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Senior Algorithm Engineer Jobs in Minnesota (NOW HIRING)

... algorithms, and decision-making frameworks. Build secure, scalable AI agents and integrate into ... Work closely with senior engineers and researchers, learning best practices and contributing to ...

Senior Data Engineer

Eden Prairie, MN ยท Remote

$91K - $163K/yr

Programming Languages: Python, PySpark * Cloud Technologies: Azure (ADF, Databricks, Synapse, SQL ... ML models, GPT, NLP algorithms * 5 years of experience designing and implementing ETL frameworks ...

Senior Data Engineer

Eden Prairie, MN ยท On-site

$91K - $163K/yr

Programming Languages: Python, PySpark * Cloud Technologies: Azure (ADF, Databricks, Synapse, SQL ... ML models, GPT, NLP algorithms * 5+ years of experience designing and implementing ETL frameworks ...

* 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 ...

Machine Learning Engineer III

Minneapolis, MN ยท On-site

$129K - $183K/yr

These development efforts will generally be small focused design teams which will require a senior ... Support development of computer vision and machine learning algorithms capable of detection ...

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 ...

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 ...

Sr. DevOps Engineer

Hopkins, MN ยท On-site

$53.50 - $73.25/hr

Job Title: Sr. DevOps Engineer Duration: 6-12 months Location: Onsite - Hopkins, MN Work Type: Rate ... algorithms, and artificial intelligence to provide customized talent management solutions for ...

Impact Shipt is on the lookout for a Senior Engineer in the Search team. Your day-to-day will ... algorithms to directly ship real-world products to customers nationwide. What You'll Need to Be ...

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

HealthPartners is hiring a Data Engineer Senior. POSITION PURPOSE: Our mission is to provide simple ... algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline.

Data Engineer Senior

Bloomington, MN ยท On-site

$51.85 - $77.77/hr

HealthPartners is hiring a Data Engineer Senior. POSITION PURPOSE: Our mission is to provide simple ... algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline.

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

HealthPartners is hiring a Data Engineer Senior. POSITION PURPOSE: Our mission is to provide simple ... algorithms, while assuring accuracy, validity, and reliability of the data across the pipeline.

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Senior Algorithm Engineer information

See Minnesota salary details

$58.3K

$124K

$179.7K

How much do senior algorithm engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for senior algorithm engineer in Minnesota is $123,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $140,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What are the key skills and qualifications needed to thrive as a Senior Algorithm Engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What does a Senior Algorithm Engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.
What are the most commonly searched types of Algorithm Engineer jobs in Minnesota? The most popular types of Algorithm Engineer jobs in Minnesota are:
Infographic showing various Senior Algorithm Engineer job openings in Minnesota as of June 2026, with employment types broken down into 7% Locum Tenens, 11% As Needed, 36% Full Time, 13% Part Time, 31% Contract, and 2% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $123,951 per year, or $59.6 per hour.

AI/ML Engineer

Omni Inclusive

Minneapolis, MN โ€ข On-site

Other

Posted 14 days ago


Job description

Job Title

Proficient in Python and other relevant programming languages.

3 years of hands-on experience with machine learning frameworks and libraries (such as TensorFlow, PyTorch, or similar).

2 years of hands-on experience in developing and deploying AI agents and machine learning models.

Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including expertise in Azure Data and AI platforms (such as Databricks, Fabric, and AI Foundry).

Build and experiment with GenAI models and agentic workflows.

Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks.

Build secure, scalable AI agents and integrate into applications and workflows for robust, cross-platform deployment and enhanced user experience.

Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.

Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.

Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.

Prototype rapidly, iterate on ideas, and contribute to incubation efforts in a startup-style environment.

Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.