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Machine Learning Jobs in Lakeville, MN (NOW HIRING)

Working at the intersection of business, design, engineering, and machine learning, this person coordinates cross-functional efforts, supports data-informed decision-making, and helps ensure the ...

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Responsible for designing, implementing, and managing data and machine learning solutions on Google Cloud Platform * Key Responsibilities: * Design end-to-end data solutions, including data ingestion ...

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 ...

Define the right AI approach across machine learning and Generative AI initiatives * Establish architecture standards, reusable patterns, and best practices for AI development * Guide integration of ...

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.

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.

Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...

The ideal candidate will possess technical expertise in machine learning and artificial intelligence, with a proven track record of developing scalable AI solutions. The AI Software Engineer supports ...

... Machine Learning. o Strong hands-on coding skills in Python and popular ML/DL libraries. o Proven expertise in deploying machine learning models and AI applications in a cloud environment (Azure ...

Showing results 21-40

Machine Learning information

See Lakeville, MN salary details

$26.4K

$44.1K

$91.1K

How much do machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning in Lakeville, MN is $44,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,700.00 and $47,600.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Is machine learning a high paying job?

Machine learning engineers and specialists are generally among the higher-paid roles in the tech industry due to their advanced skills in algorithms, programming, and data analysis. Salaries vary based on experience, location, and industry, but the field is known for competitive compensation compared to many other tech roles.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What cities near Lakeville, MN are hiring for Machine Learning jobs?

Cities near Lakeville, MN with the most Machine Learning job openings:

Infographic showing various Machine Learning job openings in Lakeville, MN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $44,102 per year, or $21.2 per hour.

Other

Re-posted 17 days ago


Job description

Project Description:
This role helps shape how new customer experiences are introduced and optimized on the homepage. Working at the intersection of business, design, engineering, and machine learning, this person coordinates cross-functional efforts, supports data-informed decision-making, and helps ensure the homepage consistently delivers relevant, high-quality experiences that meet customer and business goals.
Position Summary/Job Description:
We are seeking a collaborative, data-minded professional to join our Homepage Experience team. In this role, you will coordinate cross-functional partners to introduce and refine personalized experiences on the homepage, balancing customer relevance with business priorities. You will work closely with product, engineering, design, and machine learning teams to guide experiences from concept through implementation and measurement, and help optimize how our personalization and machine learning capabilities serve our customers.
Key focus areas:
Coordinate cross-functional teams to bring new homepage experiences to market, from intake through design, implementation, and measurement.
Balance personalized and business-driven content to deliver optimal page performance and outcomes, and clearly communicate the opportunity trade-off of business decisions
Partner with machine learning teams to improve model performance, uncover opportunities, and ensure objectives are met.
Champion measurement standards and quality to support ongoing optimization.
Skills Overview:
1. Identifies high-value opportunities and drives clear prioritization aligned to customer and business goals.
2. Proficiency with collaboration and project-tracking tools (e.g., Atlassian Confluence and Jira)
3. Strong data analysis and reporting skills, with a track record of using data to drive optimization
4. Excellent written and verbal communication, including facilitating cross-functional meetings
5. Experience collaborating across design and engineering to deliver digital experiences (e.g., Figma through implementation)
What are some preferred/nice to have skills the manager is looking for?
Familiarity with machine learning concepts and hands-on experience with AI tools
Understanding of personalization, experimentation, and performance measurement
Experience optimizing digital experiences for distinct customer segments
A strong customer focus and a commitment to quality
Comfort working with modern productivity and AI tools (e.g., GitHub Copilot)