03/23/2021
Reconess is currently seeking an experienced Machine Learning engineer to join our R&D team. There is an option to work remotely in this position.
If you are enthusiastic about learning, wanting to work in a fast-moving tech company learning a hugely valuable skillset, then this opportunity is waiting for you.
QUALIFICATIONS:
• Ph.D./MSc/Bachelor degree in computer science, computer engineer, mathematics, or the equivalent in experience, and evidence of exceptional ability.
• Familiarity with large-scale data processing and distributed systems.
• Strong analytical and programming skills in Python, c++, and experience with scientific data analysis libraries such as pandas, NumPy, SciPy, and Scikit-learn.
• Experience in Machine Learning toolkits (TensorFlow, PyTorch).
• Deep experience in statistics, probability theory, data modeling, machine learning algorithms, and software development techniques.
• Expertise in deep learning, deep neural networks, convolutional neural networks, random forests, classifiers, feature representations, and/or related techniques.
• Experience with big data frameworks such as Hadoop/Spark – advantage.
• Relevant professional experience with applied data analytics and predictive modeling.
• Experience in utilizing theoretical and empirical research to solve problems.
• Familiarity Linux operating systems – advantage.
• Fluent spoken and written English.
• Proven ability to own and execute complex tasks, under tight schedules and dynamic conditions.
• Open-minded, fast learner and willingness to learn.
• Team player and great collaborator with the ability to work within an international team spread geographically.
RESPONSIBILITIES:
• Design and develop state-of-the-art deep learning architectures.
• Design and implement a classification NN architecture and training scheme. Train a model and optimize
• Design and implement scalable algorithms.
• Conduct performance analysis and optimize neural networks training code.
• Work with a cross-functional team of autonomous software & hardware engineers, application/UI engineers, QA/Validation, and designers.
If you want to join a dynamic and creative team and think you have what it takes to make a difference apply now and become part of an amazing team! please send your resume to [email protected] with “Machine Learning Researcher” in the subject line.