The Role

The Researcher in Quantum Machine Learning or Quantum Information will be a member of Terra Quantum's AI Applied Research team. This team is at the forefront of conducting both fundamental and applied research in the field of quantum machine learning. Although the Researcher will focus on innovating in quantum machine learning, the role involves translating research findings into practical algorithmic software solutions. The Researcher is expected to closely monitor and analyse scientific and industrial trends and needs across short-term, mid-term, and long-term horizons, specifically within the quantum technology and machine learning sectors, to guide the development and implementation of hybrid quantum-classical algorithms.

The Researcher in Quantum Machine Learning plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm. By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

The Responsibilities

The Applied Researcher should expect to work in one and supporting in the other areas of the following Quantum Machine Learning Team activities.

• Fundamental research in quantum machine learning
  • Developing quantum machine learning algorithms for different data processing tasks, e.g. time series, routing and planning, image, graph data, or natural language processing
  • Exploring state-of-the-art approaches in quantum machine learning
  • Analysing parametrised quantum circuits in their capacity to learn via a hybrid quantum-classical optimization loop
  • Utilizing metrics of, e.g., the Fisher information matrix, the effective dimension, and Fourier terms accessibility for parametrized quantum circuit ansatz analysis
  • Improving the trainability of parametrised quantum circuits through layerwise batch-entropy regularization and similar techniques
  • Interpreting and explaining quantum machine learning models. Analysing the flow of information through different architectures of quantum neural networks
  • Researching and understanding where the quantum brings the benefit to machine learning
  • Developing data encoding and data processing techniques for different types of quantum computers
  • Writing research papers for scientific journals

• Efficient implementation of quantum machine learning algorithms
  • Executing quantum machine learning algorithms on QPUs, e.g. of QuEra, IonQ, Rigetti, and IBM Q
  • Adjusting and improving implementation of hybrid quantum neural networks for different QPUs
  • Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
  • Understanding the way to implement an efficient interaction of hardware (CPU, GPU) and software (PyTorch, Pennylane)
  • Assisting in the development of our quantum machine learning SDK
  • Optimising, at least theoretically, the code of hybrid quantum-classical machine learning solutions for faster execution

• Supporting industry projects implementation
  • Bringing in novel ideas based on industry needs in time-series, routing and planning, GenAI, and natural language processing tasks
  • Brainstorming on possibilities of quantum machine learning algorithms applications to our client’s industry problems
  • Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in industrial problems
  • Assisting in writing applied industry research papers for scientific journals

The Requirements

The Applied Researcher is expected to have several qualifications depending on the area of activity in quantum machine learning or quantum information.

• Currently pursuing or recently completed a degree in computer science, physics, mathematics,
  or equivalent subject
• Experience in one or more quantum programming languages (Qiskit, Pennylane, Cirq, etc.)
• Experience working with variational quantum algorithms for machine learning
• Experience working with classical machine learning algorithms
• Basic knowledge in Python, Pytorch and TensorFlow
• Experience in working with QPUs is optional
• Familiarity with quantum information theory is optional
• Familiarity with Tensor-Network techniques is optional
• Goal-oriented, analytical and the ability to work independently
• Flexible, proactive, and creative with the ability to work in the team
• Highly motivated and resilient with the ability to work interdisciplinary
• Proficiency in written and spoken English
• Applicants must have the legal right to live and work in the European Union or Switzerland. Unfortunately, we are unable to offer visa sponsorship for this role.

ROLE OVERVIEW

Quantitative Engineer

We are seeking a Quantitative Engineer to help build and enhance our research infrastructure and improve our existing suite of models. The ideal candidate is a mid-level engineer with extensive software development experience in a highly data-driven industry such as finance, technology, or machine learning. The ability to collaborate across teams and support multiple projects is essential.

RESPONSIBILITIES

• Design scalable systems to support Massar’s quantitative research program.
• Develop high-performance platforms for quantitative research.
• Write comprehensive documentation and conduct code reviews.
• Promote and uphold firm-wide best coding practices.

REQUIREMENTS

• Degree in computer science or a related field.
• Development experience with AWS or other cloud providers.
• 2+ years of Python experience, including proficiency with libraries such as NumPy, Pandas, PyTorch and TensorFlow.
• Excellent communication skills, self-starter, quick learner, positive attitude, and team player
• Experience in at least one of the following areas:
• Econometrics, factor analyses, or automated trading.
• Weather data modeling.
• Machine learning techniques, such as neural networks.
• Robotics and/or sensor networks.
• Other high-dimensional, computationally intensive data problems. 

COMPENSATION

The all-inclusive salary for this position STARTS at EUR 95.000,00. Competitive and performance-based compensation package, depending upon qualifications.

We are seeking a Software Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We’re looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.

Mission Focus:

As a Software Engineer you will have the unique opportunity to solve hard problems and help turn complex concepts into reality to advance and enhance systems supporting the defense of our nation. In particular, you will implement cutting edge solutions for a program focused on state-of-the-art robust computer vision algorithms. You will be part of a solutions-oriented, agile SCRUM team designing and developing custom methods and components to support innovative data science capabilities.

Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to “automate-first”, use modern tech stacks, and constantly challenge each other to grow and improve.

If cutting edge development projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let’s connect.

Technical members of our solutions teams require little guidance, but love to learn, collaborate, and problem solve. This position requires mid to senior level of experience, a passion for mission support, and a strong desire to solve our customers’ hardest technical and data challenges. 

Clearance: U.S. Citizenship is required, with the ability to obtain a TS/SCI clearance. An active Secret clearance or higher is preferred.

Location/Flexibility: Herndon, VA with remote flexibility. Must be local to the DC Metro area. 

 Responsibilities: 

• Support design, development, implementation and maintenance recommendations for software systems
• Design, code, test, debug and document solutions
• Ensure compliance with software design, development, testing, integration and sustainment standards
• Research technology solutions, prioritize assignments, and work to resolve issues based on customer and business requirements
• Ensure that products are designed and developed for scalability, robustness, maintainability, and interoperability
• Create, implement and adopt Development Best Practices
• Serve as a leader for junior developers on the team

Qualifications:

• 5+ years of experience with Python or other programming languages (e.g., Java, C#, GoLang)
• Ideal candidates will have experience working with Pytorch and supporting machine learning efforts
• Experience with API design and implementation
• Experience supporting code reviews
• Experience with Cloud Providers (AWS, GCP, and Azure) preferably AWS
• Experience working in a fast-paced agile environment
• Demonstrated proficiency with Git version control systems
• Experience working in Linux environments
• Familiarity with microservices design and development patterns
• Familiarity with container-based applications (Docker, OpenShift) and Kubernetes management

Physical Requirements:

• Prolonged periods setting at a desk and working on a computer
• Must be able to lift up to 10-15 pounds at times.