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Machine Learning Manager Jobs in Orem, UT (NOW HIRING)

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

... our AI and machine learning capabilities. You will ensure our compute, storage, and cloud ... Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability ...

Lead Data Scientist

Draper, UT · On-site +1

$138K - $272K/yr

Advanced machine learning modeling and/or technical expertise in developing market differentiation ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

New

Lab Techs are a critical part of our day-to-day operation in our lab and assist engineering & product management with laboratory support to develop world-class machine-learning products for medical ...

New

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Manage and delegate the creation of PPC and display campaigns across Amazon, Walmart, Google ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Manage and delegate the creation of PPC and display campaigns across Amazon, Walmart, Google ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Manage and delegate the creation of PPC and display campaigns across Amazon, Walmart, Google ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Manage and delegate the creation of PPC and display campaigns across Amazon, Walmart, Google ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Manage and delegate the creation of PPC and display campaigns across Amazon, Walmart, Google ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... Manage and delegate the creation of PPC and display campaigns across Amazon, Walmart, Google ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This role focuses on managing campaign budgets, sourcing and engaging creators through data-driven ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This role focuses on managing campaign budgets, sourcing and engaging creators through data-driven ...

Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern ... This role focuses on managing campaign budgets, sourcing and engaging creators through data-driven ...

Experience with predictive modeling, machine learning, and data visualization * Proficiency in Python, SQL, R, or similar statistical programming languages * Strong analytical, project management ...

New

Sr. Data Scientist

Provo, UT · On-site

$118K - $154K/yr

Experience with predictive modeling, machine learning, and data visualization * Proficiency in Python, SQL, R, or similar statistical programming languages * Strong analytical, project management ...

New

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Machine Learning Manager information

See Orem, UT salary details

$44.3K

$71K

$102.6K

How much do machine learning manager jobs pay per year?

As of Jul 21, 2026, the average yearly pay for machine learning manager in Orem, UT is $71,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $80,400.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Orem, UT? The most popular types of Machine Learning jobs in Orem, UT are:
What are popular job titles related to Machine Learning Manager jobs in Orem, UT? For Machine Learning Manager jobs in Orem, UT, the most frequently searched job titles are:
What cities near Orem, UT are hiring for Machine Learning Manager jobs? Cities near Orem, UT with the most Machine Learning Manager job openings:
AI Infrastructure Engineer IV

$100K - $132K/yr

Full-time

Re-posted 14 days ago


Job description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets.

As an AI Infrastructure Engineer IV, you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our compute, storage, and cloud environments are scalable, efficient, and tuned for high-performance AI workloads. Working closely with data scientists, robotics engineers, and software teams, you'll develop robust infrastructure that supports the deployment and reliability of our AI-driven autonomous systems.

Responsibilities:

  • Design, build, and maintain high-performance computing infrastructure including CPUs, GPUs, storage, and networking to support AI and ML workloads.

  • Deploy and manage AI systems within cloud environments (AWS, Azure, GCP), ensuring scalability, cost-efficiency, and high availability.

  • Collaborate with data scientists, ML engineers, and software teams to support AI model development, training, and deployment workflows.

  • Implement automation, CI/CD, DevOps, and MLOps practices to create efficient, repeatable, and reliable AI infrastructure processes.

  • Optimize compute and storage systems to achieve maximum performance and throughput for AI/ML pipelines.

  • Monitor system health and troubleshoot performance bottlenecks, infrastructure issues, and deployment challenges.

Required Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.

  • 8+ years of experience in cloud infrastructure, DevOps, or platform engineering with 3+ years working on AI/ML systems.

  • Strong understanding of modern AI infrastructure components, including distributed computing, GPU-accelerated systems, and large-scale storage.

  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.

  • Proficiency with Kubernetes, Docker, Terraform, or similar containerization and orchestration tools.

  • Strong programming skills in Python and/or C++, with experience supporting machine learning frameworks (TensorFlow, PyTorch, etc.).

  • Experience implementing CI/CD pipelines, MLOps practices, and automation tooling.

At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.