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Senior Machine Learning Scientist Jobs in Eden Prairie, 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 ... Required : • Bachelor's degree in Computer Science, Electrical Engineering, Data Science, or a ...

DailyPay

Senior Machine Learning Engineer

Minneapolis, MN · Remote

$170K - $190K/yr

We are seeking a Senior Machine Learning Engineer to join our AI & ML team in New York City. You ... You will work closely with data scientists, engineers, and product stakeholders to deliver high ...

Varsity Tutors

Machine Learning Tutor

Edina, MN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Saint Paul, MN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Minneapolis, MN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

About the Role We are seeking an experienced Senior Data Scientist to join a collaborative, fast ... Evaluate and recommend appropriate machine learning algorithms and modeling techniques * Monitor ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or ... Machine learning experience using visual data * Understanding of a variety of machine learning ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and ... Strong foundation in machine learning, statistical thinking, and/or analytical problem-solving

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All JobsMachine Learning Scientist JobsSenior Machine Learning Scientist JobsSenior Machine Learning Scientist Jobs in Eden Prairie, MN

Senior Machine Learning Scientist information

See Eden Prairie, MN salary details

$67.8K

$112.7K

$167.7K

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

As of Sep 5, 2026, the average yearly pay for senior machine learning scientist in Eden Prairie, MN is $112,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,300.00 and $127,500.00 per year, depending on experience, location, and employer.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

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

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.

What is the difference between Senior Machine Learning Scientist vs Data Scientist?

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

Is a senior machine learning scientist a high paying job?

A senior machine learning scientist typically earns a high salary due to advanced skills in data analysis, programming, and model development, often exceeding average tech industry wages. Compensation varies by industry, location, and experience, but it generally reflects the specialized expertise required for the role.

What job categories do people searching Senior Machine Learning Scientist jobs in Eden Prairie, MN look for?

The top searched job categories for Senior Machine Learning Scientist jobs in Eden Prairie, MN are:

What cities near Eden Prairie, MN are hiring for Senior Machine Learning Scientist jobs?

Cities near Eden Prairie, MN with the most Senior Machine Learning Scientist job openings:

Senior Machine Learning Scientist jobs near you

Senior Machine Learning Engineer

Onsights

Minneapolis, MN • On-site

$109K - $149K/yr

Full-time

Re-posted 21 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:
Online analytics for the physical world. Built on the tech you already own. Stop buying tools and start driving measurable progress. 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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