Senior Engineering Lead, ML

4 days ago


Stockholm, Stockholm, Sweden TN Sweden Full time
Our Ideal Candidate:

We're looking for a highly skilled machine learning professional who can develop and implement an ML strategy for content and catalog management, collaborate with cross-functional teams, and promote a culture of experimentation and innovation.

Responsibilities:
  • Develop and implement an ML strategy for content and catalog management across multiple squads.
  • Collaborate with engineers, researchers, product managers, designers, and data scientists to enhance the platform's capabilities and decision-making pipeline.
  • Cultivate strong relationships within the team, promoting a culture of collaboration, openness, and inclusion to develop well-rounded solutions.
  • Promote experimentation and iteration to encourage out-of-the-box approaches to engineering problems.
Requirements:
  1. Proven track record of creating, promoting, and growing ML strategy for platforms, delivering horizontal solutions to vertical problems.
  2. Hands-on experience in implementing ML systems at scale in Java, Scala, Python, or similar, as well as with ML-specific libraries and frameworks like TensorFlow, PyTorch, or similar.
  3. In-depth knowledge of various ML algorithms, including supervised, unsupervised, and reinforcement learning, with experience in algorithm selection, tuning, and evaluation.
  4. Ability to communicate sophisticated ML practices, solutions, and algorithms to technical and non-technical parties unfamiliar with ML terminology and principles.

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