Job Application for Senior Machine Learning Engineer II at Carta Back to jobs Senior Machine Learning Engineer II London, England, United Kingdom Apply The Company You’ll Join Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit. Trusted by 65,000+ companies in 160+ countries, Carta’s platform of software and services lays the groundwork so you can build, invest, and scale with confidence. Carta’s Fund Administration platform supports 9,000+ funds and SPVs, representing nearly $185B in assets under management, with tools designed to enhance the strategic impact of fund CFOs. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work, Carta is shaping the future of private market infrastructure. Together, Carta is creating the end-to-end ERP platform for private markets. Traditional ERP solutions don’t work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta’s software for the Office of the Fund CFO does just that - it’s a new category of software to make private markets look more like public markets - a connected ERP for private capital. For more information about our offices and culture, check out our Carta careers page . The Problems You'll Solve 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 II at Carta, you'll spend your time building agentic systems to power new products, automate complex document workflows, and accelerate Carta's business. You will also work closely with the SRE team to develop Carta's infrastructure around LLM integration and agentic processes. Example
responsibilities will include: Develop agentic systems to classify, extract and review data from complex financial and legal documents. Develop agentic systems for document acquisition and management. Partner with product managers, engineers, designers, and business teams to incorporate agentic and LLM-powered products and user-flows. Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning.
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 LLM-powered and agentic systems for document intelligence, fund administration, legal tech, customer onboarding and more. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our systems 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 agentic systems, AI adoption and document intelligence. 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 agentic and LLM-powered systems 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 machine learning and software development, be proficient in 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: 8+ years of industry experience solving complex data problems with descriptive and predictive statistical models Proficiency with AI-assisted software development, multi-agent development, skills & AI integration into development processes Experience with large language models (LLMs) and their applications in document intelligence Experience using LLMs and agentic frameworks such as Agno, Anthropic’s Agent SDK, Strands Agents SDK, A2A, LangChain or similar Experience with LLM observability and evals platforms such as Braintrust, Weights&Biases, LangFuse or similar Strong written and verbal communication skills A collaborative attitude and a helpful personality Experience building durable workflows in e.g. Temporal Disclosures: 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 talent partner via email. Carta uses E-Verify in the United States for employment authorization. See the E-Verify and Department of Justice websites for more details. For information on our data privacy policies, see Privacy , CA Candidate Privacy , and Brazil Transparency Report . Please note that all official communications from us will come from an @carta.com or @carta-external.com domain. Report any contact from unapproved domains to [email protected]. Create a Job Alert Interested in building your career at Carta? Get future opportunities sent straight to your email. 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Salary
$100,000 - $220,000
Location
London, England, United Kingdom
Experience
8+ years
Total raised
$300.0M
Last stage
Growth
Investors
Henry Ward
CEO
Manu Kumar
Chairman
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.