Senior ML Engineer (Researcher)

We are looking for talented people for our client, famous American company working on artificial intelligence development.

What You Will Do

• Perform code reviews and other activities to ensure high-quality results
• Handle large-scale data sets and organization of relevant data
• Work with state-of-the-art neural network models for Signals (some times computer vision) and biometrics
• Conceptualize problems, apply appropriate theory, explore approaches, simulate, and implement with minimal supervision
• Define data needs, evaluate data quality, and extract/transform data for analytic projects and research
• Work with biosignals such as heart rate/ECG
• Work with big car data from a multitude of sensors
• Select statistical, machine learning and artificial intelligence algorithms to solve filtering, clustering and classification problems
• Work closely with other senior machine learning researchers and engineers in autonomy

What we are looking for

• Must have 5+ years’ experience in Predictive Modeling & Data Mining; Competitive/Customer Intelligence; Statistical Model Development; Analytics (Predictive Analytics); Big Data; and High Performance Computing
• Good spoken English (Russian would be plus)
• 5+ years’ experience working in the field of machine learning for computer vision or biosignal analysis
• NumPy, Pandas, etc.to dig into data to extract meaning from information.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with data visualization tools, such as Plotly
• Proficiency in using query languages such as SQL
• Hands-on experience in applied machine learning along with deep learning experience with frameworks, preferably PyTorch
• Proficient in one or more relevant programming languages: C++, Python, C
• Enterprise level documentation skills
• Experience in software development for real-time embedded software with C or/and C++

Would be an advantage

• Ability to show value of analytics within business processes
• Regression (linear, logistic, multinomial, censored)
• Segmentation and clustering
• Decision tree analysis
• Mathematical programming and optimization
• Experience with task scheduling software such as Slurm

What We Offer

• Impact on future technology development
• Relocation to Armenia (Yerevan)
• Relocation package
• Extensive training opportunities through our own university
• Competitive wellness benefits
• Tuition reimbursement
• An inclusive and diverse work environment that fosters and encourages professional and personal development