Senior Machine Learning Engineer, Recommendations (Experience)
SoundCloudabout 4 hours ago
New York, NY, USA
Senior / Mid Level
Base Salary
$165k - $195k/yr
Responsibilities
- Develop, test, and productionize ML models.
- Make technical decisions considering cost, latency, complexity, and maintainability.
- Navigate distributed systems to build reliable, scalable solutions.
- Design and implement data pipelines, feature engineering, model training, and serving infrastructure.
- Write technical RFCs and communicate trade-offs to diverse stakeholders.
- Set up monitoring, A/B testing, and metrics frameworks to measure real user impact.
- Debug complex issues across data pipelines, ML models, and distributed systems.
- Champion maintainable code over clever code.
- Share knowledge through documentation, code reviews, and mentoring.
- Contribute to technical strategy and team best practices.
- Leverage agentic workflows and AI-assisted engineering.
Requirements
- 1-2+ years building ML systems in production.
- 4+ years of software engineering experience.
- Strong Scala knowledge or closely related JVM languages.
- Deep SQL skills for massive datasets.
- Cloud platform experience (AWS/GCP) and containerization (Docker, Kubernetes).
- Familiarity with TensorFlow, PyTorch, or similar frameworks.
- Experience with distributed data processing and ETL pipelines.
- Understanding of data consistency patterns and trade-offs.
- Ability to debug issues across multiple systems and data sources.
Benefits
- Comprehensive health benefits including medical, dental, and vision plans.
- Robust 401k program.
- Employee Equity Plan.
- Generous professional development allowance.
- Creativity and Wellness benefit for personal interests.
- Flexible vacation and public holiday policy with up to 35 days of PTO annually.
- 16 paid weeks for all parents to welcome newborns, adopted, and foster children.
- Various snacks, goodies, and 2 free lunches weekly when at the office.
Tech Stack
Apache AirflowApache SparkAWSDockerGoGoogle BigQueryGoogle Cloud PlatformKubernetesPythonPyTorchScalaSQLTensorFlow
Categories
AI & MLData EngineeringData Science