1

Machine Learning Engineer Python Jobs in Oregon (NOW HIRING)

Machine Learning Manager - Localization Algorithms

OR · On-site +1

$523K - $920K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Localization Data Science and Engineering team is at the forefront of removing language ... We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and ...

Natera is hiring a Machine Learning Scientist to join our AI and computational biology team. This ... Hands-on expertise with PyTorch and strong production-level programming skills in Python

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Machine Learning Tutor

OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Machine Learning Tutor

Eugene, OR · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

AI Engineer

OR · On-site +1

Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • ...

Overview LMI is seeking a Machine Learning Operations Engineer (ML Ops Engineer) to support the ... Advanced proficiency with Python and Python-based web frameworks (e.g., Flask, Django, FastAPI, etc.

Python • Azure OpenAI • OpenAI APIs • LangChain • LangGraph • LlamaIndex • Semantic Kernel • RAG • AI Agents • Machine Learning • FastAPI • Azure AI Studio • Azure DevOps • ...

Data Engineer

OR · On-site +1

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... machine learning workloads. * Strong proficiency in Python and SQL with experience developing ...

Python Tutor

Eugene, OR · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

OR · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Python Tutor

Portland, OR · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

Partner with Machine Learning teams, GenAI application developers, business sponsors, and other ... Experience coding in R, Python, or similar languages such as Matlab Preferred Qualifications * PhD ...

New

AI Developer/Engineer

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

Five or more years of experience in software development, machine learning engineering, data engineering, or a related discipline. * Proficiency in Python and experience with at least one additional ...

Managing MLE-heavy engineering and research efforts to optimize our core unsecured personal loan ... Experience * 6+ years of experience developing and deploying machine learning models in production ...

Showing results 41-60

Machine Learning Engineer Python information

What is a machine learning engineer python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What are the key skills and qualifications needed to thrive as a machine learning engineer python?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by machine learning engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Oregon?

For Machine Learning Engineer Python jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Machine Learning Engineer Python jobs?

Cities in Oregon with the most Machine Learning Engineer Python job openings:

Infographic showing various Machine Learning Engineer Python job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Machine Learning Engineer - Notifications/Feed

Nextdoor

OR • On-site, Remote

$170K - $334K/yr

Full-time

Re-posted 14 days ago


Job description

#TeamNextdoor

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 350,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.

Meet Your Future Neighbors

At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust. Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange. We believe that ML will be an integral part of making Nextdoor valuable to our members. We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior. We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live. 

At Nextdoor, we operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we're looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs.

We also offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in office presence and work from home experience for our valued employees. The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. 

The Impact You'll Make
  • You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments. You will be working closely with the product team and the Data Science team on a daily basis. Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
  • Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
  • Analyze datasets and use important features to build low-latency models for decisions that need to be made quickly
  • Deploy ML models into production environments and integrate them into the product
  • Run and analyze live user-facing experiments to iterate on model quality by measuring the impact on business metrics
  • Collaborate with other engineers and data scientists to create optimal experiences on the platform
  • Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises
  • Build in-person relationships with team members and contribute to Nextdoor's company culture
What You'll Bring To The Team
  • 4+ years of industry experience in applying machine learning at scale 
  • Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale is required
  • Experience building ML models for consumer-facing products
  • Proven engineering skills, with experience in writing and maintaining high-quality production code
  • Ability to work with and analyze large amounts of data
  • Ability to succeed in a dynamic startup environment
  • Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done
  • B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
Rewards

Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications.

The starting salary for this role is expected to range from $170,000 to $334,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location.

We expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date will take place within 3 months of your start date.

When it comes to benefits, we have you covered! Nextdoor employees can choose between a variety of health plans, including a 100% covered employee only plan option, and we also provide a OneMedical membership for concierge care.

At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records.

For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

#LI-Hybrid #LI-Remote