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

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... and transformer architecture. Skilled in communication, problem solving, critical thinking ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... and transformer architecture. Skilled in communication, problem solving, critical thinking ... Experience building data processing pipelines and large scale machine learning systems with ...

Apple

Senior Machine Learning Engineer

Austin, TX

$184K - $324K/yr

... and transformer architecture. Skilled in communication, problem solving, critical thinking ... Experience building data processing pipelines and large scale machine learning systems with ...

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All JobsMachine Learning Architect JobsMachine Learning Architect Jobs in Austin, TX

Machine Learning Architect information

See Austin, TX salary details

$46.1K

$127.6K

$199.7K

How much do machine learning architect jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning architect in Austin, TX is $127,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,200.00 and $164,500.00 per year, depending on experience, location, and employer.

What does a machine learning architect do?

A Machine Learning Architect designs and oversees the implementation of machine learning systems, ensuring they are scalable, efficient, and aligned with business goals. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate technologies, and optimize model deployment. Their role includes managing ML workflows, ensuring data pipeline integrity, and addressing challenges like model performance, scalability, and reliability.

What skills and qualifications are needed to be a machine learning architect?

To thrive as a Machine Learning Architect, you need deep expertise in machine learning algorithms, data science, and software engineering, typically backed by an advanced degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ML frameworks (such as TensorFlow and PyTorch), and professional certifications in machine learning or data engineering is highly valuable. Exceptional problem-solving, leadership, and cross-functional communication skills help you effectively design solutions and collaborate with diverse technical teams. These skills are essential for architecting robust, scalable ML systems that align with business objectives and drive innovation.

What is the salary of a machine learning architect?

The salary of a machine learning architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.

What are popular job titles related to Machine Learning Architect jobs in Austin, TX?

For Machine Learning Architect jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Architect jobs in Austin, TX look for?

The top searched job categories for Machine Learning Architect jobs in Austin, TX are:

Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in Austin, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $127,624 per year, or $61.4 per hour.

Computer Vision & Machine Learning, Staff

Austin, TX • On-site

Allen Control Systems
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Allen Control Systemsexternal

Full-time

Re-posted yesterday

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing autonomous systems for drone neutralization. The Staff Computer Vision & Machine Learning role involves leading the development of algorithms for drone detection and classification while collaborating with engineers to integrate these systems into hardware.
Responsibilities:
• Lead the development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 9+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy mentoring and collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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