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Remote Machine Learning Engineer Jobs in Clearfield, UT

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

Application Security Engineer About the Role Packsize is seeking an experienced Application ... machine software environments, especially challenges like remote device deployment and secure ...

Software Engineer III

Salt Lake City, UT · Remote

$58.75 - $79/hr

Recognized for growth, innovation, and culture, we foster a highly collaborative, remote-first ... Self-driven and detail-oriented with a passion for learning * Team-oriented and willing to help ...

TechOps Engineer - Mid Level About the Role? We're looking for a hands-on Mid-Level TechOps ... Although position is remote employee will be required to visit data center on a quarterly basis. It ...

TechOps Engineer - Mid Level About the Role? We're looking for a hands-on Mid-Level TechOps ... Although position is remote employee will be required to visit data center on a quarterly basis. It ...

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Recommend alternative engineering solutions to management to meet business needs. * Deliver on ...

Work with dispatch systems support to ensure the remote data requirements are incorporated into the ... Recommend alternative engineering solutions to management to meet business needs. * Deliver on ...

Showing results 21-40

Remote Machine Learning Engineer information

See Clearfield, UT salary details

$29.4K

$120K

$180.4K

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

As of Aug 19, 2026, the average yearly pay for remote machine learning engineer in Clearfield, UT is $120,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,500.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What job categories do people searching Remote Machine Learning Engineer jobs in Clearfield, UT look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Clearfield, UT are:

What cities near Clearfield, UT are hiring for Remote Machine Learning Engineer jobs?

Cities near Clearfield, UT with the most Remote Machine Learning Engineer job openings:

Application Security Engineer

Packsize

Salt Lake City, UT • On-site, Remote

$56.75 - $76/hr

Full-time

Re-posted 17 hours ago


Job description

Job Description:

About Packsize,
Packsize is redefining the way businesses and their customers use and
experience packaging around the world. We build the technology, design
the right solutions, and automate the processes that propel the industry
forward. To us, packaging is much more than a box-it's delivering what's
right for our customers, their customers, our people, and the planet.Job Title: Application Security EngineerAbout the Role
Packsize is seeking an experienced Application Security Engineer to champion secure software development across our technology stack. You will collaborate closely with development and product teams to integrate robust security practices into every stage of our SDLC, ensuring that security is a foundational element of our technology solutions and product innovations.What You'll do:
  • Embed with software engineering teams to guide the secure design, development, and deployment of applications, advocating for "security by design."
  • Drive the adoption of automated security tools and processes within the software development lifecycle to detect and remediate vulnerabilities early.
  • Conduct threat modeling, code reviews, and vulnerability assessments for web, cloud, and OT (Operational Technology) applications and services.
  • Lead security initiatives targeting improvements in Packsize's application and machine software environments.
  • Serve as a subject matter expert for application security within cross-functional forums, providing clear guidance on secure coding, secure architecture, and best practices.
  • Collaborate on the creation, maintenance, and communication of security policies and secure SDLC standards, ensuring alignment with industry regulations and compliance mandates.
  • Identify, assess, and prioritize application security risks and work with engineering and business leaders to develop effective remediation strategies.
  • Assess third-party and open-source dependencies for security risks, ensuring that vendor and supply chain security meet Packsize standards.
  • Respond to security incidents involving applications, lead root cause analyses, and drive post-incident improvements.
  • Perform regular security testing, such as SAST, DAST, and penetration testing, to validate the security of applications.
  • Provide expert input on cryptography and key management for applications, ensuring robust protection of data in transit and at rest.
  • Evaluate and recommend new security solutions and tools to continually improve Packsize's application security posture.
What You'll Bring:
  • 10+ years of security-related experience, with at least 5+ years in an application security or software security engineering role.
  • Deep experience working with software development teams to embed security practices into the software development lifecycle and release processes.
  • Technical proficiency in secure coding practices, application vulnerability scanning, and remediation.
  • Experience securing OT (Operational Technology) and machine software environments, especially challenges like remote device deployment and secure firmware/software delivery.
  • In-depth knowledge of cloud security best practices and architecture, especially for SaaS or IoT products.
  • Demonstrated experience delivering and implementing technical security solutions for complex application environments.
  • Strong background conducting security assessments, risk analyses, and security testing for applications.
  • Familiarity with compliance requirements (GDPR, SOX) and security frameworks (SOC2, ISO, NIST) as they relate to application development and deployment.
  • Excellent interpersonal skills; able to influence, educate, and partner with technical and business stakeholders at all levels.
  • Passion for mentoring developers on secure coding and application security best practices.
Working Environment and Physical Demands
  • Able to commute to Packsize Headquarters; hybrid remote work available.
  • Office-based work environment; ability to sit for extended periods and move about the office as needed.
  • Periodic remote work; comfortable with a hybrid office setting.
  • Ability to travel up to 15%, including international travel.
What We Offer
Packsize considers several factors when determining compensation when
extending a job offer, including but not limited to, the role being offered, the
associated responsibilities, the candidate's prior work experience,
education/training, and any special skills.
If this role excites you but you don't meet each requirement listed, we
encourage you to apply anyway. At Packsize, we welcome applicants of all
backgrounds and experiences and understand that the best candidates may
come from the most unlikely of places.
Packsize is an Equal Opportunity employer and is committed to diversity in
its workforce. In compliance with applicable federal and state laws,
Packsize policy of equal employment opportunity prohibits discrimination
on the basis of race or ethnicity, religion, color, national origin, sex, age,
sexual orientation, gender identity/expression, veteran's status, status as a
qualified person with a disability, or genetic information. Individuals from
historically underrepresented groups, such as minorities, women, qualified
persons with disabilities and protected veterans are strongly encouraged to
apply. Reasonable accommodations in the application process will be
provided to qualified individuals with disabilities.
Packsize is an Equal Opportunity employer and is committed to diversity in its workforce. In compliance with applicable federal and state laws, Packsize policy of equal employment opportunity prohibits discrimination on the basis of race or ethnicity, religion, color, national origin, sex, age, sexual orientation, gender identity/expression, veteran's status, status as a qualified person with a disability, or genetic information. Individuals from historically underrepresented groups, such as minorities, women, qualified persons with disabilities, and protected veterans are strongly encouraged to apply. Reasonable accommodations in the application process will be provided to qualified individuals with disabilities.

Packsize logo

About Packsize

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

51 - 200 Employees

Headquarters location

Salt Lake City, UT, US

Year founded

2002