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Remote Deep Learning Engineer Jobs in Utah (NOW HIRING)

Senior Application Security Engineer

Draper, UT · Remote

$107K - $146K/yr

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ...

Senior Application Security Engineer

Draper, UT · Remote

$107K - $146K/yr

Interested in learning more about Canopy & the industry? Check out our blog here where you can find ... This position is fully remote in Utah. What You'll Do * Help design and execute a multi-year ...

Instead, you'll combine deep performance engineering expertise with a platform engineering mindset ... This position will be available fully remote in the US * Reports to: Engineering Manager What You ...

Staff Software Engineer

Salt Lake City, UT · On-site +1

$195K - $257K/yr

Deep understanding/experience with: * Architecture, design, and deployment of production-quality ... Excellent communication skills, able to collaborate with remote teams, share ideas and present ...

Take ownership of deep learning about our software, its functions, and how it fulfills our ... Remote work can be conducted at managers discretion and in accordance with company hybrid policy.

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 ...

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 ...

Showing results 21-40

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 Aug 19, 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.

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 key skills and qualifications needed to thrive as a remote deep learning engineer?

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.

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 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 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 are popular job titles related to Remote Deep Learning Engineer jobs in Utah?

For Remote Deep Learning Engineer jobs in Utah, the most frequently searched job titles 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:

Senior Application Security Engineer

Canopy

Draper, UT • Remote

$107K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


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Job description

Senior Application Security Engineer

Canopy, South Jordan, UT

About Us

Canopy is a fast-growing SaaS company in Draper, Utah building simple, powerful software for accounting firms. We're on a mission to help accountants build an autonomous firm - giving them back the time and tools they need to focus on what matters most: their clients.

We believe the accounting industry deserves world-class software, and we're building exactly that. Our Practice Management Suite is purpose-built for firms that want to work smarter, grow faster, and deliver more value to the people they serve. We place a strong emphasis on delighting our customers, spotting and solving problems, and being good people along the way.

Click here to see why our clients (and investors) love Canopy.

Interested in learning more about Canopy & the industry? Check out our blog here where you can find great information on our product features, industry news, practice management, and more!

The Opportunity

As we scale, so does the trust our customers place in us to protect their data. We're hiring a Senior Application Security Engineer to help harden our platform - from how we isolate workloads and control access, to how we secure our network, harden our applications, achieve audit-grade observability, and lock down our software supply chain.

This is a hands-on, high-ownership role. You'll be a primary builder on a broad security roadmap spanning cloud infrastructure, identity, network, application, observability, and the software supply chain - turning it into shipped, operational reality alongside platform, infrastructure, and product engineering teams. We're looking for someone who can go deep on any one of these areas when needed, while staying comfortable moving across all of them, and who has a sharp read on how AI is reshaping both the threats we defend against and the tools we defend with.

This position is fully remote in Utah.

What You'll Do

  • Help design and execute a multi-year application and platform security roadmap spanning cloud infrastructure, identity, network, application, observability, and the software supply chain
  • Harden our AWS and Kubernetes environments - from account/organization structure and IAM to workload identity, network segmentation, and zero-trust access
  • Strengthen authentication and application-layer defenses, including anti-abuse protections, secure headers, and multi-tenant isolation
  • Build out the security observability stack: audit logging, cloud posture monitoring, runtime threat detection, and deception-based detection techniques
  • Embed security into the SDLC - CI/CD gates, secret scanning, threat modeling, and software supply chain integrity (SBOMs, artifact signing, provenance), accounting for the new risks and review needs introduced by AI-generated code and AI-assisted development workflows
  • Evaluate and adopt AI-powered security tooling - from AI-assisted pentesting and code review to anomaly detection - to help our small team punch above its weight
  • Work closely with the security lead to prioritize this work, balancing finite hardening projects against the ongoing operational load of running a security program that scales with the company
  • Serve as a trusted security resource for engineering teams - reviewing designs, unblocking teams on secure implementation patterns, and helping raise security literacy across the org
  • Support customer and compliance conversations where deep technical credibility is needed

What We're Looking For

  • 8+ years of professional experience in application security, security engineering, or a closely related discipline, with a track record of driving substantial security initiatives from design through to production
  • Deep, hands-on expertise across most of the following: cloud account/organization security (AWS preferred), IAM and least-privilege design, Kubernetes and container security, network security and zero-trust access (e.g., Tailscale, mTLS), web application security (WAF, CSP, authentication/anti-abuse), security observability (SIEM/audit logging, CSPM, runtime detection), and secure SDLC/supply chain security (SAST/DAST, secret scanning, SBOM, artifact signing)
  • A working understanding of how AI is currently shaping the security landscape - both offensively (AI-assisted phishing, automated exploitation, LLM-specific attack surfaces) and defensively (AI-assisted detection, code review, and pentesting) - and the judgment to separate real risk and real value from hype
  • Demonstrated ability to go deep on a single domain when the problem demands it, and to reason credibly across all of them when setting priorities
  • Experience threat modeling new features and influencing engineering design decisions before code is written
  • Strong communication skills - able to translate security risk into terms that engineers, product managers, and leadership can act on
  • Comfort operating with significant autonomy in a fast-moving environment, and pulling in the right partners across the org to get things done

Bonus Points 

  • Experience securing multi-tenant SaaS platforms, including tenant-isolation testing or red-teaming
  • Relevant certifications (e.g., OSCP, GWAPT, GCSA, or similar) - nice to have, not required
  • Experience building or operating detection engineering programs (honeytokens, canary credentials, runtime threat detection)
  • Prior experience in a regulated or compliance-heavy environment (SOC 2, ISO 27001, etc.)
  • Hands-on experience securing AI/LLM-powered features or evaluating the security posture of AI coding tools and agentic workflows

We know many women do not apply for a job if they don't perfectly fit the description. We want you to apply anyway.

Why You Want to Work Here

Flexible Paid Time Off - you're actually encouraged to use, plus 10 company holidays! 

Health Benefits - including Medical, Dental, and Vision and an HSA Match. 

401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting.

Mental Health -  all employees have access to Impact Suite & to our Employee Assistance Program (EAP).

Paid New Parent Leave & Birthing Parent Leave - so you're able to care for your little ones.

Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage.

Nectar - our peer-to-peer recognition program to help our employees recognize the amazing work being done by other Canopians!

Company Events - including monthly company-wide meetings, summer parties, and more.

ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more.

Fully-stocked kitchen - Keto? Vegan? Flexitarian? Mandalorian? We've got you covered. 

Our Values

We approach our work every day with a few things in mind:

Own - We own this place! We focus on outcomes, holding ourselves & each other accountable.

Win - We win by delighting our customers with the very best products and services.

Do Good - We work hard to be good people!

Embrace Curiosity & Candor - We approach everything with curiosity & we understand that candor is kindness and give the gift of feedback.

Act Startup Fast - We know the best way to become a world-class company is to always act like a tiny startup: fast, hungry, intense, and scrappy. But especially fast.

To learn more about us & our values, click here.

Interviewing @ Canopy

Application processes can be a little stressful. Here are the stages of a typical interview process at Canopy:

  • Once your application is received, we will review it and get back to you if we feel like it's a mutual fit! 
  • 20-minute phone call with the People Team
  • 45-60-minute video or in-person interview with the Hiring Manager
  • 1-3 rounds of interviews, depending on the role
  • Final Interview

Interview processes can vary depending on the role. The People Team will give you a role-specific overview of the process during your first phone call. 

Remember: This is your interview too! We know candidates are evaluating us just as much as we are them. We encourage you to bring questions to each of your interviews-our hiring teams will always make sure to save time for questions at the end! 

Canopy is an equal-opportunity employer. Canopy provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status, or veteran status.


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