The Auth0 Team

Auth0 is an easy-to-implement authentication and authorization platform designed by developers for developers.  We make access to applications safe, secure, and seamless for the more than 100 million daily logins around the world. Our modern approach to identity enables this Tier-Ø global service to deliver convenience, privacy, and security so customers can focus on innovation.

This team focuses on providing tenant-level protections to our customers, at scale. From bot detection to brute-force to suspicious IP throttling and beyond, this team often provides the first line of defense for Auth0 customers.

The Staff Software Engineer 

At Okta, we’re building the next generation of authentication for the GenAI era. 

We’re looking for a Staff Software Engineer to join the AI DevEx team at Auth0. This role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI agents to build secure, intelligent applications.

Auth0 Emerging Tech is the Engineering organization where we take care of the hottest technology out there: we ship fast, we don't break things. We are a dynamic and collaborative distributed and diverse team. We value ownership, learning and innovation.  

This is an ideal role for an engineer who enjoys building for other engineers, working across stacks, and shaping the future of AI enablement in production systems. You'll collaborate across engineering, product, and security teams to drive meaningful improvements in developer tooling, agent authentication, orchestration frameworks, and real-world demos.

What you will be doing:

• Design and Build Developer Tooling that helps developers secure and manage infrastructure like MCP servers
• Build Demo Applications that showcase secure, identity-powered AI use cases in real-world environments
• Contribute to Open Source Projects, both within Auth0 and across the broader AI + identity ecosystem
• Write and Maintain High-Quality Documentation including API references, quickstarts, and best practices for both developers and AI-native tooling (e.g., llm.txt)
• Drive Integration with Emerging AI Frameworks by creating adapters, utilities, and interfaces for agent runtimes and orchestration layers
• Collaborate with Design, Product, and Security teams to align on developer needs, roadmap direction, and compliance requirements
• Mentor and Support Other Engineers, setting strong examples in code quality, testing practices, and architectural thinking
• Influence Engineering Standards by leading design discussions and contributing to team-wide architectural decisions
• Ensure Resilience and Security of systems involved in agent-to-agent or model-to-service communication

You Might Be a Good Fit If You

• Experience in software engineering with a proven track record in building tools, frameworks, or platforms for other developers
• Proficiency in JavaScript/TypeScript, Golang and/or Python, and the ability to move fluidly between front-end and back-end contexts
• Experience working with LLM APIs, agent runtimes, orchestration layers, or prompt pipelines
• Familiarity with authentication and authorization systems, especially standards like OAuth2, OIDC, and JWT
• Demonstrated experience leading architecture and design efforts for scalable, production-grade systems
• Comfort contributing to and maintaining open source projects and engaging with developer communities
• A passion for documentation as part of the developer experience—not just writing code, but making it understandable and usable
• Ability to thrive in highly collaborative environments with cross-functional stakeholders

Technologies You May Work With

• Languages: JavaScript, TypeScript, Python
• Frameworks: React, Next.js, FastAPI
• AI Ecosystem: Model APIs, orchestration runtimes, prompt management systems, agent toolkits
• Auth0 Stack: Token Vault, Async Authorization, Fine-Grained Authorization (FGA)

#LI-Hybrid

P23578_3268067

Senior Full-stack Engineer

Location: Hybrid- San Francisco OR Palo Alto Office, Tuesday/Thursday

The difference you will make

We're looking for a senior fullstack engineer to join our growing team as we rapidly scale towards our mission of revolutionizing healthcare. You will focus on our Care Delivery product vertical, building and integrating products that extend across the entire clinician and operational lifecycle at Midi. You will also drive large projects through all developmental stages - early brainstorming and requirements refining, architectural design, execution, testing, rollout and iteration.

If you are a highly motivated, pragmatic engineer looking for a dynamic role in a mission driven company, this role is for you! 

What you will do

• Work collaboratively with other engineers, PM’s and clinical stakeholders to enhance existing products and bring new products to life
• Build and own clinician and operations facing products end-to-end
• Craft exceptional, thoughtful, scalable and flexible products and code, balancing for speed of execution and scalability
• Actively contribute to and influence engineering processes, culture, practices, and systems
• Analyze complex technical problems and architect elegant and effective solutions
• Review code and collaborate with teammates on technical decisions

About You

• You have 6+ years of experience building scalable engineering solutions across the stack.
• You have experience with Python-based web frameworks (e.g., Django, FastAPI) or comparable technologies.
• You have experience building operational and workflow management systems. 
• You possess a proactive ownership mindset.
• You are a believer in automated testing, continuous integration, and high code quality.
• You have interest and experience in coaching/mentoring junior engineers.
• You take a collaborative approach to building software with both engineering and non-engineering team members.
• You help create a respectful, low-ego team environment, approaching discussions with curiosity and humility.

Nice to Have

• EHR integration experience

Interview Process:

• Recruiter Screen (30 min)
• Hiring Manager Screen (45 min) 
• Live Technical Assessment (90 min)
• On-Site Interview and lunch (150 min)

At this time, Midi Health is not able to sponsor or take over sponsorship of any employment visa (including H-1B, TN, or other work authorization). Applicants must be authorized to work in the U.S. without current or future visa sponsorship.

While you are waiting for us to review your resume, here is some fun content to check out. 

Midi 2024 in Review

Women Leaders Invest in Midi

Patient Testimonials

At Midi Health, we are committed to pay transparency and equity. The estimated salary range for this role is $170,000-$210,000 per year, based on factors such as experience and skills. In addition to base salary, employees are eligible for a wide range of benefits and equity in the company,

We believe in fair and competitive compensation practices that align with our values of equity and inclusion. If you have any questions about how we determine pay, we’re happy to discuss further in the hiring process.

#li-ps1

Position Summary: We need a Staff Software Engineer to build AI services for our Revenue Cycle Management (RCM) systems. You will build autonomous agents to process Explanation of Benefits (EOBs), navigate payer rules, and automate billing workflows. Your work directly impacts how smoothly patients access our genetic testing by removing friction from the billing process.

Primary Responsibilities

• Design and deploy FastAPI services that wrap LLM calls, maintain stateful agent loops, and expose REST/GraphQL endpoints.
• Build intelligent agents to handle unstructured medical documents using vision-augmented NLP and multimodal LLMs.
• Develop agentic RAG pipelines to surface billing codes and payer-specific rules.
• Containerize and operate the stack on AWS ECS/Fargate.
• Own the infrastructure as code pipelines for daily deployments.
• Instrument services with OpenTelemetry, Grafana, and Sentry to track denial rates and turnaround times.
• Extend our React UI to let human operators launch agents and inspect evaluation traces.
• Ensure all features meet HIPAA, SOC 2, and internal security benchmarks.

Qualifications

• Advanced Python development experience with a focus on FastAPI for asynchronous services.
• Experience with LLM orchestration (LangGraph, CrewAI) and building agentic workflows.
• Proficiency using AI-augmented development tools (Claude Code, Gemini, Cursor).
• Experience with AWS infrastructure (ECS/Fargate, Lambda, S3) and CI/CD pipelines.
• Experience in medical billing, RCM, or healthcare technology.
• Ability to process unstructured healthcare data and work with multimodal AI.
• Clear communication skills to align requirements across compliance, finance, and engineering.
• A production-first mindset. You operate and monitor the code you write.
• Ability to build inside regulated healthcare frameworks. We treat quality and compliance as features.

Nice to Have

• Experience integrating external applications with a LabVantage LIMS.
• Experience configuring and upgrading LabVantage LIMS to support order-to-result workflows.
• Front-end web programming experience with modern JavaScript frameworks (React, Angular).
• Knowledge of Typescript and relational databases (Oracle).

#LI-DNI

Who We Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
 
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
 
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
 
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

About the Role

As a Senior Back-end Engineer at Inversion, you will work as part of the simulation team to design, develop, and maintain the architecture and server-side logic of the applications that support the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the design and development of data management and self-service tools that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.

What You'll Do

• Design, deploy, and maintain the server-side logic and infrastructure of the applications that support simulation workflows, including high-performance computing (HPC), software-in-the-loop (SIL) testing, and hardware-in-the-loop (HIL) testing
• Select a back-end tech stack that ensures the performance and scalability of our applications
• Design and implement a back-end architecture that strikes the right balance between simplicity and flexibility
• Design and develop databases architectures and data pipelines to meet configuration and data management needs
• Leverage self-documenting API tools and technologies to develop robust and efficient APIs
• Leverage modern web frameworks to develop server-side logic
• Work with front-end engineers to integrate the front-end with the back-end and deliver a smooth user experience (UX)
• Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows

Required Qualifications

Candidates must meet all of the following qualifications to be considered for this position:

• 6+ years of professional experience in back-end or full-stack development
• Expertise in back-end engineering and best practices
• Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
• Experience with Linux-based systems
• Experience with modern DevOps practices
• Experience with one or more back-end architectures (monolithic, modular, serverless, event-based, microservices, etc.)
• Experience with one or more API architectures (REST, GraphQL, gRPC, WebSockets, Webhooks, etc.)
• Experience with one or more database systems (MySQL, Oracle, MongoDB, DynamoDB,  InfluxDB, etc.)
• Experience with cloud computing platforms (AWS, Azure, GCP, OpenStack, CloudStack, etc.)

The ideal candidate will also meet one of the following qualifications:

• Expertise in database administration for both SQL and NoSQL databases
• Expertise in SaaS/PaaS development
• Expertise in network administration

Desired Qualifications

• Extensive experience with Python and Python-based web frameworks (Django, Flask, Quart, FastAPI, etc.)
• Extensive experience with C/C++ or Rust
• Experience with async and multithreaded architectures
• Experience with time-series databases (InfluxDB, QuestDB, TimescaleDB, Prometheus, etc.)
• Experience with message-oriented middleware (NATS, Apache Kafka, RabbitMQ, etc.)
• Familiarity with one or more front-end JS frameworks (React, Angular, etc.)
• Familiarity with one or more open-source cloud computing platforms (OpenStack, CloudStack, etc.)
• Familiarity with containerization (Docker, Docker Compose, etc.) and orchestration (Kubernetes, Docker Swarm, etc.)
• Familiarity with system observability tools (Prometheus, Grafana, ELK, etc.)

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.

_{The California annual base salary for this role is currently $139,000 - $201,000.  Pay Grades are determined by role, level, location, and alignment with market data.  Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.} 

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

As a Data Software Engineer, you will be at the forefront of supporting our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements, create and optimize system models, and develop robust data integration solutions. Through engagement with cross-functional teams, you will refine, test, and develop data solutions to meet complex business needs. You will have an impact on our data systems, driving innovation and efficiency in our data integration processes and our reporting capabilities. Your work will enhance our ability to leverage data for strategic decision-making and operational excellence. 

Responsibilities:

• Extend database models, front-end frameworks, and REST APIs for data system integration and application performance.
• Develop and maintain robust query pipelines for accurate and timely data processing from various sources.
• Support, enhance, and troubleshoot existing data integration systems and reporting infrastructure.
• Write clean, efficient, and well-documented code.
• Collaborate with cross-functional teams to design, develop, and deploy new features.
• Conduct root cause analysis, code reviews, and unit testing in partnership with experienced team members.
• Assist fellow engineers and managers with data queries, development of data processing algorithms, feature enhancements, bug issues, and application navigation.
• Provide comprehensive support and timely resolution for internal customer issues.
• Demonstrate strong problem-solving and decision-making skills with sound judgment.  

Experience/Qualifications:

• Bachelor’s degree in computer science, Math, Physics, Engineering, or related field.
• 3+ years of professional experience in Software Engineering, with a focus on developing and maintaining scalable applications.
• Knowledge of Python and SQL programming languages and integrations.
• Proficiency in data modeling and database design principles.
• Experience designing data-intensive applications using Python frameworks such as Flask, Django, FastAPI, etc.
• Experience with data visualization tools such as: Tableau, PowerBI, Python Dash, or JMP.
• Competency in web application programming and markup languages including JavaScript, HTML, CSS, and related frameworks.
• Practical experience using Git for version control and collaborative software development.
• Proficiency with software development best practices including design, documenting, testing, and debugging.
• Experience with ETL and data ingestion processes and pipelines. 

Preferred Skills & Experience: 

• Familiarity with semiconductor testing and design principles or prior experience in designing data-driven applications in semiconductor industries.
• Experience with data manipulation and scientific computing Python tools and packages, including but not limited to Pandas, NumPy, SciPy, Matplotlib, Jupyter, etc.
• Experience in designing CI/CD pipelines and orchestrating automated deployments. 

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

WHAT YOU'LL DO

• Build sophisticated data triage and exploration interfaces that enable users to filter, analyze, and investigate data across millions of records
• Design and develop web front-end visualization tools for Zipline's data pipelines, enabling high-quality analysis to solve critical autonomy problems
• Build scalable and performant backend APIs and realtime data pipelines to support complex querying, filtering, and aggregation across large datasets
• Design and implement efficient database schemas, indexes, and query optimization strategies to ensure performant search and analysis at scale
• Collaborate closely with engineering teams to understand workflows and deliver tools that improve operational efficiency and data-driven decision making

WHAT YOU'LL BRING

• Demonstrated experience building production-grade full stack web applications
• Proven ability to work closely with internal customers and deliver software end-to-end in order to address diverse needs
• Strong experience with data-heavy web applications and performance optimization for large datasetsUnderstanding of database query optimization and working with complex JSON/nested data structures
• Strong user-centered design thinking - ability to iterate with users and translate complex technical requirements into intuitive UX
• Expertise in modern front-end (Typescript, React, Zustand, Storybook, Playwright)
• Experience with backend frameworks for API design (Django, Flask, FastAPI)
• Working knowledge of cloud databases (e.g. AWS RDS, DocumentDB)

What Else You Need to Know   

🚀SR SOFTWARE ENGINEER WANTED - DRIVE MEANINGFUL IMPACT AT HYPERGROWTH VENTURE🚀

Are you driven by impact, ownership, and a passion for elegant yet efficient systems?

⚙️What You’ll Do⚙️

• Build responsive frontend applications for complex ad operations workflows
• Deploy and maintain production cloud infrastructure (AWS/GCP/Azure) with CI/CD, monitoring, and scaling
• Collaborate on system architecture decisions supporting multiple AI agent integrations

🎮Technical Requirements🎮

Must-Have:

• Languages: JavaScript expertise with modern frameworks (React/Vue/Angular), Python expertise, and experience with at least one low-level language (C, C++, Rust, Zig, or similar)
• Experience: Building large-scale SaaS platforms from scratch; Cloud deployment and DevOps

Preferred Technologies:

• React/Next.js/Vue.js, FastAPI/Django/Flask, Docker/Kubernetes, PostgreSQL/MongoDB/Redis, Temporal/Airflow/Dagster), Kafka/RabbitMQ, AuthN and AuthZ

🧬Who You Are🧬

A driven overachiever with an owner mindset.

You're not just a coder - you're an architect who sees the big picture while mastering the details. You take pride in building high-quality systems that deliver results. You push yourself to solve problems others can't and constantly seek to expand your technical horizons.

💵Comp & Benefits 💵

Salary: 

$120-180k Base depending on experience

• Performance Bonus Eligible

Benefits include:

• Health, Dental, Vision coverage
• Unlimited PTO
• 401k + matching 
• Life Insurance
• Parental Leave
• And more ✨

🛸Why Join Us🛸

We're experiencing exceptional growth in a contracting market. We combine startup agility with established financial stability. You'll work on exciting challenges with a brilliant team of like-minded professionals who value both technical excellence and creative problem-solving. You'll have immediate impact on critical systems and clear paths for professional advancement.

This isn't just another job - it's your chance to build something meaningful with people who are as passionate and talented as you are.

🧩If this sounds like you - we’d love to talk! Apply here >>

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Senior Machine Learning Engineer to help design and implement our next generation of machine learning solutions powering search and retrieval, recommendation, and personalization systems. You will collaborate with an accomplished and motivated team of individuals to deliver high-impact solutions for our users and our business.

Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week.

The Job

• Lead the design, development, and maintenance of cutting-edge machine learning solutions that power search and retrieval, recommendation, and personalization experiences across our products.
• Partner with product and platform stakeholders to define and evolve catalogs, taxonomies, and entity understanding that improve discovery, relevance, and user experiences.
• Design and apply graph-based techniques—such as graph databases, knowledge graphs, and graph algorithms/models—to enhance retrieval, recommendations, personalization, and content understanding.
• Develop and deploy robust, fault tolerant, high-throughput services, emphasizing reliability, scalability, observability, and low-latency performance.
• Lead initiatives to optimize the performance and quality of ML systems using new or established offline and online metrics (e.g., relevance, ranking quality, coverage/diversity, engagement, and long-term user value).
• Support operational excellence by participating in initiatives to streamline ML workflows and establish standardized procedures to ensure consistent and high-quality outcomes across our projects and systems.
• Collaborate closely with AI/ML engineers and cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to foster a culture of collaboration, scientific inquiry, and continuous learning.
• Employ a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems.

You…

• 4+ years of hands-on experience in machine learning, applied ML engineering, data science, or related fields, with a strong emphasis on practical engineering applications and deploying robust solutions into production environments.
• Extensive experience with one or more of the following: search and retrieval systems (including ranking and relevance), recommendation systems, and personalization systems; experience combining these capabilities into end-to-end discovery experiences is a plus.
• Experience designing, developing, and deploying end-to-end ML systems, including data pipelines, feature engineering, model training and serving, and monitoring solutions.
• Experience with catalogs, taxonomies, entity resolution, embeddings, and/or semantic representations used to improve retrieval and recommendation quality.
• Familiarity with graph databases and knowledge graphs (e.g., modeling entities/relationships, building graph-powered features, applying graph algorithms, and/or graph ML) to support retrieval, recommendation, and personalization use cases.
• Demonstrated ability to guide projects and foster a collaborative and high-performing work environment that values continuous improvement and knowledge sharing.
• Ability to break down complex projects, effectively scope and sequence work, and manage timelines to ensure the timely and successful delivery of machine learning initiatives.
• Excellent verbal and written communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Advanced degree (Master’s or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.
• A sense of humor is optional but appreciated.

Why you’ll love it here...

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, and commuting, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The annual U.S. salary range for this full-time position is $181,000 - $271,000. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview