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Remote Deep Learning Engineer Jobs in Utah (NOW HIRING)

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an exceptional Mechanical ... Your role will focus on providing deep technical analysis and oversight throughout the engineering ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of FE Civil examination content covering mathematics, probability and statistics ...

Senior Software Engineer

Provo, UT · On-site +1

$120K - $140K/yr

With a remote or in office work environment and a schedule of Monday through Friday, 8 a.m. to 5 p ... As a Software Engineer on our team, you'll use your deep expertise in SQL, C#, Typescript ...

This position will be remote, in the US * Reports to: Engineering Manager What You Will Own ... Conduct Deep-Dive Bottleneck Analysis and System Tuning: Go beyond surface-level metrics to perform ...

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

Deep experience working with software development teams to embed security practices into the ... Periodic remote work; comfortable with a hybrid office setting. * Ability to travel up to 15 ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... Deep knowledge of structural analysis methods, reinforced concrete design, steel design, timber ...

Principal Site Reliability Engineer

Lehi, UT · On-site +1

$53.50 - $71/hr

Deep proficiency in at least one major cloud provider (AWS, GCP, or Azure) with working knowledge ... Access to LinkedIn Learning and continuous learning resources * Employee referral bonus program and ...

Replit Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of Replit cloud development environment including online IDE features, multi ... Emphasizes accessible development without local setup and connects Replit to learning programming ...

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Remote Deep Learning Engineer information

See Utah salary details

$10K

$76.4K

$127.5K

How much do remote deep learning engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for remote deep learning engineer in Utah is $76,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $126,500.00 per year, depending on experience, location, and employer.

How do Remote Deep Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

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

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

What is a Remote Deep Learning Engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.
What are the most commonly searched types of Deep Learning Engineer jobs in Utah? The most popular types of Deep Learning Engineer jobs in Utah are:
What job categories do people searching Remote Deep Learning Engineer jobs in Utah look for? The top searched job categories for Remote Deep Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Deep Learning Engineer jobs? Cities in Utah with the most Remote Deep Learning Engineer job openings:
Mechanical Engineer

Mechanical Engineer

SAIC

Hill Air Force Base, UT • On-site, Remote

Full-time

Re-posted 16 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 208 rated it services


Job description

Job ID: 2610538

Location: Hill AFB, UT, US

Date Posted: 2026-03-24

Category: Engineering and Sciences

Subcategory: Mechanical Engr

Schedule: Full-Time

Shift: Day Job

Travel: Yes - 10% of the time

Minimum Clearance Required: Secret

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description

SAIC is seeking an exceptional Mechanical Engineer to provide high-quality delivery of infrastructure projects to one of the Department of War’s most complex and vital acquisition efforts – the Sentinel Intercontinental Ballistic Missile (ICBM) Program. This position offers a unique opportunity to contribute to the modernization of the U.S. Air Force’s land-based strategic deterrent, ensuring its operational readiness and sustainability well into the 21st century.

The Sentinel ICBM Program is a massive, multi-faceted initiative to replace the aging LGM-30G Minuteman III weapon system. This career-defining program involves designing and integrating advanced ballistic missile systems, refurbishing or replacing key infrastructure, and fielding state-of-the-art command, control, and support systems. You will work both independently and collaboratively with multidisciplinary teams to achieve program objectives in a high-impact national security environment.

Your Role and Responsibilities

As a Mechanical Engineer, you will serve as a subject matter expert, conducting detailed technical reviews of engineering designs to ensure compliance with standards, engineering principles, and Sentinel-specific requirements. Your role will focus on providing deep technical analysis and oversight throughout the engineering lifecycle of Sentinel infrastructure projects.

  • Provide Technical Oversight: Serve as a key technical authority during all phases of Sentinel infrastructure projects, from design and review through to construction and implementation.
  • Conduct Technical Reviews: Perform rigorous assessments of designs prepared by Architect-Engineer (A/E) firms against engineering principles, industry codes, and Sentinel-specific guidelines.
  • Ensure Design Compliance: Validate that designs and deliverables adhere to all applicable engineering principles, commercial/military standards, and mission requirements for technically complex projects.
  • Analyze and Mitigate Technical Risks: Identify potential engineering risks during the design and implementation process and recommend specific technical mitigation strategies.
  • Collaborate on Technical Solutions: Work within a multidisciplinary team to deliver engineering solutions, presenting complex technical information to diverse stakeholders.

Qualifications

  • Bachelor’s degree in mechanical engineering, Systems Engineering, Physics, or Mathematics with 5+ years (with BS) or 3+ years (with MS) of directly related experience in systems engineering or complex product development.
  • Active U.S. Government Secret Clearance with a background investigation completed within the past six years. Must be eligible for Special Access Program (SAP) clearance.
  • Demonstrated experience applying military and industry standards, such as MIL-STD-810, MIL-STD-882, and Unified Facilities Criteria (UFC), to complex engineering projects.
  • Proven ability to lead technical design reviews and provide critical feedback on engineering deliverables from internal teams and external A/E firms.
  • Experience with formal risk management processes from a technical perspective, including the identification and mitigation of engineering risks.
  • Demonstrated proficiency in developing or utilizing Model-Based Systems Engineering (MBSE) artifacts (e.g., SysML diagrams, behavioral models) to support system analysis, requirements verification, and design trade studies, using tools such as Cameo,
  • MATLAB, or equivalent.

Preferred Education, Experience, & Skills:

  • Hands-on experience as an engineer working on missile systems or complex weapon systems (such as ACAT I programs or ICBM-related initiatives).
  • Professional Licenses and Certifications, such as a Professional Engineer (PE) License or Certified Systems Engineering Professional (CSEP).
  • Experience with requirements management and traceability using tools like DOORS.


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