Staff Data Scientist, LegalZoom
AI/ML/LLM
$120-240k
Office located in Mountain View, CA
Online legal advice platform
Open for applications
Online legal advice platform
1001+ employees
Open for applications
$120-240k
Office located in Mountain View, CA
1001+ employees
Company mission
To make legal help should be a fundamental right, easy to understand, afford, and access.
Role
Who you are
- M.S. or Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, Statistics, or related quantitative field. (If M.S. degree, a minimum of 2+ years of industry experience required; if Bachelor's degree, a minimum of 3+ years of industry experience with ML models and systems)
- Expertise in Machine Learning algorithms and LLM architectures (e.g., transformer models, GPT-based models)
- Experience in developing, fine-tuning, and deploying LLMs and other advanced ML models in production environments
- Proficiency in Python
- Experience with cloud-based platforms and ML infrastructure (e.g., AWS, GCP, Azure) to scale model development and deployment
- Advanced SQL expertise for data manipulation and analysis
- Strong communication skills to explain complex ML and LLM concepts to non-technical stakeholders and influence decision-making at the leadership level
- Remote Employees should confirm that the internet service available has adequate bandwidth to support all work processes
What the job involves
- The Data Science and Engineering team at LegalZoom is transforming the way we leverage large-scale data to enhance decision-making across our products and services. Our team is at the forefront of applying Machine Learning (ML) and Large Language Models (LLMs) to shape operational strategies, improve customer experiences, and optimize our business processes
- As a Staff Data Scientist specializing in LLMs and ML, you’ll play a pivotal role in developing and deploying state-of-the-art models that drive key business decisions.
- You will collaborate with cross-functional teams, including Product Managers, Engineers, and Operations leaders, to apply advanced machine learning techniques and language models in areas such as customer interaction, automation, and self-service systems. You’ll address complex questions like: How do we improve the customer journey using ML? How can LLMs enhance our contact center operations? Where can we best deploy AI-driven automation?
- Lead the application of ML and LLM technologies to improve LegalZoom’s product offerings, from automating customer interactions to optimizing internal operations
- Drive operational and product strategies by considering long-term impacts of AI and ML solutions, not just immediate analysis
- Build, fine-tune, and deploy LLMs for various customer-facing applications such as chatbots, automated response systems, and content generation
- Design and conduct machine learning experiments, utilizing A/B testing, reinforcement learning, and causal inference, to validate hypotheses and optimize models
- Interpret results of ML models and experiments to make strategic and tactical recommendations to enhance customer engagement and internal efficiencies
- Develop scalable data pipelines and models to support the implementation of LLMs and other ML systems, ensuring robust, reliable performance
- Collaborate closely with Product, Engineering, Sales, and Operations teams to integrate ML/LLM solutions into their workflows and ensure they have the data-driven insights they need
- Continuously improve the team's machine learning codebase and best practices, with a focus on scalability, performance, and data hygiene
Our take
LegalZoom is an online legal technology service that can help people create their own legal documents. It believes legal advice and services should be clear, easy-to-understand, and affordable, and provides services to help people make a will, start a business, lodge a trademark application, and more.
LegalZoom has helped millions of people who otherwise could not hire a lawyer, with its extensive range of legal solutions. It competes with a handful of other companies, such as IncFile and Rocket Lawyer, that also provide online legal technology.
However, it has found space to grow its operations nonetheless, partially due to the rise in interest in digital solutions. An IPO in 2021 also enabled LegalZoom's growth, though in 2024 a class action is underway to investigate the company's significantly lowered share prices.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
7% employee growth in 12 months
Company
Funding (2 rounds)
Jul 2011
$66m
SERIES B
Mar 2007
$45m
SERIES A
Total funding: $111m
Company benefits
- Private healthcare
- Pension
- Eye care
- Discount legal fees
- Season ticket loan
- Cycle to work
- Fundraising match
- Life assurance
- Chill-out area
- Massages
- Office yoga
- Social events
Company values
- Join a Family: We care about everyone who works with us. Solidarity and having fun is the only way to do good work
- Get Rewarded: Good people need good salaries, plenty of holidays, good private healthcare and loads of other perks
- Do Something Worthwhile: For too long, the law has been complex, forbidding and wildly expensive. Help us make it clear, simple and affordable
Company HQ
Downtown, Glendale, CA
Articles
Leadership
Robert Shapiro
(Co-founder)Co-founder of ShoeDazzle.com and Chairman of the Brent Shapiro Foundation for Alcohol and Drug Awareness.
Brian Lee
(Co-founder)Co-founder of ShoeDazzle.com and The Honest Company. Previously Attorney at Skadden Arps. J.D of Law at UCLA School of Law.
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