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Senior Embedded Machine Learning Jobs in Minneapolis, MN

... machine learning to address cyber-specific challenges. Cyber Detect & Respond practitioners work with clients to modernize large-scale cyber data and analytics programs, support embedded and as-a ...

Senior Firmware Engineer

Eagan, MN ยท On-site

$121K - $161K/yr

DishIQ - embedded firmware development for dishwashers that are built by Ecolab and leased out to ... Sensors in the machine detect water current levels, temperature, etc. Will be developing new ...

Experience mentoring senior engineers and leading enterprise-scale modernization initiatives * Expertise designing Kubernetes-based platforms supporting AI and machine learning workloads * Strong ...

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 ...

... 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 ...

Showing results 41-60

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 Data Scientist III

LexisNexis Risk Solutions

Minneapolis, MN โ€ข On-site

$115.40 - $192.30/hr

Other

Re-posted 8 days ago


Job description

## Senior Data Scientist IIIApplylocations: Minneapolis, MN: Florida: Texas: Minnesota: Georgiatime type: Full timeposted on: Posted Todayjob requisition id: R110286**LexisNexis Risk Solutions**We develop industry-leading solutions that are pro-people, anti-fraud and abuse, and anti-crime to enable frictionless digital government. LexisNexis Risk Solutions cares about our world, and we would love for you to join our team if you want to help solve meaningful problems toohttps://risk.lexisnexis.com**About the Role:**Opportunity for a curious and motivated data scientist to make an impact on our fast-paced and cross-functional team of data scientists, product managers, strategists, and engineers. You would apply machine learning and AI technologies to execute analytical and statistical projects supporting all levels of government in civilian services, public health, and public safety. To successfully fulfill this position, you must be eager to learn with experience in data wrangling, data mining, statistical methods, modeling, machine learning, prompt engineering and generative AI techniques. You will support product development, research, and prototyping assignments. If you are a curious and collaborative data scientist who thrives in an innovative environment, then we would like to hear from you.**Responsibilities:*** Must be a US Citizen or Greencard holder* Independently scope, execute and lead small scale projects. Independently execute for more complex projects.* Support the entire analytical development lifecycle from design & construction to implementation and validation for products including statistical or machine learning models, AI features and statistical measurements.* Extract, clean and design large and complex datasets to support analysis and product deliveries. Apply statistical techniques to conduct analytic research, build statistical models and complete prototypes.* Assist in creation of crime data vectorization, similarity measures, and clustering.* Assist in architecting generative AI features and conduct prompt engineering for customer facing AI tools.* Assist in communicating analytic conclusions to both analytic and non-analytic stakeholders.* Collaborate with cross-functional teams including fraud and crime analysts, product management, project management and technologists to execute projects.**Required Qualifications:**Undergraduate degree in Data Science, Mathematics, Statistics or related field and 10+ years of relevant work experience. Or a Masterโ€™s Degree in related field and 5+ years of relevant work experience.**Skills and Competencies:*** This person needs to be inside the US boundaries to work on the projects based on necessary compliance.* Proficient user of Python, SQL, Pandas, and NumPy.* Competent user of Java.* Demonstrates proficiencies in Data Science and Machine Learning frameworks. Experience with Generative AI, OpenAI, Copilot, and Claude.* Skilled in processing and manipulating large data sets including merging, slicing, sorting, constructing new features.* Strong documentation, written and verbal communication skills.* Strong interpersonal skills to be able to interface effectively with a broad range of contacts; from technical staff to management.* Organized with the ability to handle multiple concurrent activities.* Self-starter and eager to learn.* Demonstrates leadership within small teams.* Detail oriented and critical thinker with strong analytical thinking skills.U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.**We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click** **here** **to access benefits specific to your location.**We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.**Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams** **here****.**Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. #J-18808-Ljbffr