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Startup Machine Learning Remote Jobs in Oregon (NOW HIRING)

SOSi

Senior Data Scientist

OR · On-site +1

... Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification. Additional Information Work Environment * Full remote flexibility. Working at ...

GuideMe

PHP Web Developer

Portland, OR · On-site +1

... small startup team that is rethinking and improving the experience of local discovery. We are ... machine learning a plus - Ability to have fun and work hard required.

Deckers

Sr. Manager, Data & ML Engineering

OR · Remote

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Upstart

Senior Software Engineer, Home Lending

OR · On-site +1

$122K - $161K/yr

... and Machine Learning, Servicing, and Operations. How you'll make an impact Build and improve ... Remote Travel requirements As a digital first company, the majority of your work can be ...

Upstart

Software Engineer, Distribution Platform

OR · On-site +1

You will work closely with cross-functional counterparts in Analytics, Marketing, Machine Learning ... Remote Travel requirements As a digital first company, the majority of your work can be ...

NAVEX

Senior Product Manager, AI

Lake Oswego, OR · On-site +1

$130K/yr

Analyze data pipelines, machine learning algorithms, and automated systems. Utilize AI techniques ... Experience in leading remote or geographically dispersed AI teams * High tolerance for ambiguity ...

Findem

Principal Product Manager

OR · On-site +1

$200K - $210K/yr

We're a fast-growth startup with an ambitious vision and the technology to back it up ... Our People Intelligence platform uses true AI and machine learning to provide critical solutions ...

Upstart

Credit Risk Manager

OR · On-site +1

Partner with Machine Learning, Product, Risk, and Bank leadership teams to evaluate portfolio ... Remote (United States) Time zone requirements The team operates on the East/West coast time zones.

SOSi

Data Scientist

OR · On-site +1

... in machine learning and predictive modeling. * Proposed personnel possess the knowledge and ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... This role focuses on applying machine learning, generative AI, and advanced data engineering ...

Near AI

LLM Inference Engineer

OR · On-site +1

San Francisco or Remote About The Role The NEAR AI team is building decentralized and confidential machine learning infrastructure to enable user-owned AI. Our mission is to build highly scalable and ...

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Startup Machine Learning Remote information

What are the key skills and qualifications needed to thrive as a Startup Machine Learning Engineer in a remote setting, and why are they important?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are remote startup machine learning jobs?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What are some unique challenges faced by machine learning professionals working remotely at a startup?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.
What are popular job titles related to Startup Machine Learning Remote jobs in Oregon? For Startup Machine Learning Remote jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Startup Machine Learning Remote jobs in Oregon look for? The top searched job categories for Startup Machine Learning Remote jobs in Oregon are:
What cities in Oregon are hiring for Startup Machine Learning Remote jobs? Cities in Oregon with the most Startup Machine Learning Remote job openings:
Startup Machine Learning Remote jobs near you
Senior Data Scientist

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 24 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