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Internship 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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How much do internship machine learning architect jobs pay per year?

As of Jun 19, 2026, the average yearly pay for internship machine learning architect in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
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Internship Machine Learning Architect jobs near you

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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