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Director of Machine Learning
Confirmed live in the last 24 hours
Palo Alto, CA, USA
Experience Level
Desired Skills
Data Structures & Algorithms
  • Ph.D. degree in Machine Learning, Computer Science, Statistics, Electrical Engineering, or related fields
  • At least 10 years of experience doing exceptional ML/AI research as demonstrated by both scientific publications in top venues and potential industrial impact
  • Has deep and broad expertise across several applied science disciplines, is scientifically versatile, and demonstrates scientific and industrial maturity
  • Practical 5+ years experience in applying ML/AI to complex business problems
  • 5 years of experience managing teams of research scientists/engineers and data scientists (experience managing geographically distributed, multi-cultural teams a plus)
  • Exceptional project management skills
  • Hands-on experience programming in Python, Matlab, R, Java, C++, or other programming languages
  • Experience in large-scale ML systems and enabling technologies including commercial cloud stacks, resource provisioning/orchestration, and scaling methodologies (e.g., distributed optimization)
  • Develop cutting-edge ML algorithms esp. focusing on the time-series domain but also in areas such as online classification, regression, supervised/unsupervised learning, reinforcement learning, anomaly detection, pattern recognition, and hybrid ML algorithms
  • Lead projects with complete independence and help program/product managers even when business, product, and technical strategies are evolving and the problems to be solved are not well understood
  • Work with program/project managers to define use cases, collect data, and benchmark the results
  • Collaborate with other applied scientists to experiment, and develop algorithms/ prototypes that advance the state-of-the-art in industrial AI
  • Work with software engineers to provide scaling and production support for ML/AI algorithms
  • Contribute to Gauss Labs's intellectual property pools through patents and technical publications
  • Contribute to Gauss Labs's research advancement by publishing technical papers at external conferences and journals
Gauss Labs

11-50 employees

Industrial AI biotech company
Company Overview
Gauss labs is on a mission to revolutionize manufacturing by building industrial ai solutions beyond human capabilities. Gauss Labs is currently in the process of building industrial AI systems to tackle some of the most fundamental challenges the manufacturing industry faces.
  • Competitive compensation + meaningful equity
  • Generous PTO policy
  • Comprehensive wellbeing benefits
  • Paid family leaves
  • L&D opportunities
  • Additional benefits unique to each site
Company Core Values
  • Focus on the what and why
  • Highest standards
  • Learning with growth mindset
  • Readiness for deep dive
  • Ownership & accountability
  • Team spirit
  • Open discussion and communication