2 месяца назад
Data Scientist II (AI/ML)
97 000 - 184 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist II (AI/ML): Developing and deploying machine learning systems for content classification, enrichment, recommendations, search, translation, and other media applications with an accent on NLP, LLMs, generative models, and large-scale data processing. Focus on building production ML pipelines, processing massive datasets with Python, SQL, and Spark, and solving complex modeling challenges with cross-functional teams.
Location: Hybrid Flex model with occasional in-person attendance required. Primary residence must be in or near an approved city in the United States, Canada, or Mexico.
Salary: $97,000–$175,000 annually in the United States outside California; $118,000–$184,000 annually in California. Canadian range: CAD 123,000–150,000 annually.
Company
develops digital content products including , SlideShare, Everand, and Fable to help people access knowledge and expertise.
What you will do
- Develop and deploy machine learning models for content classification and other high-impact AI use cases.
- Apply traditional NLP, LLMs, generative models, classical algorithms, and custom neural networks.
- Investigate solutions to challenging problems involving large-scale data and production systems.
- Process massive datasets using Python, SQL, Spark, and related tools.
- Collaborate with Data Scientists, Machine Learning Engineers, ML Data Engineers, Product, and other stakeholders.
- Communicate project approaches and results and maintain clear technical documentation.
Requirements
- 3+ years of post-qualification experience developing machine learning models, working at scale, and deploying to production.
- Proficiency in Python.
- Hands-on experience building ML pipelines and using distributed data processing frameworks such as Apache Spark or Databricks.
- Intermediate experience in at least three areas including classification, NLP, search, information retrieval, named entity recognition, deep learning, and generative models.
- Intermediate or greater experience with SQL or PySpark.
- Bachelor's or master's degree in a relevant quantitative discipline such as Statistics, Computer Science, Data Science, or Artificial Intelligence.
Culture & Benefits
- Flexible Flex work model with intentional in-person collaboration.
- Health, dental, vision, mental health, and disability coverage.
- Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
- Paid parental leave, family support, retirement matching, and employee equity.
- Learning and development programs, wellness and home office stipends, and access to products and leading AI tools.
Hiring process
- Reasonable interview accommodations are available upon request.
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