2

Remote Mechanical Engineering Machine Learning Jobs in Orem, UT

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Linear Algebra Tutor

Provo, UT · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Python Tutor

Provo, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... materials, fluid mechanics, hydraulics, geotechnical engineering, structural analysis ...

Robot System Architect V

Lehi, UT · Remote

$248K/yr

Lehi, Utah or remote or DFW, Type of hire : Contract Role Overview: JOB SUMMARY We are seeking an ... Mechanical Engineering, or a related field. Experience: * 3+ years of experience in system ...

... mechanics of materials, machine dynamics, and advanced engineering coursework. * Conceptual ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... mechanics of materials, machine dynamics, and advanced engineering coursework. * Conceptual ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

SolidWorks Tutor

Provo, UT · Remote

$18 - $40/hr

... mechanical engineering, product design, and manufacturing engineering careers. * Conceptual ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

SolidWorks Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

... mechanical engineering, product design, and manufacturing engineering careers. * Conceptual ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... mechanical engineering, chemical engineering, and advanced physics coursework. * Conceptual ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Thermodynamics Tutor

Provo, UT · Remote

$18 - $40/hr

... mechanical engineering, chemical engineering, and advanced physics coursework. * Conceptual ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Provo, UT · Remote

$18 - $40/hr

... dynamics, mechanics of materials, and engineering design coursework. * Conceptual Teaching ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Showing results 21-40

Remote Mechanical Engineering Machine Learning information

See Orem, UT salary details

$39.6K

$89.4K

$144.8K

How much do remote mechanical engineering machine learning jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote mechanical engineering machine learning in Orem, UT is $89,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,900.00 and $110,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What is a remote mechanical engineering machine learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.

What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Orem, UT?

The most popular types of Mechanical Engineering Machine Learning jobs in Orem, UT are:

What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Orem, UT?

For Remote Mechanical Engineering Machine Learning jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Orem, UT look for?

The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Orem, UT are:

Manager, Software Engineering - AI Assistant

NetDocuments

Lehi, UT • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 hours 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.
About NetDocuments
At NetDocuments, we're shaping the future of legal work. We believe legal professionals should spend less time searching for information and managing documents, and more time solving complex problems, serving clients, and delivering meaningful outcomes. That's why we're building technology that helps organizations work smarter, collaborate more effectively, and unlock the full value of their institutional knowledge.
Our team is redefining what's possible for legal technology. NetDocuments is the trusted intelligent document management platform for legal professionals and the company behind the industry's first and only legal context graph-a breakthrough that gives legal professionals and AI a richer understanding of how matters, documents, people, and knowledge connect across an organization while respecting enterprise-grade security, governance, permissions, and ethical walls.
Innovation is only part of our story. We believe our greatest strength is our people. We foster a collaborative, inclusive, and high-performing culture where curiosity is encouraged, diverse perspectives are valued, and employees are empowered to make a meaningful impact. Whether you're building products, serving customers, or supporting the business, your work helps shape the future of one of the world's most trusted legal technology platforms.
That commitment to our employees and customers has earned us recognition as one of the nation's top workplaces, including:
  • Four consecutive appearances on the Inc. 5000 list of America's Fastest-Growing Private Companies
  • Five-time Top Workplace USA winner
  • Five-time Salt Lake Tribune Top Workplace
  • Multiple Top Workplaces Culture Excellence awards recognizing innovation, employee appreciation, work-life flexibility, and compensation & benefits

If you're excited to solve meaningful challenges, work alongside talented colleagues, and help define the next generation of legal technology, we'd love to meet you.
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.