Data & ML Pipeline Software Engineer
Applied Intuition
16 days ago
Sunnyvale, CA, USA
Mid Level / Senior
H1B Sponsor
Base Salary
$150k - $200k/yr
Responsibilities
- Build and maintain large-scale data processing pipelines for driving datasets.
- Design and implement systems that automate data selection, labeling, training, and testing loops.
- Collaborate with modeling teams to improve training efficiency and model performance.
- Develop infrastructure that connects real-world test results with new model deployments.
- Use engineering expertise to enhance vehicle learning from data.
- Mentor junior engineers and define best practices for data-centric development.
Requirements
- 3–5 years of experience in software or data infrastructure engineering.
- Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure.
- Proficiency in Python and knowledge of data frameworks like Spark, Airflow, and Kafka.
- Experience with large-scale datasets and data-driven development cycles.
- Familiarity with machine learning workflows, especially automation of training and deployment.
- Strong systems thinking and ability to work across data, infrastructure, and ML.
Benefits
- Comprehensive health, dental, vision, life, and disability insurance coverage.
- 401k retirement benefits with employer match.
- Learning and wellness stipends.
- Paid time off.
Tech Stack
Apache AirflowApache KafkaApache SparkPython
Categories
AI & MLData Engineering