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Remote Mechanical Engineering Machine Learning information

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms for automation, robotics, or predictive maintenance. Gaining skills in programming languages like Python, and understanding of machine learning frameworks, can facilitate their transition into this field.

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.

Can I work remotely as a machine learning engineer?

Yes, many machine learning engineers, including those in mechanical engineering applications, can work remotely. Remote work is common in tech roles that involve programming, data analysis, and model development, often requiring skills in Python, TensorFlow, or similar tools. However, some positions may require on-site collaboration or access to specialized equipment, depending on the company's policies and project needs.

Which 5 jobs will survive AI?

Remote Mechanical Engineering roles that involve complex problem-solving, design, and hands-on work are likely to persist despite AI advancements. Jobs requiring creativity, critical thinking, and specialized expertise—such as research engineers, systems designers, and technical consultants—are less susceptible to automation. Continuous learning and proficiency with engineering tools and software can also enhance job security in this field.

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 engineers make $500,000?

Senior mechanical engineers with extensive experience, specialized skills in areas like automation or aerospace, and advanced certifications can reach or exceed a $500,000 annual salary, especially in high-demand industries or leadership roles. Achieving this level often requires years of expertise, advanced degrees, and working in high-paying sectors or companies.
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Utah? The most popular types of Mechanical Engineering Machine Learning jobs in Utah are:
What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Utah? For Remote Mechanical Engineering Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Utah look for? The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Utah are:
What cities in Utah are hiring for Remote Mechanical Engineering Machine Learning jobs? Cities in Utah with the most Remote Mechanical Engineering Machine Learning job openings:
Remote Mechanical Engineering Machine Learning jobs near you
Senior & Lead Transmission Line Engineers

Senior & Lead Transmission Line Engineers

Leidos

Salt Lake City, UT • On-site, Remote

$73K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago

Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

56th of 428 rated business services

Job description

Description

We are seeking Senior & Lead Transmission Line Engineers (multiple positions) who will work as members of a dynamic team working in a fast-paced environment, solving challenging problems involved with electric transmission.

The successful candidates will serve as Engineers on electric transmission line design projects for high-voltage (HV) and extra high-voltage (EHV) overhead and underground systems for some of the largest utilities in the country.

They will apply NESC, ASCE, ACI and other applicable standards in the engineering and design of electrical overhead and underground systems, voltage conversion projects, new capacity projects, and infrastructure replacement projects. Additionally, they will perform engineering analyses, prepare bidding documents, draft plans and specifications, and prepare material procurement and construction documents. This will involve working with a multi-person Leidos team and interfacing with clients, project planning, environmental, permitting, and construction management personnel.

Work Location & Compensation:

  • Work Location: 100% REMOTE (must reside within the U.S. Preference given to candidates willing to work hours aligned with the Mountain Time Zone (MT) to best support project teams/clients.)
  • Compensation: This posting is for multiple opportunities ranging in years of experience. Level of opportunity, including compensation, will be matched to a candidate’s experience, qualifications, and demonstrated expertise.

Minimum Knowledge, Skills, and Abilities (KSAs):

  • Mid - Senior Level: Bachelor’s degree in civil or mechanical engineering with a minimum of four (4) + years of relevant experience in the design of electric utility transmission systems.
  • Lead Level: Bachelor’s degree in civil or mechanical engineering with a minimum of eight (8) + years of relevant experience in the design of electric utility transmission systems This experience must include a minimum of two (2) + years of demonstrated leadership, mentorship, or supervisory experience over project teams and/or junior staff.

Both Levels Will Require:

  • Experience in reviewing full transmission line designs including PLS-CADD models, foundations, material, plan and profiles, and construction packages
  • Knowledge of NESC, ACI, AISC, and ASCE code requirements; construction specifications; material procurement process; project schedules; and construction work packages.
  • Develop project scopes, budgets, and proposals
  • Ability to work effectively in team environment but also able to work independently
  • Proven ability to communicate with clients and project teams
  • Work in client office is a possibility and/or periodic travel may be required (up to 10-15%)
  • Program Expertise:
    • Expert-level proficiency in PLS-CADD and experience with POLE.
    • Experience with foundation analysis software such as LPILE or FAD Tools.
    • Microsoft Office (Word, Excel, PowerPoint)

Preferred Experience:

  • Professional Engineer (PE) License or Engineer-in-Training (EIT) certification.
  • Experience with GO95 standards (if working in applicable regions).
  • Experience with Construction Management and Support.
  • Program Experience:
    • PLS TOWER
    • Bentley MicroStation
    • Bentley ProjectWise
    • Mathcad
    • Autodesk AutoCAD

Why Leidos:

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers’ success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

We value and support the well-being and mobility of our employees with competitive benefit packages, complementary e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse, inclusive, and ethical workplace. Our recognition as an industry leader is confirmed by the latest national rankings by Engineering News-

Record (ENR) ranking Leidos within the Top 10 T&D Firms, and Top 10 Power Firms.

If this sounds like the kind of environment where you can thrive, share your resume with us today!

PDSTLINE

PowerDelivery

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:April 30, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $73,450.00 - $132,775.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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