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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 ...

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 ...

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 ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine ...

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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 Jul 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 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 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.

More about Machine Learning Architect jobs
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:
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Machine Learning Architect jobs near you
Infographic showing various Machine Learning Architect job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Temporary. Highlights an 76% In-person, 6% Hybrid, and 18% 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

$130K - $160K/yr

Full-time

Re-posted 24 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