ZipRecruiter

Log In

2

Remote Machine Learning Compiler Engineer Jobs in Oregon

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204K - $326K/yr

... a Remote position. "Remote" employees do not have a permanent corporate office workplace and ... Who you are As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done ...

Webflow

Senior Staff Machine Learning Scientist, Assets

OR · On-site +1

$91K - $124K/yr

Remote-first (United States; BC & ON, Canada) * Full-time * Permanent * Exempt * Our cash ... Reporting to the Director, Engineering As a Senior Staff Machine Learning Scientist, you'll: * Lead ...

Gnostech LLC

Software Engineer (US-Remote)

OR · Remote

Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area Description A ... Build and integrate AI-enabled capabilities into applications, including machine learning models ...

Natera

Staff Machine Learning Scientist, Agentic AI

OR · On-site +1

Establish production-grade machine learning engineering standards and reproducible architectures across the AI team to ensure absolute model transparency and scientific auditability * Drive cross ...

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

Work with a world class team of engineers who are strong in both machine learning and software ... Location: Liftoff follows a philosophy of "remote first, come together meaningfully" and allows ...

Upstart

Senior Software Engineer

OR · On-site +1

$122K - $161K/yr

... and Machine Learning, Servicing, and Operations. How you'll make an impact Build and improve ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Corvel

Data Scientist II

This individual will be focused on designing, building, and deploying machine learning models and ... Working closely with product managers, engineering teams, and business stakeholders, this position ...

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Upstart

Principal Site Reliability Engineer

OR · On-site +1

$57 - $75.75/hr

... Machine Learning teams to elevate operational excellence across the company. How you'll make an ... Remote-US, Remote-Canada Time zone requirements The team operates on the East/West coast time zones.

next page

Showing results 1-20

All JobsRemote Machine Learning Compiler Engineer JobsRemote Machine Learning Compiler Engineer Jobs in Oregon

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:
Remote Machine Learning Compiler Engineer jobs near you
Principal Product Manager - Applied ML (Remote - United States)

Principal Product Manager - Applied ML (Remote - United States)

Yelp, Inc

Remote

$207K - $326K/yr

Full-time

Posted 15 hours ago

Yelp rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

77th of 191 rated software companies

Job description

Summary

We are looking for a seasoned Principal Product Manager to join the Applied Machine Learning Product team at Yelp. This team works horizontally with a broad set of stakeholders and has an ambitious charter to accelerate AI/ML-driven outcomes across the company. In this role, you will operate across a range of vertical problem spaces, deeply understand priorities for these areas, identify the right opportunities for the introduction of AI/ML, and drive product initiatives through the life cycle.

Given the cross-team nature of the role, you will drive outcomes through a combination of directly owned initiatives as well as collaborating and advising on active ML initiatives owned by other Product Managers. You will also have the opportunity to lead adoption of critical ML applications and technologies across the company (e.g., large language models, user personalization, intent understanding), and consequently have a deep impact on the consumer and business owner experience. A successful PM in this role is able to be strategic and clear-headed about what investments to make. You can seamlessly wear multiple hats, handle a range of contexts & problem spaces, build trust with stakeholders, and drive initiatives forward in a matrixed org structure. You are also comfortable working on 0-1 problem spaces and enjoy the process of turning ambiguous opportunities into well-defined product investments.

Past experience working on ML applications is required. That said, we are looking for candidates who are strong generalist PMs, technical, and are able to comfortably operate across a variety of problem spaces.

This opportunity is fully remote and does not require you to be located in any particular state within the US. We welcome applicants from throughout the US. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes.

What you'll do:
  • Understand problems being solved by leaders from Product, Engineering, and other groups within the company and identify where ML can help accelerate outcomes
  • Drive product outcomes through a combination of direct initiative, ownership, and influencing and advising on the roadmap of other product teams
  • Own a horizontal ML problem space (e.g., personalization), scope opportunity and identify ML capability to build; ensure adoption of these capabilities across multiple vertical teams
  • Collaborate with other ML PMs on the team to shape the roadmap for their areas in alignment with your charter
What it takes to succeed:
  • Past experience with building ML applications.
  • Comfortable navigating ambiguity, able to operate as a strong generalist across multiple problem spaces, and excited to turn ambiguous opportunities into product investments.
  • Thrive and excel at building trust with a wide set of product partners.
  • Strong foundational product skills-including product sense, execution, design thinking, problem discovery, and analytics- with the ability to apply your  understanding of ML to drive impactful product outcomes..
  • Strong executive communication skills. This role will involve directly communicating with C-Suite leadership. You can get into the weeds to understand complex details, then distill that information for executive audiences and help them make informed decisions.
  • Comfort with both product strategy and operational execution.
  • 8+ years of product management experience. 
What you'll get:
  • Compensation range is $207,000-326,000 annually. You may also be offered a bonus, restricted stock units, and benefits.
  • This opportunity has the option to be fully remote in all locations across the US.
  • You can find more information about Yelp's five star benefits here!
ClosingAt Yelp, we believe that diversity is an expression of all the unique characteristics that make us human: race, age, sexual orientation, gender identity, religion, disability, and education - and those are just a few. We recognize that diverse backgrounds and perspectives strengthen our teams and our product. The foundation of our diversity efforts are closely tied to our core values, which include "Playing Well With Others" and "Authenticity." We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Actual salary offered may vary based on multiple factors, including but not limited to, an individual's location and experience.  We will consider for employment qualified candidates with arrest and conviction records, consistent with applicable law (including, for example, the San Francisco Fair Chance Ordinance for roles based in San Francisco, the Los Angeles County Fair Chance Ordinance for roles based in the unincorporated areas of Los Angeles County, and the California Fair Chance Act for roles based in California). We are committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-recruiting@yelp.com or 415-969-8488. Note: Yelp does not accept agency resumes. Please do not forward resumes to any recruiting alias or employee. Yelp is not responsible for any fees related to unsolicited resumes. #LI-Remote 

Recruiting and Applicant Privacy Notice

Employment Type: FULL_TIME

Apply