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Senior Embedded Machine Learning Jobs in Minneapolis, MN

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Senior Research Engineer

Eagan, MN · Hybrid

$106K - $146K/yr

We are seeking a Senior Research Engineer who willbringexpertiseinAI and ML ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

Tier One Technologies has an immediate need for a Sr. AI Engineer/Architect to support our US ... Conduct research, testing, and analysis to develop machine learning algorithms and predictive ...

At Integer, our values are embedded in everything we do. Customer We focus on our customers ... Senior Machine Operator is to operate and monitor machines used in the production of the ...

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

Senior Software Architect

Minneapolis, MN · On-site

$140K - $190K/yr

... embedded systems and mobile platforms to desktop applications to cloud infrastructure * Take a ... Have opportunities to learn more about emerging topics in computer vision, machine learning, and ...

Senior Research Engineer

Eagan, MN · On-site

$106K - $146K/yr

As a Senior Research Engineer at Thomson Reuters Labs, you will be part of a global ... Experience integrating Machine Learning and Generative AI solutions into production-grade ...

Senior Data Scientist

Minneapolis, MN · On-site

$120 - $180/hr

Expertise in data science, machine learning, data mining, operations research, and statistical modeling techniques, specifically for high-volume and complex datasets. * Knowledge of best coding ...

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 ...

Showing results 21-40

Senior Embedded Machine Learning information

See Minneapolis, MN salary details

$78.8K

$151.1K

$202K

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

As of Aug 9, 2026, the average yearly pay for senior embedded machine learning in Minneapolis, MN is $151,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,400.00 and $169,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
What are the most commonly searched types of Embedded Machine Learning jobs in Minneapolis, MN? The most popular types of Embedded Machine Learning jobs in Minneapolis, MN are:

Senior Principal Data Scientist - NMPH - Fridley, MN (Onsite) at Medtronic Fridley, MN (Fridley)

Medtronic

Fridley, MN • On-site

$153K - $230K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Medtronic rating

7.9

Company rating: 7.9 out of 10

Based on 177 frontline employees who took The Breakroom Quiz

159th of 537 rated manufacturers


Job description

Senior Principal Data Scientist – NMPH – Fridley, MN (Onsite)

Application window closes on 10 Jan 2026.

At Medtronic you can begin a life‑long career of exploration and innovation, while helping champion healthcare access and equity for all.

A Day in the Life

We are seeking a highly experienced and business‑focused Senior Principal Data Scientist to join our Neuromodulation and Pelvic Health team. In this role, you will transform clinical and real‑world data into strategic insights that influence clinical, regulatory, and market decisions. You will report directly to the Senior Statistics Manager and operate as an embedded expert within our statistics organization, while also partnering closely with NMPH leadership to drive key transformation initiatives.

This is a hands‑on, impact‑oriented role. You will collaborate with cross‑functional leaders to define analytical opportunities, shape data strategies, develop predictive models, and create dashboards and tools that guide clinical and regulatory effectiveness. Success requires deep expertise in statistical analysis, machine learning, and AI, combined with strong business acumen.

Key Responsibilities
  • Develop, explore, clean, transform, and model data to uncover insights, support decisions, and drive competitive advantage.
  • Apply advanced statistical analysis to support accurate forecasting, prediction, and classification.
  • Analyze clinical trial data, registries, and real‑world data sources (claims, EHR, publications) to identify trends, anomalies, and improvement opportunities.
  • Translate complex business questions into structured data science problems and deliver models that shape clinical, regulatory, and market strategies.
  • Build and maintain analytical workflows, dashboards, and predictive models that support operational excellence.
  • Utilize AI and ML techniques to accelerate data discovery and enhance analytical efficiency.
  • Develop predictive models and machine learning algorithms using state‑of‑the‑art methodologies.
  • Integrate repeatable, scalable data science components into enterprise systems and transformation workflows.
  • Maintain analytical systems, validate data integrity, and serve as a liaison to business partners.
  • Create visualizations that make analytical outputs accessible and actionable for non‑technical audiences.
  • Extend internal datasets with external data sources when needed to improve insights.
  • Conduct ad‑hoc analysis and clearly present findings to stakeholders.
  • Work closely with data architects/engineers and IT partners to align on shared project goals.
  • Support cross‑functional teams by identifying data opportunities and building tools that enhance strategy and execution.
Required Qualifications
  • Bachelor’s degree and a minimum of 10 years of experience in Data Analytics.
  • OR Advanced degree and a minimum of 8 years of experience in Data Analytics.
Preferred Qualifications
  • Extensive experience translating data science insights into business strategies.
  • Expert‑level proficiency in Python or R for advanced analytics and modeling.
  • Demonstrated experience integrating AI into daily workflows.
  • Proven success developing and communicating ML models for predictive and prescriptive analytics.
  • Advanced data visualization capabilities.
  • Strong understanding of how ML and inferential statistics complement each other in product development.
  • Excellent problem‑solving, communication, and presentation skills.
  • Experience in medical devices, healthcare, or pharma industries.
  • Familiarity with synthetic data or digital twin technologies.
  • Graduate degree in Data Science or another quantitative field (strong plus).
Physical Job Requirements

The above statements describe the general nature and level of work performed by employees assigned to this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. For office roles: the employee must be independently mobile, interact with a computer, and communicate with peers and co‑workers.

Benefits & Compensation

Medtronic offers a competitive salary and flexible benefits package.

Salary range (USD): $153,600.00 – $230,400.00. The position is eligible for the Medtronic Incentive Plan (MIP).

Benefits for regular employees (20+ hours/week): Health, Dental and Vision Insurance, Health Savings Account, HSA, Life Insurance, Long‑term Disability, Dependent Daycare, Tuition Assistance, Simple Steps. Additional benefits: 401(k) with match, Short‑term Disability, Paid Time Off, Paid Holidays, Employee Stock Purchase Plan, Employee Assistance Program, Non‑qualified Retirement Plan Supplement, Capital Accumulation Plan (for VP+).

Temporary employees receive paid sick time, the Employee Stock Purchase Plan and other applicable benefits.

Equal Employment Opportunity (EEO) Statement

It is the policy of Medtronic to provide equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. Medtronic will provide reasonable accommodations for qualified individuals with disabilities.

Location: Fridley/Rice Creek, MN.

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