine Learning Jobs in Austin, TX (NOW HIRING)

They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning solutions for autonomous systems, focusing on model optimization and data management. Responsibilities ...

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI-enabled solutions that improve software delivery workflows, automate operational processes, and ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building and scaling our AI-powered logistics solutions. You'll design, develop, and maintain the data ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

We are looking for a passionate, highly motivated, and hands-on applied Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by helping to research and develop ...

Machine Learning Engineer

Austin, TX ยท On-site

$140K - $180K/yr

๐Ÿš€ Machine Learning Engineer ๐Ÿ“ Austin, TX (Hybrid/Remote Considered) ๐Ÿ’ฐ $140,000 - $180,000 Base We're partnering with a fast-growing energy firm looking to hire a Machine Learning Engineer to ...

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 ...

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 ...

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 ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

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Weekend Machine Learning information

What are the most commonly searched types of Machine Learning jobs in Austin, TX? The most popular types of Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Weekend Machine Learning jobs? Cities near Austin, TX with the most Weekend Machine Learning job openings:

Machine Learning Engineer

Avride

Austin, TX โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Summary:
Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. They are seeking an experienced Machine Learning Engineer to develop and deploy machine learning solutions for autonomous systems, focusing on model optimization and data management.
Responsibilities:
โ€ข 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 vehicleโ€™s surroundings or predicting the intentions of other road users.
โ€ข Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
โ€ข Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
โ€ข Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
โ€ข 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.
โ€ข 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:
โ€ข Strong understanding of fundamental machine learning algorithms and neural network techniques.
โ€ข Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
โ€ข At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
โ€ข Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
โ€ข Working knowledge of C++ and SQL.
โ€ข Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
โ€ข Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Preferred:
โ€ข Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
โ€ข Experience developing ML algorithms for autonomous vehicles or robotics applications.
โ€ข Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
โ€ข Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
โ€ข Experience working in cross-functional teams within a multidisciplinary environment.
โ€ข 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.