Senior Software Engineer, Machine Learning Infrastructure - Generative AI
San Francisco, CA, United States
Compensation: USD 167800 - USD 246800
Senior Software Engineer, Machine Learning Infrastructure - Generative AI 🧠✨
Location: San Francisco, CA (Hybrid - 3 days/week in-office)
About Us:
Join DoorDash, where we’re revolutionizing the world’s on-demand logistics engine! 🚀 Our Machine Learning Platform (MLP) fuels real-time decision-making for millions of orders daily, impacting Ads, Groceries, Logistics, Fraud detection, and Search functionalities.
Role Overview:
As a Senior Software Engineer, you will leverage your backend, data, and ML infrastructure expertise to develop efficient machine learning systems, particularly in the Generative AI space. Collaborate with a passionate team of Data Scientists and ML Engineers, directly impacting critical business functions.
Key Responsibilities:
- Build reliable, high-quality products powered by Generative AI 🌌.
- Develop a user-friendly ML platform that enables rapid iteration and deployment of GenAI solutions.
- Collaborate with various engineering teams to adapt the ML platform to meet diverse use cases.
- Design scalable, high-performance ML pipelines, adapting swiftly to new technologies.
- Enhance the reliability and scalability of our GenAI infrastructure, including model serving and fine-tuning systems.
Qualifications:
- B.S., M.S., or PhD. in Computer Science or a related field.
- Strong foundation in computer science and proficiency in Python.
- 4+ years of software engineering experience, especially in building and deploying ML systems.
- Hands-on experience developing and testing machine learning models 🧪.
- Experience with cloud environments and distributed systems.
Preferred Skills:
- Familiarity with Python ML libraries (e.g., Pandas, PyTorch, TensorFlow).
- Experience with technologies like Spark, Databricks, Airflow, or Dagster.
- Knowledge of large language models (e.g., GPT, Gemini) and fine-tuning practices.
- Prior experience in cloud platforms (AWS or GCP).
Compensation & Benefits:
- Salary Range: $167,800 - $246,800 USD, based on experience and location. 💰
- Equity grant opportunities.
- Comprehensive benefits package: 401(k) matching, paid time off, medical/dental/vision insurance, wellness benefits, and more.
About DoorDash:
We’re committed to empowering local economies and innovating beyond food delivery 🚴♂️, welcoming unique perspectives and fostering diverse teams. Our mission is to create a tech-driven logistics platform that enhances lives.
Diversity & Inclusion:
We embrace a diverse workforce 🤝. Everyone is encouraged to apply, irrespective of race, gender, ethnicity, or background. Our workplace thrives on inclusivity and collaboration.
Ready to make an impact? Apply now! 🌟