Location: Zurich/Davos, Switzerland, hybrid
The Role:
We’re on the lookout for a dedicated Large Language Model and Machine Learning Engineer to be an integral part of our team. If you have deep expertise in training and fine-tuning large-scale models, can navigate the nuances of natural language processing, and have a passion for pushing the boundaries of machine learning capabilities, you may be the perfect fit!
Key Responsibilities:
- Work closely with our AI team to design, train, and fine-tune state-of-the-art large language models.
- Collaborate with developers to integrate machine learning models into production systems, consumer-level audio recording hardware as well as commercial-grade audio recording, ensuring seamless user experiences.
- Guide the team on best practices concerning machine learning architecture, highlighting the implications in terms of computational efficiency, scalability, and cost.
- Assess the quality and relevance of the training data and actively seek innovative techniques to improve model accuracy and generalization.
- Be capable of communicating clearly and confidently not only with the internal team, proposing solutions for system architectures and client problems, but also with the clients directly when needed, both to their engineering as well as their management and administrative teams
- Maintain and optimize our machine learning infrastructure, guaranteeing robust and scalable model deployment.
- Ensure meticulous documentation on model development, training procedures, and performance metrics.
- Stay abreast of the latest advancements in NLP and machine learning, ensuring our models remain at the cutting edge.
What You Bring:
- Proven experience with popular deep learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers, GraphRAG.
- Robust programming skills, preferably in Python.
- A deep analytical and problem-solving mindset, paired with a strong foundation in machine learning theory and practice.
- Effective communication skills and a team-first approach, with the ability to explain complex ML concepts to non-technical stakeholders.
- Two years of hands-on experience in training and deploying large-scale language models.
- Experience in academic research in the field of AI
- Experience in training, fine-tuning, deployment, and serving of vision and language AI models
- Two years of experience in UI/UX.
- Experience in Audio engineering for both consumer-level audio recording hardware as well as commercial-grade audio recording.
- Experience in embedded systems engineering.
- Ability to also speak clearly to clients in sales, management, and engineering.
What We Offer:
We offer more than just a job: after an initiation period, you are eligible for the company’s shares program and become part of the AlpineAI family. Furthermore, you will …
- Engage in a dynamic, innovative company that values and fosters out-of-the-box thinking.
- Thrive in a professional, goal-oriented culture where:
- Managers exemplify leadership.
- Fairness and respect are paramount.
- Autonomy is encouraged, accepting mistakes as learning opportunities.
- Conflicts are addressed openly and promptly.
- Take on a high level of personal responsibility.
- Participate in an exciting mission within a creative and forward-thinking environment.
- Collaborate with some of the brightest and most innovative minds in AI.
- Gain insights into AI and cutting-edge, self-learning technologies.
- Embrace the opportunity to make a large-scale impact and drive global change.
Please do not apply as we will not consider your application if:
- You are not willing to work physically in Zurich or Davos, Switzerland.
- You have never worked in a startup environment.
- You do not have a Swiss work permit.
- You have no prior experience as an LLM & ML Engineer.
Join us as we strive to create pioneering AI technology in Switzerland. If you are technically skilled, enthusiastic about AI, and eager to contribute to a pioneering project with a global impact, we’d love to hear from you.
Please apply with a cover letter or video and CV. Let’s shape the future of AI together!