3

Remote No Experience Machine Learning Jobs in Oregon

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Experience building scalable APIs and microservices in a cloud-based environment (e.g., AWS, GCP)

Lead Data Scientist

OR · On-site +1

Experience with one or more data science and machine/deep learning frameworks and tooling, including scikit-learn, H2O, keras, pytorch, tensorflow, pandas, numpy, carot, tidyverse * Command of data ...

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Deep knowledge of machine learning algorithms, neural networks, natural language processing ...

Data Science Tutor

OR · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Eugene, OR · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

Tutor remotely using our purpose-built Live Learning Platform. No commuting required. * Get matched ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

... Machine Learning to launch new product flows, ship model upgrades, and continuously test and ... Experience delivering end-to-end features across frontend and backend systems, including APIs and ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

... user experience with Netflix across their member journey. We pride ourselves on using data to ... powering machine-learning models You have a strong background in at least one of the following ...

Showing results 21-40

Remote No Experience Machine Learning information

What are some typical entry-level tasks for remote machine learning roles that require no prior experience?

In remote entry-level machine learning positions that don't require experience, you'll often start with foundational tasks such as data cleaning, labeling datasets, basic exploratory data analysis, or assisting with the implementation of machine learning algorithms under supervision. You may also be responsible for maintaining project documentation and supporting more experienced team members with research or testing. Collaboration usually takes place via online platforms, so strong communication and the ability to learn new tools quickly are important. These tasks are designed to help you build foundational skills and gradually take on more complex responsibilities as you grow in the role.

What are the key skills and qualifications needed to thrive in a remote, entry-level machine learning role?

To thrive in a remote, entry-level machine learning role, you need a solid understanding of mathematics, programming (especially Python), and basic machine learning concepts, often gained through online courses or a relevant degree. Familiarity with technical tools such as Jupyter Notebooks, TensorFlow, or scikit-learn, and experience using version control systems like Git are commonly expected. Strong self-motivation, effective communication, and the ability to collaborate virtually make candidates stand out in remote environments. These skills and qualities are crucial for successfully contributing to projects, adapting to new technologies, and working efficiently with distributed teams.

What is the difference between Remote No Experience Machine Learning vs Remote No Experience Data Analysis?

AspectRemote No Experience Machine LearningRemote No Experience Data Analysis
Required CredentialsBasic understanding of programming, statistics, and data concepts; no formal certification neededBasic knowledge of data handling, Excel, and analytical tools; no formal certification needed
Work EnvironmentRemote, often collaborative with data science teamsRemote, often independent or team-based data review tasks
Industry UsageUsed in tech, finance, healthcare for predictive modelingUsed across industries for reporting, insights, and decision-making

While both roles are entry-level and remote, Machine Learning focuses on understanding algorithms and predictive models, whereas Data Analysis emphasizes interpreting data and generating reports. Your choice depends on whether you prefer working with algorithms and coding or analyzing data for insights.

What are the most commonly searched types of Remote Machine Learning jobs in Oregon?

The most popular types of Remote Machine Learning jobs in Oregon are:

What are popular job titles related to Remote No Experience Machine Learning jobs in Oregon?

For Remote No Experience Machine Learning jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Remote No Experience Machine Learning jobs?

Cities in Oregon with the most Remote No Experience Machine Learning job openings:

Software Engineer, Distribution Platform

Upstart

OR • On-site, Remote

Full-time

Re-posted 5 days ago


Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

The Team: 

Upstart's Distribution Platform team is developing innovative solutions and strategies that drive efficient and scalable marketing outreach, empowering us to effectively engage with our users while having a direct impact on Upstart's mission and growth. The team is responsible for some of our highest value distribution channels including digital ads, direct mail, and partner integrations. Our goal is to build an intelligent, unified system that learns, automates, and scales how Upstart engages with our customers on these channels.  

As a Software Engineer on the Distribution Platform team  at Upstart, you will be instrumental in helping us create the tools and systems to target the right users with the right content at the right time. You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning, and Product to create a scalable marketing platform that mobilizes Upstart's owned channels to drive users to our products efficiently. 

How you'll make an impact

  • Work with cross functional partners including product managers, designers, machine learning engineers, analytics, and marketing managers to design and deliver high-quality products to be served across various marketing channels
  • Design and build technology for serving marketing content to users in a scalable and efficient manner
  • Make architectural contributions and decisions to improve the reliability of our software and maintainability of our code base

Minimum Qualifications 

  • Bachelor's degree in Computer Science, Engineering, or Mathematics, or a related field (or its equivalent) + 3 years of experience
  • Strong proficiency in one or more programming languages such as Ruby, Java, Kotlin, Python, or Javascript
  • Experience building scalable APIs and microservices in a cloud-based environment (e.g., AWS, GCP).
  • Experience leading small to medium sized projects over multiple months and/or multiple engineers
  • Excellent written and verbal communication skills with the ability to work in a distributed team 

Preferred Qualifications

  • Experience working on systems that integrate with 3rd parties and/or ingest, store, expose large amounts of data
  • Experience with SQL, data warehouses, or other database technologies
  • Professional experience with digital advertising platforms like Google Ads or Meta Ads
  • Professional experience working with Ruby on Rails and/or Kotlin
  • Experience or interest in working with React, typescript, or front end technologies
  • Experience working with marketing technology or growth engineering

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

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.

#LI-REMOTE

#LI-Associate 


What Upstart employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom