Machine Learning Engineer

Rebel Space Technologies is seeking a talented and experienced Machine Learning Engineer to join our team.

Machine Learning Engineer:

At Rebel Space, our mission is to protect critical space infrastructure through enhanced observability and space system cybersecurity. We believe that as space infrastructure expands, it will be increasingly difficult to secure and monitor these systems against critical failures or evolving cyber threats. To address this, we are building software that empowers developers and operators to rigorously evaluate and secure their systems from conception through to operations.

Our technology supercharges space infrastructure, ensuring resilience against evolving threats in an increasingly complex environment. Join us in pioneering the next generation of space system security.

As a Machine Learning Engineer at Rebel Space, you will work with our engineering team to develop high quality prototypes by applying research, design, and engineering best practices.

This position is ideal for someone who thrives in dynamic, fast-paced R&D environments, is comfortable building systems from the ground up, and has a bias toward elegant, performant, and reliable code.

• Define and own system-wide data architecture that integrates data components across the Rebel Space autonomy stack for enhanced analysis and insights.

• Research, prototype, and survey different ML architecture and workflow optimization techniques

• Develop proofs-of-concept of customized optimizations that demonstrate the benefit of your optimizations on real-world models using real-world datasets.

• Develop data collections, labeling pipelines, and evaluation pipelines. Research and develop machine learning models for physical sensor systems.

• Extend existing ML libraries and frameworks.

• Create and deliver reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews.

• Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs. Effectively participate in team planning, code reviews, and design discussions.

• Bachelor's degree in Computer Science, Electrical Engineer, Physics or related technical discipline.

• 3+ years of relevant industry experience in data analytics and machine learning

• Strong expertise in scientific Python (Num Py, Sci Py, Pandas) and modern ML frameworks (PyTorch, Tensor Flow, JAX, Scikit-Learn, Keras)

• Proficiency in SQL and experience with relational or time-series databases

• Proven experience applying statistical modeling, data analysis, and inference to extract actionable insights from large and complex datasets

• Familiarity with overall big data analysis, system backend integration with new ML systems, and large-scale data processing

• Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI) to effectively communicate findings

• Excellent understanding of algorithms, data structures, and coding standards

• Strong communication and behavioral skills

• Motivated self-starter that can work autonomously and as part of a team

• PhD, Masters, or equivalent in Computer Science, Electrical Engineer, Physics or related field with 5+ years of professional experience in machine learning engineering

• Knowledge of experiment tracking, model deployment strategies, data versioning, and monitoring

• Experience with ML infrastructure tools (e.g. MLflow, Kubeflow, Airflow, feature stores, model registries)

• Prior experience with real-time data processing, prediction systems, or active learning pipelines

• Experience designing reliable software through requirements generation, continuous integration, automated testing, issue tracking, and code reviews

• Experience at early-stage startups and remote-first organizations

• Passionate about building autonomous systems

• Premium Healthcare Benefits:
  We offer comprehensive medical, dental, and vision plans at little to no cost to you.

• Stock Options:
  Own meaningful equity in Rebel Space.

• Generous PTO:
  Includes flexible vacation and company paid holidays.

• Maternity/paternity leave.

• Flexible hybrid work options.

• Opportunity to shape…