Machine Learning Team Lead/director

Vor 4 Tagen


Zurich, Schweiz Spiden AG Vollzeit

**Your mission**:

- Fast-paced recruitment of ML research and ML engineering talent
- Develop novel statistical machine learning methods in collaboration with photonics, electronics, biomedical, and fluidics experts. Coordination with peer team leaders for research and development activities
- Lead a growing team of machine learning, data, and software engineers
- Reviewing literature related to machine learning research relevant to our use cases
- Creative development of computational approaches to solving critical challenges. Encouraging risk-taking and creativity among team members
- Documentation of experimental results in structured technical reports
- Create an inspiring team environment with an open communication culture
- Set clear team goals while delegating tasks and setting deadlines
- Motivate and monitor team performance while recognizing and rewarding high performance
- Discover training needs and provide coaching
- Listen to team members’ feedback and resolve any issues or conflicts
- Suggest and organize team building activities
- Manage budget associated with the team’s activities

**Your profile**:

- PhD in Computer Science, Statistics, Machine Learning, Applied Math, Electrical Engineering, Operations Research, Biomedical Informatics, or a publication history in such fields.
- Proven work experience as a team lead with active recruitment and management for > 1 year
- At least 5 years of work experience, preferably in an industry characterized by machine learning for high-dimensional data analysis
- Preferably in-depth knowledge of and experience with:

- Latent variable models including state space models
- Bayesian modeling and methods for Bayesian inference including Markov chain Monte Carlo, variational inference, and sequential Monte Carlo methods
- Bayesian nonparametric methods
- Deep learning including deep generative models
- Identifiability of statistical models

**About us**:
Spiden is a Swiss medtech venture with the vision to use state-of-the-art detection techniques to continuously monitor and learn from a wide range of vital medical indicators, allowing to improve your individual health.



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