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Remote Machine Learning Compiler Engineer Jobs in Cincinnati, OH

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs and GBMs. * Familiarity with AI and machine learning concepts, including supervised and unsupervised ...

Statics Tutor

Cincinnati, OH ยท Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Technical Product Manager

Cincinnati, OH ยท On-site +1

$160K - $185K/yr

... powered by intelligent machines. If you're driven by ambition, success, fun, and learning ... The ideal candidate has experience managing data-driven products, partnering with engineering teams ...

Advise student programming boards and support student-led events. * Promote involvement ... Demonstrated ability to foster student learning, growth, and engagement through co-curricular ...

Showing results 41-60

Remote Machine Learning Compiler Engineer information

See Cincinnati, OH salary details

$72K

$160.7K

$196.7K

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 Cincinnati, OH is $160,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,200.00 and $196,700.00 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 Cincinnati, OH?

For Remote Machine Learning Compiler Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Cincinnati, OH look for?

The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Cincinnati, OH are:

[US] Lead Customer Success Specialist

Benchmark Gensuite

Cincinnati, OH โ€ข Remote

Other

Re-posted 22 hours ago


Job description

Lead Customer Success Specialist
Full Time
Remote - US

*While the job location is listed as Cincinnati, OH, this is a remote position open to candidates across the United States.


Innovate with Benchmark Gensuite as a Lead Customer Success Specialist
Everyone wants to make the world a better place. We work to make it happen. By joining Benchmark Gensuite and exploring careers in the EHS, Sustainability, and ESG Disclosure Reporting space, you’ll be helping customers throughout the business community empower informed decision making, improve employee safety, and lessen their environmental footprint while creating a culture that values diversity, equity, and inclusion. Join us and help make the corporate world better for the planet and better for its employees.
Benchmark Gensuite jobs play a crucial role in helping develop our unified EHS, Sustainability, and ESG digital transformation software solutions that enable cross-functional performance excellence, enhance businesses’ sustainability efforts, and help them achieve their ESG goals. With our incredible global team, the collaborative spirit of our subscribers and partners, and the continuous innovation in exciting new technologies like Artificial Intelligence, Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and evolve your skills to develop fresh ideas and initiatives. 
Benchmark Gensuite Benefits
At Benchmark Gensuite, your hard work is rewarded. We offer annual bonus programs, regular team-building events, and off-cycle reviews to promptly give excellent performers their due. With engaging team activities including happy hours and exciting virtual events, we actively encourage our teams to connect and build a strong, supportive, and fun rapport! Our Benchmark Gensuite Team Member Networks, like the Respect for Diversity Group and the Sustainability Group, offer a safe and supportive space, bringing together team members who share a common identity and empowering them to voice their ideas and initiate action. Explore Benchmark Gensuite job openings and come join us as we combine our collective creativity and passion to meet and exceed the expectations of our customers.
About Benchmark Gensuite… 


Benchmark Gensuite® enables companies to implement robust, cross-functional digital systems for EHS, Sustainability, and ESG Reporting through a unified digital platform—locally, globally and across diverse operating profiles.
With intuitive, best-practice-based process functionality, flexible configurations, and powerful extensions, the Benchmark Gensuite® platform has helped companies worldwide manage their EHS, Sustainability; Quality; Operational Risk and Compliance; Product Stewardship, and Supply Chain Risks for over two decades; and now organically integrated with cutting-edge ESG disclosure reporting and management solutions. Join over 3 million users that trust Benchmark Gensuite® with their software system needs and benefit from rapid deployment and adoption, immediate return on investment (ROI), service excellence, and collaborative innovation.
Responsibilities: 


  • Drive customer satisfaction and growth among a portfolio of our existing customers.
  • Continually grow existing customer relationships by identifying new business or growth opportunities to drive deeper engagement.
  • Design, plan and coordinate program activities to help drive program success and participation.
  • Manage multiple priorities and activities for clients while effectively collaborating with delivery teams to ensure a positive customer experience.
  • Collaborate with the customer and Benchmark's team members to support projects, pilots, renewals, and expansion opportunities.
  • Effectively develop an understanding of Benchmark's SaaS offerings to inform the growth process and product roadmap.
  • Collaborate with customers on-site or host them at the company's local offices for in-person meetings and project discussions.
  • Attend quarterly meetings at the company's headquarters to align with the broader team and participate in strategic planning.
  • Maintain a flexible schedule to accommodate travel and customer meeting requirements.


Skills and Qualifications:


  • Bachelor's degree required.
  • 2-3 years of experience working in a Customer Success, Relationship Management, Account Management, or similar role.
  • Proficiency with Microsoft Office Suite including Excel and PowerPoint required.
  • Ability to be flexible and adaptable.
  • Ability to prioritize, execute projects, and manage time effectively.
  • Empathetic, customer-first attitude.
  • Experience with SaaS required.
  • Strong communication interpersonal skills to effectively interact with customers and colleagues.
  • Willingness to travel and adapt to changing schedules and environments.


Travel Requirements:


  • Travel is sometimes required for this position, which may include visiting customer sites or hosting customers at the company's local offices. Other travel may include attending a Benchmark Gensuite conference or representing the Company at an external event or trade show. Team members may need to assist with setting up the booth or marketing materials for a conference/trade show.
  • If based in the Cincinnati area, the expectation is to come into the local office at least 3 times per month for in-person meetings and collaboration.
  • For remote employees, travel to the company's headquarters may be required once per quarter, with each visit lasting up to a full business week. Some weekend travel may be required, based on necessary travel arrangements to meet business needs.
  • Travel expenses, including transportation, accommodation, and meals, will be reimbursed according to the company's travel policy.
  • The ability to travel and a valid driver's license or access to reliable transportation may be required.


Questions about the position? Please contact our HR Team, at jobs@benchmarkdigital.com.