Brooklyn Park, MN

Engineer Jobs in Brooklyn Park, MN

3 jobs found

Include remote jobs

1mo ago

Automation and Controls Engineer

M4 Control Systems Brooklyn Park, MN

Brooklyn Park, MN

1mo ago Closed

$80k - $120k/yr Full time Electrical Engineering AutoCAD AutoCAD Electrical

This position is no longer accepting applications (closed Jul 25, 2026).

Job Description

M4 Control Systems offers a hybrid Automation and Controls Engineer role in Brooklyn Park, MN with a salary range of $80,000 to $120,000 per year. This position emphasizes collaborative project work, hands-on automation, and a culture built on ethical standards, teamwork, and customer-focused outcomes. The role is open to both full-time and internship candidates who bring a bachelor’s degree in engineering and practical experience with industrial control systems.

Location: Hybrid remote in Brooklyn Park, MN 55428.

Responsibilities

Develop and modify PLC programs to support client projects.
Design and adjust HMI programs to support client projects.
Prepare network or system layouts, detailed drawings, and schematics.
Collaborate with project team members to schedule, execute, and monitor automation control initiatives.
Uphold the company mission, values, ethics, policies, and conduct standards, setting a professional example for teammates.

Requirements

Bachelor’s degree in engineering is required.
Electrical Engineering or related field is preferred.
2 to 5 years of work experience required.
Working knowledge of the engineering, programming, and implementation of industrial control systems.
Strong technical problem-solving abilities with proven project experience.
Understanding of control systems, components, PLC programming, HMI programming and their applications.
Experience with development and design software including Visual Studio, SQL, AutoCAD, and SolidWorks Electrical is preferred.
Proficiency with Microsoft Word and Excel.
Good communication and interpersonal skills with the ability to interact professionally with clients, colleagues, management, and executives.
Ability to read and interpret technical, operating, and process documents; capable of writing technical and business reports and correspondence.
English proficiency in reading, writing, and speaking.
Must pass a criminal background check and drug screening.
U.S. Citizen or Permanent Resident (Green Card) required.

Technologies

Visual Studio
SQL
AutoCAD
SolidWorks Electrical
Microsoft Word
Microsoft Excel

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Life insurance
Paid time off
Vision insurance

Job Types

Full-time
Internship

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1mo ago

Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Target Brooklyn Park, MN

Brooklyn Park, MN

1mo ago Closed

$98k - $176k/yr Full time Marketing Ai Ml Analytics

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

As a Senior Machine Learning Engineer within Target Data Sciences, you will design, implement, and deploy ML solutions to build and optimize audiences for highly personalized offers, collaborating across product, engineering, marketing, and analytics teams.

Responsibilities

Partner with product, engineering, marketing, and analytics to define strategy, lead experiments, and ensure personalization yields measurable impact for guests and the business.
Design, implement, and optimize machine learning solutions in production environments.
Apply best practices in software design, participate in code reviews, and maintain a maintainable, well-tested codebase with relevant documentation.
Lead training sessions and present work to both technical and non-technical audiences, converting business priorities into requirements and scalable solutions.
Be part of a Data Sciences team focused on creating and maintaining audiences for highly personalized guest offers.

Requirements

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
3+ years of experience in end-to-end Machine Learning application development including data pipelining, model optimization, deployment, and API design
Experience deploying Machine Learning algorithms into production environments
Highly proficient programming in Python
Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn and ONNX
Extensive experience with one or more cloud ML service such as GCP Vertex AI, Azure ML or Sagemaker
Experience using distributed training frameworks like Spark, Ray, TensorFlow Distributed
Experience with serving frameworks such as TorchServe/TensorFlow or Serving/FastAPI
Good understanding of Big Data tech, specifically Hadoop ecosystem – Spark, Kafka, Hive, etc.
Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - translate to machine learning solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented - able to meet tight timelines
Motivated, team player with ability to collaborate effectively across global team

Technologies

Python
Pytorch
TensorFlow
xgboost
sklearn
ONNX
GCP Vertex AI
Azure ML
Sagemaker
Spark
Ray
TensorFlow Distributed
TorchServe
TensorFlow Serving
FastAPI
Hadoop
Kafka
Hive
CI/CD pipelines

Benefits

Health benefits (medical, vision, dental, life insurance)
401(k)
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation
Education benefits

About You

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
3+ years of experience in end-to-end Machine Learning application development including data pipelining, model optimization, deployment, and API design
Experience deploying Machine Learning algorithms into production environments
Highly proficient programming in Python
Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn and ONNX
Extensive experience with one or more cloud ML service such as GCP Vertex AI, Azure ML or Sagemaker
Experience using distributed training frameworks like Spark, Ray, TensorFlow Distributed
Experience with serving frameworks such as TorchServe/TensorFlow or Serving/FastAPI
Good understanding of Big Data tech, specifically Hadoop ecosystem – Spark, Kafka, Hive, etc.
Experience creating and maintaining CI/CD pipelines for automated model deployment and testing
Work in partnership with applied data scientists, software engineers and product managers to understand the business requirements - translate to machine learning solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented - able to meet tight timelines
Motivated, team player with ability to collaborate effectively across global team

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1mo ago

Lead Engineer Cyber AI - Cybersecurity

Target Brooklyn Park, MN

Brooklyn Park, MN

1mo ago Closed

$132k - $238k/yr Full time AI Enablement Cybersecurity Tools Information Security

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

Target's Cybersecurity AI Activation and Engineering team is advancing AI-enabled defenses and rapid prototyping for security applications. This hybrid role, based in Brooklyn Park, MN, leads the engineering of AI-powered cybersecurity solutions and PoCs, guiding cross-functional teams to deliver scalable, production-ready systems. The position carries a salary range of USD 132,000 to 238,000 per year and requires a four-year degree or equivalent experience along with at least seven years in software development.

Responsibilities

Serve as the technical anchor for engineering initiatives on the Cybersecurity AI Activation and Engineering team.
Own and ensure developed solutions and proofs of concept meet functional and non-functional requirements.
Deliver with a customer-focused mindset.
Provide complete solutions independently and act as a force multiplier to influence broader teams.
Collaborate closely with cybersecurity teams to understand their applications, systems, and operational processes.
Contribute to new AI-powered capabilities aligned with Target standards.
Evaluate new technologies and offer guidance on viability, maintainability, and total cost of ownership within Target's environment.
Initiate and execute research and PoC activities for emerging technologies.
Work cross-functionally to promote reuse and establish consistent, scalable patterns.
Participate in planning services that have broad impact.
Contribute to foundational capabilities enabling AI or ML activities.
Lead and participate in complex construction, automation, and implementation activities, ensuring architecture and operational requirements are met.
Interface with cyber teams on projects, contributing to requirements, workflows, and designs.
Assess whether projects meet objectives for rapidly developed PoCs solving problems for peer teams.
Provide working patterns, templates, guidance, and influence data standards, policies, and procedures.

Requirements

Proven history of rapid prototyping, development, and iterative delivery with close coordination with internal customers.
Software development skills in Python with delivered production-grade solutions.
Experience with and passion for AI and ML solutions.
Experience with workflow and process automation.
Experience in cyber security domains such as security operations, incident response, threat detection, application security, or penetration testing.
Four-year degree or equivalent experience.
7+ years of software development experience with at least one full lifecycle implementation.
Strong domain knowledge of Target’s technology capabilities and key competitors’ products and differentiating features.
Broad and deep expertise across multiple programming languages and frameworks; designs, develops, and approves end-to-end functionality of a product line, platform, or infrastructure.
Effective communication with project teams, partners, and stakeholders.
Expertise in analysis and optimization of system capacity, performance, and operational health.
Understanding and development of solutions for data lifecycle management.
Maintains deep technical knowledge within areas of expertise.
Keeps current with new technologies via formal training and self-directed learning.
Experience in building highly scalable distributed systems.

Technologies

Python

Benefits

Health benefits (medical, vision, dental, life insurance and more)
401(k) plan
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation

About You

Demonstrated history of rapid prototyping, development and iterative delivery with tight coordination with internal customers.

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Engineer Jobs in Brooklyn Park, MN

Automation and Controls Engineer

Sr Machine Learning Engineer - Marketing and Corporate Systems (ML Ops)

Lead Engineer Cyber AI - Cybersecurity

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