Sr. Software Engineer, Machine Learning Infrastructure

$180,000 - $220,000/Yr

Match Group - Palo Alto, CA

Full-time - Mid Level

Palo Alto, CA

Personal and Laundry Services

About the position

The Sr. Software Engineer role at Tinder focuses on shaping and developing the future of the company's Machine Learning infrastructure. This position is crucial for empowering teams to rapidly test hypotheses and scale experiments on massive datasets, ultimately enhancing the user experience. The role involves collaboration with multiple machine learning teams to drive impactful innovations and requires a strong technical background in machine learning and data engineering.

Responsibilities

• Build robust and scalable infrastructure to support the diverse needs of machine learning engineers across all Tinder business units.
• Set future technical directions for Tinder's ML infrastructure.
• Mentor junior team members.
• Leverage your experience to drive best practices in ML and data engineering.
• Collaborate with cross-functional agile teams of software engineers, data engineers, ML experts, and others in building new product features.

Requirements

• 5+ years of experience with developing platforms related to machine learning training, serving, feature management, experimentation, etc.
• Bachelor's degree in Computer Science, Engineering, Technology, or a related field.
• Strong understanding of data-driven development, reliability principles, and responsible experimentation practices.
• Extensive experience with big data processing and storage frameworks such as Hadoop, Spark, Flink, Cassandra, or Kafka.
• Solid foundation in machine learning concepts like regression, classification, clustering, training, testing, validation, and performance measurement.
• Proven ability to lead cross-functional initiatives, communicate effectively, and collaborate in team-oriented environments.

Benefits

• Competitive salary range of $180,000 - $220,000 based on experience and qualifications.
• Hybrid work model with in-office collaboration twice per week in Palo Alto, CA.
• Commitment to diversity and inclusion in the workplace.