Machine Learning Engineer, Personalization, Minesweeper

What you get at Spotify

Base salary ranges from $138,250 to $197,500 per year, plus equity. This role is based in New York, NY and is on-site. In addition, you’ll have access to a broad set of benefits designed to support you and your family as you grow your career.

• Health insurance
• Six month paid parental leave
• 401(k) retirement plan
• Monthly meal allowance
• 23 paid days off
• 13 paid flexible holidays
• Paid sick leave
• Extensive learning opportunities through our GreenHouse team
• Flexible share incentives to participate in our success
• Global parental leave, six months off for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays to swap days off according to your values and beliefs

Responsibilities

• Leverage in-house and third-party Large Language Models to tackle language understanding challenges
• Apply techniques such as fine-tuning and retrieval augmented generation to improve models
• Contribute to designing, building, evaluating, shipping, and refining Spotify’s product through hands-on ML development
• Drive optimization, testing, and tooling to enhance the quality of content enrichment assets
• Collaborate with cross-functional teams of MLEs, data and backend engineers, and stakeholders across tech research, data science, and product to develop new features and technologies
• Participate in the AI Foundation ML community and work effectively within existing platforms and systems
• Perform data analysis to establish baselines and inform product decisions
• Stay current with the latest machine learning algorithms and techniques

Requirements

• Strong background in machine learning, with substantial experience in Large Language Models
• Professional experience in applied machine learning
• Experience in product and data-driven environments using Python (required), Scala, Java, SQL; familiarity with cloud platforms (GCP or AWS)
• Hands-on experience implementing or prototyping ML systems at scale
• Experience architecting data pipelines and being self-sufficient in acquiring the data needed to build and evaluate models, using tools such as Dataflow, Apache Beam, or Spark
• Commitment to agile software processes, data-driven development, reliability, and disciplined experimentation
• Experience and passion for fostering collaborative teams
• Experience with PyTorch, TensorFlow, and/or other scalable ML frameworks; familiarity with Ray or TFX is a plus
• Bonus: experience architecting near real-time pipelines

Technologies you’ll work with

• Large Language Models
• Python
• Scala
• Java
• SQL
• GCP
• AWS
• Dataflow
• Apache Beam
• Spark
• PyTorch
• TensorFlow
• Ray
• TFX

Where you’ll be

The role is based in New York, NY with on-site expectations. You can operate within the North America region as long as there is a work location. The team collaborates within the Eastern Standard Time zone for coordination.