PhD Quantum Computers _ Vancouver / Canada

Quarte Recursos Humanos; Vancouver; In loco; CAD 80.000 - 150.000; Tempo pieno

Descrizione del lavoro

An innovative company is seeking a Machine Learning Researcher to explore groundbreaking algorithms leveraging quantum computing. This role involves collaborating with experts to design and optimize machine learning solutions, especially focusing on Boltzmann machines and MCMC techniques. The research environment is dynamic and encourages the exploration of new ideas, allowing researchers to pursue their passions and publish findings. Join a team at the forefront of technology, where your contributions can lead to significant advancements in machine learning and quantum computation.

Competenze

• PhD in relevant fields such as computer science or applied mathematics.
• Experience in statistical methods for machine learning, especially Boltzmann machines.

Mansioni

• Design and implement machine learning algorithms with a focus on optimization.
• Conduct experiments to validate machine learning algorithms' quality.

Conoscenze

Machine Learning

Statistical Methods

Problem Solving

Python

Matlab

Julia

Formazione

PhD in Computer Science

PhD in Statistics

PhD in Applied Mathematics

PhD in Physics

Strumenti

Python

Matlab

Julia

Descrizione del lavoro

Quatre Recursos Humanos is supporting a partner in Canada, searching for

Machine Learning Researchers – Boltzmann and MCMC

Machine Learning Researcher – Quantum computers. PhD EE/Comp Eng/ Compsci with math/prob/stats.

Our client builds hardware with the goal of computing as fast as nature will allow. They have been granted over 110 U.S. patents and have over 70 peer reviewed papers. They have raised over 170 million dollars. Their investors include Goldman Sachs and Bezos Expeditions and they are in partnerships with organizations such as Google and NASA.

They are working hard on exploiting quantum resources which are known to offer large computational speedups on some problems. They have developed a quantum annealing computer which is able to sample from probability distributions and optimize functions that are computationally intractable using classical hardware. When viewed as a sampler, the native operation of their machine is analogous to a sparsely-connected restricted Boltzmann machine. Similar network dynamics have fueled the recent explosion in the field of deep learning, the results of which are presently deployed in products ranging from speech recognition to image search. Their applications research team is exploiting the parallels between these architectures to substantially accelerate learning in deep, hierarchical neural networks.

Position:

The Machine Learning Researcher will work with a team of machine learning and quantum computation experts to design and implement novel machine learning algorithms that leverage the power of their quantum computer. The candidate will design and implement algorithms being developed by the team, investigate their properties, and help fine-tune their design.

This role allows inventive, ground-breaking research in an exciting and collaborative research environment. Their Machine Learning Researchers are given the freedom to work within their passions towards the overall goals, and they encourage exploration of new ideas and publication of the findings.

Responsibilities Include:

1. Work closely with machine learning experts to design, implement, tune, and optimize machine learning algorithms.
2. Design and implement experiments to test the quality of machine learning algorithms.
3. Validate promising research concepts with high quality Python, Matlab, or Julia implementations.
4. Apply software engineering best practices: software design patterns, version control, unit tests, documentation.
5. Work with a diverse group of technical experts to incorporate their expertise into software projects.

Required Qualifications:

1. PhD in computer science, statistics, applied mathematics, or physics.
2. Experience in statistical methods for machine learning, ideally including probabilistic models, with a focus on Boltzmann machines and MCMC techniques.
3. Demonstrated success in the application of machine learning to practical problems.
4. Expert coding abilities. Preference given to demonstrated experience using Python, Matlab, or Julia.
5. Self-motivated, proactive and flexible with excellent problem solving skills.

Candidates from any country are welcome, since they do have the required experience.

Fluent English MANDATORY

Resumes in English must be sent to [e-mail] under code QUANTUM_COMPUTER_2016