Senior Software Engineer, Machine Learning

Key Skills

Amazon RedShift, Apache Airflow, AWS, Cloud computing, Data Analytics, Data Manipulation, Databricks, Kubernetes-K8s, Pandas, PostgreSQL, Project management, Python Programming, SPARK Programming, SQL

Job Description

We are looking for a Senior Software Engineer to join our Media Buying Intelligence team at San Francisco, California, United States, which is responsible for applying machine learning models to the media buying “flywheel at the core of Tatari's business. The Intelligence team is also responsible for developing our MLOps platform used across the organization. Your work will affect thousands of buying decisions every day and will have a direct impact on Tatari’s business.

As a Senior Software Engineer you will play a leading role in the evolution and scaling of our ML platform. You’ll contribute to system architecture decisions, mentor junior team members, work closely with data science, promote best practices, and ship high quality code to production. At Tatari you are empowered to do your best work at a sustainable pace with a stellar group of smart, creative, and humble human beings. Come join the band and let’s play some jazz!

Responsibilities:

• Architect and drive the development of robust, performant, and scalable ML services at the core of Tatari’s business
• Collaborate across the organization on system architecture, technology, and scaling decisions
• Design relational and non-relational data models for optimal storage, retrieval, and complex processing
• Participate in technical architecture discussions and peer code reviews
• Ship solid Python code to our production environment running on AWS, Postgres, Redshift, K8s, Airflow, Spark, Databricks, etc.

Qualities We’re Looking For (Archetype of a Tatarian):

• You’re hungry, humble, smart, and pragmatic
• You take initiative and ownership
• You thrive in an empowered team built on trust and respect
• You value mentorship and your role helping the team level up
• You love learning and honing your craft
• You value shipping early and often and make good trade-off decisions to get stuff done

Qualifications:

• 5+ years developing distributed systems with object-oriented and/or functional programming languages - Python preferred
• 2+ years with a modern data stack (RDS, Redshift, Kafka, Spark, Airflow, Databricks, lakehouse architectures, etc.)
• Deep SQL and data modeling expertise
• Experience working with data scientists and productionizing machine learning models
• Experience building end to end machine learning pipelines
• Experience working across the organization delivering on large impact initiatives

Benefits:

• Competitive salary
• Equity compensation
• 100% health insurance premium coverage for you and your dependents
• Unlimited PTO and sick days
• Snacks, drinks, and catered lunches at the office
• Team building events 
• $1000 annual continued education benefit
• $500 WFH reimbursement
• $125 pre-tax monthly stipend to spend on whatever you want
• Annual mental health awareness app reimbursement
• FSA and commuter benefits
• Monthly Company Wellness Day Off (During WFH)

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.