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Full Time Machine Learning Architect Jobs (NOW HIRING)

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 ...

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 ...

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 · 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 ...

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 ...

Quantiphi, Inc.

OR

$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 ...

ManTech International

Machine Learning Engineer

$128.80K - $214.50K/yr

... Type Full time Description & Requirements Elevate your career with MANTECH International ... Collaborate with cross-functional teams-including data scientists, engineers, and architects-to ...

Quantiphi, Inc.

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 ...

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Full Time Machine Learning Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do full time machine learning architect jobs pay per year?

As of May 31, 2026, the average yearly pay for full time 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 are the key skills and qualifications needed to thrive as a Full Time Machine Learning Architect, and why are they important?

To thrive as a Full Time Machine Learning Architect, you need advanced expertise in machine learning algorithms, data modeling, and software engineering, typically supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, Azure, GCP), and relevant certifications such as AWS Certified Machine Learning are highly valued. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for designing scalable ML solutions that drive business value and align technical teams toward shared objectives.

What are some common challenges faced by Full Time Machine Learning Architects when integrating models into production systems?

Full Time Machine Learning Architects often encounter challenges related to ensuring scalability, reliability, and maintainability when deploying models into production. Integrating machine learning solutions with existing infrastructure requires careful consideration of data pipelines, version control, and real-time monitoring. Additionally, collaborating with cross-functional teams such as data engineers, software developers, and product managers is essential for a smooth deployment process. Addressing issues like model drift, data quality, and system performance is a continuous responsibility in this role.

What does a Full Time Machine Learning Architect do?

A Full Time Machine Learning Architect is responsible for designing and overseeing the implementation of machine learning systems within an organization. They analyze business needs, choose appropriate machine learning frameworks, and create scalable architectures that support data processing and model deployment. Their role also involves collaborating with data scientists, engineers, and stakeholders to ensure that machine learning solutions are robust, efficient, and aligned with strategic goals. Additionally, they often help set best practices for model development, data management, and system integration.

What is the difference between Full Time Machine Learning Architect vs Data Scientist?

AspectFull Time Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; certifications in ML frameworksMaster's or PhD in Data Science, Statistics, or related fields; certifications in data analysis tools
Work EnvironmentDesigning ML systems, overseeing architecture, collaborating with engineering teamsAnalyzing data, building models, interpreting results for business insights
Employer & Industry UsageTech companies, AI-focused firms, large enterprisesFinance, healthcare, marketing, research institutions

The main difference is that a Full Time Machine Learning Architect focuses on designing and implementing scalable ML systems and infrastructure, while a Data Scientist primarily analyzes data and develops models for insights. The Architect role is more technical and system-oriented, whereas the Data Scientist role emphasizes data analysis and interpretation.

More about Full Time Machine Learning Architect jobs
What are the most commonly searched types of Machine Learning Architect jobs? The most popular types of Machine Learning Architect jobs are:
What job categories do people searching Full Time Machine Learning Architect jobs look for? The top searched job categories for Full Time Machine Learning Architect jobs are:
Full Time Machine Learning Architect jobs near you
Infographic showing various Full Time Machine Learning Architect job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 79% Physical, and 21% 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 1 day ago. 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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