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Machine Learning Architect Jobs (NOW HIRING)

... architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Assists in the development of optimized software to ...

... architecture, and infrastructure decisions to support new and diverse machine learning architectures. • Work with Data and ML Engineers to support transitioning machine learning models from ...

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$66.25 - $80/hr

Technical Architect Machine Learning Engineer - Agentic AI & Multi-Agent Systems Experience Level : 8-12 years Location: US / Canada Job Summary: We are seeking an experienced Senior Machine Learning ...

Technical Architect - Machine Learning

$67.75 - $82/hr

Technical Architect Machine Learning Engineer - Agentic AI & Multi-Agent Systems Experience Level : 8-12 years Location: US / Canada Job Summary: We are seeking an experienced Senior Machine Learning ...

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... The selected engineers will work under the direct guidance of a Staff ML Architect and will focus ...

The Machine Learning Engineer will build and manage production machine learning systems, design ... Make architectural decisions around model choice, evaluation metrics, retraining cadence, and ...

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that ...

$186.90K - $257K/yr

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you'll be the key architect behind complex AI and game system integration, enabling novel ...

CD PROJEKT RED is looking for a Machine Learning & Game Tech Architect to join our R&D AI Team! In this role, you'll be the key architect behind complex AI and game system integration, enabling novel ...

Physical Design Engineer, Machine Learning

San Jose, CA · On-site

$159.40K - $164.10K/yr

As a member of the physical design machine learning architecture team, you will be part of a dynamic team that is building the most efficient application processors on the planet, powering the next ...

Machine Learning Engineer

San Diego, CA · On-site

$122.80K - $184.20K/yr

... architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Assists in the development of optimized software to ...

Staff Machine Learning Engineer Overview: As a Staff Machine Learning Engineer, you will be the ... Architect scalable and reliable AIML solutions that align with the company's tech paved path and ...

Machine Learning Engineer

$128.80K - $214.50K/yr

Collaborate with cross-functional teams-including data scientists, engineers, and architects-to build machine learning models, training tools, and simulation environments that support business ...

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Machine Learning Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do machine learning architect jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 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 are the key skills and qualifications needed to thrive in the Machine Learning Architect position, and why are they important?

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 typical projects or responsibilities might a Machine Learning Architect handle on a daily basis?

A Machine Learning Architect often leads the design and integration of scalable machine learning solutions, working closely with data scientists, engineers, and product managers to translate business problems into technical architectures. Daily tasks may include selecting appropriate ML models, overseeing data pipeline construction, defining system requirements, and ensuring best practices in model deployment and monitoring. They also review code, mentor junior team members, and collaborate across teams to align on project goals and timelines. The role offers a mix of hands-on technical work and strategic planning, providing a dynamic and impactful work environment.
What cities are hiring for Machine Learning Architect jobs? Cities with the most Machine Learning Architect job openings:
What are the most commonly searched types of Machine Learning Architect jobs? The most popular types of Machine Learning Architect jobs are:
What states have the most Machine Learning Architect jobs? States with the most job openings for Machine Learning Architect jobs include:
Infographic showing various Machine Learning Architect job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Qualcomm

San Diego, CA • On-site

Full-time

Posted 23 days ago


Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Machine Learning Engineer, you will develop and implement machine learning techniques and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.
Responsibilities:
• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 1+ year of experience working in a large matrixed organization.
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985