Senior Researcher

TolokaSpecialist
Toloka is one of the world's largest crowdsourcing platforms, delivering efficient data labeling at scale. To advance our state-of-the-art crowdsourcing quality and performance, we’re looking for an experienced researcher to join our crowdsourcing research team.
We’re inviting experienced researchers with a background in computer science or econometrics to perform world-class practical and theoretical research with Toloka. We offer the chance to lead the research agenda and publish studies at top-tier international conferences on crowdsourcing, machine learning, computer vision, natural language processing, and other topics.
Our team investigates and develops cutting-edge algorithms for efficient crowdsourcing in academic and industrial contexts. We presented tutorials at premier scientific conferences like NAACL-HLT '21, WWW '21, CVPR '20, SIGMOD '20, WSDM '20, and KDD '20 and also organized crowdsourcing workshops at VLDB '21 and NeurIPS '20. This is a unique opportunity to conduct studies on one of the world's largest crowdsourcing marketplaces — Toloka.
If you’re interested in crowdsourcing, machine learning, and human-computer interaction, follow recent papers from conferences like AAAI, WWW, HCOMP, KDD, ICML, NeurIPS, ICLR, ACL, and CVPR, and would like to give an interdisciplinary research team a try, let’s talk!

Responsibilities:

  • Develop new methods and technologies to advance our crowdsourcing theory and applications;
  • Conduct large-scale experiments to verify your hypotheses on Toloka;
  • Write scientific papers describing your findings;
  • Present your results at top-tier scientific conferences, workshops, and seminars;
  • Productionalize your results to impact Toloka’s major customers;
  • Educate a wider audience about crowdsourcing and crowd science.

Required experience:

  • Have a Ph.D. or equivalent degree with a solid background in mathematics and algorithms;
  • Can write efficient code in Python to conduct experiments and reproduce published papers;
  • Are interested in reading and analyzing scientific publications regularly;
  • Have a research portfolio on dblp or Google Scholar;
  • Have command of *nix systems, SQL, and MapReduce;
  • Speak English fluently.

Conditions:

  • A strong team to grow with;
  • Complex tasks for services with millions of users;
  • The opportunity to influence processes and outcomes:
  • Bonuses every six months following a successful review;
  • Mortgage programs at 3% interest for ten years or 0% interest for three years;
  • Reimbursement of meal expenses;
  • Extended medical insurance program, 80% of the medical insurance cost for spouses and children;
  • In-office gym and yoga;
  • Flexible work schedule;
  • Free parking;
  • Relocation program for non-resident employees.