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World Learning Jobs in Oregon (NOW HIRING)

Bespoke Labs

Machine Learning Engineer

Gresham, OR

... makes world-scale RL training possible. This is a high-ownership role; you will be building novel ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Bespoke Labs

Machine Learning Engineer

Gresham, OR · On-site

... makes world-scale RL training possible. This is a high-ownership role; you will be building novel ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Natera

OR

We are seeking a Staff Machine Learning Scientist - Translational AI to provide technical ... Validate model outputs against multi-omic benchmarks and real-world outcomes, ensuring model ...

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Instacart

We're transforming the grocery industry At Instacart, we invite the world to share love through ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

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Showing results 41-60

All JobsWorld Learning JobsWorld Learning Jobs in Oregon

World Learning information

See Oregon salary details

$28

$43

$73

How much do world learning jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for world learning in Oregon is $43.03, according to ZipRecruiter salary data. Most workers in this role earn between $31.25 and $55.91 per hour, depending on experience, location, and employer.

What is the difference between World Learning vs Education Coordinator?

AspectWorld LearningEducation Coordinator
Required CredentialsBachelor's degree, experience in international education or developmentBachelor's degree, experience in education program management
Work EnvironmentNonprofit organizations, international settings, educational programsSchools, educational institutions, nonprofit organizations
Employer & IndustryGlobal NGOs, educational nonprofitsSchools, educational agencies, nonprofits
Common Search & ComparisonWorld Learning vs Education Coordinator

While both roles involve educational program management, World Learning typically focuses on international development and global education initiatives within nonprofit organizations. Education Coordinators often work within local schools or educational institutions, managing programs and curricula. Understanding these differences helps job seekers identify roles aligned with their experience and career goals.

What are popular job titles related to World Learning jobs in Oregon? For World Learning jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching World Learning jobs in Oregon look for? The top searched job categories for World Learning jobs in Oregon are:
What cities in Oregon are hiring for World Learning jobs? Cities in Oregon with the most World Learning job openings:
World Learning jobs near you
Infographic showing various World Learning job openings in Oregon as of July 2026, with employment types broken down into 78% Full Time, 16% Part Time, 5% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $89,498 per year, or $43 per hour.

Machine Learning Engineer

Bespoke Labs

Gresham, OR

Full-time

Re-posted 21 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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