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Climate Research Scientist Machine Learning Jobs in Oregon

Upstart

Applied Scientist

OR · On-site +1

The team conducts machine learning research, evaluates model performance, and partners closely with ... As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured ...

Upstart

Principal Applied Scientist

OR · On-site +1

The work sits at the intersection of operations research, optimization, causal machine learning ... Partner with scientists, engineers, and cross-functional stakeholders to translate analytical ...

Netflix

Machine Learning Scientist 5 - Ads Bidding

OR · On-site +1

$466K - $750K/yr

Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or related quantitative field. Proficiency in Python, Scala or Java. Deep knowledge of machine learning, optimization ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

In this position, you will drive the development of statistical models and machine learning ... the clinical research community. What You'll Be Working On * Site Randomization Forecasting:

Bespoke Labs

Machine Learning Engineer

Salem, OR · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Sonatype

Data Scientist

OR · On-site +1

What you bring: * 5+ years of hands-on experience in applied data science, machine learning, AI engineering, or AI research. * Computer Science or equivalent technical degree strongly preferred

Bespoke Labs

Machine Learning Engineer

Eugene, OR · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Portland, OR · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Corvel

Data Scientist II

We have an exciting opportunity for a Data Scientist within our data product space ... This individual will be focused on designing, building, and deploying machine learning models and ...

Gametime United

Head of Applied Machine Learning

OR · On-site +1

Bachelor's degree in Computer Science, Engineering, or a related field (advanced degree preferred) * 6+ years of experience building and deploying production machine learning models * Demonstrated ...

SOSi

Senior Data Scientist

OR · Remote

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

SOSi

Senior Data Scientist

Myrtle Point, OR

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

SOSi

Senior Data Scientist

OR · On-site +1

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) years of equivalent experience in AI/ML model development and deployment. * Personnel must have ...

phData

Machine Learning Principal Solutions Architect

OR · On-site +1

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role ... Translate business and data science requirements into scalable, secure, and resilient architectures ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

Translate cutting-edge research advances into practical, high-impact production systems ... Bachelor's degree in Computer Science, Mathematics, or a related field; Master's or Ph.D. strongly ...

Concora Credit Inc.

Data Scientist

Beaverton, OR

As a Data Scientist, your primary role will be to develop custom fraud detection, credit risk ... You will leverage the latest machine learning techniques, and technology to optimize underwriting ...

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Showing results 41-60

All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in Oregon

Climate Research Scientist Machine Learning information

What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Oregon?

For Climate Research Scientist Machine Learning jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Climate Research Scientist Machine Learning jobs in Oregon look for?

The top searched job categories for Climate Research Scientist Machine Learning jobs in Oregon are:

What cities in Oregon are hiring for Climate Research Scientist Machine Learning jobs?

Cities in Oregon with the most Climate Research Scientist Machine Learning job openings:

Climate Research Scientist Machine Learning jobs near you
Infographic showing various Climate Research Scientist Machine Learning job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Applied Scientist

Upstart

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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 Unsecured Underwriting Machine Learning team develops and improves the models that inform credit decisions for our unsecured lending products. The team conducts machine learning research, evaluates model performance, and partners closely with engineering teams to translate promising ideas into scalable  model improvements.

As an Applied Scientist, you will research and implement enhancements to Upstart's core unsecured underwriting model. Your work will directly influence credit decisioning and help the team increase the pace of research while maintaining the rigor, reliability, and responsible oversight required of production underwriting models.

As an Applied Scientist in the Unsecured Underwriting Machine Learning team at Upstart, you will:

  • Research machine learning and statistical approaches that improve the predictive performance of unsecured underwriting models.
  • Design, implement, and evaluate model enhancements using rigorous experimentation and validation methods.
  • Analyze model performance and downstream effects to confirm that proposed changes improve decisioning reliably.
  • Partner with various engineering teams to support technical reviews, implementation, and deployment.
  • Translate research findings into clear recommendations, documented methodologies, and production-ready solutions.

Minimum Qualifications 

  • Graduate degree in mathematics, applied mathematics, statistics, physics, econometrics, operations research, computer science, or a related quantitative field.
  • 0-2 years of experience conducting machine learning, statistical modeling, or applied quantitative research in an academic or industry setting.
  • Experience developing and evaluating machine learning or statistical models using Python.
  • Demonstrated knowledge of probability, statistics, and machine learning methods.
  • Experience designing experiments or validation analyses to assess model accuracy, reliability, or predictive performance.

Preferred Qualifications

  • PhD in a quantitative field.
  • Knowledge of supervised learning, model evaluation, and feature engineering techniques.
  • Experience working with large or complex datasets and translating research concepts into implemented solutions.
  • Ability to balance research velocity with analytical rigor, model reliability, and responsible decision-making.
  • Strong written and verbal communication skills, with the ability to clearly explain technical concepts and collaborate effectively with cross-functional teams and stakeholders from diverse backgrounds.

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 or Canada (outside of Quebec) but are expected to spend high quality time in-person collaborating via regular onsites and in-person meetings. The onsite cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

What you'll love: 

  • Competitive Compensation (base + bonus & equity)
  • Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 
  • 401(k) with 100% company match up to $4,500 and immediate vesting and after-tax savings
  • Employee Stock Purchase Plan (ESPP)
  • Life and disability insurance
  • Generous holiday, vacation, sick and safety leave  
  • Supportive parental, family care, and military leave programs
  • Annual wellness, technology & ergonomic reimbursement programs
  • Social activities including team events and onsites, all-company updates, employee resource groups (ERGs), and other interest groups such as book clubs, fitness, investing, and volunteering
  • Catered lunches + snacks & drinks when working in offices

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#LI-Associate 

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