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Remote Nvidia Deep Learning Jobs in Oregon (NOW HIRING)

Upstart

Principal Product Manager, Pricing Platform

OR · On-site +1

This role sits at the intersection of infrastructure and product, requiring deep platform thinking ... Partner with engineering, machine learning, and product teams across unsecured, auto, and home ...

Upstart

Senior Security Engineer, Data Security

OR · On-site +1

$114K - $156K/yr

This is a highly impactful role that combines deep hands-on technical execution. You will design ... Remote - US Time Zone Requirements - This team operates on the East/West Coast time zones. Travel ...

Public Library of Science

Senior Software Engineer - FTC

OR · On-site +1

$130K - $142K/yr

This position is fully remote/home based. Applications will be accepted from candidates based in ... Deep understanding and experience of at least one server-side language. * Expertise in cloud native ...

BECU

Sr. Software Engineer - AI Innovation Team

OR · On-site +1

$110K - $204K/yr

Our "people helping people" philosophy has guided us since 1935, driving our deep commitment to ... Remote or onsite, we are committed to ensuring you are fully engaged and included in our ...

AcuityMD

Senior Product Manager

OR · On-site +1

$175K - $215K/yr

We value both deep PM craft (e.g., understanding user needs, making smart tradeoffs, and driving ... Reimbursements for relevant learning and up-skilling opportunities. * Remote work : AcuityMD is ...

Upstart

Senior Software Engineer, Pricing

OR · On-site +1

$122K - $161K/yr

... learning preferred but not required * History of thriving in diverse work environments: both collaborative and self-directed; remote and in-person. * Deep experience with distributed systems, cloud ...

Yoodli AI Roleplays

Growth Customer Success Manager

OR · Remote

$125K - $150K/yr

We are targeting a East Coast based Remote hire. About you: * 3+ years of experience as an ... love for learning Extra credit experience: * Deep understanding of the SaaS ecosystem and ...

Cresta

Senior Infrastructure Engineer/SRE

OR · On-site +1

$108K - $147K/yr

Building machine learning infrastructure that enables AI teams to train, test, and deploy on large ... Deep familiarity with container-related security best practices. * Production experience working ...

AcuityMD

Data Analyst, Software Engineering Track

OR · On-site +1

$80K - $100K/yr

Build deep expertise in AcuityMD's data model, business logic, and data pipelines. * Partner ... $1,000 to invest in remote office equipment plus Wi-Fi reimbursement. * Learning Budget:

Treliant LLC

Credit Model Specialist

$75 - $150/hr

We are led by practitioners from the industry and the regulatory community who bring deep domain ... Treliant is looking for Credit Risk Modelers for remote, project-based opportunities.

AnswerRocket

Business Development Executive

OR · Remote

This fully remote role is supported by an Atlanta-based team and requires at least 25% or more ... Curiosity and a lifelong love of learning, staying ahead of industry trends. * Bachelor's degree or ...

Ellucian

Senior Strategic Business Advisor | Remote

$101K - $133K/yr

Fueled by decades of experience with a singular focus on the unique needs of learning institutions ... Deep understanding of higher education business operations, including student lifecycle management ...

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Remote Nvidia Deep Learning information

What is the difference between Remote Nvidia Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Nvidia Deep LearningRemote Machine Learning Engineer
Required CredentialsDeep learning certifications, Nvidia GPU expertise, programming skills in Python and CUDAMachine learning certifications, Python, data analysis, model deployment skills
Work EnvironmentRemote, GPU-intensive tasks, AI research, model trainingRemote, data processing, model development, deployment
Industry UsageAI research labs, tech companies, autonomous vehiclesTech firms, finance, healthcare, e-commerce

Remote Nvidia Deep Learning focuses on developing AI models using Nvidia GPUs and CUDA, often in research or AI-specific roles. Remote Machine Learning Engineers work on building and deploying machine learning models across various industries. While both roles require programming and data skills, Nvidia Deep Learning emphasizes GPU expertise and AI research, whereas Machine Learning Engineers focus on broader model deployment and application.

What are popular job titles related to Remote Nvidia Deep Learning jobs in Oregon? For Remote Nvidia Deep Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Nvidia Deep Learning jobs in Oregon look for? The top searched job categories for Remote Nvidia Deep Learning jobs in Oregon are:
What cities in Oregon are hiring for Remote Nvidia Deep Learning jobs? Cities in Oregon with the most Remote Nvidia Deep Learning job openings:
Remote Nvidia Deep Learning jobs near you
Principal Product Manager, Pricing Platform

Principal Product Manager, Pricing Platform

Upstart

OR • On-site, Remote

Other

Posted 21 days ago

Job description

The Team: 

Upstart's Pricing Platform team builds the reusable, scalable, and reliable platform that powers pricing across all Upstart loan products, including unsecured, auto, and home loans. This team owns the core primitives that translate application data into the offers (APR) presented to customers, including eligibility, qualification, underwriting, and offer selection. 


As a Principal Product Manager at Upstart, you will define and drive the strategy for one of the most critical systems at Upstart-the platform that powers how we price loans and deliver offers to customers. This role sits at the intersection of infrastructure and product, requiring deep platform thinking and strong technical fluency. You will lead efforts to evolve a complex, high-impact system into a scalable, modular platform that accelerates innovation across all loan products. You will balance near-term reliability and quality improvements with long-term investments that unlock velocity and flexibility for engineering teams across the company.

How you'll make an impact

  • Define and execute the long-term vision for Upstart's pricing platform, enabling scalable and reusable capabilities across multiple loan products
  • Improve the reliability, quality, and availability of pricing systems, reducing risk and preventing high-impact failures in a business-critical system
  • Drive platform evolution from a complex, monolithic architecture toward modular, service-oriented systems that increase engineering velocity
  • Partner with engineering, machine learning, and product teams across unsecured, auto, and home lending to enable new pricing capabilities and use cases
  • Balance competing priorities across stakeholders, making principled tradeoffs between short-term business needs and long-term platform investments
  • Identify and unlock opportunities to accelerate product development by improving platform primitives and reducing dependency bottlenecks

Minimum Qualifications 

  • BA/BS in Economics, Computer Science, Electrical Engineering, Mathematics, Statistics, a related technical field, or equivalent practical experience.
  • 5-7 years of product management experience. 
  • Experience building or managing backend platforms or infrastructure systems
  • Experience working with engineering teams on large-scale, complex systems
  • Experience defining product requirements and driving execution for technical products

Preferred Qualifications

  • Experience working on pricing systems, ads platforms, or similar optimization systems
  • Experience evolving monolithic systems into modular or service-oriented architectures
  • Experience working in machine learning, data science, or analytics-driven environments
  • Experience operating in highly cross-functional environments with multiple stakeholders

Position location This role is available in the following locations: Remote

Time zone requirements The team operates on the East/West coast time zones.

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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