Careers

Software Engineer – Infrastructure

Lugano, Switzerland / Austin, TX  Full Time

Description

  • Implement internal machine learning software infrastructure
  • Integrate existing open-source tools in order to facilitate ML research
  • Interface our proprietary platform with large data sets and customer platforms
  • Contribute to the our proprietary code base

Minimum Qualifications

  • Masters in computer science
  • 2 years in the industry, experience with IT systems
  • Experience with parallel computing architectures
  • “DevOps”
    •
  • Command of C/C++ and Python
  • Knowledge of Unix environment, GNU/Linux
  • Engineering mindset
  • Large data management skills
  • Fluent in written and spoken English

Plusses

  • Theoretical knowledge of machine learning methods (deep learning, reinforcement learning, evolutionary computation)
  • Experience of machine learning frameworks (TensorFlow, PyTorch)
  • Experience with containers and orchestration (Docker, Kubernetes, OpenStack)
  • Experience with cluster environments (e.g. SGE, Condor)
  • Experience with GPU programming (Cuda, OpenCL, Metal)

Contact

E-mail: jobs@nnaisense.com
start subject with: [infrastructure engineer]
submit both your cover letter and resume in English, PDF format

Research Scientist – Intelligent Automation

Lugano, Switzerland / Austin, TX  Full Time

The sense in our name refers to sensory-motor control for a reason: NNAISENSE is dedicated to going beyond perception, and deploying robust intelligent solutions to complex control problems that require learning from direct interaction with the real world. We are seeking experienced researchers with expertise in reinforcement learning to join our accomplished Intelligent Automation team.

Description

  • Conduct cutting-edge research in reinforcement learning
  • Contribute to selected high-profile client projects
  • Depending on qualifications, manage small research team

Minimum Qualifications

  • 4+ years experience conducting cutting-edge research
  • PhD in Computer Science (ML/AI)
  • Expertise in reinforcement learning: TD, PG, POMDP methods, Model-based RL
  • Strong publishing track record in top journal and conferences
  • Fluent in written and spoken English

Plusses

  • Knowledge of meta-learning, artificial curiosity, hierarchical RL
  • Expertise with NNs/RNNs
  • Familiarity with Wolfram Mathematica, C/C++ and Python
  • Working experience with parallelization and computing clusters
  • Broad understanding of machine learning and AI

Contact

E-mail: jobs@nnaisense.com
start subject with: [intelligent automation]
submit both your cover letter and resume in English, PDF format

Research Scientist – Deep Learning

Lugano, Switzerland / Austin, TX  Full Time

Supervised neural networks form a primary substrate of what we do at NNAISENSE, both in direct pattern recognition applications, and as the perceptual front-end for intelligent automation. We are looking to expand our deep learning team to advance the state of the art and contribute to our ongoing commercial engagements in manufacturing, finance, and mobile.

Description

  • Perform scientific research of the highest standards
  • Design large-scale neural network solutions to solve challenging industrial problems
  • Contribute to extending the company code-base
  • Occasionally, contribute to selected high-profile client projects

Minimum Qualifications

  • 3+ years of experience in conducting cutting-edge research in deep learning
  • PhD in Computer Science (ML/AI), Physics, or Mathematics
  • Publications in top journals and conferences (e.g. NIPS, ICML, TPAMI, CVPR)
  • Experience with neural networks and the most common frameworks such as Tensorflow, PyTorch, and MXNET
  • Expert in Bayesian and Variational Bayesian inference
  • Driven to learn in a vibrant and stimulating environment
  • Fluent in written and spoken English

Plusses

  • Familiar with problems in computer vision
  • Understanding of low-level GPU coding paradigms
  • Experience with large-scale data driven projects
  • Broad understanding of machine learning and AI

Contact

E-mail: jobs@nnaisense.com
start subject with: [deep learning]
submit both your cover letter and resume in English, PDF format

Research Scientist – Control Systems

Lugano, Switzerland / Austin, TX  Full Time

NNAISENSE is committed to deploying robust, intelligent control solutions based on state-of-the-art reinforcement learning that leverages formal concepts from control theory. We are seeking experienced control system scientists to join our intelligent automation team. You will bridge machine learning and control theory research, and contribute to internal projects as well as high profile client applications.

Description

  • Perform cutting-edge R&D in both control theory (MPC, non-linear control, optimal control) and machine learning
  • Further the development of our core control code base
  • Contribute to selected client projects

Minimum Qualifications

  • 3+ years research experience in the field of automatic control theory and applications
  • PhD/MSc in engineering, math, physics, or computer science
  • Working knowledge of advanced control technology such as MPC
  • Familiarity with system identification and modeling techniques for physical systems
  • Strong mathematical background and coding skills
  • Fluent in Python or Wolfram Mathematica
  • Fluent in written and spoken English

Plusses

  • Expertise in Bayesian inference and reinforcement learning
  • Experience with (recurrent) neural networks
  • Experience with optimization techniques and algorithms
  • Knowledge of stochastic control theory
  • Familiarity with C/C++

Contact

E-mail: jobs@nnaisense.com
start subject with: [control systems]
submit both your cover letter and resume in English, PDF format