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Senior Data Scientist II
2 months ago
We are seeking a highly skilled Senior Machine Learning Engineer II to join our team at Carta, Inc. As a key member of our Machine Learning team, you will play a critical role in developing and deploying cutting-edge machine learning models to power our data products and automation capabilities.
Key Responsibilities- Partner with domain experts to analyze and explore our proprietary document repository and data set.
- Develop machine learning models to power new financial products, automate complex document workflows, and accelerate our business.
- Build and deploy containerized prediction services and integrate them with our data pipelines.
- Collaborate with product managers, engineers, designers, and business teams to incorporate ML-generated estimates and benchmarks into products and user-flows.
- Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning.
Our Machine Learning team is dedicated to developing data products and automation capabilities through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop estimation-based data products and large language model (LLM)-powered document intelligence capabilities.
Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. We foster a culture of partnership, working closely with teams across Carta to solve impactful problems.
The Impact You'll HaveYou will own significant projects that directly align with our company's strategic initiatives in document intelligence, data products, and data quality. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions.
You will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our machine learning models into production environments. Your work will not only impact our current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly.
About YouCandidates must have a strong foundation in statistics and machine learning, be proficient in SQL and Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by 'zero to one' projects, and can efficiently communicate findings to leadership.
We value candidates with:
- 5+ years of industry experience solving complex data problems with descriptive and predictive statistical models.
- Proficiency with modern programming languages (Python, R, SQL, etc.) and datastores (Redshift or similar).
- A deep understanding of modern statistical and machine learning models, when to apply them, and how to evaluate their performance.
- Experience with large language models (LLMs) and their applications in document intelligence, information extraction, and text classification tasks.
- Strong written and verbal communication skills, with a particular emphasis on data visualization.
- A collaborative attitude and a helpful personality.
- Experience with containerizing ML models and integrating them into production workflows.
- Experience with building simple ETL pipelines (Airflow or similar) to schedule model training / predictions.
