software engineer   ai/ml

Tabs

<div>
 <strong>
  Tabs
 </strong>
 is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow.
 <br/>
 <br/>
 High-growth companies like
 <strong>
  Cursor
 </strong>
 and
 <strong>
  Statsig
 </strong>
 rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance.
 <br/>
 <br/>
 Founded in 2023, Tabs has raised over $91 million from
 <strong>
  Lightspeed Venture Partners
 </strong>
 ,
 <strong>
  General Catalyst
 </strong>
 , and
 <strong>
  Primary
 </strong>
 . The team is headquartered in New York and brings deep expertise in finance and AI.
 <br/>
 <br/>
 <strong>
  What We Do
  <br/>
  <br/>
 </strong>
 We are enabling the one person finance team&hellip;
 <br/>
 <br/>
 Artificial intelligence products that automate operational management of accounting, communications, and reporting. Finance leaders shouldn&rsquo;t worry about updating new points of contacts for an invoice; our systems enable them to deliver strategy and vision to their business.
 <br/>
 <br/>
 <strong>
  The Job
  <br/>
  <br/>
 </strong>
 We are putting together a tight team of innovative product engineers to join the AI team full stack. This is an in person role in New York City.
 <br/>
 <br/>
 <ul>
  <li>
   You will own building automation, AI, and ML features from concept, release, and integration into the product.
  </li>
  <li>
   We are looking beyond pattern matching, this isn&rsquo;t a solved problem and we are looking for engineers who will generate new insights and solutions.
  </li>
  <li>
   You will work closely with company leadership and the founding team to deliver high impact projects with direct impact on market positioning of the business.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proven ability to build green field products, get it 80% right, and learn from the missing 20%.
  </li>
  <li>
   Experience taking ownership of projects and driving them through to completion
  </li>
  <li>
   3-5 years of full stack experience in engineering that directly impacts the delivery of product and features to users
  </li>
  <li>
   1+ year of experience on products that deliver AI/ML inference to end users. Can be anywhere in that lifecycle, from training machine learning systems, to creating the interfaces users use to navigate inference results.
  </li>
  <li>
   An interest and passion for AI/ML systems, if you haven&rsquo;t had the opportunity at work to build AI/ML systems but have personal projects in the space we would love to hear about them.
  </li>
  <li>
   We don&rsquo;t care what stack you&rsquo;ve built in the past, but you will be building with Python, Typescript, and NextJs (bonus points if this is already your stack)
   <br/>
   <br/>
  </li>
 </ul>
 Exceptions to the above requirements are made for candidates with exceptional stories. If this is you, we will consider you regardless of the guidelines above.
 <br/>
 <br/>
 <strong>
  Our Phenotype
  <br/>
  <br/>
 </strong>
 We are not looking for people who like to coast or shop offers for value. We are looking for gunners who are attracted to non-traditional success. A specific type of person does well here:
 <br/>
 <br/>
 <ul>
  <li>
   You pride yourself on grit and creativity though you know you may not be the smartest in the room.
  </li>
  <li>
   You are obsessed with building and have a clear track record of ownership and shipping highly creative, innovative works.
  </li>
  <li>
   You are energized by working in-person with colleagues four or more days a week.
  </li>
  <li>
   You are opinionated on how product should be built and know when to fight for your ideas (and when to dissent and commit)
  </li>
  <li>
   When you see someone spilled coffee, you grab a mop.
   <br/>
   <br/>
  </li>
 </ul>
 We&rsquo;re a NYC-based team working together in our Manhattan office.
 <br/>
 <br/>
 Even if you don&rsquo;t meet 100% of the qualifications, we encourage you to apply. We care most about curiosity, craft, and drive.
 <br/>
 <br/>
 <strong>
  Perks And Benefits (Full-time Employees)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive compensation and equity
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
  </li>
  <li>
   Lunch provided via Sharebite, plus dinner for any later office days.
  </li>
  <li>
   Parental leave up to 12 weeks
  </li>
  <li>
   Tax free commuter and parking benefits
  </li>
  <li>
   Voluntary insurances (Life, Hospital, Critical Illness, Accident)
  </li>
  <li>
   Employee Assistance Program (Rightway)
  </li>
  <li>
   401k
   <br/>
   <br/>
  </li>
 </ul>
 Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We&rsquo;re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.
 <br/>
 <br/>
 Compensation Range: $165K - $225K
 <br/>
 <br/>
</div>


Software Engineer, AI/ML

Youtube

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>8 years of experience in software development.
</li><li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).<br>
</li>
<li>5 years of experience testing, and launching software products.</li>
<li>3 years of experience with software design and architecture.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>8 years of experience with data structures/algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.</p><p>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Design, develop, test, deploy, maintain, and enhance large scale software solutions.<br>
</li>
<li>Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.<br>
</li>
<li>Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers.<br>
</li>
<li>Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, AI/ML, YouTube

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>8 years of experience in software development.<br>
</li>
<li>8 year of experience with distributed systems and cloud technologies.</li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.</li>
<li>5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li>
<li>5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.<br>
</li>
<li>8 years of experience with data structures and algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.<br>
</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.<br>
<br>
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.</p>
<p>
In this role, you will be responsible for working with and evolving the team&rsquo;s core data processing libraries. You will be working with the team&rsquo;s top first-party (1P) customers in enabling their JAX-based trainers and modernizing their Artificial Intelligence/Machine Learning (AI/ML) data processing infrastructure. You will also be responsible for working with executive engineers in the team to lead the development of the next generation of online data processing infrastructure.</p>
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<br>
<br>
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Drive the development of high-performance data processing of features and Application Programming Interfaces (APIs) to enable new use cases.</li>
<li>Collaborate across Google's ML ecosystem on integrations with other components of ML infrastructure such as training, checkpointing, and inferencing.</li>
<li>Optimize performance and efficiency of the implementation.</li>
<li>Find creative ways to make online data processing effective and easy to use, enabling training jobs that use hundreds or thousands of accelerators.</li>
<li>Work directly with top first-party (1P) users (e.g., Gemini, YouTube, Search, Ads, and others) on redefining the data pipelines for the future in conjunction with JAX and ML Pathways.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, AI/ML Data Processing

Walmart

<div><h2 class="jobSectionHeader"><b>Position Summary...</b></h2><p></p><h2 class="jobSectionHeader"><b>
What you'll do...</b></h2>
As a <b>Distinguished AI/ML Engineer</b> within <b>Walmart Global Tech&rsquo;s Reliability Engineering Organization</b>, you will lead the technical development of next-generation agentic AI systems and intelligent automation solutions that ensure mission-critical reliability, scalability, and operational excellence across Walmart&rsquo;s entire technology ecosystem. You will architect and implement cutting-edge machine learning platforms and autonomous agents that transform how we manage change and performance, monitor, predict, and automatically resolve issues across all Walmart systems, supporting millions of associates and customers globally. Walmart Global Tech&rsquo;s <b>Reliability Engineering Organization</b> is built with hybrid systems and software engineers who take technical ownership for change engineering, change management, performance engineering, reliability, scalability, automation, and mission-critical issues related to uptime, availability, and rapid continuous improvement across Walmart&rsquo;s e-commerce, stores, and omni-channel platforms. As a technical expert in this domain, you will drive the evolution of practices into AI-powered, self-healing, and autonomous systems built on modern technology stacks with intelligent change management and predictive performance optimization. You will also define and implement unified, intelligent, and operationally robust technical solutions and tools for Walmart Technology organizations across all channels and geographies.
<div></div><b>About the Team</b> The <b>Reliability Engineering Organization</b> at Walmart Global Tech is responsible for ensuring the reliability, availability, and performance of all systems that power the world&rsquo;s largest retailer. As a Fortune #1 company, our work impacts hundreds of millions of customers and associates globally&mdash;across every transaction, search, and interaction spanning Walmart&rsquo;s digital and physical ecosystem. We are the guardians of system reliability for Walmart&rsquo;s e-commerce platform, supply chain systems, in-store technology, financial services, and all critical business operations. Our Reliability Engineering organization is at the forefront of applying advanced AI/ML technologies to reliability challenges, building autonomous systems that can predict, prevent, and resolve issues before they impact customers or business operations. Reliability Engineering is a core engineering discipline within Walmart Global Tech, working closely with all product and engineering teams across the enterprise to ensure every system meets the highest standards of reliability, scalability, and performance. We are deeply invested in building a robust, intelligent, and highly automated technology foundation that supports Walmart&rsquo;s mission to help people live better through innovation and operational excellence.
<div></div><b>What You&rsquo;ll Do</b> <b>AI/ML &amp; Agentic Systems Technical Leadership</b>
<ul><li>Architect and develop advanced <b>agentic AI systems</b> that autonomously manage complex reliability engineering workflows, predictive failure analysis, and self-optimization across Walmart&rsquo;s technology ecosystem.</li><li>
Design and implement <b>multi-agent orchestration platforms</b> that coordinate autonomous agents for change management, capacity planning, and performance optimization across e-commerce, supply chain, and in-store systems.</li><li>
Build intelligent observability and monitoring platforms using <b>ML-driven anomaly detection, predictive analytics, and autonomous resolution</b> across Walmart&rsquo;s entire technology landscape.</li><li>
Develop <b>self-healing infrastructure platforms</b> that leverage AI to predict, prevent, and automatically remediate system issues before they impact customers, associates, or business operations.</li></ul><div></div>
<b>Reliability Engineering Technical Excellence</b>
<ul><li>Design, write, and build advanced tools to improve latency, availability, scalability and change management across Walmart Technology systems, including: Engineering reliability using metrics and measurements across all domains Enabling system scaling through technical solutions, automation, and process optimization Building tools and automation to prevent recurrence of failures across mission-critical services Enhancing instrumentation to create a cohesive, end-to-end view of system health with particular focus on failure points
</li><li>Architect and implement fault-tolerant systems and services across Walmart&rsquo;s hybrid cloud infrastructure with emphasis on autonomous recovery and intelligent failure prediction.</li><li>
Collaborate with engineering teams and leadership to reduce <b>mean time to detect (MTTD)</b> and <b>mean time to restore (MTTR) </b>through intelligent automation and predictive capabilities.</li><li>
Partner with service owners across e-commerce, supply chain, stores, fintech, and other domains to define SLA breach detection and change related anomalies, ensuring systems meet SLAs while maintaining optimal performance and user experience.</li><li>
Perform complex troubleshooting and analysis of large-scale distributed systems using deep expertise in coding, algorithms, and distributed systems design.</li></ul><div></div>
<b>Strategic Technical Innovation</b>
<ul><li>Partner with engineering organizations across E-commerce, Supply Chain, Store Technology, Fintech, and Data Platforms to deliver <b>autonomous reliability solutions</b> using advanced machine learning, natural language processing, and computer vision.</li><li>
Drive development of <b>MLOps and AIOps platforms</b> that enable continuous learning, deployment, monitoring, and autonomous optimization of reliability systems.</li><li>
Innovate in <b>agentic AI technologies for Reliability Engineering</b>, including:<ul><li>
Large language models for automated incident response</li><li>
Reinforcement learning agents for capacity optimization</li><li>
Multi-modal AI for infrastructure monitoring</li><li>
Federated learning for cross-domain reliability insights</li></ul></li><li>
Implement advanced CI/CD pipelines for reliability platforms with automated validation, deployment, rollback, and built-in observability.</li><li>
Establish platform engineering excellence by building reusable reliability infrastructure, intelligent monitoring platforms, and developer productivity tools.</li><li>
Provide technical mentorship and thought leadership across Walmart Technology through code reviews, design discussions, and knowledge sharing.</li></ul><div></div>
<b>What You&rsquo;ll Bring</b> <b>Education &amp; Experience</b>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in engineering, Computer Science, or a related field with <b>12+ years of hands-on experience</b> in Reliability Engineering, AI/ML Engineering, or Platform Engineering.</li><li>
Proven record as a senior individual contributor influencing architecture and driving technical excellence across large organizations.</li><li>
Deep experience operating <b>mission-critical systems</b>, with expertise in MTTD, MTTR, availability, change management, model performance, and autonomous system reliability.</li></ul><div></div>
<b>Must-Have Technical Experience</b>
<ul><li>Expert-level <b>AI/ML engineering</b> experience, including deep learning frameworks such as TensorFlow and PyTorch and large-scale production ML deployments.</li><li>
Advanced experience with <b>agentic AI systems</b>, including multi-agent frameworks, autonomous decision-making systems, LLM-based agents, and agent orchestration platforms.</li><li>
Comprehensive <b>Reliability Engineering expertise</b>, including service management (Incident, Problem, and Change Management) and performance and capacity engineering for AI/ML systems.</li><li>
Expert-level <b>cloud engineering experience</b> (Azure, GCP, AWS) with containerization (Kubernetes, Docker), serverless architectures, and cloud-native AI services.</li><li>
Deep observability experience across distributed tracing, metrics, logs, APM, and AI-driven anomaly detection.</li><li>
Strong platform engineering background including infrastructure as code, service mesh architectures, API gateways, and self-service developer platforms.</li></ul><div></div>
<b>Preferred Technical Experience</b>
<ul><li>MLOps and model lifecycle management using platforms such as MLflow, Kubeflow, or Seldon.</li><li>
NLP and computer vision expertise for intelligent log analysis, automated incident response, and visual infrastructure monitoring.</li><li>
Edge computing and distributed systems experience for retail stores and distribution centers.</li><li>
Real-time streaming architectures (Kafka, Pulsar).</li><li>
Chaos engineering, fault injection, and performance optimization for large-scale distributed systems.</li><li>
Open-source contributions in reliability, observability, or infrastructure automation.</li></ul>
<br>
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
<br>
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
<br>
For information about benefits and eligibility, see One.Walmart.
<br>
The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
<br>
<ul><li>Stock</li></ul><p>
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ㅤ</p><p>
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&lrm;</p><h2 class="jobSectionHeader"><b>
Minimum Qualifications...</b></h2><p><i>
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
</i></p><p></p>Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years&rsquo; experience in software engineering or related area.<br>
Option 2: 8 years&rsquo; experience in software engineering or related area.<p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications...</b></h2><p><i>
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.</i></p><p></p>
Master&rsquo;s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart&rsquo;s accessibility standards and guidelines for supporting an inclusive culture.<p></p><h2 class="jobSectionHeader"><b>
Primary Location...</b></h2><p></p>
1345 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America<p></p>
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.</div>

Distinguished, Software Engineer -AI/ML Engineer – Agentic Systems

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>5 years of experience programming in Python or C++.</li>
<li>3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.<br>
</li>
<li>3 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.<br>
</li>
<li>3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical field.<br>
</li>
<li>5 years of experience with data structures/algorithms.</li>
<li>1 year of experience in a technical leadership role.<br>
</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
</p><p>We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.</p><p>
The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write and test product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Software Engineer, AI/ML, Google Cloud AI

<div><div>At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation.</div><div><br>
Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.</div><div></div><div>
Position Summary</div><div>
Are you a curious, motivated student in Computer Science ready to make an impact? Join F5&rsquo;s Summer Internship Program and dive into hands-on projects that power real-world solutions.</div><div></div><div>
As a Software Development Engineer (AI/ML) Intern, you will collaborate with talented engineers, design and build scalable systems, and explore technologies that keep the digital world safe. Whether your passion is backend development, DevOps, or learning new tools, you&rsquo;ll take on meaningful challenges, sharpen your skills, and make your mark at F5.</div><div></div><div>
Eligibility: This internship is open to students pursuing their bachelor&rsquo;s or master&rsquo;s degree at an accredited college or university in the US, planning to graduate between December 2026 and June 2027. Our interns (and their potential subsequent full-time role) are required to be based in one of our US hub locations where you can experience a hybrid working environment. Interns will be based in San Jose, CA based on team placement.</div><div></div><div>
This role will be San Jose, CA based and interns are expected to relocate if not currently in one of those areas.</div><div></div><div>
The ideal candidate will be able to:</div><ul><li>
Contribute to real-world projects and the development cycle of products that meet team goals.</li></ul><ul><li>
Work with peers to design, implement, and test code in a collaborative environment.</li></ul><ul><li>
Help analyze requirements, test features, and integrate components into applications.</li></ul><ul><li>
Assist with creating technical documentation for designs and new features.</li></ul><ul><li>
Participate in design and code reviews to learn best practices and ensure quality.</li></ul><ul><li>
Collaborate with your project team to explore and develop data-driven solutions.</li></ul><div>
Knowledge, Skills and Abilities:</div><ul><li>
Technical Curiosity: You&rsquo;re eager to apply your programming knowledge, learn new languages and tools, and grow your technical skill set.</li></ul><ul><li>
Problem-Solving Mindset: You can think critically, use data to make decisions, and aren&rsquo;t afraid to ask questions when faced with challenges.</li></ul><ul><li>
Adaptability &amp; Initiative: You&rsquo;re willing to take on new challenges, contribute ideas, and adapt as projects evolve.</li></ul><ul><li>
Team Player: You enjoy working with others, exchanging ideas, and supporting your peers to achieve common goals.</li></ul><ul><li>
Strong Communicator: You can share your thoughts clearly, listen actively, and value different perspectives on the team.</li></ul><div>
Qualifications:</div><ul><li>
In the process of completing a bachelor&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Information Technology, Computer Engineering, or related fields</li></ul><ul><li>
Must have at least one additional quarter/semester of school remaining following the completion of the internship</li></ul><ul><li>
Be enrolled in an accredited college or university in the United States</li></ul><ul><li>
Demonstrated experience programming in an object-oriented language (e.g. Python, Go, Java, C#, C)</li></ul><ul><li>
Foundational understanding of AI/ML concepts (e.g., supervised vs. unsupervised learning, train/test splits, overfitting, and common evaluation metrics).</li><li>
Demonstrated knowledge in computer science fundamentals (e.g. Data Structures and Algorithms)</li></ul><ul><li>
Must be willing to relocate to San Jose, CA for the internship and for a subsequent full-time role upon graduation, if offered.</li></ul><div>
Preferred Skills (Not Required but Valued)</div><ul><li>
Experience with Systems &amp; Scripting (e.g. Linux, Shell scripting)</li></ul><ul><li>
Experience with Infrastructure &amp; DevOps (e.g. CI/CD automation, Docker, Kubernetes)</li><li>
Experience building LLM-based applications (e.g., RAG, chatbots, or AI agents with tool/function calling) through projects or coursework. Experience with Research &amp; Applications (e.g., AI/ML), including exploring existing approaches (papers, blogs, or open-source), turning them into proof-of-concepts, and documenting results and recommendations; publications or open-source contributions are a plus.</li></ul><div>
Why You&rsquo;ll Love F5</div><ul><li>
Training &amp; Mentoring: Develop your skills with comprehensive training and support from experienced mentors.</li></ul><ul><li>
Wellness Weekends: Enjoy additional days off for rest and rejuvenation.</li></ul><ul><li>
Continuous Learning: Embrace daily learning opportunities with autonomy and responsibility.</li></ul><ul><li>
Intern Week: Gather with company leaders, fellow interns, and future colleagues for a fun and interactive week of events to celebrate interns and prepare you for a future at F5.</li></ul><ul><li>
Path to Permanency: Excel in your internship and return to a full-time role in the same location after graduation!</li></ul><div></div><div>
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5&rsquo;s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.</div><div></div><div>
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.</div><div></div>
The hourly U.S. pay range for this position is: $42.00 - $63.60<div></div><div><i>
F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5&rsquo;s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.</i></div><div></div><div><i>
You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5&rsquo;s benefits can be found at the following link: </i><div><i>https://www.f5.com/company/careers/benefits</i></div><i>. F5 reserves the right to change or terminate any benefit plan without notice.</i></div><div></div><div>
Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).</div><div></div><div>
Equal Employment Opportunity</div><div></div><div>
It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting <div>accommodations@f5.com</div>.</div></div>

Software Development Engineer (AI/ML) Intern

<div>Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Sunnyvale, CA, USA; New York, NY, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.<br>
</li>
<li>2 years of experience programming in Python or C++.<br>
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.<br>
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.</p>
<p>
AI will change the future of work in profound ways, and our products&mdash; Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.</p><br>
<p>
The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p>
<p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Write product or system development code.<br>
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)<br>
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.<br>
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.<br>
</li>
<li>Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.<br>
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML GenAI, Google Workspace

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