Senior Machine Learning Scientist

Solsten is ushering in a new era of experience management by enabling personalization optimized for human potential and health. We enable global leaders and companies of all sizes across the gaming and healthcare industries to create and manage personalized experiences while obtaining a deeper level of audience understanding than ever before through our psychologically-based AI.

Solsten is the empathy engine of digital experiences. We provide our clients with the right insights and tools to empower them  - for the first time in the digital age - to truly resonate with their customers and end users.

Our data science team is at the very core of creating this next generation of digital resonance. We do this by understanding the relationship between neuroassessment-based psychological data and in-game behavioural data using innovative supervised, unsupervised and semi-supervised models that allow us to understand human beings more deeply and sustainably than ever before. As a part of this team, you will work closely with highly experienced data scientists and machine learning engineers as well as psychometricians, researchers, engineers, and UX designers.

If you want to join a purpose-driven company, thrive on solving challenging problems, are intellectually curious and constantly want to learn as well as grow, enjoy high performance environments, are highly productive compared to your peers and a true team player, then read on and apply - we are looking for you.

WHAT YOU WILL DO

• Research, design, implement and refine state-of-the art algorithms to optimally collect and analyze psychometric data
• Perform complex statistical analyses on our large proprietary data sets
• Work closely with ML engineers, psychometricians, software engineers, researchers and UX team to incorporate the latest findings from psychometrics, machine learning and psychological research into a working product

YOUR BACKGROUND

• 4+ years of relevant practical experience in applied statistics, machine learning, data science or a related field
• PhD in mathematics, statistics, computational neuroscience, psychometrics, econometrics, or related quantitative field
• Exceptional grasp of probability and statistics fundamentals
• Strong command of Python
• Hands-on experience with Bayesian modeling and computation (MCMC, variational inference, etc.) 
• Hands-on experience with leading commercial cloud computing platforms
• Proven ability to document and communicate scientific work clearly, concisely and precisely

HOW YOU STAND OUT

• Hands-on experience working with psychometric data and data from surveys or psychological instruments 
• Hands-on experience with machine learning, especially unsupervised and semi-supervised learning
• Hands-on experience of python probabilistic computing and deep learning frameworks and libraries (especially PyTorch)
• Working familiarity with modern infrastructure and tools (e.g. Kubernetes, Docker, AWS) and large-scale data processing technologies (e.g. SQL, BigQuery, Hadoop, Spark)
• Experience in working in a small data science/engineering team in a fast-paced, startup environment

WHAT WE OFFER

You will join an international and dedicated team in a growing company, with plenty of opportunities for impact and personal growth. We are working from Berlin in Germany, Minneapolis in the US, and even Taipei in Taiwan! We enjoy working together and value respect, honesty, and openness. Some of the immediate benefits of working at Solsten are:

• Top of market compensation
• Flexible work-schedule
• State of the art equipment and work station
• Learning budget & access to curated means of personal development
• Support with relocation & visa application
• Flexible work-from-home policy

HIRING PROCESS

We are actively hiring despite the pandemic, and we have adapted our processes accordingly. Our team is working in a remote-first fashion, and all interviews will be conducted remotely by default.

Solsten is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national or ethnic origin, genetics, disability nor age.