About Rocket Lawyer

We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.

We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company’s history, to capture audiences worldwide. We are expanding our team to take on this challenge!

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments.

How you will make a difference day to day

Build, train, fine-tune, deploy and maintain ML models for AI features
Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
Keep up-to-date with industry trends around generative AI and machine learning
Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

5+ years of Experience writing ML code for launched products
Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
Strong programming skills in Python and SQL
BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
Unlimited PTO
Competitive salary packages
Life insurance
Disability benefits
Supplemental Optional Life Insurance Benefits
FSA Options Optional
HSA with Company Match
401k program with Company Match
Fertility Assistance and Planning options
Wellhub & ClassPass fitness platforms
Comprehensive Pet Insurance options
Financial Wellbeing & Student Loan Program access
Access to additional Mental Health & Wellbeing resources
Pre-tax Commuter/Transit Benefits
Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates

Interview Process:

Recruiter Phone Screen
Role Assessment(s)
Hiring Manager Interview
Panel Interviews
Final Interview

Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.

All your information will be kept confidential according to EEO guidelines.

You may request reasonable accommodations by sending an email to hr@rocketlawyer.com.

Compensation
Base salary range by location:

SF Bay Area: $165,000 - $190,000
California: $155,000 - $180,000
Colorado: $140,000 - $165,000
Arizona/Utah/North Carolina: $132,000 - $155,000

Actual compensation packages are determined by various factors unique to each candidate, including but not limited to skill set, depth of experience, certifications, specific work location, and performance during the interview process.

$132,000—$190,000 USD

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