Research Scientist/Engineer
Clusterone serves the enterprise customers and is relied upon by researchers to build the next AI breakthroughs on massive scale data for a variety of industries. Our products solve various aspects of managing the training and deploying large-scale Machine Learning models, requiring the handling of thousands of servers, petabytes of data on various clouds, and data centers securely and efficiently. 
We are looking for researchers and engineers with a passion for applying the cutting-edge research ideas to the most pressing data problems in the world. You will be part of a global team of top engineers and scientists. This role requires you to creatively apply existing research and build new AI applications. 
Responsibilities

• Learn deep learning and computer systems for building scalable machine learning algorithms.
• Create new deep learning solutions and applications.
• Run experiments, learn, iterate.

You will be working with a global team of top researchers and engineers, who are helping the world to adopt AI.
Requirements

• Familiar with machine learning. You should be versed in the process (data collection, training, evaluation, making iterative improvements) of building effective learning systems.
• Able to work with the math of machine learning. If we need to make a change to a learning algorithm, you should be comfortable thinking about optimization objectives, linear algebra formulations of algorithms, etc.
• Able to write code. While we appreciate theoretical understandings, it is even more important that you're able to write good code in languages such as C++/Java/Python/CUDA (i.e., not just Matlab).
• Great verbal and written communication skills, you will be communicating complicated ideas in presentations and reports to our team and our customers.
• Able to read and understand academic research work.

On your first day, we’ll expect you to have:

• Software development experience with Python.
• Understanding of machine learning workflow.
• Data visualization and machine learning algorithm troubleshooting.
• Experience with Docker containers.

It’s great, but not required, if you have:

• Experience building state-of-the-art NLP, Vision or Speech models.
• Experience with big data systems.

Education 

• Technical BS/MS/PHD or relevant industry experience.

Here’s What You Need

• Passion to contribute to a truly exceptional customer experience, no matter your job title
• Understanding that innovation and creativity is a part of what we do every day
• Agility and action orientation – we move at the speed of tech
• Understanding of the privilege and obligation of being part of a team
  

Here’s What We’ll Provide

• Opportunity to work on some of the most challenging problems of our time
• Opportunity to work with an exceptional team from around the world
• A fun, dynamic and challenging work environment
• Formal and informal opportunities and support for ongoing learning, growth, and development
• Extremely generous equity, competitive salary and bonus and full medical, vision and dental coverage