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ReadMe

<div>
 
 📍 Locations: San Francisco (Hybrid), New York (Hybrid), Columbus (Hybrid), or Remote (US)
 
 
 
 We&rsquo;re hiring an AI Engineer to shape how AI shows up across ReadMe&rsquo;s product: from how developers explore and understand APIs to how companies author and maintain their documentation.
 
 
 We&rsquo;re at the forefront of a major shift in developer experience:
 
 
 <ul>
 <li>
 AI agents need APIs to talk to each other, and those APIs need to be understandable, structured, and explorable
 </li>
 <li>
 At the same time, writers and developers are looking for better ways to generate and maintain documentation with AI
 
 
 </li>
 </ul>
 We're a small team of humans (and one owl) working together to do big things &mdash; and that&rsquo;s where you come in. In this role you&rsquo;ll have a transformational impact on ReadMe across both the trajectory of the business and our thriving culture.
 
 
 🦉 What we do
 
 
 ReadMe helps more than 5,000 leading startups and tech companies build beautiful, personalized, and interactive developer hubs. If you&rsquo;ve ever visited the developer docs for PagerDuty, Samsara, or Nvidia, you&rsquo;ve used ReadMe!
 
 
 We love what we do because it&rsquo;s so much more than just documentation. We&rsquo;re providing tools for teams to build a better developer experience and make their products and APIs easier to use. We&rsquo;ve got great support from our investors at Accel who led our Series A, and our interview process reflects the open, caring, and whimsical culture we want to maintain as we scale.
 
 
 ✅ What you&rsquo;ll do here
 
 
 This isn&rsquo;t a feature team where a PM hands you tickets. You&rsquo;ll help decide what gets built, why it matters, and how it works end-to-end. You&rsquo;ll work on systems that are already live across thousands of developer hubs and define what they become next.
 
 
 ReadMe's AI surface spans three bets we're doubling down on:
 
 
 <ul>
 <li>
 Documentation that writes itself. AI that watches code change and keeps docs current &mdash; from PR-level suggestions to org-wide audits that surface and fix quality issues at scale.
 </li>
 <li>
 Answers, not search results. A conversational layer embedded directly in developer hubs, grounded in real docs, that gives developers the right answer instead of a list of links to dig through.
 </li>
 <li>
 APIs that are agent-ready. As AI agents increasingly talk to APIs, the structure and clarity of those specs matters more than ever. We're building the systems that make APIs understandable by both humans and machines.
 
 
 </li>
 </ul>
 Day to day, you&rsquo;ll:
 
 
 <ul>
 <li>
 Design end-to-end AI systems: combining LLMs, embeddings, retrieval pipelines, and structured outputs into reliable product features.
 </li>
 <li>
 Build grounding and retrieval layers: indexing docs, OpenAPI specs, and customer data to support accurate, context-aware generation.
 </li>
 <li>
 Define evaluation systems: measuring accuracy, latency, cost, and user impact; building feedback loops to continuously improve quality.
 </li>
 <li>
 Handle real-world complexity: malformed specs, inconsistent docs, edge-case APIs, and ambiguous user queries.
 </li>
 <li>
 Make architectural tradeoffs: latency vs. quality, cost vs. coverage, deterministic vs. generative approaches.
 </li>
 <li>
 Own production reliability: observability, fallbacks, rate limiting, and safe degradation when systems fail.
 </li>
 <li>
 Work across the stack: from model orchestration and backend systems to the UI surfaces that expose them.
 
 
 </li>
 </ul>
 💙 You'll love this job if you...
 
 
 <ul>
 <li>
 Want to own meaningful systems end-to-end, not just features.
 </li>
 <li>
 Care deeply about developer experience and documentation quality.
 </li>
 <li>
 Enjoy working on problems where AI, APIs, and product design intersect.
 </li>
 <li>
 Have strong instincts about what makes AI actually useful and where the industry is headed.
 
 
 </li>
 </ul>
 ️ ⭐️ This role is a great fit if you have...
 
 
 <ul>
 <li>
 Experience building with LLMs in production, not just prototypes.
 </li>
 <li>
 Strong JavaScript/TypeScript or Python experience.
 </li>
 <li>
 Experience working with:
 </li>
 <ul>
 <li>
 Embeddings and retrieval systems (RAG).
 </li>
 <li>
 Prompting and structured outputs.
 </li>
 <li>
 Evaluation and iteration of AI systems (quality, latency, cost).
 </li>
 </ul>
 <li>
 Comfort working with APIs and structured data (JSON, OpenAPI, schemas).
 </li>
 <li>
 Experience designing and shipping end-to-end systems, from backend pipelines to user-facing product surfaces.
 </li>
 <li>
 Strong instincts around when to use AI vs. deterministic approaches.
 </li>
 <li>
 Experience improving AI reliability, observability, and production readiness.
 </li>
 <li>
 Familiarity with real-world edge cases (messy data, inconsistent inputs, ambiguous queries) and how to handle them.
 
 
 </li>
 </ul>
 🌱 How you'll grow within one month...
 
 
 <ul>
 <li>
 Build a deep understanding of ReadMe&rsquo;s AI systems and product surfaces.
 </li>
 <li>
 Ship meaningful improvements to existing AI features.
 </li>
 <li>
 Get close to real customer workflows and pain points.
 
 
 </li>
 </ul>
 🪴 Within a few months, you'll...
 
 
 <ul>
 <li>
 Own a core part of one of our AI systems.
 </li>
 <li>
 Drive improvements in quality, reliability, and user experience.
 </li>
 <li>
 Contribute to product and technical direction.
 
 
 </li>
 </ul>
 🌳 Within your first year, you'll...
 
 
 <ul>
 <li>
 Be a key driver of AI across the product.
 </li>
 <li>
 Ship systems used daily by thousands of developers and teams.
 </li>
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 Help define how AI reshapes developer hubs and API workflows.
 
 
 </li>
 </ul>
 🛣️ What's the hiring process like?
 
 
 <ul>
 <li>
 We can&rsquo;t wait to read your resume and (hopefully personality-filled) cover letter! Let us know what excites you about full stack engineering, and help us get to know you better!
 </li>
 <li>
 If we think we might be a good fit for you, we&rsquo;ll set up a 30 minute phone chat with our VP Engineering Moses! He&rsquo;ll tell you more about the role, and get a chance to hear about your experiences.
 </li>
 <li>
 Next will be a second 30 minute phone interview with Davin, one of our Engineering Managers, where we&rsquo;ll dive a bit more into your background.
 </li>
 <li>
 We&rsquo;ll then do a technical assessment with a couple of ReadMe engineers.
 </li>
 <li>
 Finally we&rsquo;ll invite you to an "onsite" interview conducted over Zoom! These usually take 3.5 to 5 hours including an hour break in between. We are able to be flexible with the schedule and split it up over two days if that works best for you! We start with a 15-minute get-to-know-you with the people you&rsquo;ll be interviewing with, and then have you talk with people one-on-one later on.
 </li>
 <li>
 We&rsquo;ll let you know how things went within a week! If it still seems like a good fit all around, we&rsquo;ll extend you an offer! If not, we will update you to let you know so you aren&rsquo;t left hanging.
 
 
 </li>
 </ul>
 
 ✨ Our Benefits Include&hellip;
 
 
 
 <ul>
 <li>
 Unlimited PTO with a three-week minimum. 🏝️
 </li>
 <li>
 Fully covered medical, dental, and vision insurance for you, and 100% for your dependents.
 </li>
 <li>
 A One Medical membership. 👨&zwj;⚕️
 </li>
 <li>
 A gym or fitness stipend of up to $150 per month. 🏋️&zwj;&female;️
 </li>
 <li>
 One-to-one donation matching of up to $1,000 per year. 💸
 </li>
 <li>
 Twelve weeks of paid parental leave after the birth or adoption of a child. 🐣
 </li>
 <li>
 Work from home. 🏠
 </li>
 <li>
 Three offsite retreats per year to get together with coworkers and plan for the quarter ahead. ✈️
 </li>
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 Take a look at our handbook for more information on our benefits! 📘
 
 
 </li>
 </ul>
 Not sure if you&rsquo;d be the right fit? Apply anyway! We&rsquo;d love to see your application.
 
 
 
 At ReadMe, we&rsquo;re committed to cultivating a diverse and inclusive workplace. We welcome people of all different backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. We'd love to have you come join us here! ReadMe is open to hiring folks fully remote in the US, hybrid, or in-person at our New York or San Francisco HQ.
 
 
 
</div>

AI Engineer

DataAnnotation

<div>
 Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
 
 
 We are looking for proficient programmers to help advance AI development. As a member of DataAnnotation&rsquo;s coding team, you&rsquo;ll be part of a growing community of over 100,000 professionals &mdash; including front-end, back-end, full-stack, machine learning, and other engineers &mdash; who are driving real-world impact in AI development.
 
 
 Our platform offers an engaging blend of flexibility and challenge: you&rsquo;ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
 
 
 To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you&rsquo;ll receive an email confirmation, and paid work will become available to you through our platform.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
 </li>
 <li>
 Flexible schedule: choose which projects you take on and when you work.
 </li>
 <li>
 Competitive pay: projects are paid hourly, starting at $50-$100+/hr. Opportunities for higher-paying projects are available with strong performance.
 </li>
 <li>
 Impact: help shape the future of AI technologies.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and solve diverse coding problems used to train AI systems with an emphasis on Android development.
 </li>
 <li>
 Write clear, high-quality code snippets and detailed explanations.
 </li>
 <li>
 Evaluate AI-generated code for accuracy, performance, and clarity.
 </li>
 <li>
 Provide feedback that directly shapes the next generation of AI models.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level).
 </li>
 <li>
 Preferred experience in Kotlin. Proficiency in at least one of other the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
 </li>
 <li>
 Excellent writing and grammar skills.
 </li>
 <li>
 A bachelor&rsquo;s degree (completed or in progress).
 </li>
 <li>
 Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
 
 
 </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
 
 
 #SWE
</div>

AI Training Engineer - AI Trainer

Cooley LLP

<div>Cooley is seeking an Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer to join the Practice Engineering team within the Innovation department.
Position summary: As the leading technology law firm, Cooley is determined to become a leader in the digital practice of law. Cooley Innovation embraces a culture of customer service excellence, and all members of the department are expected to move this agenda forward. To that end, under the direction of the Manager of Product Engineering, and collaborating directly with practitioners, technical teams, and innovation stakeholders, the Artificial Intelligence (&ldquo;AI&rdquo;) Solutions Engineer leads process automation initiatives by driving prototype-based discovery and building functional workflow demonstrations that validate repeatable, end-to-end processes&mdash;from defined inputs through tool orchestration to outputs that meet specified acceptance criteria. This includes developing multi-step automations that combine deterministic scripting with AI workflows, including advanced prompting, retrieval-augmented generation (RAG), and agentic techniques. This role partners across multiple domains including Practice Innovation, Knowledge Management, Software Engineering, as well as resource attorneys and other practitioners across a range of offices and practice areas. Specific duties and responsibilities include, but are not limited to, the following:
Position responsibilities:<ul><li>
Responsible for the management, design and development and testing of legal workflow automations, form-building solutions and expert knowledge systems</li><li>
Elicit attorney/practitioner requirements, map end-to-end process steps, define decision points and failure modes, and produce clear acceptance criteria and test cases that make the workflow measurable and reviewable</li><li>
Rapidly build and iterate working proofs-of-concept that validate feasibility of repeatable processes, combining deterministic logic (rules/scripting) with AI steps (prompting, retrieval, tool-use/agents) to produce usable outputs aligned to acceptance criteria</li><li>
Working with Knowledge Management and practitioners, create/maintain the workflow&rsquo;s &ldquo;source of truth&rdquo; (playbooks, templates, matter-type guidance, clause libraries, FAQs), implement retrieval strategies and citation/traceability expectations, and partner with attorneys to ensure substantive content accuracy and ongoing governance of knowledge updates</li><li>
Evaluate AI and technology components; design measurable validation workflows (including Python-based integrations) to test use cases, assess feasibility, and generate stakeholder-ready findings</li><li>
Build RPA workflows and API integrations to measure and report adoption and performance; deliver executive-facing analytics that enable leadership advocacy and decision-making</li><li>
Design and maintain knowledge applications, including working with Knowledge Management and attorneys to ensure substantive legal content is accurate</li><li>
Coordinate training, support, documentation and resource material in support of processes and systems</li><li>
Engage with end-users to gather feedback, observe and map routines and processes</li><li>
Create and maintain project planning documentation, including business end-user requirements, user and administrative workflows and quality assurance procedures</li><li>
All other duties as assigned or required</li></ul>
Skills and experience:
Required:<ul><li>
After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications</li><li>
Ability to work extended and/or weekend hours, as required</li><li>
Ability to travel, as required</li><li>
3+ years direct applicable experience (e.g., delivery of GenAI-powered workflows and solutions)</li><li>
Experience with API-driven integrations, workflow automations, document automation (e.g. excel and docx), and generative AI</li><li>
Experience working with MCP servers and building agentic workflows using MCP and non-MCP tools</li><li>
Experience designing and implementing retrieval-grounded generation in permissioned environments</li><li>
Proficiency extracting from and creating common enterprise file formats like docx, pptx, xlsx, pdf, etc.</li></ul>
Preferred:<ul><li>
Bachelor&rsquo;s degree</li><li>
Working knowledge of business analysis, knowledge management, information systems or other-related field</li><li>
Experience working in professional services, or a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys</li><li>
Knowledge of legal concepts related to the business of the firm and the legal industry</li><li>
Familiarity with agile development methodologies</li><li>
Experience engaging with end-users to gather feedback, observe and map routines and processes</li><li>
Ability to deliver AI-enabled workflows within confidentiality/approved-AI policy constraints and governance expectations</li><li>
Excellent attention to detail</li><li>
Excellent analytical skills</li><li>
Excellent time management and project management skills, with ability to work independently to meet objectives and deadlines</li><li>
Ability to work as a member of a client-service oriented team in a professional, approachable manner</li><li>
Strong customer focus, with an emphasis on efficient and effective communications</li><li>
Solid relationship management, presentation and collaboration skills</li><li>
Unwavering ability to handle and maintain confidentiality regarding firm information, projects, client data</li><li>
Ability to work independently and take initiative while ensuring compliance with team standards in development, delivery and support of business systems</li><li>
Entrepreneurial by nature</li><li>
Ability to organize, prioritize and coordinate multiple activities often under tight timelines</li><li>
Ability to drive projects to completion and achieve goals</li><li>
Team-player with collaborative spirit</li></ul>
Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices.
EOE.
The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate.
We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&amp;D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&amp;D, LTD, short term medical benefits as well as 21 days of Paid Time Off (&ldquo;PTO&rdquo;) and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.</div>

Artificial Intelligence (“AI”) Solutions Engineer

C2R Ventures

<div>
 
 Elite multi-strategy hedge fund manager that invests globally in a wide array of assets and strategies, is seeking an elite Agentic AI Research Engineer to play a key role in the ongoing development and enhancement of their investment process.
 
 
 
 
 
 Do not need financial experience to apply, but of course it is welcome. Candidates from AI research arms/divisions of notable bigtech companies and/or AI start-ups with elite VC backing are very welcome to apply.
 
 
 
 
 
 This Engineer will be embedded in investment teams to augment their investment process through designing and building multi-agent frameworks by developing deep understanding of each business and leveraging cutting-edge methods.
 
 
 
 
 
 This is a Full Stack role that will encompass the building of foundational infrastructure and developing robust data pipelines through agentic design.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Work with investment teams to find solutions to their most vexing challenges, applying agents to assist in solving problems
 </li>
 <li>
 Design, build, and integrate a multi-agent AI framework that can orchestrate deep research in and across vastly different subject matter and domain expertise
 </li>
 <li>
 Implement rigorous quantitative benchmarks for large scale agentic tasks
 </li>
 <li>
 Assist with automated evaluation of AI models and prompts across a wide variety of project and investment teams
 </li>
 <li>
 Help create and optimize data mixes for model training that maximize agent performance or ease of use on agentic tasks
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 0&gt;1 builder who is comfortable with uncertainty, operates with high agency, and excels at rapid iteration and shipping
 </li>
 <li>
 Experience developing complex agentic systems using LLMs with an emphasis on agentic harness design (e.g., communication architectures for agents)
 </li>
 <li>
 Successfully demonstrated the ability of taking a product from conception to completion
 </li>
 <li>
 Understanding of LLM-as-judge, reward hacking, specification gaming robustness problems
 </li>
 <li>
 Have strong Python skills and can build robust infrastructure across the stack
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

Abridge

<div>
 
 About Abridge
 
 
 
 Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most&mdash;their patients.
 
 
 Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.
 
 
 We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh.
 
 
 
 The Role
 
 
 
 We are looking for passionate
 
 GenAI Engineers
 
 of all levels who are passionate about making a positive impact. You&rsquo;ll collaborate closely with a cross-functional team of researchers, clinicians, and engineers to translate cutting-edge language model capabilities into dependable, real-world clinical systems. Your focus will be on designing advanced LLM-driven workflows that can reason through complex clinical contexts, leverage agentic capabilities and structured tool use, navigate branching chains of LLM calls, integrate seamlessly with retrieval systems, and consistently generate outputs that meet the highest standards of clinical reliability and trust.
 
 
 A major part of this role will involve developing and applying rigorous evaluation frameworks (both automated and human-in-the-loop) to continuously assess accuracy, robustness, multilingual capabilities, and more. This is an opportunity to design experiments to probe failure modes, simulate edge cases, and stress-test LLM workflows under realistic load and challenging real-world conditions. You&rsquo;ll apply a disciplined, data-driven approach to understanding model behavior&mdash;developing tools to measure system performance, conduct A/B tests against established baselines, and generate clear, actionable insights that inform deployment decisions. This high impact role will own the end-to-end productionization of LLM workflows: deploying models into low-latency, high-uptime environments, building monitoring and observability systems, implementing post-processing guardrails, and managing workflow versioning.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design and build GenAI systems that turn LLMs into composable, dependable tools&mdash;leveraging retrieval, tool use, agentic reasoning, and structured outputs.
 </li>
 <li>
 Collaborate with ML and infra engineers to scale and optimize GenAI workflows, managing latency, context windows, and model choice.
 </li>
 <li>
 Write high-quality, modular code that&rsquo;s graceful under failure, flexible to change, and easy to iterate on.
 </li>
 <li>
 Own major architectural decisions&mdash;how we architect workflows,define data flow, cache intermediate state, and structure generative outputs.
 </li>
 <li>
 Drive rigorous evaluation: build benchmark datasets, develop automated and human-in-the-loop frameworks, design experiments to surface failure modes and edge cases, run A/B tests to inform deployment, and distill insights from clinician feedback to evaluate and guide model improvement.
 </li>
 <li>
 Leverage frontier capabilities: rapidly prototype with new models and model capabilities, open-source tools, and novel prompting techniques.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 3+ years of experience building production-grade systems, with 1&ndash;2+ years focused on GenAI or LLM-powered products.
 </li>
 <li>
 Deep fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, custom pipelines).
 </li>
 <li>
 Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool-use, or agentic workflows.
 </li>
 <li>
 Working knowledge of model evaluation, experience building diverse datasets, conducting both automated and human-in-the-loop evaluations, running A/B tests, and working with subject matter experts to guide model improvement.
 </li>
 <li>
 Strong Python fundamentals&mdash;including ability to write clean code, design comprehensive test-cases, and familiarity with core language features and standard libraries; experience with async programming, performance profiling, packaging, and deployment tooling is strongly preferred.
 </li>
 <li>
 Good taste and intuition: You know when to move fast, ship, and iterate and also when to take a beat to tackle tech debt.
 
 
 </li>
 </ul>
 We value people who are eager to learn new things and recognize that great team members might not perfectly match a job description. If you&rsquo;re interested in the role but aren&rsquo;t sure whether or not you&rsquo;re a good fit, we&rsquo;d still like to hear from you.
 
 
 
 Must be willing to work from our SF office at least 3x per week
 
 
 
 This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.
 
 
 
 Why Work at Abridge?
 
 
 
 At Abridge, we&rsquo;re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We&rsquo;re driving real, lasting change, with millions of medical conversations processed each month.
 
 
 Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership&mdash;every employee has the ability to (and is expected to) make an impact on our customers and our business.
 
 
 Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it&rsquo;s not just what we do&mdash;it&rsquo;s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.
 
 
 We&rsquo;re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.
 
 
 If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.
 
 
 
 How we take care of Abridgers:
 
 
 
 <ul>
 <li>
 Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
 </li>
 <li>
 Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
 </li>
 <li>
 Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
 </li>
 <li>
 Paid Parental Leave: Generous paid parental leave for all full-time employees.
 </li>
 <li>
 Family Forming Benefits: Resources and financial support to help you build your family.
 </li>
 <li>
 401(k) Matching: Contribution matching to help invest in your future.
 </li>
 <li>
 Personal Device Allowance: Tax free funds for personal device usage.
 </li>
 <li>
 Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
 </li>
 <li>
 Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
 </li>
 <li>
 Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
 </li>
 <li>
 Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
 </li>
 <li>
 Compensation and Equity: Competitive compensation and equity grants for full time employees.
 </li>
 <li>
 ... and much more!
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
 
 
 
 Staying safe - Protect yourself from recruitment fraud
 
 
 
 We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
 
 
 Compensation Range: $255K - $300K
 
 
</div>

Software Engineer, GenAI

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure&mdash;leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced&mdash;elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. 
 
Key job responsibilities 
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.</li><li>Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.</li><li>Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.</li><li>Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.</li><li>Write high-quality, maintainable code and participate in design and code reviews.</li><li>Drive operational excellence through monitoring, automation, and continuous improvement.</li></ul> 
About the team 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
 
 
About our team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SP across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)</li><li>Experience designing, building, operating, and managing large-scale distributed systems or web services</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Hands-on experience applying Generative AI (GenAI) or Large Language Model (LLM) to real-world problems at scale.</li><li>Familiarity with NLP/ML frameworks (e.g., PyTorch, Hugging Face).</li><li>Experience in building machine learning systems, recommendation engines, or large-scale data pipelines.</li><li>Experience with AWS services or other cloud platforms.</li><li>Strong track record of delivering complex projects end-to-end.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Sponsored Products and Brands Off-Search

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SPB across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.</li><li>Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.</li><li>Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.</li><li>Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.</li><li>Write high-quality, maintainable code and participate in design and code reviews.</li><li>Drive operational excellence through monitoring, automation, and continuous improvement.</li></ul> 
A day in the life 
As a Software Development Engineer, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure&mdash;leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced&mdash;elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. 
 
About the team 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Knowledge of Python and/or C++ programming</li><li>Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems</li><li>Bachelor's degree in computer science or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Master's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Sponsored Products and Brands

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