Senior Research Scientist

Flock Freight is a thriving, Silicon Valley VC-backed startup based in San Diego. We’re building a transformative technology platform for SMBs that ship LTL freight — a $40B market! Our vision is to create a platform and marketplace that efficiently combines freight from multiple customers into multi-stop full truckloads, and matches them with direct-to-destination carriers, thereby avoiding terminals and hubs, and the damage and delays inherent to them.

We’re looking for an exceptional research scientist to join the team responsible for expanding and scaling the core technology behind Flock Freight's suite of optimization algorithms. Our team is made up of a small group of engineers and researchers who are passionate about creating innovative solutions built with modern technology. As one of the earliest members of this team, your talent and expertise will influence the best practices, design patterns, and technologies that we use to determine the most efficient way to aggregate our customers’ shipments.

Responsibilities

  • Take ownership of key components of our optimization platform
  • Design, prototype, develop, deploy, maintain, and tune new and existing algorithms
  • Write high-quality, well-documented, benchmarking and simulation tools to evaluate solution quality, and inform business and engineering decisions (e.g. pricing, scalability, targeted marketing and sales, etc.)
  • Identify, quantify, and prioritize new opportunities for state-of-the-art optimization techniques to quickly deliver significant business value
  • Routinely review literature to stay up-to-date with research community
  • Work both independently and in a highly collaborative environment with other researchers and software engineers to refine and operationalize new ideas

Requirements

  • Advanced degree in Math, Physics, Computer Science, or Operations Research.  At least one of the following is required:
    • Masters with at least two years of experience working on relevant network optimization problems
    • PhD

Skills and Experience

  • Experience architecting both large-scale, performant heuristics, and exact approaches to solve complex, combinatorial optimization problems 
  • Published research and/or academic conference participation
  • Familiarity with relevant, modern optimization tools, libraries, and frameworks
  • Practical or research application of object-oriented, functional, and concurrent programming
  • Exceptional problem solving, analysis, decomposition, and communication skills
  • Proficient with Java, R, or Python
  • Git, modern IDEs and build/deployment tools (Optional)
  • Experience authoring / working on production grade systems (Optional)

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