ZipRecruiter

Log In

1

Machine Learning Control Systems Jobs (NOW HIRING)

Quantum Machines

Machine Learning Engineer

Description Quantum Machines (QM) is a global leader in quantum computing control systems. Through ... We are looking for a Machine Learning Engineer to design, build, and deploy machine learning ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsMachine Learning Control Systems Jobs

Machine Learning Control Systems information

See salary details

$61K

$108.8K

$175.5K

How much do machine learning control systems jobs pay per year?

As of Sep 11, 2026, the average yearly pay for machine learning control systems in the United States is $108,776.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What are machine learning control systems?

Machine learning control systems are automated systems that use algorithms and data-driven models to optimize and control dynamic processes. Unlike traditional control systems, which rely on fixed mathematical models, these systems learn from data to adapt to changing conditions and improve their performance over time. They are widely used in fields like robotics, autonomous vehicles, industrial automation, and smart grids to achieve more efficient and robust control. By integrating machine learning, these systems can handle complex, nonlinear, or uncertain environments better than conventional approaches.

How does a machine learning control systems engineer typically collaborate with other teams during a project?

A Machine Learning Control Systems engineer often works closely with multidisciplinary teams, including software developers, data scientists, and hardware engineers. Collaboration involves regular meetings to align control algorithms with system requirements and ensure seamless integration with hardware components. Effective communication is key, as the engineer must translate complex machine learning concepts into actionable tasks for different stakeholders. Additionally, they often participate in joint testing and troubleshooting sessions to optimize system performance and reliability.

What are the key skills and qualifications needed to thrive as a machine learning control systems engineer, and why are they important?

To thrive as a Machine Learning Control Systems Engineer, you need a strong background in control theory, machine learning algorithms, and proficiency in mathematics, often supported by a degree in engineering or computer science. Familiarity with programming languages like Python or MATLAB, experience with simulation tools such as Simulink, and knowledge of relevant frameworks (e.g., TensorFlow, PyTorch) are typically required. Strong problem-solving skills, effective communication, and the ability to work collaboratively across disciplines are valuable soft skills in this role. These competencies are crucial for designing robust, adaptive systems that integrate machine learning with control engineering to solve complex automation and optimization challenges.

What other helpful pages are available for Machine Learning Control Systems?

Other pages related to Machine Learning Control Systems:

Infographic showing various Machine Learning Control Systems job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 4% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $108,776 per year, or $52.3 per hour.

Computer Vision & Machine Learning Engineer, Senior

Austin, TX • On-site

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

$121K - $160K/yr

Full-time

Re-posted 11 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing advanced technologies for autonomous systems. The Senior Computer Vision & Machine Learning Engineer will lead the development of computer vision algorithms and machine learning models for an autonomous gun turret, focusing on drone detection and tracking.
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.
• 6+ 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.

Apply