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Чётко описанная исследовательская стажировка в известной аудиокомпании даёт практический опыт на стыке сенсорики, DSP и машинного обучения, но длится только шесть месяцев и рассчитана на учащихся магистратуры или PhD.
?Только для магистрантов и PhD
Актуальные технологии
Работа в исследовательской лаборатории
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
DSP/ML Research Engineer Co-op (Machine Learning/DSP): Researching and implementing multimodal sensor fusion, DSP, and machine learning algorithms for room environmental sensing with an accent on microphones, IMUs, camera data, and real-time processing. Focus on developing memory-constrained models, training data and evaluation infrastructure, and real-time prototypes for next-generation audio experiences.
Location: Framingham, Massachusetts, United States of America. Full-time, 40 hours per week for 6 months starting January 2027.
Hiring range: $40.00–$51.25 per hour in Framingham; ranges may vary by hirify.global work location.
Company
hirify.global Corporation develops audio technology and premium sound experiences across audio, automotive, luxury, and other premium experience businesses.
What you will do
Research, implement, and evaluate multimodal sensor-fusion methods for environmental sensing.
Develop and evaluate DSP and machine learning algorithms for room environmental sensing.
Collect data using microphones, IMUs, cameras, and light-based systems.
Develop machine learning models, training data, and evaluation infrastructure.
Implement real-time, demo-ready experiences on prototyping platforms.
Requirements
Currently pursuing an M.S. or PhD in Electrical Engineering, Acoustic Engineering, Computer Science, or a related field.
Strong programming experience in Python and MATLAB.
Strong experience with TensorFlow or PyTorch.
Experience with camera and IMU data collection and signal processing.
Familiarity with machine learning, including deep learning neural networks, memory-constrained models, and training data development.
Familiarity with real-time processing applications and acoustic modeling.
Experience with cross-group and cross-cultural collaboration.
High creativity and strong problem-solving capabilities.
Nice to have
Machine learning engineering experience through an internship, co-op, class, or personal project.
Knowledge of embedded DSP.
Knowledge of C/C++ and Bash scripting.
Music or acoustic experience and interests.
Culture & Benefits
Work in a research lab focused on innovative audio technology and next-generation product experiences.
Full-time co-op placement with competitive base pay tailored to skills, experience, education, and location.
Bonus programs, comprehensive health and welfare benefits, and a 401(k) plan.
Additional wellbeing perks and an employee discount on hirify.global products and experiences.
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