Similar Jobs
Artificial Intelligence • HR Tech • Software • Generative AI
Create end-to-end computer-use tasks for AI agents in Linux desktop environments. Design realistic multi-application scenarios, prepare files and instructions, write Python setup and automated scoring scripts, test tasks, and document them. The contract requires daily check-ins, rapid feedback, and availability throughout a three- to four-week engagement. Experience with AI tools, AI/ML projects, Linux VMs, Git, reinforcement learning environments, or computer-use benchmarks is relevant.
Top Skills:
Ai/MlGitLinuxOsworldPythonReinforcement Learning EnvironmentsUbuntuVirtual Machines
Insurance
Operate and improve enterprise AI/ML platforms across Palantir Foundry, AWS Bedrock, and Amazon SageMaker. Responsibilities include deployment, monitoring, observability, automation, governance, model lifecycle management, incident response, root cause analysis, CI/CD, infrastructure as code, and production reliability. The role provides technical leadership and mentorship while partnering with data, infrastructure, security, architecture, product, and engineering teams to support cloud-based AI workloads and Generative AI adoption.
Top Skills:
Amazon CloudwatchAmazon SagemakerAWSAws BedrockCi/CdDatabricksDatadogGenerative AiGithub ActionsGrafanaInfrastructure As CodeJavaJavaScriptJenkinsLarge Language ModelsMavenMlopsNode.jsOpentelemetryPalantir FoundryPrometheusPythonRetrieval-Augmented Generation (Rag)SplunkTypescript
Cloud • Software
Design, build, and operate production AI platform capabilities and agentic workflows. Collaborate on architecture, write production-quality backend code, mentor developers, troubleshoot production issues, and drive adoption of reusable AI frameworks, MLOps practices, and cloud-native intelligent services across a multi-tenant SaaS dental platform.
Top Skills:
Amazon BedrockAnthropicAPIsClaude CodeCloud-Native ArchitecturesCursorGithub CopilotLanggraphLlmsMachine LearningMcp ServersOpenaiPythonRetrieval-Augmented Generation (Rag)Semantic SearchVector Databases
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 [email protected].
Compensation
Base salary range by location:
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. In addition to base salary, this role may include variable compensation and be eligible for an equity grant, depending on the position and level.
Base salary range:
$132,000—$190,000 USD
By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.
Rocket Lawyer San Francisco, California, USA Office
182 Howard St, San Francisco, CA, United States, 94105
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
