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Remote Master Engineering Management Jobs in Minnesota

VIATechnik

VDC Manager, Electrical

Minneapolis, MN · On-site +1

This is a remote role within the United States. US work authorization is required. About VIATechnik ... A bachelor's or master's degree in engineering or a similar discipline. * 5+ years of experience ...

Konik

Product Manager (Remote)

Minneapolis, MN · Remote

$110K - $140K/yr

Product Manager (Remote)- Emissions Control Systems Remote (US) | Direct Hire | $110,000-$140,000 ... Coordinate with engineering, manufacturing, drafting, project management, and sales teams ...

One Tech

Project Manager

Saint Paul, MN · On-site +1

$161K - $172K/yr

Oversee the RTU (Remote Terminal Unit) program, including prioritization, forecasting, contractor ... Engineering background preferred but not required. PMP (Project Management Professional ...

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Remote Master Engineering Management information

What is the difference between Remote Master Engineering Management vs Remote Software Engineering Manager?

AspectRemote Master Engineering ManagementRemote Software Engineering Manager
CredentialsEngineering degree, leadership certificationsEngineering degree, leadership certifications
Work EnvironmentOversees multiple engineering teams, strategic planningManages software development teams, project delivery
Industry UsageUsed in large tech firms, engineering consultanciesCommon in tech companies, software firms
Search IntentLeadership roles in engineering managementManaging software engineering teams remotely

Remote Master Engineering Management focuses on strategic leadership across multiple engineering disciplines, often involving cross-functional oversight. In contrast, Remote Software Engineering Manager primarily manages software development teams, emphasizing project delivery and technical oversight. Both roles require engineering credentials and leadership skills but differ in scope and industry focus.

What are the key skills and qualifications needed to thrive as a Remote Master Engineering Manager, and why are they important?

To thrive as a Remote Master Engineering Manager, you need deep expertise in engineering principles, project management, and leadership, typically supported by an advanced degree in engineering or management and substantial industry experience. Familiarity with project management tools (like Jira or Asana), version control systems (such as Git), and collaboration platforms (like Slack or Zoom) is essential. Outstanding communication, problem-solving abilities, and the capacity to motivate and manage distributed teams distinguish top performers in this role. These skills ensure successful project delivery, effective team coordination, and high productivity in a remote work environment.

What is a Remote Master Engineering Manager?

A Remote Master Engineering Manager is a senior-level professional responsible for overseeing engineering teams and projects while working remotely. This role involves leading multiple engineering teams, setting technical direction, and ensuring effective collaboration across distributed teams. The position requires strong leadership, technical expertise, and excellent communication skills to manage projects, mentor engineers, and drive innovation from a remote environment. Remote Master Engineering Managers play a key role in aligning engineering goals with organizational objectives while fostering a productive and inclusive virtual work culture.

How does a Remote Master Engineering Manager effectively foster team collaboration across different time zones?

Remote Master Engineering Managers often lead globally distributed teams, which can present challenges in coordinating projects and communication. Successful managers leverage asynchronous communication tools, set clear expectations, and schedule overlapping working hours for critical meetings. They also encourage regular check-ins and utilize project management platforms to ensure transparency and alignment. Building a strong team culture remotely requires intentional efforts to celebrate achievements, provide feedback, and maintain open lines of communication.
What are the most commonly searched types of Master Engineering Management jobs in Minnesota? The most popular types of Master Engineering Management jobs in Minnesota are:
What are popular job titles related to Remote Master Engineering Management jobs in Minnesota? For Remote Master Engineering Management jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Master Engineering Management jobs in Minnesota look for? The top searched job categories for Remote Master Engineering Management jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Master Engineering Management jobs? Cities in Minnesota with the most Remote Master Engineering Management job openings:
Remote Master Engineering Management jobs near you
Sr Manager AI/ML Engineering - Remote Nationwide or Hybrid in MN/DC

Sr Manager AI/ML Engineering - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group

Minnetonka, MN • On-site, Remote

Full-time

Retirement

Posted 11 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

187th of 875 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.
As a Senior Manager, AI/ML Engineering within our UHC Operations and Experience division at Optum Technology, you will lead a highly skilled team of engineers driving next-generation machine learning and artificial intelligence capabilities. Our team's mission is to (Input Required: Insert Team Mission/Vision). In this role, you will lead the architecture, design, and deployment of complex AI/ML software in production environments, using technologies such as natural language processing (NLP), natural language understanding (NLU), and deep learning.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.
Primary Responsibilities:
  • Lead, mentor, and grow a team of high-performing AI/ML Engineers focused on researching, developing, and deploying advanced machine learning models and algorithms in production environments
  • Oversee the design, development, and deployment of complex AI-powered solutions addressing business challenges, ensuring collaboration across research, engineering, and product teams to translate cutting-edge AI advancements into scalable, reusable production-ready capabilities
  • Evaluate emerging AI trends, scientific research, and advanced methodologies to inform team solution design, architectural direction, and strategic innovation
  • Promote the leverage of enterprise-approved AI tools within the team to streamline engineering workflows, automate routine tasks, and drive continuous improvement
  • Direct the development of scalable code and software systems that integrate advanced artificial intelligence capabilities (including NLP, NLU, deep learning, computer vision, and automatic speech recognition)
  • Partner with leadership, product owners, and internal stakeholders to translate complex analytics results, business needs, and cutting-edge research findings into practical, production-ready AI solutions
  • Ensure rigorous experimental methodologies, advanced statistical analysis, probability theory, and optimization techniques are applied systematically across all model developments
  • Oversee ML operations (MLOps) workflows, ensuring seamless model monitoring, validation, version control, and continuous integration/deployment
  • Uphold ethical AI principles by embedding fairness, transparency, and accountability throughout the complete model research and development lifecycle

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • Bachelor's degree or equivalent experience
  • 7+ years of experience in software engineering, with at least 4+ years of specialized experience in AI, machine learning, deep learning, or data science
  • 5+ years of experience coding in Python for tool-building, model training, and data analysis
  • 4+ years of experience implementing machine learning models in production environments using frameworks such as TensorFlow, PyTorch, or Scikit-Learn
  • 3+ years of experience working with large-scale data systems and distributed computing frameworks (e.g., Spark, Hadoop, Kafka, or Databricks)
  • 3+ years of experience building and deploying software solutions within cloud-based platforms, specifically Azure
  • 3+ years of experience applying experimental methodologies, statistics, optimization, and probability theory to solve complex technical problems
  • 3+ years of experience directly leading, mentoring, or managing technical teams of software or AI/ML engineers

Preferred Qualifications:
  • Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative technical field
  • Experience with NLP/NLU (natural language processing/understanding), semantic understanding, intent classification, computer vision, deep learning, and automatic speech recognition (ASR)
  • Experience developing applications with LLM integration using advanced frameworks such as LangChain and LangGraph
  • Experience in the healthcare, clinical data, or operations domains
  • Solid knowledge of MLOps best practices, model tracking (e.g., MLflow, Kubeflow), and cloud-based AI deployment (e.g., AWS, Azure, GCP)
  • Proven excellent communication skills, with a demonstrated ability to explain complex statistical and analytical concepts to non-technical business partners and leadership

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $148,900 - $255,300 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

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