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Remote Machine Learning Compiler Engineer Jobs in Oregon

Senior Data Engineer

$117K - $146K/yr

Exposure to machine learning pipelines and real-time data processing Benefits * Medical and Dental ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Senior Detection Engineer

OR · Remote

$104K - $143K/yr

Overview Instacarts Detection Engineering team sits at the core of our Security organization ... Knowledge of machine learning for threat detection #LI-Remote

DevOps Engineer, Cloud Platform

OR · On-site +1

$52.75 - $72.25/hr

... all product and machine learning workloads. The team owns core platform components across ... Remote Travel requirements As a digital first company, the majority of your work can be ...

AI Red Teamer

OR · On-site +1

Hands-on experience with adversarial machine learning techniques and tools (e.g., Foolbox ... Proficiency in programming languages such as Python, and experience with AI frameworks like ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Senior Software Engineer, Pricing

OR · On-site +1

$122K - $161K/yr

... or machine learning preferred but not required * History of thriving in diverse work environments: both collaborative and self-directed; remote and in-person. * Deep experience with distributed ...

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: * As a technical lead, you will ...

Senior Backend Software Engineer, ObservoAI

OR · Remote

$122K - $161K/yr

As a Senior Software Engineer, you will be tasked with leading the architectural design and ... using advanced machine learning and LLMs. * Design cloud-native microservices and APIs that ...

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Senior Software Engineer, Site Reliability

OR · On-site +1

$57 - $75.75/hr

... and machine learning platforms, in a fast-paced environment * Improve incident response practices ... Remote, San Mateo, Columbus, Austin, NY Time Zone Requirements - This team operates across all U.S ...

Principal Software Engineer, Capital Marketplace

OR · On-site +1

$134K - $180K/yr

... Machine Learning, Data Engineering, Product Management, Product Design, Platform, Servicing ... Remote, San Mateo, Columbus, Austin Time Zone Requirements - This team operates across all U.S ...

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to build highly scalable and ...

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Remote Machine Learning Compiler Engineer information

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 Oregon? The most popular types of Machine Learning Compiler Engineer jobs in Oregon are:
What are popular job titles related to Remote Machine Learning Compiler Engineer jobs in Oregon? For Remote Machine Learning Compiler Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Compiler Engineer jobs in Oregon look for? The top searched job categories for Remote Machine Learning Compiler Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Machine Learning Compiler Engineer jobs? Cities in Oregon with the most Remote Machine Learning Compiler Engineer job openings:
Senior Data Engineer

$117K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Overview

The Senior Data Engineer plays a pivotal role within our expanding Data and AI team. This person helps build and scale our next-generation data platform, starting with our modernization initiative; transitioning from legacy ingestion processes embedded in C# .NET code to a scalable, cloud-native architecture on AWS and expanding into our Databricks analytical data platform for advanced processing and analytics. This is a highly impactful, hands-on role responsible for designing and implementing AI-assisted data pipelines and distributed systems that power data product, analytics, data science, and operational use cases.

Starting base pay for this role is between $117,000 and $146,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states).

Responsibilities
  • Designs and implements scalable data-ingestion pipelines using AWS services (e.g., S3, Lambda, API Gateway, Glue, Step Functions, Amazon Bedrock, Amazon  Agent Core) and Azure DevOps
  • Builds APIs and file upload mechanisms for client data ingestion
  • Develops data mapping and transformation workflows for loading into SQL Server client databases
  • Contributes to the design and implementation of a data Lakehouse architecture leveraging Databricks
  • Enables seamless data flow from the SaaS platform to the analytical platform
  • Optimizes ETL/ELT processes for performance and reliability
  • Collaborates with analytics teams to ensure data availability and quality for reporting and machine learning use cases
  • Provides operational support for existing ingestion processes integrated into C# .NET code and UI
  • Troubleshoots and resolves data pipeline issues across environments
  • Works closely with Software Engineers, Architects, and Product teams to align data solutions with business needs
  • Implements best practices for data governance, security, and compliance in a multi-tenant environment
  • Documents architecture, workflows, and operational procedures
Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or a related field required
  • 7+ years in Data Engineering or related role
  • Strong experience with AWS services for data engineering (S3, Lambda, Glue, Step Functions, API Gateway)
  • Proficiency in Python and/or C# .NET for data processing and integration
  • Hands-on experience with SQL Server and relational database concepts
  • Familiarity with Databricks, Spark, and Lakehouse architectures
  • Knowledge of ETL/ELT design patterns and data modeling
  • Experience building APIs and file-based ingestion solutions
  • Exposure to multi-tenant SaaS environments is a plus
  • Strong problem-solving and analytical skills
  • Ability to work collaboratively in a cross-functional team
  • Excellent communication and documentation skills

Preferred Qualifications:

  • Experience with CI/CD pipelines for data workflows
  • Knowledge of data governance and security best practices in cloud environments
  • Familiarity with modern data integration tools and frameworks
  • Exposure to machine learning pipelines and real-time data processing
Benefits
  • Medical and Dental coverage available for employees, dependents, domestic partners, and spouses
  • Paid Time Off - Flexible options plus 10 paid company holidays where available**
  • All full-time positions are hybrid, with many eligible to be completely remote
  • Fully Paid by Origami Risk - Vision insurance, Short & Long-Term Disability Insurance, and Basic Life Insurance
  • Generous family leave options-including adoption and foster care placements
  • Pre-Tax Savings Accounts - Flexible Spending Account, Health Savings Account, Commuter Benefits, Dependent Care Savings Account
  • Retirement Savings - 401(k) with company match up to 4%
  • Employee Assistance Program (EAP) - Confidential & Free support offered to colleagues facing personal or work-related complications
  • Education Assistance Program - to help colleagues pursue industry/role-specific certifications
  • Wellness Benefits - reimbursement program to invest in healthy habits as well as support better colleague productivity and stress management
  • Additional coverages available - Pet Insurance, Critical Illness Insurance, and Voluntary Life & AD&D coverage
**Flexible PTO not available in California or the UKWho We Are

Origami Risk delivers single-platform SaaS solutions that help organizations best navigate the complexities of risk, insurance, compliance, and safety management.

Founded by industry veterans who recognized the need for risk management technology that was more configurable, intuitive, and scalable, Origami continues to add to its innovative product offerings for managing both insurable and uninsurable risk; facilitating compliance; improving safety; and helping insurers, MGAs, TPAs, and brokers provide enhanced services that drive results.

A singular focus on client success underlies Origami's approach to developing, implementing, and supporting our award-winning software solutions. 

Origami Risk is proud to be an equal opportunity employer. We thrive and benefit from diversity and are committed to creating an inclusive and equitable environment for all employees. We do not discriminate against any individual based upon race, religion, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, color, sex, national origin, age, marital status, military or veteran status, disability, or any other characteristic protected by applicable law.

Caution: Be alert to recruiting scams. We have received reports of individuals impersonating Origami Risk recruiters to deceive candidates into disclosing personal information. These impostors use fake Origami Risk domain names and email addresses. Please double-check that any email address from an Origami Risk recruiter ends with origamirisk.com or talent.icims.com. And to confirm the legitimacy of any recruiting communication, feel free to email transparencycheck@origamirisk.com.

Employment Type: FULL_TIME