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Remote Machine Learning Compiler Engineer Jobs in College Station, TX

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Remote Machine Learning Compiler Engineer information

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$62K

$138.5K

$169.5K

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

As of Aug 7, 2026, the average yearly pay for remote machine learning compiler engineer in College Station, TX is $138,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $169,500.00 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 popular job titles related to Remote Machine Learning Compiler Engineer jobs in College Station, TX? For Remote Machine Learning Compiler Engineer jobs in College Station, TX, the most frequently searched job titles are:
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What cities near College Station, TX are hiring for Remote Machine Learning Compiler Engineer jobs? Cities near College Station, TX with the most Remote Machine Learning Compiler Engineer job openings:

Digital Marketing Intern | Rambler Northgate

LV Collective

College Station, TX • On-site, Remote

$15/hr

Part-time

Re-posted 3 days ago


Job description

Are you a socially savvy student at Texas A&M University looking for an internship to hone your marketing skills and build your portfolio? Do you have a passion for storytelling and a knack for knowing the latest trends?
LV Collective, an Austin-based student-housing and multifamily developer, is seeking a smart, creative and digitally savvy property marketing intern to join our team for the fall. This position will support the leasing and marketing efforts for our new student housing development, Rambler Northgate, located near Texas A&M University in College Station, TX.
This internship will help prepare you for a position in marketing and communications by offering hands-on experience with inbound and content marketing strategies, content calendar creation, CRM and marketing automation software, social media campaigns, and more.
Essentially, the perfect fit for this job would be as follows:
  • You are a fun, and outgoing individual with a drive to learn
  • You believe in the power of storytelling
  • You love grammar and answering people's comma questions
  • You're a self-starter who loves taking initiative.
  • You're socially savvy; fluent in Instagram and TikTok.
  • You have a serious case of GSD (Get Stuff Done)

Still interested? Read more about specific job responsibilities below.
Requirements
Job Responsibilities
  • Lead the ongoing creation of fresh content for the property learning center and website to attract site visitors through search, social, and our email subscribers
  • Write and edit articles about the Texas A&M University lifestyle, off-campus living, etc.
  • Appear on camera answering your peers' top questions about student living near Texas A&M University
  • Produce monthly email newsletters, including copywriting, design, and distribution
  • Assist with website updates, especially blog posts and landing pages
  • Write, edit, and assist with designing resources for the Learning Center, including eBooks, fact sheets, and more
  • Assist in planning, organizing, and creative directing photo and video shoots for use on the property's social media accounts and marketing materials
  • Work with the marketing and leasing team to identify, recruit, and select brand ambassadors for the project
  • Assist with other duties and special projects as assigned
Qualifications
  • Currently attending Texas A&M University, in pursuit of a Bachelor's degree, preferably in Marketing, Communications, Journalism, Public Relations, or related fields of study
  • Must reside in College Station, TX
  • Experience running social media, email campaigns, and/or managing a website for a student organization, business, or nonprofit is preferable but not required
  • Strong grasp of social media platforms including Instagram and TikTok
  • Access to a reliable computer and WiFi, with Microsoft Office; a Canva Pro and/or Adobe Creative Suite license will be provided
Business Skills
  • Strong writing and editing skills
  • Web savvy, skilled internet researcher
  • Prioritizes work and asks for direction when overwhelmed or uncertain
  • Excellent organizational/time management skills
  • Proficiency in Microsoft Word, Excel, PowerPoint and Adobe Acrobat
  • Fluent in the English language, its rules and proper usage; experience with AP style preferred
  • Excellent oral and written business communication skills
"These are a Plus" Skills (But Not Required)
  • Experience working in WordPress
  • Experience with HubSpot, Asana and Google Docs/Sheets/Slides
  • Experience working with Adobe CC Libraries or Canva
  • Experience working in Later, Hootsuite or other social media scheduling tools
  • Photography and photo editing skills
Team & Work Schedule
  • Work schedule to be determined upon hire. Schedule is flexible, but hours should be consistent.
  • Minimum 15 hours per week required.
  • This is a remote position, in that you will have the flexibility to work from home (or a coffee shop, or the library, etc.) and that you will report to the corporate office located in Austin, Texas. However, it is crucial that you be located on-site at Texas A&M University in order to perform the duties required of this position. You will occasionally be required to attend events, photo and video shoots, and in-person meetings on or near campus or at the property leasing office, and you will collaborate with other members of the marketing and leasing team both in person and virtually.

Benefits
This paid internship will run from August 2026 to December 2026 with the possibility to continue into the spring. The internship will be approximately 15 - 25 hours per week. Pay is $15 per hour.
LV Collective is an equal-opportunity employer. In accordance with anti-discrimination law, it is the purpose of this policy to effectuate these principles and mandates. LV Collective prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. LV Collective conforms to the spirit as well as to the letter of all applicable laws and regulations.