Job Information
Spotify USA Senior Machine Learning Engineer in New York, New York
Company: Spotify USA, Inc.Company HQ: 4 World Trade Center, 150 Greenwich Street, New York, NY 10007Location: *Telecommuting permitted: Role may be performed remotely in any region within the USJob Title: Senior Machine Learning EngineerDUTIES: Build new product features. Prototype new algorithms, evaluate with small scale experiments, and implement solutions at scale. Build out feature extraction and training pipelines for machine learning products and orchestrate these pipelines for production use. Perform advanced statistical analysis. Participate in on-call rotation, triaging system alerts that come from all production pipelines and services written by the group. Write test code for production pipelines/services. Perform system testing/profiling and improve production system efficiency for model training and serving. Design metrics, tooling, and A/B tests to support key business decisions. Participate in code reviews with the team by both providing and incorporating feedback. Work with product leadership to translate business requirements into technical tasks and deliverables, and communicate the business impact of those deliverables. *Telecommuting permitted: Role may be performed remotely in any region within the US.SALARY: $196,460 to $294,690/ yearWORK SCHEDULE: 9am to 5pm, 40 hours a week. (Monday - Friday)JOB REQUIREMENTS: Master’s degree (U.S. or foreign equivalent) in Statistics, Mathematics, Computer Science or a related field and one (1) year of experience in the job offered or in a related quantitative role. Must have one (1) year of experience with: Working with disparate data sources, both structured and unstructured; Understanding how to manipulate data and perform feature engineering on datasets; Utilizing data exploration / data visualization tools such as ggplot package in R and matplotlib in Python; Utilizing Cloud platforms such as GCP or AWS; Writing code in statistical programming languages, such as Python or R, with proper documentation; Utilizing Machine Learning techniques such as clustering and decision tree learning, and understanding their real-world advantages/drawbacks; Explaining the intuition and assumptions behind Machine Learning algorithms, and applying these concepts to craft Machine Learning systems that solve challenging problems; Utilizing advanced statistical techniques and concepts including regression, properties of distributions, and statistical tests and proper usage; Performing predictive modeling such as time-series to increase and optimize business outcomes; and Communicating complex statistics and machine learning concepts to both peers and non-experts. Qualified Applicants: Apply online at https://jobs.lever.co/spotify/dd46fcf5-31d9-404b-8039-c8007f32c624
Minimum Salary: 196,460 Maximum Salary: 294,690 Salary Unit: Yearly