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Remote Nvidia Deep Learning Jobs in Oregon (NOW HIRING)

Vectara

Machine Learning (ML) Engineer

OR · On-site +1

Familiarity with the technical details of deep learning concepts, such as Transformers, Retrieval ... We support remote applicants from all over the US but candidates who can come to the office 2-3 ...

Cellanome

Machine Learning Engineer

Foster, OR · On-site +1

$160K - $215K/yr

Possibility for Remote. Key Responsibilities: * Design, develop, and optimize advanced algorithms ... Advanced familiarity with modern computer vision and deep learning architectures, including Vision ...

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 ... Deep theoretical and practical expertise in computer vision, with strong foundations in areas such ...

Natera

Staff Machine Learning Scientist, Agentic AI

OR · On-site +1

Deep experience with agentic frameworks, such as LangChain or Claude Agent SDK, retrieval-augmented ... including NVIDIA H100s KNOWLEDGE, SKILLS, AND ABILITIES: * Ability to operate with absolute ...

SOSi

Senior Data Scientist

OR · On-site +1

Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Numerator

Technical Product Manager

$88K - $121K/yr

This role will work with many other back-end development teams, including Deep Learning and Mobile ... Work effectively with remote teams across multiple time zones, domestic and off-shore * Leverage ...

Numerator

Technical Product Manager

$88K - $121K/yr

This role will work with many other back-end development teams, including Deep Learning and Mobile ... Work effectively with remote teams across multiple time zones, domestic and off-shore * Leverage ...

Upstart

Senior Manager, Machine Learning

OR · Remote

Tackling unique, deep-modeling challenges such as competing risk, collateral, and recovery modeling ... US Remote Time Zone Requirements - This team operates on the East/West Coast time zones. Travel ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

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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:
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Remote Nvidia Deep Learning jobs near you
Senior Machine Learning Engineer, Operations Research

Senior Machine Learning Engineer, Operations Research

Instacart

OR • Remote

$204K/yr

Other

Re-posted 3 days ago

Instacart rating

7.1

Company rating: 7.1 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

29th of 63 rated delivery companies

Job description

Overview:

We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space - including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale.

The Logistics & ML group is responsible for the intelligence and execution behind Instacart's fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.


About You:

Minimum Qualifications:

  • Have a graduate degree (masters or PhD) in Operations Research or Industrial Engineering
  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels

Preferred Qualifications:

  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems


#LI-Remote

What Instacart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Instacart

Sourced by ZipRecruiter

Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

2012

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