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Remote Machine Learning Compiler Engineer Jobs in Oregon

Tyto Athene, LLC

Machine Learning Engineer

Description Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

The Machine Learning Engineer will work in close collaboration with the core instrument, assay and ... Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ...

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

... machine learning to real-world problems, and crafting scalable and effective ML/AI solutions ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Upstart

Senior Manager, Machine Learning

OR · Remote

Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan ... US Remote Time Zone Requirements - This team operates on the East/West Coast time zones. Travel ...

Varsity Tutors

Machine Learning Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Portland, OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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 ...

Upstart

Software Engineer, Verifications Platform

OR · On-site +1

Partner with Machine Learning, Product, Risk, Fraud, and Compliance teams to integrate data ... Remote Travel requirements As a digital first company, the majority of your work can be ...

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 ...

Upstart

Senior Privacy Engineer

OR · On-site +1

$104K - $143K/yr

The team works across Engineering, Security, Legal, Compliance, Product, Data, and Machine Learning ... REMOTE #LI-MidSenior --> use for L5, L6

New

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 ...

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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:
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Remote Machine Learning Compiler Engineer jobs near you
Machine Learning Engineer

Machine Learning Engineer

Tyto Athene, LLC

On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Description

Tyto Athene is seeking a driven and adaptable Machine Learning Engineer to help shape the future of cybersecurity through automation and machine learning. This role is an opportunity to work across diverse environments-supporting internal product teams, commercial security clients, and U.S. federal customers-while solving meaningful problems with cutting-edge tools and research. At Tyto Athene, innovation meets mission-critical impact. Join a team where your ideas lead to real-world solutions for government and commercial partners. Work remotely with talented engineers, grow your skills, and help us redefine what's possible with automation. 

Responsibilities:

  • Serve as a subject matter expert in Machine Learning and its applications in Cyber Defense, researching and implementing differentiating and novel ML-based solutions to problems SOCs face. 
  • Developing agentic solutions for Cyber Incident Response. 
  • Solve complex security and architecture challenges with creativity and precision, with a focus on real-time performance and scalability. 
  • Identify and recommend improvements to architectures, especially in secure environments. 
Qualifications

Required:

  • U.S. Citizenship (required for federal projects) 
  • 3+ years of experience with ML 
  • 3+ years of experience with Cybersecurity, (purple preferred) 
  • Strong MLOps skills and understanding of the severity of risks such as semantic drift in a security-oriented system. 
  • Experience developing pipelines that feed to an SOC, ideally an active system such as anomaly detection or IDS rather than just a static or periodically updated dashboard. 
  • Proficiency with major cloud platforms, such as AWS, Azure and GCP 
  • Excellent problem-solving, communication, and collaboration skills 
  • Ability to work independently with distributed teams in a fast-paced, agile environment 
  • Eagerness to learn new technologies and drive innovation 

Desired:

  • Passionate about cybersecurity and the impact AI will have on the speed and scale of the industry. 
  • Understands ML theory outside of the current trends, e.g. knows pre-LLM NLP theory and how approaches such as genetic algorithms and energy-based models work. 
  • Exposure to DoD NetSecOps, even if only as a compliant, s.t. the applicant has an understanding of where the focuses are in DoD network security and what could help them. 
  • Understands DoD and federal compliance and expectations with regards to security. 
  • Understands more sophisticated and still-experimental ML approaches such as world models, neuro-symbolic learning, spiking neural networks, experimental RL objectives such as curiosity or information density, etc. 
About Tyto Athene

Compensation:

  • Compensation is unique to each candidate and relative to the skills and experience they bring to the position. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range. 

Benefits:

  • Highlights of our benefits include Health/Dental/Vision, 401(k) match, Paid Time Off, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and parental leave.
Tyto Athene is a trusted leader in IT services and solutions, delivering mission-focused digital transformation that drives measurable success. Our expertise spans four core technology domains-Network Modernization, Hybrid Cloud, Cybersecurity, and Enterprise IT-empowering our clients with cutting-edge solutions tailored to their evolving needs. With over 50 years of experience, Tyto Athene proudly support Defense, Intelligence, Space, National Security, Civilian, Health, and Public Safety clients across the United States and worldwide.  At Tyto Athene, we believe that success starts with our people. We foster a collaborative, innovative, and mission-driven environment where every team member plays a critical role in shaping the future of technology. Are you ready to join #TeamTyto?  Tyto Athene, LLC is an Equal Opportunity Employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, [sexual orientation, gender identity,] national origin, disability, status as a protected veteran, or any characteristic protected by applicable law.Employment Type: FULL_TIME

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