Senior Data Scientist
3 days ago
We are searching for an exceptional Machine Learning Engineer to join our dynamic team at Cognitive Space, a pioneering venture-backed software company driving AI innovation in space mission planning and satellite communications. Our proprietary AI Cognition Engine powers the CNTIENT-Optimize product, boasting successful deployments in commercial and defense applications.
About the JobThis pivotal role demands expertise in developing and deploying advanced machine learning algorithms and models to enhance our CNTIENT-Optimize automated scheduling solution. You will design, train, and deploy GNN models to analyze complex data, ensure predictive accuracy, and unearth hidden patterns in large datasets while adhering to operational specifications.
- Design and develop GNN models to analyze complex data, enhance predictive accuracy, and uncover hidden patterns.
- Implement data fusion algorithms to integrate information from multiple sources, ensuring real-time situational awareness.
- Containerize decision-making algorithms and capabilities for on-edge deployment.
- Collaborate with cross-functional teams to identify and prioritize AI/ML applications addressing key milestones and requirements.
Your accomplishments will be gauged by your ability to design, develop, and deploy impactful machine learning solutions that drive business results. If you have a passion for graph neural networks, managing complex data sets, and data fusion methodologies, we invite you to apply for this transformative opportunity.
Qualifications- US Citizenship or Permanent Resident (Green Card).
- Bachelor's, Master's degree, or Ph.D. in a relevant field: Statistics, Applied Mathematics, Operations Research, Computational Physics, Computer Science, Engineering, etc.
- 2-5 years of professional experience as a Machine Learning Engineer, AI Engineer, Applied Scientist, or similar role.
- Thorough understanding of numerical methods, probability, and statistics.
- Experience with Python, Rust, and data science tools like Numpy and Pandas.
- In-depth knowledge of machine learning frameworks, including TensorFlow, PyTorch, and Keras.
- Ability to convey intricate data in a clear and practical manner.
We provide a competitive compensation package, including an estimated salary of $130,000 - $170,000 based on industry standards and location. Additional benefits comprise flexible time-off policy, cost-effective healthcare, 401k matching plan, life insurance, short-term, and long-term disability coverage. We evaluate each candidate's qualifications and experience to determine their actual level and base salary.
Cognitive Space strives to deliver cutting-edge, adaptable, and resilient network management solutions meeting the stringent needs of our commercial and government clients. As an equal opportunity employer, we welcome applications from qualified candidates sharing our enthusiasm for AI innovations.
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