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Remote Machine Learning Compiler Engineer Jobs in Buffalo, NY

Measurabl

Solutions Engineer, NA

Boston, NY · On-site +1

$110K - $140K/yr

  • Medical

  • Dental

  • Retirement

We understand though that knowledge comes from many forms of learning and experiences. Above all ... Matching 401k * 100% fully remote * Monthly phone & internet reimbursement * Stock options

Munich Re

Principal Data Scientist

Buffalo, NY · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

New

Varsity Tutors

Statics Tutor

Buffalo, NY · 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 ...

Varsity Tutors

Statics and Dynamics Tutor

Buffalo, NY · Remote

$18 - $40/hr

... 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 ...

Harris

Quality Assurance Analyst

Alabama, NY · On-site +1

$55K - $65K/yr

Ability to work effectively with developers, support staff, product stakeholders, and other cross ... Ability to manage priorities, meet deadlines, and work independently in a remote team environment.

CannonDesign

Legal Counsel II

Buffalo, NY · On-site +1

$104K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... continuous learning. * Innovation and Transformation: Champion legal innovation by implementing ... Preferred experience in the architectural, engineering, or construction industry. * Experience in ...

Motorola

Software Application Specialist

Alabama, NY · Remote

$81K - $105K/yr

  • Medical

  • Dental

  • Retirement

This is a remote position with approximately 50% travel. Qualified candidates can reside anywhere ... Design, develop, and deliver training curriculum, learning aids, and other instructional materials ...

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All JobsMachine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Buffalo, NY

Remote Machine Learning Compiler Engineer information

See Buffalo, NY salary details

$72.7K

$162.2K

$198.6K

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

As of Aug 17, 2026, the average yearly pay for remote machine learning compiler engineer in Buffalo, NY is $162,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,500.00 and $198,600.00 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 Buffalo, NY?

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

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

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Cities near Buffalo, NY with the most Remote Machine Learning Compiler Engineer job openings:

Remote Machine Learning Compiler Engineer jobs near you

Customer Reliability Engineer - Airflow

Astronomer

Boston, NY • On-site, Remote

$125K - $130K/yr

Full-time

Re-posted 23 days ago

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
As an Airflow Reliability Engineer on the Customer Reliability Engineering (CRE) team at Astronomer, you will have the opportunity to become an Apache Airflow expert, learning directly from leaders of the Airflow project. You'll provide Apache Airflow expertise directly to customers to help them make the best possible use of our managed Airflow service.
CRE is Astronomer's support team. Because our customers are sophisticated organizations who need and expect high levels of expertise to help them keep mission critical uses of Apache Airflow working consistently, we look a little different from most support teams. Nearly every ticket you will work requires an intersection of strong technical knowledge and customer empathy to understand what the customer needs and how to get them there. Every day is a new challenge and a new thing to learn.
When you learn a new piece of technology, are you aiming not just to get started but to become the expert? Do you listen to the plumber when they tell you what is wrong with the pipes? Are you the kind of person who takes an MIT OpenCourseWare course and actually finishes it? Then this role could be for you.
What you get to do:
  • Learn and build expertise across several software engineering disciplines, including:
  • Airflow and data engineering
  • Kubernetes
  • Cloud Engineering
  • Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more.
  • Solve challenging Airflow problems for our customers. From optimizing configuration to identifying world-first Airflow bugs, you'll see it all here.
  • Spend up to 20% of your time on side projects that contribute to Astronomer's overall success, such as contributing to the open-source Airflow repository or developing Astronomer's internal monitoring and alerting systems built on Airflow.
  • Work on a modern, sophisticated, cloud-native product that customers use to connect to dozens of other systems. Gain depth and breadth of learning!
  • Work directly with our customers' data engineers, system admins, DevOps teams, and management.
  • Provide feedback from your experience that can shape the direction of the Airflow project.
  • Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide "white glove" guidance on the path to production.
  • Participate remotely within a fully distributed team.
  • Help maintain 24x7 coverage through a specified 6-hour pager period during your work day.
  • Participate in paid on-call rotation for weekend coverage.

What you bring to the role:
  • Data Engineering background
  • 4 years of experience with Python
  • 1 year of experience in Airflow administration and DAG creation
  • Experience with Kubernetes/Docker/Containers
  • Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)
  • Problem-solving and troubleshooting abilities
  • Ability to work well with autonomy and independence
  • Strong written and verbal communication for connecting with our customers over our ticketing system and through Zoom
  • Experience mentoring junior team members

Bonus points if you have:
  • Contributions to open-source projects
  • Customer Support experience
  • Familiarity with SQL and PostgreSQL
  • Experience with Databricks, Snowflake, Redshift, dbt, or other similar data engineering tools

The estimated total compensation for this role ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component and a comprehensive benefits package. This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Fulltime
#LI-Remote
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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