Remote Research Engineer

Description

Remote Research Engineer

🔍 Position Overview

Join a future-focused team shaping the edge of innovation. As a Remote Research Engineer, you will dive deep into challenging problems, contributing to pioneering research projects that drive real-world impact. This role blends intellectual curiosity with applied technical work, perfect for professionals who thrive in a remote-first environment where autonomy and creativity are valued.

We’re looking for someone with a strong foundation in research methodology and applied engineering—someone who enjoys exploring uncharted territory while staying grounded in rigorous execution. This position offers the flexibility to work from anywhere while contributing to projects that change industries.

You’ll be part of a collaborative environment where continuous learning and thought leadership are encouraged. You’ll explore new research areas, contribute to high-impact publications, and help develop solutions that benefit a range of sectors from AI-driven analytics to next-gen cloud infrastructure. Your insights will shape product strategy, academic outreach, and long-term innovation pipelines.

🎯 Key Responsibilities

  • Design, implement, and evaluate experimental frameworks across machine learning, software engineering, or emerging technologies
  • Collaborate with cross-disciplinary teams to translate theoretical research into applied systems or prototypes
  • Analyze results and iterate on research direction based on performance and feasibility
  • Contribute to internal knowledge bases, technical whitepapers, and publications
  • Participate in global discussions, proposing novel solutions grounded in engineering fundamentals
  • Maintain clear, structured documentation for reproducibility and peer review
  • Lead internal demos or briefings to communicate key breakthroughs and learnings

🧠 Work Environment & Culture

  • 100% remote role—designed for professionals who excel independently and communicate effectively across time zones
  • Emphasis on asynchronous collaboration to support deep work without constant interruptions
  • Transparent communication, regular check-ins, and peer knowledge-sharing
  • A culture that respects thoughtfulness, initiative, and ethical innovation
  • Encouragement of experimentation and learning through trial and error
  • Balanced autonomy with support—your work is trusted and your contributions are valued

🛠️ Tools & Technology

  • Use cutting-edge platforms like Jupyter, Git, TensorFlow, PyTorch, or custom ML libraries, depending on the project domain
  • Cloud-based infrastructure: AWS, Azure, or GCP for scalable experimentation and model deployment
  • Access to proprietary research datasets and internal sandbox environments
  • Collaborative tools like Notion, Slack, and version control via GitLab or GitHub
  • Advanced visualization and data exploration tools for interpreting research output
  • Secure, high-performance computing resources tailored to intensive simulations or model training

✅ Required Qualifications

  • Advanced degree (MS or PhD) in Computer Science, Engineering, Mathematics, or related technical field
  • Proven experience in designing and executing research-based projects, preferably in remote-first settings
  • Proficiency in Python or similar languages used in experimental or AI research
  • Strong understanding of algorithm design, data modeling, or applied machine learning
  • Familiarity with publishing academic or technical papers
  • Effective communicator—able to present complex ideas clearly in both written and verbal form
  • Comfortable working with ambiguity and proposing structured solutions to complex problems

🌍 Preferred Experience

  • Prior involvement in long-term R&D or innovation labs
  • Experience with distributed systems or multi-agent simulations
  • Background in optimization problems, robotics, or data-centric AI
  • Contribution to open-source research tools or frameworks
  • Understanding of cross-disciplinary domains like cognitive science, systems biology, or computational physics
  • Participation in global technical communities or speaking engagements

💼 Career Growth & Impact

  • Opportunity to influence next-generation technologies through hands-on innovation
  • Lead or co-lead projects that may evolve into public-facing products or open-source releases
  • Build a publication portfolio while solving real-world engineering challenges
  • Work with seasoned researchers and engineers across continents
  • Shape the direction of research agendas with measurable business or societal outcomes
  • Contribute to patent filings, strategy papers, or external partnerships

💰 Compensation & Benefits

  • Annual Salary: $116,511
  • Flexible schedule tailored for deep thinking and peak productivity hours
  • Generous paid time off and wellness support programs
  • Learning budget to support ongoing development in new research fields
  • Access to internal talks, guest speakers, and collaborative innovation sessions
  • Technology stipend and remote setup allowance for optimal work conditions
  • Peer recognition and quarterly spotlight awards for research contributions

🚀 Why You’ll Thrive Here

  • You’re intellectually curious and motivated by complex challenges
  • You prefer remote roles where trust and autonomy are prioritized
  • You care about the practical application of research and its broader impact
  • You enjoy contributing to a globally diverse, high-performance team
  • Your mindset blends academic curiosity with engineering discipline
  • You thrive in minimal hierarchy and maximum clarity environments

📩 How to Apply

Are you ready to make your mark from anywhere in the world? If you're driven by discovery, value intellectual freedom, and have the research mindset to back it up, this is your next step.

Apply now and help lead the way in remote engineering research.