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Embedded Machine Learning Internship Jobs in Maple Grove, MN

Onsights

Senior Machine Learning Engineer

Minneapolis, MN · On-site

$109K - $149K/yr

As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and ... g., embedded systems, microcontrollers) • Prior experience supporting U.S. Department of War ...

Grace Church

Chaska NXT Intern

Chaska, MN · On-site

$20/hr

Read, discuss, and participate in required learning assignments with supervisor. Chaska Worship Internship: * Co-lead the youth worship team with the Worship Pastor by: * Planning worship sets.

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

... machine learning algorithms used in cardiac remote monitoring. This position will work alongside and collaborate closely with engineers with expertise in signal processing, embedded systems, cloud ...

System One

Data Scientist

Minneapolis, MN · On-site

... machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded ...

System One Holdings, LLC

Data Scientist

Minneapolis, MN · On-site

... machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded ...

System One

Data Scientist

Minneapolis, MN · On-site

... machine learning models. In this role, you will bridge the gap between traditional data science and software engineering by writing clean, modular Python code to build robust AI capabilities embedded ...

Accelint

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

The Data Scientist will apply knowledge of statistics, machine learning, programming, and data ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Maple Grove, MN

Embedded Machine Learning Internship information

See Maple Grove, MN salary details

$26.1K

$43.6K

$90.1K

How much do embedded machine learning internship jobs pay per year?

As of Jul 27, 2026, the average yearly pay for embedded machine learning internship in Maple Grove, MN is $43,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,100.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning Internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an Embedded Machine Learning Internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an Embedded Machine Learning Intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.
What job categories do people searching Embedded Machine Learning Internship jobs in Maple Grove, MN look for? The top searched job categories for Embedded Machine Learning Internship jobs in Maple Grove, MN are:
What cities near Maple Grove, MN are hiring for Embedded Machine Learning Internship jobs? Cities near Maple Grove, MN with the most Embedded Machine Learning Internship job openings:
Embedded Machine Learning Internship jobs near you

Senior Machine Learning Engineer

Onsights

Minneapolis, MN • On-site

$109K - $149K/yr

Full-time

Posted 10 days ago

Job description

Job Summary:
Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. As a Senior Machine Learning Engineer, you will design, develop, test, document, deploy, and maintain production machine learning and statistical modeled software to automate processes and streamline customer mission operations.
Responsibilities:
• Operationalize machine learning models by building and maintaining robust, scalable pipelines for training, evaluation, deployment, and lifecycle management across cloud, on-prem, and edge compute environments
• Work closely with autonomy researchers, software engineers, systems teams, and field operators to translate mission requirements into deployable ML capabilities
• Implement automated CI/CD workflows tailored to ML systems, ensuring repeatable experiments, reliable packaging, and continuous delivery of both up to date models and associated data pipelines
• Manage ML runtime infrastructure using containerization and orchestration frameworks (e.g., Docker, Kubernetes) and incorporating model serving platforms (e.g., Seldon, KServe, BentoML)
• Develop monitoring systems to track model health, performance, data drift, system utilization, and mission relevance using tools such as Prometheus, Grafana, and ELK/EFK stacks
• Ensure ML deployments meet defense, customer, and platform security requirements, with emphasis on data integrity, traceability, and operational reliability
• Evaluate and integrate emerging MLOps, distributed training, and edge inference technologies to enhance reproducibility, extensibility, scalability, and deployment speed of ML systems
Qualifications:
Required:
• Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a related technical field (Master's preferred)
• 5+ years of professional experience in software engineering, machine learning engineering, MLOps, or related roles
• Experience operationalizing ML systems at production scale, including model training, versioning, packaging, deployment, and monitoring
• Strong proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
• Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow, Kubeflow, Airflow, DVC, BentoML)
• Experience deploying containerized ML services using Docker and orchestrating workloads using Kubernetes (including air-gapped or constrained deployments)
• Understanding of CI/CD workflows and DevOps practices applied to ML systems (e.g., Git, Code Review, Metrics Evaluation)
• Familiarity with monitoring, observability, and logging platforms (e.g., Prometheus, Grafana, ELK/EFK)
• Ability to obtain and maintain U.S. Government security clearance (U.S. Citizenship required)
• Ability to travel up to 20%
Preferred:
• Experience with deploying models and associated runtimes to Edged Devices
• Experience optimizing models for memory and CPU constrained systems (e.g., embedded systems, microcontrollers)
• Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms
• Experience working with diverse or atypical data sources (e.g., Audio/Acoustics, RF signals, EO/IR imagery)
• Experience deploying and optimizing ML inference on edge or resource-limited compute systems
• Experience with Explainable/Auditable AI/ML tools and interpretable model design
• Experience with AI Software Development Tools (e.g., GitHub CoPilot, Claude)
Company:
Bringing online retail metrics, insights, and visibility you care about into your brick and mortar locations. Founded in 2019, the company is headquartered in Minnetonka, USA, with a team of 11-50 employees. The company is currently Early Stage.

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