Experience Requirements:

• 3+ years

Education Requirements:

• BS in computer or data science, or equivalent experience

Experience Requirements:

• At least 7 years professional work experience building performant, user-friendly, reliable software systems

• Significant experience working with machine learning and generative AI models, frameworks, and pipelines

• Experience deploying and evaluating ML systems in production

• Ability to write high-quality, well-tested code in Python

• Experience working on backend system services, such as databases, distributed systems, real time applications, etc

Other Requirements:

• A great attitude, effective communication skills, and a strong sense of ownership

Responsibilities:

• Prototype and evaluate generative AI solutions tailored to specific customer problems and use cases

• Design, develop, test, deploy, maintain, and improve AI-focussed software features

• Manage individual project priorities, deadlines, and deliverables

• Clarify and ensure the technical feasibility of product requirements

• Optimize application for maximum speed and scalability

Education Requirements:

• BS in computer science or equivalent experience

Experience Requirements:

• At least 10 years professional work experience building performant, user-friendly, reliable, distributed software systems

• Experience working on backend system services, such as databases, distributed systems, real time applications, etc.

• Ability to write high-quality, well-tested code in Python

• Some experience working with machine learning and/or generative AI (LLM) models

• Experience developing both onsite enterprise software and cloud-based SaaS applications

Other Requirements:

• A great attitude, effective communication skills, and a strong sense of ownership

Responsibilities:

• Design, develop, test, deploy, maintain, and improve software features

• Manage individual project priorities, deadlines, and deliverables

• Clarify and ensure the technical feasibility of product requirements

• Optimize application for maximum speed and scalability

• Collaborate with other team members and stakeholders

Education Requirements:

• A degree in a technical or scientific field; or equivalent experience, education or training

Experience Requirements:

• 7+ years of experience writing client-side JavaScript

• Expertise with modern web development frameworks and tools (TypeScript, React, Next.js)

• Experience with testing technologies (Jest, Testing Library, and Cypress or Playwright)

• Expertise in building complex layouts with HTML and CSS

• Experience working with design software, such as Figma

Other Requirements:

• A great attitude, effective communication skills, and a strong sense of ownership

• Ability to work in an entrepreneurial, fast paced, and collaborative environment

• Familiarity with continuous integration and deployment lifecycles

• Knowledge of software engineering best practices using GitHub

• Ability to effectively analyze and triage production software problems

Responsibilities:

• Collaborate with Product and UX design team on user interface specifications

• Collaborate with software engineers on design and development of user interface APIs

• Implement functional, elegant, efficient, and delightful web-based user interfaces

• Conduct thorough testing and integration of your work

• Conduct thoughtful reviews of teammates' work

Responsibilities:

• build out the backbone of our product

• work directly with customers to build out workflows deeply integrated into their day to day operations

• includes ai fine-tuning and data engineering responsibilities

Responsibilities:

• work directly with customers to build out workflows deeply integrated into their day to day operations

• includes ai fine-tuning and data engineering responsibilities

Experience Requirements:

• ex-founder

• venture backed founder or a founder who has grown their own business to $10,000+ in revenue

Experience Requirements:

• scrappy

Education Requirements:

• Associate's degree or higher from an accredited US university

Experience Requirements:

• 5+ years of experience in a direct consumer client support role

• Experience and knowledge working with smartphones

Other Requirements:

• Fluency in both Spanish and English

• Ability to quickly identify problems and resolve issues

• Ability to work in a fast-paced environment

• Experience in a healthcare setting is preferred

• Must be a US Citizen or Permanent Resident

Responsibilities:

• Communicate with patients via phone and text

• Help patients download the app

• Help patients connect medical devices

• Troubleshoot technical issues

• Collaborate with technical teams to troubleshoot issues patients may be experiencing with the MB app or devices

Education Requirements:

• Any (new grads ok)

Responsibilities:

• Working with AI/LLMs

• Working on our data platform

Education Requirements:

• Any (new grads ok)

Experience Requirements:

• Experience ideally in a start-up like environment where you have taken full ownership of projects from start to finish

Responsibilities:

• Working with AI/LLMs

• Enhancing our developer-focused APIs

• Making improvements to our frontend

• Working on our data platform

Education Requirements:

• 3+ years

Experience Requirements:

• EITHER experience in a startup or high-growth environment, ideally with a background in AI, technology, or relevant sectors, OR experience in tier 1 strategy consulting / banking

Responsibilities:

• Investor Relations & Fundraising

• Company Building & Culture

• "Pinch Hitting"

• Operations Management

Education Requirements:

• 1+ years

Experience Requirements:

• Early Stage Startups, especially in a growth role

• Strategy Consulting / Banking (ideally around 2 years; we are looking for people fleeing these industries in search of bigger and better impact!)

• Writing content online

• Highly numerate and comfortable in a data driven environment

Responsibilities:

• Experimenting in a particular channel

• Creating metrics and KPIs to measure channel performance

• Recruiting and Managing Contractors

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 7+ years as a platform/Devops/infrastructure engineer in a cloud native environment and 3+ years managing software engineering teams

• Knowledgeable about the software development lifecycle

• Great at hiring and mentorship

• Up-to-date on industry best-practices and tools, and enjoy learning new things

• Excited about being hands-on in a fast-moving, productive, and supportive environment

Other Requirements:

• Must be willing to work from our NY office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• People Management: Recruit, retain, and mentor platform engineers

• Project Management: Work closely with stakeholders such as product managers and customers to plan, execute, and support multiple projects simultaneously

• Technical Leadership: Help set business context for the team and apply your knowledge of business and software engineering to guide architectural discussions

• Drive Initiatives: During your tenure at Abridge you’ll have the opportunity to lead efforts that span multiple teams

• Champion Quality: Set a high standard for your team including software quality; communication; collaboration; and compliance with industry and regulatory standards

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of experience building, shipping, and operating cloud-based distributed systems at scale

• Experience as a lead engineer on a number of major components or subsystems of a software platform, or have been the lead for the platform itself

• Confidence knowing your way around event pipelines and experience with tools such as Kinesis or Kafka

• Several years of experience building software for a regulated environment, and understand the tradeoffs that can be required to ensure compliance with regulations and frameworks such as HIPAA, SOC 2, and HITRUST

• Willingness to pitch in wherever needed

Other Requirements:

• Must be willing to work from our SF or NY office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Design, build, and support the robust cloud-based services we need for our rapidly-growing business

• Make and implement technology decisions that support business needs without compromising security, privacy, or quality

• Research commercial and open-source solutions, and make build vs buy recommendations to bring new capabilities into the technology organization

• Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security

• Advocate for high standards; make quality-of-life improvements to the codebase; and help limit the growth of technical debt

Benefits:

• Flexible/Unlimited PTO

• Equity

• Medical insurance

• Dental & Vision insurance

• Flexible Spending (FSA) & Health Savings (HSA) Accounts

Experience Requirements:

• 5+ years of platform/devops experience in a cloud-native software company

• Familiar with the care+feeding of Kubernetes clusters, including creating and maintaining helm charts for application deployments

• Experienced in creating and maintaining CI/CD pipelines for both Infrastructure as code deployments as well as application code deployments

• Comfortable implementing and securing services in Google Cloud Platform as Infrastructure as code

• Experienced with backend scripting languages (e.g. Python, GoLang, Javascript, Rust, Bash.)

Other Requirements:

• Must be willing to work from our SF or NY office at least 3x per week

• Must be willing to travel up to 10%

Responsibilities:

• Partner with application engineers to build and deploy reliable, performant, and secure infrastructure for our mobile + web-based applications

• Collaborate with engineers + customers to create secure integrations between Abridge and healthcare systems

• Enable application teams to practice “you build it, you run it” by providing tools + process for monitoring performance, availability, and reliability

• Identify opportunities to improve engineering velocity, and lead efforts to make those improvements through tooling and process

• Manage CI/CD pipelines and the other major parts of our cloud-based development infrastructure

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production system code

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track record of exceptional research or creative ML systems projects

• Comfortable writing model development code (PyTorch) for either training or inference

Responsibilities:

• Work on cutting-edge ML training and inference systems

• Optimize the performance and efficiency of our GPU clusters

• Develop new technologies that fine-tune leading consumer AI models

• Serve 20K+ QPS in production with LLMs

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• preferably 2+ years of industry experience

Other Requirements:

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models

• Have a track record of successfully owning projects from start to finish

• Have experience with generative models for various modalities

• Experience working with proven tools

• Experience working with diffusion models

Responsibilities:

• Determining the type of training data we need

• Developing new model architectures

• Creating new evaluations

• Writing fast inference algorithms

• Working with product teams to integrate feedback mechanisms into the product

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production-facing and training code

• Experience working with GPUs (training, serving, debugging)

• Experience with data pipelines and data infrastructure

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track-record of exceptional research or creative applied ML projects

Responsibilities:

• Develop alignment algorithms and loss functions

• Write data pipelines to process diverse web data

• Identify quality signals to understand our model’s performance

• Design sampling algorithms to improve serving efficiency

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 4+ years of experience supporting the infrastructure within an ML environment

Other Requirements:

• Experience in developing tools used to diagnose ML infrastructure problems and failures

• Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

• Experience working with GPUs

Responsibilities:

• Provide infrastructure support to our ML research and product

• Build tooling to diagnose cluster issues and hardware failures

• Monitor deployments, manage experiments, and generally support our research

• Maximize GPU allocation and utilization for both serving and training