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Remote Neural Network Engineer Jobs in New Mexico

$22/hr

Actively pursuing a degree in Computer Science, Management Information Systems, Network ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Actively pursuing a degree in Computer Science, Management Information Systems, Network ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Actively pursuing a degree in Computer Science, Management Information Systems, Network ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Actively pursuing a degree in Computer Science, Management Information Systems, Network ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

$22/hr

Actively pursuing a degree in Computer Science, Management Information Systems, Network ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

This remote position is a part-time, on-call role meaning hours will vary and will be dependent on ... network through which you can learn from and brainstorm with the best in the world. AECOM is an ...

Showing results 41-52

Remote Neural Network Engineer information

What is a remote neural network engineer?

A Remote Neural Network Engineer is a specialized software engineer who designs, develops, and maintains neural network models while working from a remote location. They use deep learning frameworks such as TensorFlow or PyTorch to build algorithms that mimic the human brain for tasks like image recognition, natural language processing, and predictive analytics. These engineers collaborate with teams virtually and leverage cloud computing resources to train and deploy models. The role requires strong programming, mathematical, and analytical skills, as well as experience working in distributed team environments.

What are the key skills and qualifications needed to thrive as a remote neural network engineer?

To thrive as a Remote Neural Network Engineer, you need a strong background in computer science, mathematics, and deep learning principles, often supported by a relevant degree and prior experience in AI or machine learning roles. Proficiency in programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms are essential, and certifications in machine learning can be advantageous. Excellent problem-solving skills, self-motivation, and effective remote communication are key soft skills for collaboration and independent work. These skills and qualities ensure the engineer can design, implement, and optimize neural network solutions efficiently while contributing effectively to distributed teams.

How does a remote neural network engineer typically collaborate with cross-functional teams when working from a distance?

As a Remote Neural Network Engineer, collaboration with cross-functional teams—such as data scientists, software engineers, and product managers—is primarily facilitated through virtual communication platforms and project management tools. Regular video meetings, code reviews, and shared documentation are essential to ensure alignment on project goals and progress. Clear communication and proactive sharing of updates are crucial to overcoming the lack of in-person interaction. Additionally, remote engineers often use collaborative coding environments and version control systems to streamline joint development efforts and maintain code quality.

What is the difference between Remote Neural Network Engineer vs Data Scientist?

AspectRemote Neural Network EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; experience with neural networks and deep learning frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentRemote, tech companies, AI research labsRemote or on-site, diverse industries including finance, healthcare, tech
Industry UsagePrimarily in AI, machine learning, and deep learning projectsData analysis, predictive modeling, business insights

While both roles involve working with data and machine learning, a Remote Neural Network Engineer specializes in designing and implementing neural network models, often requiring deep learning expertise. A Data Scientist focuses on analyzing data to extract insights, using a broader set of tools including statistical methods and machine learning. The roles overlap in skills but differ in focus and application.

What are popular job titles related to Remote Neural Network Engineer jobs in New Mexico?

For Remote Neural Network Engineer jobs in New Mexico, the most frequently searched job titles are:

What job categories do people searching Remote Neural Network Engineer jobs in New Mexico look for?

The top searched job categories for Remote Neural Network Engineer jobs in New Mexico are:

What cities in New Mexico are hiring for Remote Neural Network Engineer jobs?

Cities in New Mexico with the most Remote Neural Network Engineer job openings:

Spring 2027 Intern - Technology Services Operations

Workiva

Albuquerque, NM • On-site, Remote

$22/hr

Full-time

Retirement

Posted 3 days ago

New


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

The Technology Services Operations Intern will work on a team that oversees the installation, routine maintenance, upgrades, and daily support of network, server, and storage software. You will assist in the day-to-day operation of Workiva’s systems and constantly look for ways to better meet internal customer needs.

What You'll Do

  • Monitor, maintain, and enhance systems to ensure optimal performance
  • Review system performance consistently, including alerts and notices, and take appropriate action quickly to prevent downtime
  • Install, configure, upgrade, and maintain end-user computing and telecommunication systems
  • Assist the Operations team through various activities, such as facilitating change management meetings, assembling knowledge documents, and helping with operations projects

What You'll Need

Minimum Qualifications

  • Actively pursuing a degree in Computer Science, Management Information Systems, Network Administration, Accounting, or a related field of study

Preferred Qualifications

  • Excellent verbal, written, and interpersonal communication skills
  • Self-motivated with strong propensity for action, results, and continuous improvement
  • The ability to work successfully in a high-energy, fast-paced, rapidly changing environment
  • Exceptional organizational skills with the ability to multi-task and manage multiple processes, programs, and procedures simultaneously while working under pressure to meet deadlines
  • Ability to quickly triage problems, identify root causes, and drive issue resolution
  • Experience with AWS, networks, or servers

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October Offers: Mid to late October

2027 Start Dates:

Our positions have opportunities that start in the Spring. Please see our start dates below and let us know your availability in your application.

Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)

How You’ll Be Rewarded

Salary range in the US: $22.00 - $22.00 401(k) participation and match Paid sick leave A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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