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From Home Embedded Machine Learning Jobs in Oregon

Liftoff

Staff Product Manager, Conversion ML

OR · On-site +1

To do so, we build Machine Learning technology that can accurately predict which apps a user will ... from a number of different states where we have entities in the United States (CA, CO, ID, IL, FL ...

Apple

SerDes Micro Architect

Beaverton, OR

... Machine Learning concepts Experience in firmware or embedded software development is a plus Minimum Qualifications BS degree in technical discipline with minimum 10 years of relevant experience.

Upstart

Applied Scientist

OR · On-site +1

The team conducts machine learning research, evaluates model performance, and partners closely with ... Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from ...

GuideMe

PHP Web Developer

Portland, OR · On-site +1

Where We prefer that employees be based in Portland or Eugene, and allow people to work from home ... machine learning a plus - Ability to have fun and work hard required.

SentinelOne

Principal AI Engineering Architect

OR · On-site +1

Deep expertise in building highly available, low-latency machine learning systems, including ... From day one, we architected an AI-native platform designed to operate at machine speed, not as an ...

BetterHelp

Staff ML/AI Platform Engineer

OR · On-site +1

... machine learning models * Build model deployment platform that can simplify implementing new models * Build end-to-end reusable pipelines from data acquisition to model output delivery * Mentor and ...

A-dec Inc.

AI Engineer, Sr

Newberg, OR · On-site

$109K - $150K/yr

... maintain machine learning models and AI services used in production environments • Design and ... AI is embedded into business processes • Familiarity with emerging AI regulations and ...

Nike

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

... machine learning, and emerging technologies; communicate effectively with cross-functional teams, building trust and strong relationships across the organization. Telecommuting is available from ...

Smarsh

Lead Data Scientist

OR · On-site +1

Relentless innovation has fueled our journey to consistent leadership recognition from analysts ... Development of machine learning models and other analytics following established workflows, while ...

Netflix

Research Engineer 5/6 - AI for Member Systems

OR · On-site +1

... machine learning algorithms that improve personalization, recommendations, and member experiences. Create scalable, production-ready ML solutions, taking algorithms from initial concept through to ...

Apple Inc.

SerDes Micro Architect

Beaverton, OR · On-site

$180 - $240/hr

Familiarity with Machine Learning concepts. * Experience in firmware or embedded software development is a plus. Apple is an equal opportunity employer that is committed to inclusion and diversity.

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Machine Learning Engineer II - Autonomous Driving Training Infrastructure

May Mobility

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 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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