Pioneering And Inventive Spirit Jobs in Remote

489,740 open positions · Updated daily

Looking for Pioneering And Inventive Spirit jobs in Remote? Browse our curated listings with transparent salary information to find the perfect Pioneering And Inventive Spirit position in the Remote area.

RN - Clinical Quality Analyst

Company: Oscar Health

Location: Abilene, TX / Remote

Posted Feb 08, 2025

Energy and Utility Senior Manager

Company: Equinix, Inc

Location: Singapore / Remote

Posted Feb 08, 2025

SVP & Head of Network

Company: GoodRx

Location: San Francisco, CA / Remote

Posted Feb 08, 2025

SEO Marketing Intern, 2025 Summer U.S.

Company: Atlassian

Location: San Francisco, CA / Remote

Posted Feb 08, 2025

Gas Power Packaging Engineer

Company: GE Vernova

Location: Greenville, SC / Remote

Posted Feb 08, 2025

Frequently Asked Questions

What are typical salary ranges by seniority?
Junior Research Engineer: $80k–$100k; Mid‑level: $110k–$140k; Senior: $150k–$190k; Lead Engineer: $190k–$230k; Director of Innovation: $230k–$280k.
Which skills and certifications are required?
Proficiency in Python, TensorFlow, PyTorch, Git, LabVIEW, SolidWorks, MATLAB; certifications such as AWS Certified Machine Learning, Google Cloud ML Engineer, PMP, Six Sigma Green Belt.
Is remote work available for these roles?
Many positions offer hybrid or fully remote arrangements, especially research and strategy roles. Lab‑centric roles may require on‑site presence for equipment access, but remote collaboration tools enable distributed teams.
What career progression paths exist?
Typical trajectory: Research Engineer → Lead Engineer → R&D Manager → VP of Innovation → Chief Innovation Officer. Each step adds strategic oversight, IP ownership, and cross‑functional leadership responsibilities.
What industry trends influence Pioneering & Inventive Spirit jobs?
Key trends include AI ethics frameworks, quantum‑enabled drug discovery, sustainable materials engineering, open‑source hardware ecosystems, rapid 3D‑printing prototyping, and digital twin modeling for product life‑cycle optimization.

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