Machine Learning Engineer
Job Description
MORSE is an innovative, employee-owned, tech company located in Kendall Square in Cambridge, MA specializing in solving multi-disciplinary problems faced by the US National Security Ecosystem. Our specially selected team of engineers, software developers and scientists develop algorithms, software, and hardware in the domains of AI, Manned and Unmanned Vehicles, Mission Planning, and Warfighter Situational Awareness.
We are seeking a Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on large language models. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms. MORSE’s AI & ML work crosses modalities, and experience or interest in the fields of audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE’s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
Responsibilities:
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Develop, fine-tune, train, and optimize Large Language Models for natural language processing tasks such as code and text generation
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Use MLOps tools for efficient experiment tracking, data management, and reproducibility
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Write robust, efficient, and maintainable code
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Track the latest advancements with NLP and machine learning research to bring new techniques and methodologies to MORSE
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Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of NLP models
Skills and Requirements:
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US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
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Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Mathematics, Physics, or related field
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Proven experience in applying NLP models, techniques, frameworks, and libraries to implement and fine-tune language models
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Proven experience testing and validating the performance of AI technologies in real-world applications
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Proficiency in Python
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Experience with cloud platforms (AWS, Azure, GCP)
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Experience with Docker is a plus
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Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
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Exceptional communication skills and the ability to work well with customers
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Understanding of Department of Defense requirements and standards is a plus
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for its employees. Our team values work-life balance through flexibility and other programs, along with a comprehensible benefits package for employees and families. For more information, please visit www.morsecorp.com.
Date Posted
03/18/2024
Views
2
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