Tbwa Chiat/Day Inc
Senior Lead Machine Learning Scientist
Tbwa Chiat/Day Inc, Woburn, Massachusetts, us, 01813
We are seeking a highly motivated and experienced Senior Machine Learning Scientist to join our dynamic team. The ideal candidate will have a strong background in machine learning, deep learning, and a proven track record in developing innovative solutions for complex problems. This role requires a deep understanding of mathematical concepts, proficiency in programming languages such as Python, and experience in leading research projects. The Senior Machine Learning Scientist will work closely with cross-functional teams to design, develop, and implement machine learning models that drive impactful results in various national security related domains.
What You Will Do:
Lead the development of machine learning and deep learning algorithms for large-scale multimodal data fusion problems.
Collaborate with other research scientists, software engineers, and mission partners to create robust solutions that leverage state-of-the-art deep learning and advanced data analysis techniques.
Design and implement neural network architectures, including transformer-based architectures and autoencoders.
Deep understanding of Generative AI (GenAI) models and reinforcement learning models to address specific business challenges.
Lead a team of research scientists and software engineers, guiding project direction and ensuring successful project delivery.
Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and contribute to the development of novel algorithms and techniques.
Work with large data sets in a parallel computing environment, utilizing tools such as AWS services (EC2, S3, etc.) for data storage and processing.
Refactor and optimize existing software for improved performance and scalability.
Who You Are:
This position requires an active TS/SCI security clearance, for which U.S. citizenship is needed by U.S. Government.
BS, MS, or PhD in Computer Science, EE, Physics, Mathematics, or a related field (0-5+ years relevant experience depending on degree).
Proven experience in developing bespoke machine learning algorithms, particularly in high-dimensional multivariate complex-valued functions.
Strong proficiency in Python, with expertise in libraries such as PyTorch, TensorFlow.
Usage experience with cloud computing platforms, preferably AWS.
Experience in database management, including SQL and NoSQL databases.
Excellent understanding of mathematical concepts, including linear algebra, graph theory, and algebraic geometry.
Knowledge of DevOps practices and CI/CD pipelines.
STR is a growing technology company that specializes in advanced research and development for defense, intelligence, and national security. We are committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer.
STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe!
STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), marital status, national origin, age, veteran status, disability, genetic information, or any other characteristic protected by federal, state, or local laws.
If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.
Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.
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