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Executive Full Stack Machine Learning Engineer Jobs in Utah

A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

They are seeking a Senior Software Engineer - Full Stack to contribute to their Aware platform by ... AI, machine learning, and predictive algorithms • Familiarity with statistics and healthcare ...

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Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Utah? The most popular types of Full Stack Machine Learning Engineer jobs in Utah are:
What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Utah? For Executive Full Stack Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Utah look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Utah with the most Executive Full Stack Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Pluralsight, LLC

Draper, UT • On-site

$160K/yr

Other

Medical, PTO

Re-posted 14 days ago


Job description

Job Description:

A Machine Learning Engineer helps our learners discover content that is relevant to their interests and goals, providing them with experiences tailored just to their needs, and ensure they are receiving the right communication and assistance with their journey at the right time. They develop robust, scalable production machine learning algorithms and recommendation systems.

Who you're committed to being:

  • You enjoy learning and are open to new ways of doing things.

  • You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.

  • When communicating you are self-aware, insightful, and proactive.

What you'll do:

  • Work closely with Data Scientists to take prototype algorithms and models and turn them into customer-facing solutions

  • Build solutions to novel problems in software development, data engineering, and machine learning

  • Build data pipelines; transform and convert data streams into structures needed for algorithm input

  • Collaborate with Product Managers and UX Designers to better understand the customer, provide valuable input into functional design and usability

  • Evaluate the efficiency of user experiences and ML algorithms, determining what data is needed and how to collect it, with an understanding of how these metrics are connected with the desired outcomes

Experience you'll bring:

  • Experience building production machine learning systems services as part of a product development team

  • Experience in Python, TensorFlow, and proficiency in data structures and database fundamentals

  • Experience building good code with speed and efficiency and balancing the trade-offs of quality vs speed

  • Ability to explain machine learning solutions to developers and other team members, regardless of their technical background

  • Experience working with continuous integration and delivery

  • Familiarity with cloud platforms and deploying ML models as scalable services

  • Experience with containerization and orchestration tools such as Docker and Kubernetes

  • Knowledge of software design patterns and best practices, including RESTful API design

  • Ideal experience in using machine learning in the context of recommendations and/or personalization.

  • Experience with Node and Typescript preferred

Requirements:

  • Requires a minimum of 5 years of related or equivalent experience; or 3+ years with an advanced degree

  • This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility.

Why you'll love working here:

  • We work in a blended environment that supports collaboration, flexibility, and connection across teams.

  • We are mission-driven, shaping the future of tech upskillling and delivering impact that matters.

  • We foster a culture of inclusion and belonging, where everyone can contribute and thrive.

  • We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose.

  • Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more.

About us:

Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today's tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster.

Physical Requirements:

This role is primarily performed in an office or home office setting and involves standard computer-based work.

EEOC & Accommodations Statement:

Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws.

If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report.

Pay Transparency:

The annual US base salary range for this role is $121,600 - $160,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply.

Applications must be submitted within 90 days after the initial posting date to be considered.

Recruiting Scam Notice:

Please be aware of recruiting scams. We'll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page.

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