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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 ...

Ayosemi

Machine Learning Architect

Boston, MA · On-site

$120 - $160/hr

... 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 ...

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Coca-Cola

Machine Learning Architect II

Atlanta, GA · On-site

Utilize Azure Machine Learning and Microsoft Fabric Data Science to manage the ML lifecycle. Adapt prior experience from other cloud platforms to effectively navigate and optimize our current stack.

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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 Aug 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 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 skills and qualifications are needed to be a machine learning architect?

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 is the salary of a machine learning 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 or those with specialized skills in deep learning, cloud platforms, or specific tools may earn higher compensation, often exceeding $180,000 per year.
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Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person 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

$130K - $160K/yr

Full-time

Re-posted 14 days ago

Job description

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