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Remote Machine Learning Compiler Engineer Jobs in San Antonio, TX

Talent Sourcer

San Antonio, TX · On-site +1

$72K/yr

Our ALL IN culture includes a focus on Safety, Wellness, Learning, Diversity and Inclusion, and ... remote depending on location * This position operates out of a temperature-controlled office ...

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Remote Machine Learning Compiler Engineer information

See San Antonio, TX salary details

$67.6K

$151K

$184.9K

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

As of Aug 22, 2026, the average yearly pay for remote machine learning compiler engineer in San Antonio, TX is $151,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $184,900.00 per year, depending on experience, location, and employer.

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.

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 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 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 popular job titles related to Remote Machine Learning Compiler Engineer jobs in San Antonio, TX?

For Remote Machine Learning Compiler Engineer jobs in San Antonio, TX, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in San Antonio, TX look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in San Antonio, TX are:

What cities near San Antonio, TX are hiring for Remote Machine Learning Compiler Engineer jobs?

Cities near San Antonio, TX with the most Remote Machine Learning Compiler Engineer job openings:

Talent Sourcer

ADB

San Antonio, TX • On-site, Remote

$72K/yr

Full-time

Posted 29 days ago


ADB Companies rating

6.7

Company rating: 6.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

To be a team member at ADB Companies, or as we call it, part of the A-Team, you must be ALL IN to support the company’s mission, vision, and values.

OUR MISSION: We are a customer-centric partner providing innovative solutions. The safety, well-being, and career growth of our team members are the benchmarks of our success.

POSITION TITLE: Talent Sourcer

CLASSIFICATION: Exempt

POSITION OVERVIEW:

ADB is a Nationwide full turnkey provider of technology infrastructure solutions including Wireline, Wireless, Technology, and Engineering. Our customer centric approach has ensured long term relationships with commercial clients, service providers, local, state, and federal government organizations. We recognize our team members as our greatest asset ensuring that their safety, well-being, and career growth are always our number one priority. Our ALL IN culture includes a focus on Safety, Wellness, Learning, Diversity and Inclusion, and giving back to our Communities.

ADB Companies is seeking a driven and strategic Talent Acquisition Sourcer to support our Recruit team across multiple business lines and geographic markets. This role is critical to building scalable, high-quality talent pipelines—particularly for high-volume and field-based roles—as the organization continues to expand into new regions. The ideal candidate is resourceful, data-driven, and experienced in developing creative sourcing strategies, including outreach to trade schools and alternative talent channels. The ideal candidate will be driven, customer centric, possess a high level of confidentiality and professionalism, be deadline and goal driven with a strong work ethic and ALL IN attitude to achieve results.

ROLES AND RESPONSIBILITIES:

  • Proactively source and engage candidates for high-volume and field-based roles across multiple markets
  • Build and maintain strong pipelines of qualified talent, with an emphasis on skilled trades, technical, and entry-to-mid level positions
  • Utilize a variety of sourcing channels including LinkedIn, job boards, referrals, networking, community outreach, and local market research
  • Partner closely with the Recruit team to understand hiring needs across different functions and regions
  • Support partnerships with trade schools, technical programs, and community organizations to create consistent candidate pipelines
  • Develop and execute sourcing strategies tailored to new and emerging markets
  • Conduct initial candidate outreach, screening, and qualification to assess fit and interest
  • Track candidate activity and pipeline health within the applicant tracking system (ATS) and/or CRM
  • Leverage data and market insights to refine sourcing strategies and improve efficiency and effectiveness
  • Ensure a positive, professional, and engaging candidate experience throughout the sourcing process

SUCCESS FACTORS:

  • Ability to travel Nationwide
  • A strong belief in ZERO- Being Safe 100% of the time is the expectation
  • Alignment with company mission, vision, and values
  • Strong work ethic with an ALL IN attitude
  • A high level of customer centricity
  • Strong team player with the ability to adapt to diverse team members
  • Ability to perform in a fast-paced work environment
  • A high level of time management, accountability, and prioritization skills
  • Self-motivated, goal- oriented, and driven to accomplish department goals
  • Ability to be organized, problem solve, and be solution oriented
  • Strong ability to influence desired outcomes by master relationship building
  • Exceptional verbal and written communication skills
  • High level of professionalism, financial, and business acumen
  • Proficient with Microsoft Office (Power Point, Word, Excel, etc.)
  • Advanced level knowledge of various PMO software/tracking tools required

WORK ENVIRONMENT:

  • This role operates out of ADB's corporate headquarters located in Pacific, MO or one of our offices in Dallas, San Antonio, Atlanta, Houston, Lockport, or remote depending on location
  • This position operates out of a temperature-controlled office environment
  • This position may be required to use standard office equipment such as phones, computers, printers, etc.

EXPERIENCE AND EDUCATION:

  • 2-5+ years of experience in sourcing or recruiting, preferably in a high-volume or field-based environment
  • Strong proficiency with sourcing tools (e.g., LinkedIn Recruiter, job boards, CRM/ATS systems)
  • Previous experience within a construction environment strongly preferred
  • Bachelor’s Degree or equivalent preferred
  • High School Diploma or equivalent required

The starting pay for this position is $72,000.00 and may vary based on the candidate's skills, experience, and qualifications.

ADB Companies, LLC is an equal opportunity employer. All candidates agree to complete a selection assessment and pre-employment drug screen.


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