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Machine Learning Engineer Full Time Jobs in Remote, OR

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Desirable but not required certifications include Google Professional Machine Learning Engineer ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Desirable but not required certifications include Google Professional Machine Learning Engineer ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... Desirable but not required certifications include Google Professional Machine Learning Engineer ...

AI Engineer

OR · On-site +1

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

AI Engineer

OR · Remote

Machine Learning * FastAPI * Azure AI Studio * Azure DevOps * Docker * Kubernetes * SQL * Git ... REST APIs * Vector Databases Clearance:S. Citizenship is requiredas is successfully passing a ...

Experience with Azure AI Studio, Azure Machine Learning, vector databases, and prompt engineering ... Knowledge of NIST AI Risk Management Framework, Responsible AI, and Federal AI governance.

Data Scientist

OR · On-site +1

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ...

Data Scientist

OR · On-site

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ...

... Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure ... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ...

Senior Controls Engineer

OR · Remote

$99K - $131K/yr

... industrial machine control development and troubleshooting * You have strong leadership ... This is a full-time, exempt position with a hybrid work schedule for individuals located within ...

Partner with Product, Finance, Engineering, and Executive leaders to identify opportunities for ... Experience working with AI and machine learning platforms, including large language models and ...

Remote / Work from Home (India) Employment Type: Full-Time Working Days: 5 Days a Week Working ... Structured Learning and Development Programs * Career Growth Opportunities * Collaborative and ...

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Showing results 1-20

Machine Learning Engineer Full Time information

See Remote, OR salary details

$31.5K

$128.6K

$193.3K

How much do machine learning engineer full time jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer full time in Remote, OR is $128,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $154,800.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Machine Learning Engineer jobs in Remote, OR?

The most popular types of Machine Learning Engineer jobs in Remote, OR are:

Infographic showing various Machine Learning Engineer Full Time job openings in Remote, OR as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $128,642 per year, or $61.8 per hour.

Senior Data Scientist

OR • On-site, Remote

Full-time

Re-posted 25 days ago


Key responsibilities

  • Design and implement advanced machine learning models and statistical methods to support forecasting, risk assessment, and decision-making processes.

  • Conduct data provenance tracking, documenting sources, transformations, and lineage for compliance and reporting purposes.

  • Implement sprint-based Agile methodologies to ensure rapid development, backlog management, and alignment with mission requirements.


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.