As a Research Programmer at Boston Fusion, you will utilize your knowledge of software engineering best practices, machine learning fundamentals, and computer science skills to build, document, and test components on company research projects.
Due to the nature of our work, US Citizenship is required.
Day-to-Day:
Collaborate with project teams to provide technical and software design support to company research projects and provide input on technical design
Utilize knowledge of current computer science methods, algorithms, and research to design solutions that meet project requirements
Manage large-scale databases for AI/ML algorithm development and training
Train, test, and evaluate AI/ML methods for program specific goals
Troubleshoot, debug, maintain, and improve existing software with guidance from project leaders
Maintain knowledge of commercial and open-source off-the-shelf software packages, libraries, and frameworks that can be utilized in software design
Maintain knowledge of current AI/ML models and approaches
Write software tests to validate code integrity
Effectively communicate technology used, alternative technologies, and emerging technologies to project team members, project managers, and BFC staff
Occasional travel to attend and present at customer meetings and essential industry conferences
Prepare technical briefing materials/summarize technical work and progress of projects
Collaborate with company leadership and senior technical staff to conduct proposal research and proposal writing
This job is right for you if you have ( Minimum Qualifications ):
A BS or MS degree in computer science, mathematics, engineering, or related fields and 2 years experience
Experience on large-scale programming projects (may include capstone programs or internships)
Ability to develop solutions to technical problems of well-defined scope
Excellent communications, writing and presentation skills
Ability to work under minimal direction
Ability to prioritize and manage time effectively across multiple efforts
Excellent analytical and problem-solving skills
Demonstrates basic competency in one skill in every category:
Machine Learning concepts (e.g., supervised, unsupervised, active, and reinforcement learning; neural networks; generative, discriminative models)
Machine Learning Frameworks (e.g., Scikit-learn, tensorflow, Pytorch, Keras)
Software engineering principles (e.g., object-oriented programming, software design patterns, continuous integration)
Software project management (e.g., GitLab, version control tools)
Python
Desired Technical Qualifications:
Classical Artificial Intelligence (planning, searching, logic, uncertain knowledge and probabilistic reasoning)
Natural Language Processing (e.g., name entity recognition, sentiment analysis, word sense disambiguation, part-of-speech tagging, summarization, language generation, question and answering)
Containerization
Transformer-based architectures
Databases (e.g., mysql, mongodb)
Streaming architectures (e.g., Kafka, Pulsar, RabbitMQ, ActiveMQ, Spark)
Experience with procedural languages (e.g., java, C++) and/or functional programming languages (e.g., MATLAB)
Must be able to obtain and maintain a DoD security clearance
PI12cedfd892c1-26289-35836690