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Remote Full Stack Machine Learning Engineer Jobs in Oregon

Prevail

Senior Full Stack Developer (Ruby on Rails)

OR · On-site +1

$150K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This position is fully remote and reports to the Chief Technology Officer. Required Qualifications ... Engineer - Professional, or * AWS Certified Developer - Associate * Familiarity with Gen-AI tools ...

Gametime United

Head of Applied Machine Learning

OR · On-site +1

Position Summary Gametime is seeking a Head of Applied Machine Learning to lead the development and ... Solid software engineering skills and experience working within modern data and ML stacks * Proven ...

Upstart

Software Engineer, Conversion

OR · On-site +1

... Machine Learning to launch new product flows, ship model upgrades, and continuously test and ... Maintain full-stack web applications through monitoring of key system metrics such as latency and ...

Instacart

Senior Product Manager, Ads Quality

OR · On-site +1

$126K - $166K/yr

You'll partner closely with a team of talented machine learning engineers and ads engineers who are ... the full advertising stack. * Comfort operating in ambiguous, high-growth environments where ...

Smarsh

Sr. Full-Stack Developer - AI-forward

OR · On-site +1

We are seeking a Senior Full-stack Engineer to join our Engineering & Integration (E&I) team. The ideal candidate blends deep full-stack development expertise with strong general software engineering ...

Public Library of Science

Senior Software Engineer - FTC

OR · On-site +1

$130K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Significant professional software engineering experience gained in a full stack environment ... Expertise in machine learning and machine learning pipelines preferred. * Solid foundation in ...

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 ...

Tebra

Data Engineer

OR · On-site +1

$114K - $137K/yr

You'll partner closely with Machine Learning Engineers, Data Scientists, and Software Engineers to ... Remote

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 ...

Prevail

Mid-Level Full Stack Developer (Ruby on Rails)

OR · On-site +1

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Mid-Level Full Stack Developer, you will contribute to building and maintaining web ... You will work with both object-oriented and functional programming paradigms in a fully remote ...

Natera

Machine Learning Scientist, Multimodal AI

OR · On-site +1

You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to scale machine learning approaches that advance personalized oncology diagnostics and tumor-informed ...

Upstart

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 ... Full Stack development skills * Experience building tooling for an observability platform

Delaware Nation Industries

AI Developer/Engineer

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

This is a fully-remote opportunity. The AI Developer/Engineer designs, develops, integrates, and supports production-ready artificial intelligence and machine learning solutions. This role works ...

SOSi

Senior Data Scientist

OR · On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

Versapay

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

... machine learning operations. You will operate as a full-stack generalist within the engineering pod ... Remote We are an equal opportunity employer and value diversity at our company. We do not ...

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

Build and integrate AI-enabled capabilities into applications, including machine learning models ... Familiarity with observability platforms (Prometheus, Grafana, ELK stack). * Experience with NoSQL ...

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All JobsFull Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer JobsRemote Full Stack Machine Learning Engineer Jobs in Oregon

Remote Full Stack Machine Learning Engineer information

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Oregon?

The most popular types of Full Stack Machine Learning Engineer jobs in Oregon are:

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Oregon?

For Remote Full Stack Machine Learning Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Oregon look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Oregon are:

What cities in Oregon are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities in Oregon with the most Remote Full Stack Machine Learning Engineer job openings:

Remote Full Stack Machine Learning Engineer jobs near you

Machine Learning Engineer II - Autonomous Driving Training Infrastructure

May Mobility

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Job Summary

May Mobility is entering an exciting phase of growth as we expand our first-of-its-kind autonomous shuttle and mobility services across the nation. Launched in 2017 with a strong team of experienced roboticists and software engineers with decades of experience fielding robotic systems in the wild, May Mobility is looking to expand its team of robotics engineers with a background in robotics or autonomous vehicles.

We are seeking ML-Oriented Software Engineers with experience in robotics applications. As part of our Autonomous Driving ML team, you will use your knowledge of Software and ML concepts to design and operate pipelines that allow May's Autonomous Driving stack to improve quickly and reliably at scale.

Essential Responsibilities
  • Own the process to transition Autonomous Driving ML models from concept to commercial scale.
  • Architect and operate data,  training and evaluation pipelines across cloud and cluster environments.
  • Design and maintain the data and metadata stores that back our training and evaluation workflows.
Skills and Abilities

Success in this role typically requires the following competencies:

  • Employ data and model parallelism training techniques for large data (>100TB) or large model (>100GB) applications
  • Architecting and operating containerized/pipelined ML Training workloads, including GPU scheduling/autoscaling, dataloader design and experiment tracking.
  • Building and maintaining CI/CD pipelines and infrastructure.
  • Working with relational and object stores, and high-throughput data formats for ML workloads.
Qualifications and Experience

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

  • Bachelor's or Master's degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
  • A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
  • Proficiency in C++, Python and PyTorch with experience in Linux environments.
  • Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)

Desirable

  • Familiarity with basic Perception and Planning concepts in Autonomous Driving.
  • Proficiency in Go or Rust.
  • Familiarity with ML orchestration and experiment tooling such as Ray, Kubeflow, Airflow, MLflow, or Weights & Biases.
  • Familiarity with distributed training frameworks (PyTorch DDP/FSDP, DeepSpeed).
  • Familiarity with data pipeline and storage technologies (Spark, Parquet, object storage, feature/metadata stores).
Physical Requirements
  • Standard office working conditions which includes but is not limited to:
    • Prolonged sitting
    • Prolonged standing
    • Prolonged computer use

Travel required? -  Low 5-10%

Benefits and Perks

  • Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate. 
  • Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
  • Rich retirement benefits, including an immediately vested employer safe harbor match.
  • Generous paid parental leave as well as a phased return to work. 
  • Flexible vacation policy in addition to paid company holidays.
  • Total Wellness Program providing numerous resources for overall wellbeing   
Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May.

Want to learn more about our culture & benefits? Check out our website!

May Mobility is an equal opportunity employer.  All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis.   Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary.  Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.

Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

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