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Manager Remote Machine Learning Engineer Jobs in Utah

... machine learning and data engineering to develop scalable solutions. - Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team - Be a ...

Lead Data Scientist

Draper, UT ยท On-site +1

$138K - $272K/yr

Machine Learning * Python (Programming Language) * R Statistics * Statistical Analysis * Statistics ... Senior Manager and above Direct Reports : 0 Work Environment * Normal office environment. (Remote ...

Remote Operations Engineer

Sandy, UT ยท On-site +1

$66K - $89K/yr

United States - UT - Sandy Remote Operations Engineer Full-Time, Permanent Sandy, UT (In-person ... Professionally managed and family-owned, we proudly serve a wide range of markets, customers, and ...

People Analytics Manager

Salt Lake City, UT ยท On-site +1

$115K - $175K/yr

You will also help shape how the team responsibly adopts AI and machine learning to scale ... Work from home stipend to help you succeed in a remote environment. The annual salary hiring range ...

Data Science Tutor

Logan, UT ยท Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Provo, UT ยท Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Cedar City, UT ยท Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Spanish Fork, UT ยท Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... You have experience managing remote teams * The ability to thrive on a fast pace environment with ...

Reporting to the Senior Manager of Demand Generation, you will design and execute targeted ABM ... plans, learning opportunities, and more. All offers are contingent on successful completion of ...

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Manager Remote Machine Learning Engineer information

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

What is the difference between Manager Remote Machine Learning Engineer vs Data Scientist?

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Utah? The most popular types of Remote Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Manager Remote Machine Learning Engineer jobs? Cities in Utah with the most Manager Remote Machine Learning Engineer job openings:
Manager, Software Engineering - AI Assistant

Manager, Software Engineering - AI Assistant

NetDocuments

Lehi, UT โ€ข On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago


Job description

NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to hrgroup@netdocuments.com so our team members can review.
NetDocuments is the world's #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. We strive to win together through passionate hard work, exploring new things and recognizing every interaction matters.
NetDocuments provides rewarding career growth in an inclusive, diverse environment where employees are encouraged to openly contribute creative ideas and innovation, backed by supportive peers and leadership working together to achieve our goals as a unified team.
At our core, we are dedicated to empowering our employees to drive successful business outcomes and better user experiences for our customers and partners. Our customer-centric approach and employee enablement has allowed us to enjoy many accolades, including being named among the 2022, 2023, & 2024 list of Inc. Magazine's 5000 Fastest-Growing Private Companies in America.
Other recent awards include:
  • Five-time winner (2025, 2024, 2023, 2022, 2021) Top Workplace in the US by the Salt Lake Tribune
  • Four-time winner (2025, 2023, 2022, 2021) Best Companies to Work for by Utah Business magazine
  • Three-time winner (2025, 2023, 2022) Top Workplace Employee Appreciation and Employee Well-Being
  • Three-time winner (2024, 2023, 2022) Top Workplace Work-Life Flexibility
  • Three-time winner (2024, 2023, 2022) Top Workplace Compensation & Benefits
  • Two-time winner (2024, 2023) National Top Workplaces
  • Two-time winner (2024, 2023) Top Workplace Innovation
  • 2025 Remote Work
  • 2024 Technology Industry

NetDocuments is a hybrid, remote-friendly workplace. Come join our team and work inspired each day!
What You'll Do
The NetDocuments AI Assistant, part of ndMAX, is our flagship legal AI product: secure, DMS native AI that keeps a firm's documents inside NetDocuments while helping legal professionals analyze documents, draft and refine content, and take action through natural language, embedded where they already work, in Word, Outlook, and search. A strong security posture and deep integration with the system of record are central to how the product earns trust with legal customers.
We are building the next generation of the Assistant's capabilities: intelligent, agentic AI that can take actions on a user's behalf, specialized agents for common legal tasks, and secure integrations, including support for the Model Context Protocol, that let the Assistant work across the tools legal professionals rely on.
We are seeking an Engineering Manager to lead the AI Assistant engineering team through this next chapter. The work is live. We are shipping to real customers and growing the team, and you will join at a formative moment for the product, when leadership decisions, technical bets, and team building habits compound for years.
This is one of the most strategically important investments NetDocuments is making, and the category is moving fast. The Engineering Manager who leads this team will help shape what the AI Assistant becomes, and grow the leadership skills and experience that pave the way for future opportunities.
A few principles shape this work and the candidates we're looking for in this role:
  • Validate, then scale. We ship to customers early, learn fast, and harden as features prove their value.
  • AI forward. We design around what modern models and agents make possible.
  • Customer feedback drives the roadmap. What we build next is shaped by what customers tell us matters most.
  • Security and trust first. We build AI that respects each firm's permissions and keeps sensitive content protected on the system of record.

In this role, you will:
Lead and develop a high performing team
  • Lead, coach, and develop a team of approximately 5 to 6 software engineers and software test engineers.
  • Foster a culture of trust, collaboration, accountability, and continuous improvement.
  • Partner with recruiting to attract and hire exceptional engineering talent, including engineers with applied AI and machine learning experience.
  • Support career growth through mentorship, feedback, and performance development.
  • Create the conditions for engineers to do their best work, and be the escalation path for blockers the team cannot resolve on its own.

Drive delivery and execution
  • Partner closely with Product, Design, and platform engineering teams to turn customer needs into scalable software solutions.
  • Help build and execute a roadmap that balances customer facing impact, technical excellence, and long term platform durability.
  • Guide your team through planning, execution, and delivery of the Assistant's agentic AI capabilities while holding a high bar for quality.
  • Lead through ambiguity, sequencing the work, derisking it, and adjusting as we learn from real users and as the AI landscape evolves.
  • Communicate capacity, priorities, and delivery risks proactively as a core member of the engineering, product, and design triad.

Collaborate cross functionally
  • Coordinate across multiple engineering teams contributing to a shared product vision. A meaningful portion of this role is unlocking work that crosses team boundaries, including bringing the Assistant to customers across NetDocuments products and surfaces.
  • Communicate priorities, risks, and progress clearly to technical and nontechnical stakeholders.
  • Build the partnerships that drive alignment and execution across the organization.

Provide technical leadership
  • Provide technical guidance and architectural input while empowering engineers to own implementation details.
  • Champion modern engineering practices, including CI/CD, cloud native architectures on AWS, observability, automated testing, and scalable system design.
  • Advocate for highly reliable, maintainable, and secure software, with strong observability and a proactive approach to security.
  • Bring sound judgment to building on large language models and agentic systems, including evaluation, prompt and context design, tool integration, cost and latency management, and safe rollout.

Shape culture and innovation
  • Foster a growth mindset and a culture of continuous learning.
  • Encourage experimentation, thoughtful problem solving, and learning from incidents.
  • Cultivate transparency, ownership, and customer impact across the team.
  • Support knowledge sharing and technical excellence across teams.

What You'll Need to Be Successful
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • 7+ years of software engineering experience.
  • 2+ years leading engineering teams, including both software engineers and software test engineers.
  • Working familiarity with modern AI, including large language models and agentic systems, and sound judgment about applying them in production software. This is table stakes for the role.
  • Experience building and delivering enterprise scale, customer facing software products.
  • Strong understanding of modern software development practices, including cloud platforms, CI/CD, distributed systems, and scalable architectures.
  • Proven ability to lead teams through ambiguity while balancing execution and technical quality.
  • Excellent communication and stakeholder management skills.
  • Demonstrated success building high performing teams and delivering impactful software.

What Will Make You Stand Out
  • A track record of shipping AI native or agentic product surfaces at scale, features built around what large language models and agents make possible, not bolted onto an existing product.
  • Depth in the applied AI stack: LLM application development, retrieval augmented generation, evaluation and observability for AI systems, and managing model cost, latency, and quality tradeoffs.
  • Experience leading teams that build platform scale SaaS products, extensibility platforms, or developer and authoring tooling.
  • Experience in legal technology, professional services SaaS, or other regulated enterprise software where data sensitivity and auditability matter.
  • A track record of mentoring engineers and developing future technical leaders.

What You'll Love About NetDocuments
  • The People!
  • 90% healthcare premiums company covered
  • HSA company contribution
  • 401K match at 4% with immediate vesting
  • Flexible PTO (typically 3 to 4 weeks a year)
  • 10 paid holidays
  • Monthly contributions for life activities & wellness
  • Access to LinkedIn learning with monthly dedicated time to explore

Compensation Transparency
The compensation range for this position is: $180,000 - $200,000
The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations.
Equal Opportunity
NetDocuments is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, individual qualifications, without regard to race, color, religion, sex, (including pregnancy), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity and/or expression, military and veteran status, or any other status protected by laws or regulations in the locations where we operate. NetDocuments believes diversity and inclusion among our employees is critical to our success, and we are committed to providing a work environment free of discrimination and harassment.