Senior Machine Learning Engineer

2 months ago

Kitchener, Ontario, Canada CARTA Full time
About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Carta. 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 Carta's proprietary document repository and data set.
  • Develop machine learning models to power new financial products and to extract trends from performance of existing products.
  • 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.
About You

We are looking for a highly motivated and experienced Senior Machine Learning Engineer with a strong foundation in statistics and machine learning. You should have a deep understanding of modern statistical and machine learning models, as well as experience with large language models (LLMs) and their applications in document intelligence, information extraction, and text classification tasks.

You should also have strong written and verbal communication skills, with a particular emphasis on data visualization, and a collaborative attitude and a helpful personality.

What We Offer

Carta offers a competitive salary, equity for all full-time roles, exceptional benefits, and commissions plans for applicable roles. Our minimum cash compensation range for this role is $181,900 - $214,000 in San Francisco, CA; Santa Clara, CA.

We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the recruiter via email.

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