3 days ago
Base Salary
$138k - $198k/yr
Responsibilities
- Utilize in-house and third-party LLMs to solve language understanding problems.
- Employ techniques such as fine-tuning and RAG 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 content enrichment assets.
- Collaborate with cross-functional teams to develop new features and technologies.
- Participate in the AI Foundation’s ML community and perform data analysis for product decisions.
- Stay up-to-date on the latest machine learning algorithms and techniques.
Requirements
- Strong background in machine learning, particularly with Large Language Models.
- Professional experience in applied machine learning.
- Extensive experience in a product and data-driven environment, with proficiency in Python, Scala, Java, SQL, and cloud platforms (GCP or AWS).
- Hands-on experience implementing or prototyping machine learning systems at scale.
- Experience architecting data pipelines and using tools like Dataflow, Apache Beam, or Spark.
- Commitment to agile software processes, data-driven development, and disciplined experimentation.
- Experience and passion for fostering collaborative teams.
- Familiarity with PyTorch, TensorFlow, and other scalable machine learning frameworks; experience with Ray or TFX is a plus.
- Bonus for experience with architecting near real-time pipelines.
Benefits
- Health insurance.
- Six months paid parental leave.
- 401(k) retirement plan.
- Monthly meal allowance.
- 23 paid days off.
- 13 paid flexible holidays.
- Paid sick leave.