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Remote Mechanical Engineering Machine Learning Jobs in Oregon

Upstart

Senior Manager, Machine Learning

OR ยท 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 ...

OneStudyTeam

Senior Machine Learning Engineer

OR ยท On-site +1

$140K - $190K/yr

Extensive ML engineering experience: 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from ...

Varsity Tutors

Machine Learning Tutor

OR ยท Remote

$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 ยท Remote

$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 ยท Remote

$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 ...

Zillow

Principal Machine Learning Engineer, Agentic AI

OR ยท On-site +1

$204.40K - $326.60K/yr

This role has been categorized as a Remote position. "Remote" employees do not have a permanent ... A master's degree or above, equivalent experience in Computer Science, Electrical Engineering, or a ...

Webflow

Senior Staff Machine Learning Scientist, Assets

OR ยท On-site +1

$91.40K - $124.90K/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 ...

Cresta

Senior Machine Learning Engineer

OR ยท On-site +1

$205K - $270K/yr

... engineering bar. Perks & Benefits: We offer a comprehensive and people-first benefits package to ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Autodesk

Senior Machine Learning Test Engineer

OR ยท On-site +1

$110.40K - $143.40K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... You will report to an Engineering Manager in Research Enablement. Location: United States, East ...

Zillow

Principal Machine Learning Engineer, Agentic AI

OR ยท On-site +1

$204.40K - $326.60K/yr

... a Remote position. "Remote" employees do not have a permanent corporate office workplace and ... A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering ...

Upstart

Principal Product Manager, Pricing Platform

OR ยท On-site +1

Partner with engineering, machine learning, and product teams across unsecured, auto, and home ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

DataRobot

Senior AI Engineer - Professional Services

OR ยท Remote

$165K - $225K/yr

This is a fully remote position with no requirement to go into an office on a regular basis. There ... machine learning engineering, or a similar role with a proven track record of deploying AI ...

DataRobot

Senior AI Engineer - Professional Services

OR ยท Remote

$165K - $225K/yr

This is a fully remote position with no requirement to go into an office on a regular basis. There ... machine learning engineering, or a similar role with a proven track record of deploying AI ...

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Remote Mechanical Engineering Machine Learning information

What are some typical challenges faced by remote mechanical engineers working with machine learning, and how can they be managed?

Remote mechanical engineers who work with machine learning often face challenges such as effective cross-functional collaboration, accessing and sharing large datasets, and keeping communication clear across distributed teams. To manage these, it's important to leverage collaborative tools for version control, data management, and regular virtual meetings. Building strong communication habits and proactively seeking feedback from data scientists, software engineers, and other stakeholders will help ensure project alignment and smooth workflows.

What is a Remote Mechanical Engineering Machine Learning job?

A Remote Mechanical Engineering Machine Learning job combines mechanical engineering expertise with machine learning techniques, allowing professionals to develop intelligent systems and optimize mechanical processes from a remote location. These roles often involve tasks such as analyzing engineering data, building predictive models, automating design tasks, and enhancing product performance using AI algorithms. Working remotely, engineers collaborate with teams through digital platforms, contributing to research, development, and deployment of machine learning solutions in mechanical engineering applications.

What is the difference between Remote Mechanical Engineering Machine Learning vs Remote Mechanical Engineering?

AspectRemote Mechanical EngineeringRemote Mechanical Engineering Machine Learning
Required CredentialsBachelor's or Master's in Mechanical EngineeringBachelor's or Master's in Mechanical Engineering; knowledge of Machine Learning
Work EnvironmentDesign, analysis, CAD modeling, testingDesign, analysis, CAD modeling with ML integration, data analysis
Industry UsageManufacturing, automotive, aerospaceManufacturing, automotive, aerospace with AI/ML applications
Common Search/ComparisonYesYes

Remote Mechanical Engineering involves traditional engineering tasks like design and analysis, while Remote Mechanical Engineering Machine Learning combines these with AI techniques to optimize processes and develop intelligent systems. The latter requires additional knowledge of machine learning but shares many core skills and industry applications.

What are popular job titles related to Remote Mechanical Engineering Machine Learning jobs in Oregon? For Remote Mechanical Engineering Machine Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Mechanical Engineering Machine Learning jobs in Oregon look for? The top searched job categories for Remote Mechanical Engineering Machine Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote Mechanical Engineering Machine Learning jobs? Cities in Oregon with the most Remote Mechanical Engineering Machine Learning job openings:
Remote Mechanical Engineering Machine Learning jobs near you
Senior Manager, Machine Learning

Senior Manager, Machine Learning

Upstart

Remote

Other

Posted 25 days ago

Job description

The Teamย 

Our Core ML organization is looking for an exceptional, hands-on Machine Learning Manager to join our leadership group. Because our ML teams share common codebases and modeling pipelines, we are searching for generalist ML leaders who can be deployed to the areas of our business where they will have the most impact.

Rather than hiring for one specific silo, we match candidates to the right team based on their unique background, technical strengths, and interests. Depending on your expertise, you could step in to lead one of several high-priority teams, such as:

  • Cash Line: Leading the 01 ML innovation for our brand new subscription-based line of credit, building core underwriting and customer behavior models (churn, draw, default) in a domain with limited data and long feedback loops.
  • Auto Retail Lending (ARL): Tackling unique, deep-modeling challenges such as competing risk, collateral, and recovery modeling for dealership-based auto lending.
  • Underwriting: Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan models.

This is a highly technical player-coach role. You will not be managing a massive organization; instead, you will lead a small, nimble team of individual contributors (Research Scientists, Data Scientists, or Machine Learning Engineers). This role is designed for a builder who wants to retain meaningful strategic scope, maintain a roughly 50/50 split between technical execution and management, and act as the definitive ML owner for their product space.

How you'll make an impact:

  • Act as a Player-Coach: Dive deep into the data and code. You will spend a significant portion of your time making direct technical contributions, reviewing code/PRs, and understanding the mathematical nuances of your team's models.
  • Lead Strategic Initiatives: Take ownership of a specific product area (like Cash Line or Auto) and serve as the de facto ML leader in cross-functional strategy meetings.
  • Drive 01 and Scaling ML Efforts: Depending on your team placement, you may build out entirely new capabilities from scratch or optimize highly mature models dealing with massive scale and shifting macro-economic regimes.
  • Translate Models to Business Impact: Design and refine decision engines that translate model predictions into accurate, transparent, and customer-friendly lending outcomes.

What we're looking for:

  • Minimum Qualifications
    • Experience
      • 6+ years of experience developing and deploying machine learning models in production with direct business impact.
      • Proven track record of leading high-impact ML initiatives from research through productionization.
      • Advanced degree in a quantitative field (e.g., computer science, statistics, economics, operations research, etc).
    • Technical abilities and attitude
      • Strong technical judgment and ability to dive deep into model design, data analysis, and evaluation.ย 
      • Keen statistical, economic and business intuition, and comfort with reasoning under uncertainty and data limitations.
      • Knowledge of production ML, ability to adapt to new tech stacks and get in the weeds of work output from the team.ย 
      • Excited and able to make direct technical contributions when needed.
    • Leadership
      • Exceptional leadership skills with experience developing teams of highly technical ML scientists.
      • Attract, mentor, and grow a top-tier team of ML scientists passionate about expanding access to credit.
      • Proven ability to influence and collaborate cross-functionally with Product, Engineering, Capital Markets and other teams.
      • Strong project management skills with experience scaling processes and operational workflows.
  • Preferred Qualifications
    • PhD in Computer Science, Statistics, Economics or a related field.
    • Proven success building and scaling new ML products from inception.
    • Familiarity with lending, lines of credit, or other consumer finance products.ย 
    • Hands-on familiarity with end-to-end ML infrastructure, including experimentation pipelines, feature stores, and model monitoring. Ability to uplevel team's engineering practices and drive cross-functional engineering design.

Position Location - This role is available in the following locations: US Remote

Time Zone Requirements - This team operates on the East/West Coast time zones.

Travel Requirements - This team has regular on-site collaboration sessions. These occur 3-4 days per quarter at one of our offices. If you need to travel to make these meetups, Upstart will cover all travel related expenses.

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