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Senior ML Science Manager (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Ireland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior ML Science Manager (AI): Leading and developing a team of 10+ ML scientists building and rapidly deploying machine learning products for Fin's AI customer agent with an accent on applied ML, NLP, LLMs, and measurable customer impact. Focus on shaping product research with ML, engineering, product, and design leaders, providing technical guidance, and expanding a high-performing science team.

Location: Dublin, Ireland; hybrid work with at least three days per week in the office. The ML science team is distributed across offices in Dublin, London, and Berlin.

Company

hirify.global develops Fin, an AI customer agent that provides always-on customer support across service, sales, and ecommerce.

What you will do

  • Manage, mentor, and coach a team of 10+ ML scientists.
  • Collaborate with ML, engineering, product, and design leaders to shape team priorities and product impact.
  • Enable high productivity, performance, and reliability across the team.
  • Provide technical guidance and stay close to individual contributor work, including occasional code reviews or pull requests.
  • Expand the team and promote its work internally and externally through recruitment and events.

Requirements

  • Experience leading, developing, and supporting ML teams that deliver impact quickly.
  • At least five years of individual contribution experience in ML, AI, NLP, or a data-related field.
  • Excellent applied machine learning and coding skills.
  • Ability to work effectively in an ambiguous environment with substantial autonomy.
  • Strong communication skills across technical teams and disciplines.
  • MSc or PhD in an ML-related field, or equivalent knowledge.

Nice to have

  • Experience shipping ML products for end users.
  • Research environment experience and expertise in areas such as NLP, deep learning, Bayesian methods, reinforcement learning, or clustering.
  • Data skills including visualization and SQL.
  • Deep knowledge of software engineering practices.
  • Experience recruiting ML scientists as a hiring manager.

Culture & Benefits

  • Hybrid working with flexibility to work from home.
  • Competitive salary, equity, and regular compensation reviews.
  • Pension scheme with matching up to 4%, life assurance, and health and dental insurance for dependents.
  • Flexible paid time off, paid maternity leave, and six weeks of paternity leave.
  • Weekday lunch, snacks, a stocked kitchen, Cycle-to-Work Scheme, secure bike storage, and a company-provided MacBook or Windows device where needed.

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