- Perform exploratory analyses to understand the dynamics of private markets and ownership from source-of-record documents and systems.
- Develop LLM-powered pipelines to classify complex legal documents and extract key information from these docs to automate onboarding to our suite of products.
- 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.
- Partner 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.
- 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
- Alcohol or other substance use disorder (not currently using drugs illegally)
- Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
- Blind or low vision
- Cancer (past or present)
- Cardiovascular or heart disease
- Celiac disease
- Cerebral palsy
- Deaf or serious difficulty hearing
- Diabetes
- Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
- Epilepsy or other seizure disorder
- Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
- Intellectual or developmental disability
- Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
- Missing limbs or partially missing limbs
- Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
- Nervous system condition, for example, migraine headaches, Parkinson's disease, multiple sclerosis (MS)
- Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
- Partial or complete paralysis (any cause)
- Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
- Short stature (dwarfism)
- Traumatic brain injury
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Senior Machine Learning Engineer II - Waterloo, ON, Canada - Carta, Inc.
Description
Carta is a platform that helps people manage equity, build businesses, and invest in the companies of tomorrow. Our mission is to unlock the power of equity ownership for more people in more places.
Carta is trusted by more than 40,000 companies and over two million people in nearly 160 countries to manage cap tables, compensation, and valuations. Carta also supports nearly 7,000 funds and SPVs, and represents nearly $130B in assets under administration. Carta's tender offer solutions have returned $14B to shareholders in secondary transactions. Today, Carta's platform manages nearly three trillion dollars in equity globally.
At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.
As a Senior Machine Learning Engineer at Carta, you'll spend a third of your time partnering with domain experts across the company to analyze and explore Carta's proprietary document repository and data set. Another third will be dedicated to building machine learning models to power new products, automate complex document workflows, and accelerate Carta's business. The remaining third will involve developing Carta's machine learning infrastructure. Example responsibilities will include:
The Team You'll Work With
At Carta, our Machine Learning team is on a mission to power data products and automation 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. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our models directly enable revenue growth and operational efficiency for the company.
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. We strongly believe that being helpful accelerates results, and we support one another to achieve success at Carta.
The Impact You'll Have
You will own significant projects that directly align with the 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. Additionally, 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 Carta's current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly.
About You
Candidates 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. Example traits that we value:
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. As a company, we value fairness, helpfulness, transparency, leadership and build our teams around these values. Check out our careers page to get to know us better as you think about your next step at Carta.
Important Security Notice for Candidates
Our company has been targeted by individuals creating fake domains similar to ours to scam prospects and candidates. Please note that all official communications from us will come from an domain . Be cautious of any requests for sensitive information or payments outside of our official channels. For more information about this type of scam, please review the guidelines provided by the Federal Trade Commission (FTC). If you encounter any suspicious activity, please report it immediately to recruiting- .
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For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.
As set forth in Carta's Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.
Gender Please select Gender Are you Hispanic/Latino? Please select Are you Hispanic/Latino? Race & Ethnicity DefinitionsIf you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:
A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.
A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order
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