Benefits:

• Supportive engineering environment

• Regular informal instructions from senior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, PhD in quantitative field, such as Physics, Mathematics, Statistics, Engineering

• Equivalent practical experience

Experience Requirements:

• Good knowledge of statistics, data analysis, and modelling methods

• Problem solving skills with respect to approaching a new dataset/customer request and formulating a problem

• Experience with some form of Deep Learning, for example Image recognition, or NLP, and a solid understanding of the foundations

• Experience with programming in Python

• Experience with Reinforcement Learning

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Working directly with our customers to support the deployment of our products

• Internally strengthening the products themselves

• Initial data exploration for customers

• Modelling and problem formation for customers

• Reinforcement Learning training for customers

Benefits:

• Supportive engineering environment

• Regular informal instructions from senior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, in Computer Science or a related field

• Equivalent practical experience

Experience Requirements:

• Good working knowledge of Docker, Kubernetes, Terraform, and other cloud-native technologies

• Experienced with working with public cloud providers (e.g. Azure, GCP, or AWS)

• Excellent debugging skills of distributed systems software and willingness/ability to go under the hood when required

• Strong programming background with extensive experience in Python

• Familiarity with software engineering best practices

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Design our flagship reinforcement learning platform Deepsim

• Develop our flagship reinforcement learning platform Deepsim

• Support our flagship reinforcement learning platform Deepsim

• Make DeepSim more scalable, robust, and deployable

• Ensure that data processing and model serving needs can be serviced by the platform

Benefits:

• Supportive engineering environment

• Regular informal instructions from junior engineers

• Regular training and knowledge-sharing sessions

• Ability to attend conferences and network

• Encouragement to give talks at conferences, meetups and submit papers to publications

Education Requirements:

• BS, MS, in Computer Science or a related field

• Equivalent practical experience

Experience Requirements:

• Deep experience with Python programming

• Experience designing and developing backend (REST API) servers via FastAPI (or other similar solutions)

• Experience working and interaction with databases and related technologies such as Postgres, MySQL, MongoDB, SQLAlchemy, etc.

• Experience in building scalable and fault-tolerant distributed systems

• Have worked on solutions that contain logging, monitoring and security best practices

Other Requirements:

• Good written and verbal communication

• Demonstrated ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

• Self-motivation to learn new concepts and an excellent record of execution

• A sense of urgency, result orientedness, and excellent ability to prioritize

Responsibilities:

• Design the server components of our flagship reinforcement learning platform Deepsim

• Develop the server components of our flagship reinforcement learning platform Deepsim

• Support the server components of our flagship reinforcement learning platform Deepsim

• Make Deepsim more accessible and composable

• Ensure that data processing, inspection of results, training of neural networks or model serving needs can be serviced by the platform