
Machine Learning Engineer I, Personalization
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in New York.
• Leverage both in-house and third-party LLMs to address language comprehension challenges.
• Apply methods such as fine-tuning and RAG to enhance model performance.
• Play a key role in the design, development, evaluation, deployment, and refinement of Spotify’s products through direct ML development.
• Assist in optimizing, testing, and creating tools to enhance the quality of our content enrichment assets.
• Work collaboratively with cross-functional teams comprising MLEs, data and backend engineers, along with stakeholders from tech research, data science, and product to innovate new features and technologies.
• Engage as a member of our AI Foundation’s ML community, working collaboratively and effectively within our established platforms and systems.
• Conduct data analysis to set baselines and guide product decisions.
• Stay informed about the latest advancements in machine learning algorithms and techniques.
• Strong foundation in machine learning, particularly with Large Language Models.
• Professional experience in applied machine learning.
• Significant experience in a product and data-centric environment (Python, Scala, Java, SQL, with a requirement for Python experience).
• Practical experience in implementing or prototyping machine learning systems at scale.
• Experience in architecting data pipelines and being self-sufficient in acquiring the data necessary to build and assess models, utilizing tools such as Dataflow, Apache Beam, or Spark.
• Commitment to agile software methodologies, data-driven development, reliability, and systematic experimentation.
• Proven experience and enthusiasm for nurturing collaborative teams.
• Familiarity with PyTorch, TensorFlow, and/or other scalable machine learning frameworks.
• Experience in designing near real-time pipelines is an advantage.
• Health insurance.
• Six months of paid parental leave.
• 401(k) retirement plan.
• Monthly meal allowance.
• 23 paid days off.
• 13 paid flexible holidays.
• Paid sick leave.
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