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Tensorflow Jobs in Oregon (NOW HIRING)

Particle41

AI Engineer

OR · On-site +1

Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph). * Experience with vector databases (e.g., Pinecone, FAISS ...

Anno.ai

Senior Machine Learning Engineer

OR · On-site +1

$104K - $143K/yr

Strong proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow) * Hands-on experience with MLOps frameworks and workflow tooling (e.g., MLflow ...

Nvidia

Senior Solutions Architect, Gen AI

OR · On-site +1

... TensorFlow, PyTorch, or Hugging Face Transformers. Solid understanding of GPU cluster architecture and the ability to bring to bear parallel processing for accelerated model training and inference.

EnCharge AI

Principal Solutions Engineer

OR · On-site +1

$200K - $250K/yr

Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, ONNX Runtime, or similar, as well as AI inference optimization and model deployment. * Strong understanding of AI workloads ...

New Jersey Institute of Technology

$35.71/hr

Familiarity with AI/ML frameworks such as Python, scikit-learn, TensorFlow, or equivalent tools applied to chemical sensor data. * Experience developing portable or field-deployable analytical ...

ApplyMint

Software Engineer

Hillsboro, OR · On-site

$96 - $182/hr

Experience with machine learning systems, including model training, evaluation, inference, and use of frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Experience deploying AI/ML services ...

Attain Talent

Lead AI/ML Engineer

OR · On-site +1

$180K - $230K/yr

Experience with machine learning frameworks such as TensorFlow or PyTorch . * Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights & Biases, or ...

OneStudyTeam

Senior Machine Learning Engineer

OR · On-site +1

$140K - $190K/yr

Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries ...

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All JobsTensorflow JobsTensorflow Jobs in Oregon

Tensorflow information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do tensorflow jobs pay per year?

As of Sep 7, 2026, the average yearly pay for tensorflow in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What does a TensorFlow developer do?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the TensorFlow position?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the most commonly searched types of Tensorflow jobs in Oregon?

The most popular types of Tensorflow jobs in Oregon are:

What are popular job titles related to Tensorflow jobs in Oregon?

For Tensorflow jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Tensorflow jobs in Oregon look for?

The top searched job categories for Tensorflow jobs in Oregon are:

What cities in Oregon are hiring for Tensorflow jobs?

Cities in Oregon with the most Tensorflow job openings:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Oregon as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

AI Engineer

Particle41

OR • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

AI Engineer

Role Overview:

As an AI Engineer at Particle41 you will design, develop and deploy machine-learning and deep-learning models/solutions (including generative-AI) that address complex business problems. You will collaborate with data scientists, data engineers, software engineers and client stakeholders. You will also build scalable pipelines, ensure production readiness, monitor performance and iterate proactively.

In This Role, You Will:

  • Lead end-to-end development of AI/ML models: from data ingestion & preprocessing to model training, evaluation, deployment and monitoring.
  • Build generative-AI solutions (RAG, Agentic Workflows, MCP Servers, Conversation AI Agents) aligned with business goals.
  • Work closely with data engineering teams to build/maintain data pipelines, feature stores and orchestration frameworks.
  • Develop and integrate AI models into production systems (APIs, microservices, cloud deployments).
  • Optimize models/solutions for performance, scalability, robustness and cost-efficiency.
  • Monitor models/ solutions' performance in production (drift, bias, fairness, reliability) and implement remediation.
  • Document model design, experiments, data provenance and solution rationale.
  • Stay abreast of latest AI/ML research, frameworks, tools (e.g. LangChain, LangGraph, MCP Clients/Servers, Agents SDKs, LiveKit etc.) and propose innovative ideas.
  • Work directly with clients to understand problem statements, translate business requirements into AI solutions, and clearly communicate results.

Skills and Experience We Value:

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
  • 3+ years of hands-on experience in AI/ML model development and deployment.
  • Strong programming skills in Python and experience with major ML/AI frameworks (TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph).
  • Experience with vector databases (e.g., Pinecone, FAISS), RAG and Agentic workflows.
  • Experience building or fine-tuning Large Language Models (LLMs).
  • Experience deploying models into production: building REST APIs, microservices and monitoring.
  • Familiarity with Text-to-Speech and Speech-to-Text models/solutions like Deepgram, ElevenLabs, Cartesia etc.
  • Experience in computer vision, time-series modelling (ARIMA, Prophet) or multimodal AI.
  • Familiarity with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker).
  • Strong understanding of algorithms, data structures, statistics, and machine-learning fundamentals (classification, regression, clustering, deep learning, sequence models).
  • Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
  • Publications, open-source contributions, or personal projects in the AI/ML domain

About Particle41

Our core values of Empowering, Leadership, Innovation, Teamwork, and Excellence drive everything we do to achieve the ultimate outcomes for our clients. Empowering Leadership for Innovation in Teamwork with Excellence ( ELITE )

E - Empowering: Enabling individuals to reach their full potential. L - Leadership: Taking initiative and guiding each other toward success. I - Innovation: Embracing creativity and new ideas to stay ahead. T - Teamwork: Collaborating with empathy to achieve common goals. E - Excellence: Striving for the highest quality in everything we do.

We seek team members who embody these values and are committed to contributing to our mission. Particle41 welcomes individuals from all backgrounds who are committed to our mission and values. We provide equal employment opportunities to all employees and applicants, ensuring that hiring and employment decisions are based on merit and qualifications without discrimination based on race, color, religion, caste, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, local, or international laws. This policy applies to all aspects of employment and hiring. 

We appreciate your interest and encourage applicants from these regions to apply. If you need any assistance during the application or interview process, please feel free to reach out to us at careers@Particle41.com.

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