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Machine Learning Architect Jobs (NOW HIRING)

Ayo Semiconductor

Machine Learning Architect

Boston, MA · On-site

... architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine learning systems work - and bring that curiosity to bear on how ...

New

MERU

Machine Learning Architect

San Francisco, CA

You will be expected to help with engineering across the stack, including model architecture ... We're looking for people who have demonstrable experience in deep learning research, cloud ...

phData

OR

We are looking for a Machine Learning Architect to join our Machine Learning team. In this role, you will lead the architecture and implementation of production-grade machine learning and data ...

Samprasoft

Define and architect comprehensive model management framework across these 4 major areas * Monitor data quality - monitor drift in data quality. * Monitor model quality - monitor drift in model ...

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 ...

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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 Jun 19, 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 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 does a machine learning architect do?

A machine learning architect designs and develops machine learning systems and infrastructure to solve complex problems. They evaluate data, select appropriate algorithms, and oversee model deployment, often using tools like Python, TensorFlow, or cloud platforms. Strong programming skills and understanding of data architecture are essential for this role.

What is the salary of an ML architect?

The salary of a Machine Learning Architect typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in deep learning, data engineering, and cloud platforms can earn higher compensation, often exceeding $180,000.

Which 5 jobs will survive AI?

Machine Learning Architects are likely to continue to be in demand as they design and oversee AI systems, requiring expertise in algorithms, data modeling, and programming. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and creative designers—are also expected to persist despite AI advancements. These jobs typically require specialized skills, critical thinking, and emotional intelligence that AI cannot easily replicate.

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.

Is ML a high paying job?

Machine Learning Architect roles are generally high-paying due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Salaries often vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.
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Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 83% Full Time, 11% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Machine Learning Architect

Joy and Grace LLC

Redwood City, CA • On-site, Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Machine Learning Architect

As a Machine Learning 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 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 ML Ops principles and tools for continuous model delivery
  • (Nice to Have) - Contributions to open-source projects, research publications, or patents in ML/AI

Working Place: Redwood City, California, United States

Salary package: $ 130,000.00 - 160,000.00 (US Dollar)

Package Details: comprehensive health insurance, dental, vision, and life insurance, along with a 401(k) plan, disability insurance, and paid time off. The company also provides perks such as professional development opportunities, work-from-home options, and an office gym, though employee experiences with work-life balance can vary.

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