AI Systems Engineer Jobs

Discover the latest remote and onsite AI Systems Engineer roles across top active AI companies. Updated hourly.

Check out 35 new AI Systems Engineer opportunities posted on The Homebase

Software Engineer, macOS Core Product - Tempe, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions for high-priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Tempe, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Salem, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Salem, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Abilene, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Abilene, United States
Maybe global
Remote

Software Engineer, macOS Core Product - West Jordan, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

West Jordan, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Savannah, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability, then design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Savannah, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Clovis, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for various use cases; deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline; introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models; build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Clovis, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Fort Worth, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases; deploy and operate core ML inference workloads for the AI Voices serving pipeline; introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models; build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Fort Worth, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Detroit, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Detroit, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Vallejo, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Vallejo, United States
Maybe global
Remote

Software Engineer, macOS Core Product - Hillsboro, USA

New
Top rated
Speechify
Full-time
Full-time
Posted

Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for a diverse range of use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of deployed models. Build tools to provide visibility into bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.

$140,000 – $200,000
Undisclosed
YEAR

(USD)

Hillsboro, United States
Maybe global
Remote

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Frequently Asked Questions

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[{"question":"What does a AI Systems Engineer do?","answer":"AI Systems Engineers design architectures that enable AI models to interact with various system components. They develop, test, and deploy machine learning models while integrating AI modules with existing software, hardware, and business systems. Their responsibilities include monitoring system performance, maintaining and retraining models, managing data flow, ensuring security, addressing ethical concerns, and collaborating with cross-functional teams including data scientists and stakeholders."},{"question":"What skills are required for AI Systems Engineer?","answer":"AI Systems Engineers need strong programming skills in Python, Java, or R, and proficiency with AI frameworks like TensorFlow and PyTorch. Experience with machine learning, deep learning, NLP, and computer vision is essential. They must understand MLOps, infrastructure management, and cloud computing platforms. Problem-solving abilities, communication skills, and team collaboration are equally important for successfully integrating AI systems across organizations."},{"question":"What qualifications are needed for AI Systems Engineer role?","answer":"Most employers require a degree in Computer Science, Engineering, or a related technical field for AI Systems Engineer positions. Practical experience with machine learning algorithms, AI frameworks, and systems integration is highly valued. While formal education provides a foundation, demonstrated ability in designing AI architectures, implementing ML models, and managing complex systems is often more important than specific credentials."},{"question":"What is the salary range for AI Systems Engineer job?","answer":"The research provided doesn't specify exact salary figures for AI Systems Engineers. Compensation typically reflects the specialized nature of the role, requiring both AI expertise and systems engineering knowledge. Salaries vary based on factors like location, company size, experience level, and specific technical skills. AI jobs generally command premium compensation due to high demand for professionals who can build and integrate intelligent systems."},{"question":"How long does it take to get hired as a AI Systems Engineer?","answer":"The hiring timeline for AI Systems Engineers varies significantly depending on factors not specified in the research. The process typically involves technical assessments to evaluate machine learning knowledge and systems design capabilities. Companies may conduct multiple interview rounds to assess both technical expertise and cross-functional collaboration abilities. The specialized nature of these roles can extend the hiring process as organizations seek candidates with the right combination of AI and systems engineering skills."},{"question":"Are AI Systems Engineer job in demand?","answer":"Yes, AI Systems Engineer jobs are experiencing growing demand as businesses integrate advanced AI technologies into their operations. The rise of generative AI and other innovations is driving need for specialists who can design complete AI-enabled architectures. Organizations increasingly require professionals who can bridge the gap between AI development and systems engineering, managing both the technical implementation and broader infrastructure considerations of artificial intelligence deployments."}]