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Machine Learning Architect Jobs (NOW HIRING)

phData

Machine Learning Solutions Architect

$64.50 - $85/hr

In this role, you will lead the architecture and implementation of production-grade machine learning and data solutions that enable customers to realize tangible business value from their data. You ...

Quantiphi, Inc.

Technical Architect - Machine Learning

$67.75 - $82/hr

Architect - Machine Learning Experience Level: 7+ years Employment type: Full Time Location: Remote (USA/Canada) Description: As an Architect - Machine Learning Engineer at Quantiphi, you will be ...

Quantiphi, Inc.

Technical Architect - Machine Learning

OR · Remote

$66.25 - $80/hr

Architect - Machine Learning Experience Level: 7+ years Employment type: Full Time Location: Remote (USA/Canada) Description: As an Architect - Machine Learning Engineer at Quantiphi, you will be ...

Forhyre

Machine Learning Engineer

New York, NY

Understanding of data structures, data modelling and software architecture * Deep knowledge of math ... Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit ...

Virtu Financial

Machine Learning Researcher

New York, NY

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

Virtu Financial

Machine Learning Researcher

New York, NY · On-site

$200K - $300K/yr

As a Machine Learning Researcher at Virtu, you'll pursue high-impact research opportunities within ... learning architecture design to training dynamics and execution strategy. Your innovations will ...

phData

OR

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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA

$147.40K - $272.10K/yr

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team ...

Ontrac Solutions

Machine Learning Engineer

Chicago, IL · On-site

$70 - $90/hr

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 ...

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All JobsMachine Learning Architect Jobs

Machine Learning Architect information

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$46.5K

$128.8K

$201.5K

How much do machine learning architect jobs pay per year?

As of May 30, 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.
More about Machine Learning Architect jobs
What cities are hiring for Machine Learning Architect jobs? Cities with the most Machine Learning Architect job openings:
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Machine Learning Architect jobs near you
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.

Principal Architect - Machine Learning

Texas State Library and Archives Commision

Redwood City, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

As a Principal Architect, you'll be the driving force behind the next generation of our autonomous fulfillment solutions, leading the definition and design of cutting-edge machine learning versions for our core algorithms. You will be instrumental in evolving our product suite, ensuring our systems are more intelligent, adaptive, and efficient than ever before.
Key Responsibilities
• Own the architectural vision for all ML applications within our product suite, translating business needs into robust and scalable ML system designs.
• Define the architecture and design patterns, and build POCs for GreyMatter's ML algorithms.
• Work with the engineering team on design and implementation of ML model pipelines, including data ingestion, training, validation, deployment, and monitoring.
• Collaborate closely with software, robotics, product, and operations teams to align system goals with real-world fulfillment challenges.
• Stay at the forefront of ML research and technology, identifying opportunities to apply new techniques to our products.
Required Qualifications
• Education: M.S/Ph.D in Computer Science, AI/ML, or a related field.
• Experience: 10+ years of total experience in academia or industry.
Technical Expertise
• Deep expertise in machine learning, deep learning
• Hands-on experience in building and deploying production grade ML models
• Experience with the full ML pipeline (data collection, model training, MLOps, deployment)
• Experience with Generative-AI and LLMs
• Experience with cloud platforms and their ML services (e.g. Vertex AI)
• Ability to identify high-impact AI use cases and translate business problems into technical requirements
• Experience building and implementing an AI strategy and roadmap for a team/organization
• Strong understanding of data architecture and big data technologies (e.g., data lakes, streaming pipelines)
• Experience with MLOps principles and tools for continuous model delivery
• (Nice to Have) - Contributions to open-source projects, research publications, or patents in ML/AI.

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