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2 дня назад

Technical Producer (Machine Learning)

150 000 - 209 600$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Technical Producer (Machine Learning): Leading technical teams to deliver machine learning and data-powered products for League of Legends and Teamfight Tactics, with an accent on development guidance, backlog management, and process optimization. Focus on understanding technical risks, aligning product direction, and ensuring successful delivery through effective project management practices.

Location: Los Angeles, USA (Onsite)

Salary: $150,000 – $209,600 USD (yearly)

Company

Riot Games is a product company known for creating games and experiences that prioritize players, focusing on collaborative team environments.

What you will do

  • Run day-to-day team production operations and development processes.
  • Facilitate clear, actionable commitments and ensure successful delivery through effective project management.
  • Troubleshoot delivery risks by reviewing release plans and team roadmaps.
  • Own the team's work system, including rituals, tracking, and reporting.
  • Work with data scientists and machine learning engineers to understand and communicate technical risks.
  • Partner with Leads to resource projects, monitor team health, and align on team composition.

Requirements

  • Bachelor's degree in Computer Science, Data Science, or related field, or equivalent experience.
  • Minimum of 4 years of experience as a Producer, Product Manager, or Development Manager on medium to large teams working on complex technical problems.
  • Experience working closely with Machine Learning teams, especially Data Scientists and Machine Learning Engineers.
  • Experience applying Agile and Lean development processes such as Scrum, Kanban, or Extreme Programming.
  • Experience managing the priority of team and product backlogs, writing user stories, and leading estimation and scoping.
  • Skilled at managing diverse stakeholders, building alignment across teams, and navigating complex organizational dynamics.

Nice to have

  • Experience working with game teams building platform systems, game features, or game experiences.
  • Experience working on or with a team that deploys machine learning systems at scale.

Culture & Benefits

  • Open paid time off policy and flexible work schedules.
  • Medical, dental, vision, and life insurance.
  • Parental leave for you, your spouse/domestic partner, and children.
  • 401K with company match.
  • Focus on player empathy and creating collaborative team environments.
  • Commitment to diversity and equal employment opportunity.

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