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E Learning Developer Jobs in Oregon (NOW HIRING)

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... e.g., Bayesian networks, structural causal models) Experience building or working with knowledge ...

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... e.g., Bayesian networks, structural causal models) • Experience building or working with ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... e.g., Bayesian networks, structural causal models) • Experience building or working with ...

phData

OR

You will collaborate closely with clients, data scientists, data engineers, platform/DevOps teams ... Production experience in core data technologies and platforms (e.g., Spark, HDFS, Snowflake ...

Nvidia

OR · Hybrid

$122.40K - $161.30K/yr

Experience with DL frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX) and inference libraries (e.g ... Proficiency in one of the deep learning programming domain specific languages (e.g. CUDA/TileIR ...

Nvidia

OR

$139.90K/yr

Experience with DL frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX) and inference libraries (e.g ... Proficiency in one of the deep learning programming domain specific languages (e.g. CUDA/TileIR ...

Autodesk

Senior Machine Learning Test Engineer

OR · On-site +1

$110.40K - $143.40K/yr

You are a quality-focused developer who is passionate about reliable, repeatable evaluation of ML ... Automate ML QA workflows using Python and CI/CD (e.g., GitHub Actions, Jenkins) * Create and ...

Automation Anywhere, Inc.

OR

... Machine Learning Engineer to help power the next generation of AI-driven digital agents ... Experience with cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform) for ...

Quantiphi, Inc.

OR

$114.40K - $137.40K/yr

We are looking for a Machine Learning Engineer with strong expertise in Google Cloud AI tools, ML ... Proficiency in Python and ML libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Instacart

OR · On-site

Building LLM-based evaluation frameworks (e.g., LLM-as-a-Judge , self-critique) to improve the ... Strong programming (Python, Golang) and algorithmic skills. * Solid foundations in machine learning ...

Upstart

OR

As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and ... Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost)

phData

OR

You will collaborate closely with clients, Sales, data scientists, ML engineers, and platform teams ... e.g., AWS, Databricks, Cloudera). * Proven experience deploying machine learning models into ...

Zillow

Principal Machine Learning Engineer, Agentic AI

OR · On-site +1

$204.40K - $326.60K/yr

Who you are As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done engineer who can marry state-of-the-art technology (i.e., LLM models, either from OpenAI or open ...

Quantiphi, Inc.

OR

$122.40K - $161.30K/yr

Senior Machine Learning Engineer Experience Level: 4+ years Work Location: Dallas, TX Employment ... Implement sophisticated prompt engineering strategies (e.g., Chain of Thought, Few-Shot, RAG) to ...

Nvidia

OR

Create impactful and relevant content (e.g., demos, blogs, presentations, videos, etc.) and engage ... Strong programming skills with the ability to develop easy-to-understand examples on training ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Experience with functional programming (e.g. Clojure) is a plus but not required. * Cloud and MLOps ... Strong understanding of machine learning fundamentals (model selection, training, evaluation ...

Workiva, Inc.

Staff Machine Learning Engineer

OR · On-site +1

Join our team at Workiva as a Staff Machine Learning Engineer! As a pivotal member of our Machine ... e.g., Security, Architecture) What You'll Need Required Qualifications * Bachelor's degree in ...

Nvidia

OR

$122.40K - $161.30K/yr

We are looking for a motivated Deep Learning engineer to bring advanced CUDA features and ... Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)

Instacart

OR

$104.40K - $143.40K/yr

We are looking for a Senior Staff Machine Learning Engineer to help lead this transformation. In ... Background working on e-commerce, marketplaces, or large consumer platforms. * Recognized technical ...

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How much do e learning developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for e learning developer in Oregon is $40.64, according to ZipRecruiter salary data. Most workers in this role earn between $34.57 and $45.24 per hour, depending on experience, location, and employer.

What is an E-Learning Developer job?

An E-Learning Developer is responsible for designing, developing, and implementing online learning materials and courses. They use instructional design principles, multimedia tools, and e-learning software to create engaging and interactive content. Their role often involves collaborating with subject matter experts, graphic designers, and other stakeholders to ensure effective learning experiences. Additionally, they may be responsible for maintaining and updating e-learning content to keep it relevant and accessible.

What are the key skills and qualifications needed to thrive in the E Learning Developer position, and why are they important?

To thrive as an E Learning Developer, you need expertise in instructional design, multimedia creation, and a solid understanding of adult learning principles, typically supported by a relevant degree like instructional technology or education. Familiarity with Learning Management Systems (LMS) such as Moodle or Canvas, authoring tools like Articulate Storyline or Adobe Captivate, and experience with SCORM or xAPI standards are highly valuable. Strong project management, creative problem-solving, and effective communication skills help you collaborate and translate complex subjects into engaging online content. These competencies are critical for creating high-quality, impactful learning experiences that meet organizational and learner goals.

What are some common challenges E Learning Developers face in this role?

E Learning Developers often encounter challenges such as adapting content to suit diverse learners, ensuring accessibility compliance, and keeping up with rapidly evolving educational technologies. They may need to collaborate closely with subject matter experts who have varying levels of familiarity with digital tools, making clear communication essential. Managing tight project deadlines while maintaining high engagement and interactivity standards can also be demanding. However, overcoming these common challenges can be highly rewarding, as it directly contributes to the effectiveness and reach of educational programs.
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What cities in Oregon are hiring for E Learning Developer jobs? Cities in Oregon with the most E Learning Developer job openings:
E Learning Developer jobs near you

Machine Learning Engineer

Chabez Tech

Portland, OR

Contractor

Posted 5 days ago

Job description

Job Description

Job Title: Machine Learning Engineer
Location: Portland, OR - Onsite (Local only / F2F interview)
Duration: 24 Months Contract

Experience Level: 5+ years of experience

Required Qualifications
    Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field 
    5+ years of experience in machine learning, data science, or AI engineering 
    Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) 
    Experience with time-series data analysis and anomaly detection 
    Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models) 
    Experience building or working with knowledge graphs (Neo4j, RDF, graph databases) 
    Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis) 
    Experience deploying ML models in production systems 
    Strong problem-solving skills and ability to work with complex, real-world datasets

Preferred Qualifications
    Experience with fault tree analysis (FTA), reliability engineering, or failure analysis 
    Background in industrial systems, semiconductors, manufacturing, or IoT environments 
    Experience with graph-based ML / Graph Neural Networks (GNNs) 
    Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams) 
    Experience with vector databases, RAG systems, or LLM-based reasoning 
    Knowledge of MLOps practices (CI/CD, monitoring, model governance) 
    Experience working in air-gapped or high-security environments 
 

Additional Information

All your information will be kept confidential according to EEO guidelines.

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