Senior ML Engineer: Ad Personalization & Optimization

Spotify; New York (NY); On-site; USD 184,050 - 262,928; Full time

Benefits offered by this job

Health insurance

Paid parental leave

401(k) retirement plan

Monthly meal allowance

Paid days off

Paid holidays

Paid sick leave

Job summary

A leading audio streaming service is looking for a Senior Machine Learning Engineer to optimize ad experiences using machine learning algorithms. The ideal candidate will design and implement data-driven solutions while collaborating with cross-functional teams. Key qualifications include strong experience in machine learning applications, proficiency in programming languages like Python or Java, and expertise with tools such as Tensorflow or Spark. The position offers competitive compensation, benefits, and a flexible working arrangement within the Americas region.

Qualifications

• Professional experience in applied machine learning.
• Strong technical expertise in software engineering and data analysis.
• Proficient in programming languages such as Python, Java, or Scala.
• Experienced in Tensorflow or PyTorch.
• Expertise in developing data pipelines using tools like Apache Beam or Spark.

Responsibilities

• Design and implement machine learning systems for ad performance optimization.
• Research and apply ML optimization strategies to balance multiple objectives effectively.
• Analyze data and use machine learning techniques to understand user behavior.

Skills

Applied machine learning

Software engineering

Data analysis

Python

Java

Scala

Tensorflow

PyTorch

Data pipelines

Apache Beam

Spark

Job description

A leading audio streaming service is looking for a Senior Machine Learning Engineer to optimize ad experiences using machine learning algorithms. The ideal candidate will design and implement data-driven solutions while collaborating with cross-functional teams. Key qualifications include strong experience in machine learning applications, proficiency in programming languages like Python or Java, and expertise with tools such as Tensorflow or Spark. The position offers competitive compensation, benefits, and a flexible working arrangement within the Americas region.