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- Aufgaben: Join a diverse team to integrate ML techniques into stellarator optimization and engineering.
- Arbeitgeber: Proxima Fusion is pioneering sustainable energy through innovative fusion technology.
- Mitarbeitervorteile: Enjoy 30 vacation days, language classes budget, and a Deutschland ticket for stress-free commuting.
- Warum dieser Job: Contribute to groundbreaking energy solutions while collaborating with top experts in fusion science.
- Gewünschte Qualifikationen: PhD in relevant fields and 3+ years of experience with ML frameworks and applications.
- Andere Informationen: We value diversity and encourage applicants from all backgrounds to apply.
Das voraussichtliche Gehalt liegt zwischen 54000 - 84000 € pro Jahr.
At Proxima Fusion, we\’re driven by a bold mission – to redefine the future of sustainable energy. Our unique concept, built upon the groundbreaking W7-X stellarator and the latest advances in technology, paves the way for commercially viable fusion power plants.
Our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets and we\’re leveraging this technology with advanced computational design capabilities.
We\’re on a journey to redefine the energy landscape, ensuring a sustainable future for generations to come.
At Proxima Fusion, you will join a diverse and interdisciplinary team working at the frontier of fusion technology. As an ML Researcher, you will work collaboratively with fusion scientists, engineers, and ML experts to integrate advanced ML techniques into stellarator optimization and engineering, transforming prototypes into production-ready solutions. Your contributions will establish best practices for ML and foster collaboration with academic and industrial partners. Join us to apply your knowledge and experience to solving real-world problems, helping to build stellarators that will power the future of clean energy.
If you have:
- A PhD in machine learning, computer science, physics, mathematics, or equivalent experience.
- 3+ years of experience with ML Frameworks such as PyTorch, Tensorflow, or Jax, and MLOps tooling.
- A specialization in geometric learning, generative and latent-space models, graph-based models, data-driven optimisation, or uncertainty quantification.
- Professional experience with applying ML to problems in the physical world, preferably in an inter-disciplinary setting.
- Strong knowledge of Python software development and the PyData ecosystem.
- Familiar with deployments in cloud environments.
You will help us:
- Identifying and defining novel ways to apply ML for stellarator optimization and engineering together with world-leading domain experts.
- Pursuing our real-world applications of ML from the prototyping stage to tools that are routinely used across the team.
- Maintain an active engagement with the broader ML community and ensure that we develop best-in-class ML solutions for the domain of fusion science and engineering.
- Bringing together domain experts, including engineers and physicists, to drive and lead Machine Learning initiatives.
In return, you will get:
- Fulfilling Mission: Embark on a mission-driven journey at the forefront of fusion R&D, contributing to the development of groundbreaking energy solutions.
- Celebrating Success: Experience recognition with VSOPs, adding an extra touch of appreciation for your valuable contributions.
- Work-Life Harmony: Enjoy a generous 30 vacation days, prioritizing your well-being and creating a healthy work-life balance.
- Continuous Learning: Access language classes budget, fostering your personal development and expanding your skill set.
- Convenient Commuting: Receive a Deutschland ticket, ensuring stress-free and sustainable travel to and from work.
- Joyful Work Atmosphere: Indulge in delightful company cake and coffee during social hours, fostering a vibrant and enjoyable workplace.
Proxima Fusion is firmly committed to fostering an inclusive and diverse work environment. We embrace the principles of equality and stand against discrimination on the basis of age, disability, gender, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.
Our organizational culture values and promotes equal opportunities for everyone, recognizing that a diverse team brings a richness of perspectives and contributes to our overall success. We encourage and welcome applications from candidates with various backgrounds, talents, and potential. Our selection process is solely based on individual merit, ensuring fair and impartial consideration for all applicants.
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Senior Machine Learning Researcher Arbeitgeber: Proxima Fusion GmbH
Kontaktperson:
Proxima Fusion GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Senior Machine Learning Researcher
✨Tip Number 1
Familiarize yourself with the latest advancements in fusion technology and stellarator optimization. Understanding the specific challenges and innovations in this field will help you engage more effectively during interviews and discussions with the team.
✨Tip Number 2
Network with professionals in the fusion energy sector, especially those working on machine learning applications. Attend relevant conferences or webinars to connect with potential colleagues and gain insights into current trends and challenges.
✨Tip Number 3
Showcase your interdisciplinary collaboration skills by highlighting past projects where you've worked with engineers or physicists. This will demonstrate your ability to integrate machine learning techniques into real-world applications effectively.
✨Tip Number 4
Stay active in the machine learning community by contributing to open-source projects or publishing research. This not only enhances your credibility but also shows your commitment to developing best-in-class ML solutions.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Senior Machine Learning Researcher
Tipps für deine Bewerbung 🫡
Understand the Mission: Before applying, take some time to understand Proxima Fusion's mission and how your skills in machine learning can contribute to redefining sustainable energy. Tailor your application to reflect this alignment.
Highlight Relevant Experience: Make sure to emphasize your experience with ML frameworks like PyTorch, TensorFlow, or Jax, as well as any relevant projects that showcase your expertise in geometric learning or data-driven optimization.
Showcase Collaboration Skills: Since the role involves working with interdisciplinary teams, highlight any past experiences where you collaborated with engineers or scientists. This will demonstrate your ability to integrate ML techniques into real-world applications.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your passion for fusion technology and sustainable energy. Make it personal and connect your background to Proxima Fusion's goals.
Wie du dich auf ein Vorstellungsgespräch bei Proxima Fusion GmbH vorbereitest
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with ML frameworks like PyTorch, TensorFlow, or Jax. Highlight specific projects where you've applied these tools, especially in the context of physical world problems.
✨Demonstrate Interdisciplinary Collaboration
Since the role involves working with fusion scientists and engineers, share examples of how you've successfully collaborated across disciplines. This will show your ability to integrate ML techniques into engineering and scientific contexts.
✨Discuss Real-World Applications
Prepare to talk about how you've taken ML solutions from prototyping to production-ready tools. Discuss any challenges you faced and how you overcame them, emphasizing your problem-solving skills.
✨Engage with the ML Community
Express your commitment to staying active in the broader ML community. Mention any conferences, workshops, or collaborations you've been involved in, as this shows your dedication to continuous learning and best practices in ML.
