СШАMember of Technical Staff, Data
1 мес. назад
180k–240k USD / годСШАLeadHybrid
sql
Build and maintain business-critical data pipelines and data models to support analytics, experimentation, and forecasting for enterprise AI platform.
О компании
- is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
- Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
- Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
- Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
- Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
- AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Обязанности
- We are seeking a Member of Technical Staff, Data to build business-critical data pipelines as our data platform scales. Our business teams need data for analytics, experimentation, and forecasting to support ’ growth. You will partner with these business teams and with our data platform engineers to design thoughtful data models, engineer the pipelines, put them in production, and ensure they give consumers the data they need to act decisively.
- You’re a good fit for this role if you enjoy operating highly autonomously, if your working style stresses both efficiency and correctness, and if you love bringing structure to complex and messy questions.
Будет плюсом
- Proficiency in Python or similar languages.
- Experience with Google BigQuery.
- Experience working with dbt, Coalesce, Airflow, or similar.
- Experience using a data quality or observability tool (Bigeye, Monte Carlo, Great Expectations, or similar).
Другое
- 5+ years in data engineering or similar roles.
- Strong proficiency in SQL both for querying and for writing pipeline jobs.
- Experience translating business needs into clear metrics, dimensions, and a data model.
- Hands-on experience building and maintaining production data pipelines.
- Excellent communication with senior level stakeholders, technical and non-technical.
- Demonstrated autonomy in an environment with open ended problems.
- Availability to work in office in San Mateo 3x days per week.