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Remote Tensorflow Developer Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

OR · On-site +1

Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested individuals will receive ...

Gnostech LLC

Software Engineer (US-Remote)

OR · On-site +1

Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product ... Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain ... PyTorch or TensorFlow, Jupyter, pandas, NumPy, and Matplotlib * Experience using AI-assisted ...

Hitachi

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Collaborate with domain experts (engineering, operations) to translate failure patterns into ML ...

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 ... Remote Work (Hybrid roles will be specified in the job post) * Competitive Compensation Package

Upstart

Staff/Principal Machine Learning Engineer

OR · On-site +1

Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost ... Remote-US Time zone requirements The team operates on the East/West coast time zones. Travel ...

Intel

Senior AI Algorithm Engineer in oneDNN

Hillsboro, OR · On-site +1

$195K - $275K/yr

... TensorFlow, PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the ... Enjoy a safe, flexible, and supportive work environment-remote or onsite-focused on employee ...

Cresta

Staff Machine Learning Engineer

OR · On-site +1

Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Cresta

Senior Machine Learning Engineer

OR · On-site +1

$205K - $270K/yr

Strong knowledge of modern ML frameworks and tools (e.g., PyTorch, TensorFlow, Hugging Face) and ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

All JobsTensorflow Developer JobsRemote Tensorflow Developer JobsRemote Tensorflow Developer Jobs in Oregon

Remote Tensorflow Developer information

See Oregon salary details

$18

$55

$86

How much do remote tensorflow developer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote tensorflow developer in Oregon is $55.87, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $68.37 per hour, depending on experience, location, and employer.

What is a remote Tensorflow developer?

A Remote TensorFlow Developer job involves designing, implementing, and optimizing machine learning models using TensorFlow while working from a remote location. Developers in this role typically collaborate with data scientists, engineers, and product teams to build AI-driven applications and improve model performance. Responsibilities may include data preprocessing, model training, deployment, and fine-tuning for scalability and efficiency. Strong knowledge of deep learning, neural networks, and cloud platforms is often required.

What are some typical challenges faced by remote Tensorflow developers, and how are these addressed?

Remote Tensorflow Developers often face challenges such as collaborating across different time zones, managing large datasets, and keeping up with rapidly changing machine learning technologies. These challenges are typically addressed through robust communication tools (like Slack or Zoom), using version control systems for code collaboration, and adopting efficient cloud-based workflows for data and model sharing. Teams may also conduct regular virtual stand-ups and knowledge-sharing sessions to stay aligned on projects and share learnings. Engaging in continuous learning and attending online workshops or conferences also helps remote developers stay updated and effective in their roles.

What are the key skills and qualifications needed to thrive as a remote Tensorflow developer, and why are they important?

To thrive as a Remote Tensorflow Developer, you need deep knowledge of machine learning concepts, strong proficiency in Python programming, and hands-on experience with Tensorflow framework. Experience with cloud platforms (such as AWS, GCP, or Azure), model deployment, and relevant Tensorflow Developer certification are highly valuable. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help developers stand out. These qualities are crucial for building robust machine learning solutions, efficiently collaborating with distributed teams, and delivering high-impact results in a remote setting.

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

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

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

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

What cities in Oregon are hiring for Remote Tensorflow Developer jobs?

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Remote Tensorflow Developer jobs near you

Senior Data Scientist

OR • On-site, Remote

SOSi
See more jobs at SOSiexternal

Full-time

Re-posted 11 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • 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 demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

Apply