We are looking for exceptional people who are entrepreneurs, computer scientists and mathematicians. No entrepreneur, private equity nor blockchain experience is required: talent and drive matter far more.

We are primarily looking for evidence of exceptional ability and a track record of building things that work.

All positions are full time and based in Oakland and Remote Workers For positions not listed, you can reach us at hello@catalyzer.us

Software Engineer, Data Scientist + AI

About Catalyzer:

Catalyzer, llc is the first business catalyzer focused discovering entrepreneurs who have talent and drive; but need repositioning towards avante garde markets who crave the uniquenesses of an idea, innovation and/or novel experience.

  • We are a next generation business catalyzer + private equity fund.
  • We understand what drives passionate entrepreneurs, as we are some.
  • We are continuously benchmark and improve the relationships between avante garde markets, research labs, entrepreneurs, and corporations.
  • We see a global rebalancing of culture, politics and social advantage.
  • We love what we do. We also love dogs.

About you:

  • You find large challenges exciting and enjoy discovering and defining problems as much as solving them.
  • You deliver. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works every time.
  • You are a cross-disciplinary team member. You are excited to work with and learn from software, math, sensors, behavior scientist, and neuro-scientists. You are comfortable communicating across teams.
  • Resourceful, flexible and adaptable; no task is too big or too small.

Key qualifications:

  • 2+ years experience in artificial intelligence with a focus on machine learning and neural networks
  • Degree in Computer Science, Data Science, Mathematics, or Statistics or related degree.
  • Experience in cloud computing platforms such as Google Cloud Platform
  • Experience with deep learning framework (ex: Tensorflow, Torch, etc)
  • Proven command of R or Python
  • Excellent interpersonal, verbal, and written communication skills – must be able to communicate complex ideas in both technical and user-friendly language.
  • Excellent understanding of machine learning techniques and algorithms
  • Experience using statistical computer languages to manipulate data and draw insights from large data sets.
  • Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and creatively with an open and positive attitude.
  • Advanced knowledge of statistical techniques and concepts (regression, statistical tests and proper usage, etc.) and experience with their application
  • Energetic and self-motivated – must be extremely organized and detail oriented with an ability to make proactive recommendations.

Preferred qualifications:

  • Master’s or PhD degree in Computer Science, Mathematics or a technically-oriented MBA.
  • 5 years of relevant experience in software development, professional services, solution engineering and/or technical consulting.
  • Experience building and deploying autonomous/AI programs, Cloud/Big Data platforms,
    Tensorflow or similar tool R, Python
  • Must be able to see the big picture and drive towards business results
  • Strong sense of curiosity.
  • Strong attention to detail.
  • Expertise in industry specific technologies in vertical solutions, including experience in Retail, Healthcare, Financial Services or Media and/or experience working with Machine Learning technologies.
  • Excellent analytical, quantitative, and project management skills.

    What we offer:
  • An opportunity to change the world and work with some of the smartest and the most talented experts from different fields.
  • Growth Potential. We rapidly advance team members who have an outsized impact.
  • Flexible vacation policy.
  • Excellent medical, dental and vision insurance through a PPO plan.
  • Incentive compensation.