ML Engineer with DSP knowledge (вакансія неактивна)

On behalf of our client Bryte, a well-funded startup producing smart AI-powered beds for the hospitality industry, we are looking for a Machine Learning Engineer.

Requirements:
— At least 3-5 years of experience working as a Machine Learning and/or DSP Engineer (or equivalent role) with a significant level of autonomy, including experience developing, deploying, and supporting production-grade models
— Strong experience with DSP (audio, video, but biomedical applications and/or experience with physiological signals would be preferred) and/or time series analysis (financial, industrial, and other fields)
— Background in math, statistics, algorithms, and data structures
— Proficiency with Python
— Experience with relevant libraries and frameworks: numpy, scipy, scikit-learn, PyTorch/TensorFlow, Pandas (including deployment tools: TensorFlow Serving / TorchScript)
— Experience with AWS ecosystem
— Desirable: experience implementing models that need to perform inference on resource-constrained devices with low latency (mobile, low-power computers like Raspberry Pi, etc.)
— Upper-Intermediate English level

Nice to have:
— MS or Ph.D. degree in machine learning, data science, statistics, applied math, computer science, or other relevant fields (or equivalent experience)

We offer multiple benefits, such as:
— Challenging work in an international and professional environment
— Mastering the English language with a native speaker
— 40-hour working week with flexible working hours
— Flexible WFH policy
— Competitive salary
— PE accounting and support
— 20 paid vacation days per year
— 14 paid sick leave days per year
— Medical insurance
— Annual 250$ deposit for attending external events (conferences, workshops, etc.)
— Long-term employment and real opportunities to change roles and projects within the company
— Yoga classes, workout corner
— Collaborative and friendly team environment
— Cozy, fully equipped office space in the city center

Responsibilities:
— Work with the data scientists and domain experts to analyze the data and build machine learning models
— Design and implement the pipeline for model training, validation, deployment, and experimentation
— Implement production-ready machine learning models that are reliable, resilient, efficient, and satisfy resource constraints
— Implement digital signal processing (DSP) techniques to pre-process, clean, enrich, and otherwise prepare raw signals for further analysis and model training

About project and company
bryte.com is a direct-to-consumer and B2B sleep technology company delivering the world’s most intelligent sleep platform for people to live longer, more productive lives.
The Bryte Bed uses a vast array of sensors to measure the occupants’ weight distribution, pressure points, body temperature, and overall sleep quality. The Bryte Bed is composed of 16 different zones and that can be adjusted via a pneumatic system. This system operates constantly throughout the night, making minor adjustments to keep the user comfortable without waking them. And though it goes without saying, the pneumatic adjustments are almost silent.