4 дня назад
Software Machine Learning Engineer SMTS (AI)
82 300 - 220 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Software Machine Learning Engineer SMTS (AI): Designing and implementing machine learning, artificial intelligence, and data science tools for R&D projects in data intelligence, generative AI, predictive maintenance, and bioinformatics with an accent on AI model development, deep learning, and performance improvement. Focus on analyzing complex requirements, solving well-defined technical problems, and collaborating with cross-functional teams and customers.
Location: Cambridge, Massachusetts, United States
Salary: $82,300–$220,000 annual base salary
Company
is an independent nonprofit research and development company delivering engineering and scientific solutions for national challenges across defense, space, biomedical engineering, and other domains.
What you will do
- Design and develop AI and machine learning models for project requirements.
- Analyze and improve model performance using machine learning and deep learning techniques.
- Develop tools for data intelligence, generative AI, predictive maintenance, bioinformatics, and related R&D applications.
- Collaborate across departments and with customers to define requirements and understand technical problems.
- Conduct independent and team-based research with guidance.
- Communicate progress and challenges while improving task-level operations.
Requirements
- Bachelor’s degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or a related field.
- 5–7 years of experience in machine learning, artificial intelligence, or a related area.
- Strong software development skills in Python, MATLAB, R, C++, or Java, including version control with Git.
- Excellent analytical, mathematical, problem-solving, organizational, communication, and time-management skills.
- Ability to obtain and maintain a US Government Security Clearance.
- Ability to learn new technical skills and support changing program needs.
Nice to have
- Master’s degree in a relevant field.
- New PhD graduates with less than one year of experience may be considered.
Culture & Benefits
- Collaborative multidisciplinary environment focused on research and innovation.
- Workplace flexibility programs supporting work-life balance.
- Employee clubs, health and finance workshops, off-site social events, and discounts to local museums and cultural activities.
- Inclusive workplace with reasonable accommodation and equal employment opportunities.
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