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Remote Machine Learning Compiler Engineer Jobs in Phoenix, AZ

Research Scientist, Simulation Agents

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Research Scientist, Simulation Agents

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at ...

Research Scientist, Learnable Planner

Phoenix, AZ ยท On-site +1

$158K - $269K/yr

... machine learning, computer vision, and self-driving technologies. - Champion engineering excellence, ensuring high-quality, well structured and tested code. - Submit and publish work externally at ...

Senior Software Engineer

Tempe, AZ ยท Remote

$91K - $163K/yr

If you live near Tempe, AZ, you will enjoy the flexibility of a hybrid-remote role as you take on ... Design, develop, and productionize machine learning and generative AI solutions supporting use ...

Data Scientist

Phoenix, AZ ยท Remote

$65 - $75/hr

Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and ... Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure * Develop ...

Be Seen First

This role is entirely remote; however, candidates must reside in the state of Illinois, Indiana ... machine learning-powered ColossusTMplatform. We serve non-prime consumers and businesses alike ...

Data Science Tutor

Phoenix, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Tempe, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Gilbert, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Chandler, AZ ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

See Phoenix, AZ salary details

$74.5K

$166.3K

$203.5K

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

As of Aug 11, 2026, the average yearly pay for remote machine learning compiler engineer in Phoenix, AZ is $166,251.00, according to ZipRecruiter salary data. Most workers in this role earn between $142,000.00 and $203,500.00 per year, depending on experience, location, and employer.

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 Phoenix, AZ? The most popular types of Machine Learning Compiler Engineer jobs in Phoenix, AZ are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Phoenix, AZ look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Phoenix, AZ are:

Senior Security Engineer (SWOOP)

Iridium Satellite, LLC

Tempe, AZ โ€ข On-site, Remote

$112K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Company Overview

Iridium is an award-winning and innovative satellite communications company with bragging rights to the only network that offers voice and data connectivity anywhere in the world.ย ย  For over 20 years, Iridium's unique network and services have supported critical communications needs for individuals, businesses, and the evolving Internet of Things.

At Iridium, we understand the importance of staying connected and the limitations of traditional communications networks. People across the globe, including first responders, humanitarians, global militaries, scientific researchers, and lone workers, as well as ships, aircraft and remote operations all rely on Iridium to stay connected. We take our responsibility for providing these essential communications very seriously and pride ourselves on offering a reliable lifeline when needed.ย  Likewise, Iridium is committed to providing an exciting and innovative workplace, where employees are challenged to think outside the box and collaborate on new, bold ideas and solutions.ย  Our talented teams are passionate about their work and the impact our company makes around the world.ย  Iridium fosters an empowering and inclusive culture that allows employees to genuinely be their best selves.ย ย  We are looking for others who want to join this truly unique company that celebrates our employees and provides the opportunity to truly make a difference in the world.

What We're Looking For:

Are you an experienced Security Engineer who thrives at the intersection of cybersecurity and AI? If so, we have an amazing opportunity for you! Iridium is seeking a Senior Security Engineer to help the team leverage AI to build and mature our detection, response and other AI enabled security capabilities across Iridium's unique ground network. In this role, you'll design and implement AI-augmented security workflows, develop detection-as-code pipelines, build playbooks and automated response procedures, and integrate large language models (LLMs) and AI agents into our security operations. You'll also be responsible for implementing new security technologies, upgrading and enhancing existing platforms, and helping the team adopt AI-driven approaches to threat detection, investigation, and incident response. This role will operate with a high degree of independence, critical thinking, and a builder's mindset.

What You'll Do:

  • Create roadmaps and design solutions that integrate security into key projects across the business
  • Design, build, and tune detection-as-code pipelines that leverage AI and machine learning to identify threats across endpoints, network, cloud, and identity systems
  • Develop and maintain playbooks and automated response workflows that integrate AI agents for triage, enrichment, and containment
  • Integrate LLMs and AI-driven tooling into security operations to accelerate threat hunting, log analysis, alert correlation, and incident investigation
  • Drive to completion security solution implementations to improve prevention, detection, and response capabilities, while maintaining current knowledge of tools and best practices
  • Enable the security team to adopt AI tools and techniques by building reusable patterns, providing hands-on guidance, and championing practical AI use cases for detection and response
  • Foster teamwork by participating in design meetings, reviews, implementation projects, and coordinating with other departments
  • Identify, develop, and maintain process and procedure documentation
  • Suggest improvements and pursue additional training to maintain skills necessary to execute duties
  • Other duties as assigned

What You'll Need to Succeed:

  • Bachelor's degree in Computer Science or related technical discipline OR equivalent combination of education, technical certifications, or training
  • 8+ years of direct work experience
  • Hands-on experience building or maintaining detection-as-code pipelines, SIEM correlation rules, or SOAR playbooks
  • Familiarity with prompt engineering, AI agents, or integrating LLM-based tools (e.g., coding assistants, security copilots) into security workflows
  • Demonstrated experience using AI/ML tools, LLMs, or automation frameworks to build or improve security detection and response capabilities
  • Experience developing or refining a secure Hybrid-Cloud architecture
  • Proficiency in scripting or programming (Python, PowerShell, or similar) for automation and tooling development
  • Strong knowledge of cloud security services in AWS and Azure
  • Proficiency integrating security-oriented technology platforms
  • Strong communication skills, with the ability to confidently present products, deliverables, analyses, and/or issues
  • Possess a problem solver mindset, with the ability to understand a situation or problem and think critically to make decisions or come up with solutions
  • Be comfortable managing upward, including being a proactive communicator and asking for help when needed
  • Have confidence and be able to establish valuable relationships across departments
  • Must be able to prioritize key tasks and have a strong sense of ownership over your work
  • Be active in seeking out ways to continuously improve yourself and gain new knowledge

ย 

Things That Would be Great if You Brought to the Table:

  • Experience building custom AI agents or workflows for security automation (e.g., using LangChain, Claude, OpenAI APIs, or similar frameworks)
  • Experience with adversary emulation, purple teaming, or MITRE ATT&CK-based detection development
  • Other Cloud Security Engineering and Design experience or certifications
  • Experience in CTF competitions

ย 

We'll also need you to:

  • Be on call (approximately 10% for things such as breaches or need for escalated support)
  • Work a hybrid schedule that includes at least 3 days in office and 2 days from home
  • Be able to travel up to 5%
  • Be able to lift up to 50 pounds
  • US Citizenship required
Work Environment:

This position primarily works in the company office or in a home office. The position is largely sedentary with the majority of the position sitting in a chair and working with a computer. The role uses basic office equipment including a phone, video, computer, keyboard, mouse, and printer.

We believe in-person connection drives innovation, strengthens mentorship, and builds culture, while flexibility enables employees to do their best work. Under Iridium's Hybrid Work Policy, employees are expected to work at least three days per week (approximately 60%) in an Iridium office to support collaboration, relationship-building, and professional growth.

ย 

Additional Information

This job description outlines the general nature and level of work for this role and is not a comprehensive list of duties, responsibilities, or qualifications. Employees may be assigned additional responsibilities as needed.

Base Pay Range: $115,000 - $150,000 USD

Actual compensation will be determined based on a variety of factors and this range represents an estimate of compensation at the time of posting. Base salary is only one part of our compensation package for this role.ย You may also be eligible for company stock and annual bonus. Employee benefits also include medical, dental, and vision insurance coverage; 401(k) retirement plan options; paid time off and paid holidays; paid parental leave; and other discounts and perks.ย ย 

Iridium is an Equal Opportunity Employer, including individuals with disabilities and protected veterans.

Employment Type: FULL_TIME