Member of Technical Staff, Data Engineering

Ring Inc; Remote; CAD 90,000 - 120,000; Full time

Job summary

A leading technology company is seeking a Member of Technical Staff, Data Engineering to develop scalable data pipelines and improve AI model performance. The ideal candidate will have strong Python skills and experience with large-scale data processing frameworks. This role offers flexible remote work options and a supportive, inclusive culture alongside excellent benefits and professional development opportunities.

Benefits

Open and inclusive work culture

Weekly lunch stipends, in-office meals, and snacks

Comprehensive health, dental, and mental health benefits

100% parental leave top-up for up to six months

Personal enrichment budget

6 weeks (30 working days) of vacation

Qualifications

• Strong software engineering skills, particularly in Python.
• Experience building and maintaining large-scale data pipelines.
• Familiarity with data processing frameworks such as Apache Spark, Apache Beam, or Pandas.
• Experience working with large-scale web datasets like CommonCrawl.
• Excellent collaboration and communication skills to work effectively across global teams.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Conduct data ablations and experiments to improve model performance.
• Implement robust data modeling techniques for efficient training.
• Collaborate with researchers and engineers to meet evolving needs.

Skills

Strong software engineering skills, particularly in Python

Experience building and maintaining large-scale data pipelines

Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas

Experience working with large-scale web datasets

Excellent collaboration and communication skills

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Member of Technical Staff, Data Engineering in United States, United Kingdom, France, Canada.

This role offers the opportunity to shape the foundation of cutting‑edge AI systems by managing and optimizing the data pipelines that power advanced language models. You will design and build scalable pipelines, curate high‑quality datasets, and ensure data is structured for optimal training efficiency. Working with diverse sources like web data, code repositories, and multilingual corpora, you will bridge research and engineering, enabling faster, more reliable model training. This position operates in a collaborative, fast‑paced environment where your contributions directly influence AI model performance and innovation. Flexible remote options are available, and you will interact closely with researchers, engineers, and cross‑functional teams globally.

Accountabilities

• Design, develop, and maintain scalable data pipelines for ingestion, parsing, filtering, and optimization of diverse datasets.
• Conduct data ablations and experiments to assess quality and improve model performance.
• Implement robust data modeling techniques to structure and format datasets for efficient training.
• Research and apply innovative data curation strategies to support advancements in natural language processing.
• Collaborate with researchers, engineers, and cross‑functional teams to meet the evolving needs of AI models.
• Ensure datasets are diverse, reliable, and optimized for throughput and accelerator utilization.

Requirements

• Strong software engineering skills, particularly in Python.
• Experience building and maintaining large‑scale data pipelines.
• Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or equivalent.
• Experience working with large‑scale web datasets (e.g., CommonCrawl).
• Passion for combining research and engineering to solve complex data challenges in AI.
• Excellent collaboration and communication skills to work effectively across global teams.

Nice to Have

• Publications at top‑tier AI and ML venues (NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, COLING, ACL, EMNLP).
• Experience with multilingual corpora and diverse data sources.
• Background in NLP or generative AI research.

Benefits

• Open and inclusive work culture with global collaboration opportunities.
• Weekly lunch stipends, in‑office meals, and snacks.
• Comprehensive health, dental, and mental health benefits.
• 100% parental leave top‑up for up to six months.
• Personal enrichment budget for arts, culture, fitness, well‑being, and workspace improvements.
• Remote‑flexible work options with offices in Toronto, New York, San Francisco, London, and Paris, including co‑working stipends.
• 6 weeks (30 working days) of vacation.