Senior Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Machine Learning Engineer (AI): Designing and implementing machine learning and AI tools for diverse R&D projects with an accent on generative AI, predictive maintenance, and bioinformatics. Focus on optimizing AI model performance, applying deep learning for complex visualization, and developing scalable data-intelligence systems.
Location: Cambridge, MA. Must be able to obtain and maintain a government security clearance.
Salary: $82,300 - $220,000
Company
is an independent, nonprofit research and development company tackling national challenges in military defense, space exploration, and biomedical engineering.
What you will do
- Design and develop AI models to meet specific project requirements.
- Analyze and improve the performance of AI and machine learning models.
- Apply deep learning technologies to enable computers to visualize and respond to complex situations.
- Collaborate with departments and customers to define requirements and solve business problems.
- Conduct independent and team-based research in various AI domains.
- Identify operational improvements and communicate challenges to leadership.
Requirements
- Bachelor's degree in Computer Science, ML, Statistics, Mathematics, EE, Computational Biology, Physics, or a related field (Master's preferred).
- 5-7 years of professional experience in machine learning or artificial intelligence.
- Strong software development skills in Python, MATLAB, R, C++, or Java.
- Experience with version control systems such as Git.
- Ability to obtain and maintain a government security clearance (Secret preferred).
- Excellent analytical, mathematical, and problem-solving skills.
Culture & Benefits
- Programs supporting work-life balance and workplace flexibility.
- Diverse employee clubs, including photography and yoga.
- Health and finance workshops.
- Off-site social events and discounts to local museums and cultural activities.
- Collaborative, multidisciplinary research environment.
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