Stellar Science Ltd Co
Overview
AI/ML Developer
role at
Stellar Science Ltd Co .
Stellar Science is a growing Albuquerque-based scientific software development company seeking talented data science AI/ML software development experts who are interested in helping create, extend, and apply exciting scientific and engineering analysis applications. We develop custom software products in domains that include computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, computational electromagnetics (CEM), space situational awareness (SSA), high performance computing (HPC), and computer aided design (CAD) tools, among others. Our projects employ AI/ML methods and techniques such as surrogate modeling, deep learning, classification, and generative models.
A
Stellar Science AI/ML Developer
will help to develop novel AI/ML models and use AI/ML in your data analysis to help us gain new insights into experimental and simulation-based datasets by applying innovative processing, and visualization techniques. Your goal will be to help optimize performance, accuracy, and utility of modeling and simulation systems.
Responsibilities
Develop novel AI/ML models and apply AI/ML in data analysis to gain insights from experimental and simulation-based datasets, including processing and visualization techniques.
Help optimize performance, accuracy, and utility of modeling and simulation systems.
Minimum Requirements
B.S. in ML/AI related field such as computer science, data science, statistics, applied mathematics, physics, engineering
Knowledge of a variety of machine learning applications (such as clustering, classification, regression) and concepts (such as graph theory, decision trees, and neural networks), and their real-world advantages/drawbacks
Experience with Python and related data science libraries (such as pandas, NumPy, SciPy, and scikit-learn)
Experience with C++ development for integration into statistical and/or machine learning applications beyond academic examples
Experience writing programs or scripts to manipulate data and draw insights from large data sets
Experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow
Strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms, and creating/running simulations
MS or PhD in Data Science or other quantitative, scientific, or engineering field, with substantial scientific analysis experience
2+ years of post-doctoral or industry experience as a Data Scientist or Data Analyst
Experience in one or more of the following: time series analysis (e.g., Kalman filtering), reinforcement learning (e.g., Proximal Policy Optimization), instance detection (e.g., Mask-RCNN), robust principal component analysis, and/or physics-informed neural networks
Experience working within a software production environment involving C, C++, Java, and/or TypeScript
Excellent written and verbal communication skills for coordinating across teams
Experience running simulation and analysis processes on scalable computing architectures including clusters, cloud-based services, or supercomputers
Experience with version control (such as Git or SVN)
Additional Requirements
Code sample or coding evaluation required.
US citizenship required + willingness to undergo a background investigation.
Active Security Clearance is a plus.
Extremely flexible work schedule, hybrid workplace model, and generous benefits.
Positions are in or near: Albuquerque, NM, Dayton, OH, or Tysons Corner, VA (Washington DC area).
Location Albuquerque, NM; Dayton, OH; Tysons Corner, VA (Washington DC area).
Seniority level
Entry level
Employment type
Full-time
Job function
Sales, General Business, and Education
Industries
Wireless Services
Telecommunications
Communications Equipment Manufacturing
Note: We are not including boilerplate referral prompts or unrelated job postings in this refined description.
#J-18808-Ljbffr
role at
Stellar Science Ltd Co .
Stellar Science is a growing Albuquerque-based scientific software development company seeking talented data science AI/ML software development experts who are interested in helping create, extend, and apply exciting scientific and engineering analysis applications. We develop custom software products in domains that include computer vision and image processing, image simulation, high power microwave systems modeling and simulation, laser source generation and effects modeling, computational electromagnetics (CEM), space situational awareness (SSA), high performance computing (HPC), and computer aided design (CAD) tools, among others. Our projects employ AI/ML methods and techniques such as surrogate modeling, deep learning, classification, and generative models.
A
Stellar Science AI/ML Developer
will help to develop novel AI/ML models and use AI/ML in your data analysis to help us gain new insights into experimental and simulation-based datasets by applying innovative processing, and visualization techniques. Your goal will be to help optimize performance, accuracy, and utility of modeling and simulation systems.
Responsibilities
Develop novel AI/ML models and apply AI/ML in data analysis to gain insights from experimental and simulation-based datasets, including processing and visualization techniques.
Help optimize performance, accuracy, and utility of modeling and simulation systems.
Minimum Requirements
B.S. in ML/AI related field such as computer science, data science, statistics, applied mathematics, physics, engineering
Knowledge of a variety of machine learning applications (such as clustering, classification, regression) and concepts (such as graph theory, decision trees, and neural networks), and their real-world advantages/drawbacks
Experience with Python and related data science libraries (such as pandas, NumPy, SciPy, and scikit-learn)
Experience with C++ development for integration into statistical and/or machine learning applications beyond academic examples
Experience writing programs or scripts to manipulate data and draw insights from large data sets
Experience with machine learning and deep learning frameworks such as PyTorch and TensorFlow
Strong experience using a variety of data mining/data analysis methods, building and implementing models, using/creating algorithms, and creating/running simulations
MS or PhD in Data Science or other quantitative, scientific, or engineering field, with substantial scientific analysis experience
2+ years of post-doctoral or industry experience as a Data Scientist or Data Analyst
Experience in one or more of the following: time series analysis (e.g., Kalman filtering), reinforcement learning (e.g., Proximal Policy Optimization), instance detection (e.g., Mask-RCNN), robust principal component analysis, and/or physics-informed neural networks
Experience working within a software production environment involving C, C++, Java, and/or TypeScript
Excellent written and verbal communication skills for coordinating across teams
Experience running simulation and analysis processes on scalable computing architectures including clusters, cloud-based services, or supercomputers
Experience with version control (such as Git or SVN)
Additional Requirements
Code sample or coding evaluation required.
US citizenship required + willingness to undergo a background investigation.
Active Security Clearance is a plus.
Extremely flexible work schedule, hybrid workplace model, and generous benefits.
Positions are in or near: Albuquerque, NM, Dayton, OH, or Tysons Corner, VA (Washington DC area).
Location Albuquerque, NM; Dayton, OH; Tysons Corner, VA (Washington DC area).
Seniority level
Entry level
Employment type
Full-time
Job function
Sales, General Business, and Education
Industries
Wireless Services
Telecommunications
Communications Equipment Manufacturing
Note: We are not including boilerplate referral prompts or unrelated job postings in this refined description.
#J-18808-Ljbffr