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Remote Machine Learning Compiler Engineer Jobs in Utah

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 ...

... copy machines. May require occasional exposure to work environments that may include inclement ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Process Engineer

Salt Lake City, UT · On-site +1

$35 - $65/hr

Technical Development Master basic engineering design guidelines while learning process unit ... Willingness to travel for remote site assignments Preferred Qualifications * Understanding of ...

People Analytics Manager

Salt Lake City, UT · On-site +1

$115K - $175K/yr

You will also help shape how the team responsibly adopts AI and machine learning to scale ... Work from home stipend to help you succeed in a remote environment. The annual salary hiring range ...

This is a remote position available in the state listed on this job. Additionally, employment with ... Prior work on API token systems -- scoped tokens, machine-to-machine auth, token introspection, or ...

$53 - $70.25/hr

Exposure to machine learning pipelines or data engineering workflows. * Prior experience working in startup environments or high-growth technology companies. Benefits * Hybrid working as standard ...

Linear Algebra Tutor

Provo, UT · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Linear Algebra Tutor

Logan, UT · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

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Remote Machine Learning Compiler Engineer information

How does a Remote Machine Learning Compiler Engineer typically collaborate with cross-functional teams to optimize model deployment?

As a Remote Machine Learning Compiler Engineer, you will frequently collaborate with data scientists, hardware engineers, and software developers to ensure that machine learning models are efficiently compiled and deployed on target platforms. Communication often takes place through virtual meetings, code reviews, and shared documentation tools. You'll be responsible for translating research models into optimized code, troubleshooting performance bottlenecks, and integrating feedback from various stakeholders. Effective teamwork is crucial, as the success of deployments often depends on iterative feedback and close alignment with both the ML research and hardware teams.

What is a Remote Machine Learning Compiler Engineer?

A Remote Machine Learning Compiler Engineer is a software engineer who specializes in developing and optimizing compilers specifically for machine learning workloads, while working from a remote location. Their primary responsibilities include designing and implementing compiler features that translate machine learning models into efficient code for various hardware platforms, such as CPUs, GPUs, or specialized accelerators. They collaborate closely with machine learning researchers, hardware engineers, and software developers to ensure high performance and compatibility. In addition to strong programming skills, they typically require expertise in compiler theory, machine learning frameworks, and hardware architectures. This role allows for flexible, location-independent work while contributing to cutting-edge AI technologies.

What is the difference between Remote Machine Learning Compiler Engineer vs Remote Data Scientist?

AspectRemote Machine Learning Compiler EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Software Engineering, or related fields; knowledge of compiler design and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in programming, statistics, and data analysis
Work EnvironmentPrimarily software development, compiler optimization, and ML model deploymentData analysis, model building, and interpretation of results
Industry UsageTech companies, AI startups, hardware firms focusing on ML hardware accelerationTech, finance, healthcare, and research organizations

While both roles involve working with machine learning, the Remote Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Remote Data Scientist concentrates on analyzing data and building predictive models. The roles share some technical skills but differ in their core responsibilities and work environments.

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

To thrive as a Remote Machine Learning Compiler Engineer, you need a strong background in computer science, proficiency in programming languages like C++ and Python, and expertise in compiler theory and machine learning frameworks. Familiarity with ML compilers such as TVM or XLA, and experience using version control and CI/CD systems are commonly required, along with a relevant bachelor's or master's degree. Outstanding problem-solving, collaboration, and communication skills are essential for working effectively in distributed teams and across technical domains. These skills and qualities enable the development of efficient, scalable ML solutions that bridge software and hardware, ensuring high performance and innovation.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in Utah? The most popular types of Machine Learning Compiler Engineer jobs in Utah are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Utah look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Utah are:
What cities in Utah are hiring for Remote Machine Learning Compiler Engineer jobs? Cities in Utah with the most Remote Machine Learning Compiler Engineer job openings:
Application Security Engineer

Application Security Engineer

Packsize

Salt Lake City, UT • On-site, Remote

$56.75 - $76/hr

Full-time

Re-posted 20 days 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