software engineer

2026 summer intern - biology research | ai development Jobs in San Francisco

2026 summer intern - biology research | ai development

early career software engineer – applied ai Jobs in San Francisco

early career software engineer – applied ai

member of technical staff - machine learning engineer, agi autonomy Jobs in San Francisco

member of technical staff - machine learning engineer, agi autonomy

senior design lead - ai designer & animator Jobs in San Francisco

senior design lead - ai designer & animator

early career software engineer applied ai

Wonderschool - a16z & Goldman

<div>
 
 About Wonderschool
 
 
 
 Wonderschool is harnessing the power of technology to provide comprehensive support to childcare providers operating out of their homes as well as in the government and non-profit sectors. Our products enable childcare providers to create high-quality environments and meet the demands of their business, while also helping parents in need of childcare solutions through the creation of an accessible marketplace.
 
 
 We are seeking a highly skilled and motivated Early Career Software Engineer to join our team. As the Early Career Software Engineer, you will play a crucial role in leading our software development initiatives, working with a talented team to create innovative solutions. Your expertise in delivery of high-quality software will be essential in driving the development of our cutting-edge applications.
 
 
 
 Role Overview
 
 
 
 We are seeking an Early Career Software Engineer with an interest in applied AI to join our growing team. This is a unique opportunity to work in a fast-paced, purpose-driven environment where you can apply your technical skills to create meaningful impact in the childcare ecosystem. You&rsquo;ll collaborate with cross-functional teams to build scalable, AI-driven solutions that empower childcare providers and improve parent experiences. This position is on site in our San Francisco office, Tuesday, Wednesday, and Thursday to allow for collaboration.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain robust software solutions with a focus on integrating AI capabilities.
 </li>
 <li>
 Collaborate with product managers, designers, and engineers to define requirements and implement innovative features.
 </li>
 <li>
 Design and Development of AI Agents: Build modular, task-specific AI agents capable of natural language understanding, dialogue management, and action execution using frameworks such as LangChain or Rasa.
 </li>
 <li>
 Debug and troubleshoot technical issues to ensure platform stability.
 </li>
 <li>
 Stay current with emerging technologies and best practices in software engineering and AI.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.
 </li>
 <li>
 Strong foundation in programming languages (e.g., Python, JavaScript, or TypeScript).
 </li>
 <li>
 Familiarity with AI/ML concepts and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Basic understanding of cloud platforms like Google Cloud Platform and AWS.
 </li>
 <li>
 Excellent communication skills and ability to work in a collaborative, in-person environment.
 
 
 </li>
 </ul>
 
 Nice-to-Have Skills
 
 
 
 <ul>
 <li>
 Strong understanding of machine learning principles, including model development, evaluation, and deployment for real-world applications.
 </li>
 <li>
 Retrieval-Augmented Generation (RAG) Pipelines: Design and deploy RAG pipelines by integrating retrievers with generative models to enable contextual, real-time responses using vectorized knowledge bases.
 </li>
 <li>
 Continuous Learning: Incorporate user feedback loops and data augmentation techniques to iteratively improve the performance and relevance of AI agents and RAG pipelines.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Compensation: Expected salary range is $100K&ndash;$120K annually, based on experience and location.
 </li>
 <li>
 Health Benefits: 100% coverage for employee premiums and 80% for dependents.
 </li>
 <li>
 Wellness: Flexible PTO, mental wellness days, and reimbursements for wellness initiatives.
 </li>
 <li>
 Parental Leave: Competitive policies eligible after six months of employment.
 </li>
 <li>
 Work Environment: 3-5 Days in our SF Office in Downtown in SF with lunch covered.
 
 
 </li>
 </ul>
 Wonderschool&rsquo;s mission is to ensure every child has access to child care that helps them realize their potential. We are doing this by building a suite of tools to support passionate early care and education professionals to start and run quality and sustainable child care programs. Our tools allow providers to easily manage their students, parents, and school all from one dashboard. Our community allows providers to seek advice, support, and a sense of belonging with a group of like-minded peers.
 
 
 For parents, our marketplace allows parents to easily search for schools, schedule visits, enroll their children, and make payments.
 
 
 The first five years of a child&rsquo;s life are critical for nurturing brain development for success in school and beyond. All children deserve access to a care situation that will allow them to grow into healthy, lifelong learners. By leading a revolution where all children are able to get access to an environment to develop these skills, we can create drastic changes to neighborhoods and societies as a whole.
</div>

Early Career Software Engineer – Applied AI

Comulate

<div>
 At Comulate, we&rsquo;re transforming the insurance back office with AI. Our platform, which reinvents expensive and time-consuming accounting processes, is the first step in our vision to unlock the hundreds of billions of dollars spent on manual insurance operations.
 
 
 Our Series B, announced in early 2025, led by BOND &amp; Workday, comes on the heels of record growth and accelerating expansion plans.
 
 
 Why you should consider joining
 
 
 <ul>
 <li>
 Record-setting growth, having gone from zero to 8-figure ARR within three years of founding, representing 95th+ percentile company growth among startups that achieve these milestones
 </li>
 <li>
 Strong product market fit revealed in growth and through customer love, with users describing the platform as &ldquo;the best thing since sliced bread&rdquo; and "life-changing"
 </li>
 <li>
 Our lean, talented team is creating category-defining products for large public and private enterprises, driving 7-figure ROI and cash-flow positive operations, providing the best of both worlds: outsized employee ownership and low company risk
 </li>
 <li>
 We're continuing to take big, ambitious first-to-market bets for a highly committed customer base and an exciting pipeline of new customers
 </li>
 <li>
 We&rsquo;re in the early innings of our vision and poised to take advantage of the massive opportunity to deploy AI into core workflows throughout the insurance industry
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We&rsquo;re hiring software engineers to join us onsite in San Francisco. You&rsquo;ll build critical systems, services, and customer-facing features end-to-end. You&rsquo;ll be doing a lot of zero to one, breaking down high-level goals, diving into ambiguity and experimenting to find the best solutions. As an early employee, you&rsquo;ll also contribute heavily to building the company&rsquo;s team and culture.
 
 
 Our stack: TypeScript, React, Node, Postgres, GraphQL (Apollo), Next.js
 
 
 Learn more about our engineering culture and learnings on our engineering blog.
 
 
 You might be a good fit if you have/are
 
 
 <ul>
 <li>
 2+ years of experience as a software engineer
 </li>
 <li>
 A strong desire to directly understand customer problems and design solutions for them
 </li>
 <li>
 Demonstrated abilities in one part of the stack (e.g. front-end / back-end)
 </li>
 <li>
 Desire for self-directed learning quickly in an early-stage startup environment
 </li>
 <li>
 Familiarity or interest in Typescript, React, GraphQL, Postgres, or Next.js
 </li>
 <li>
 Not required: insurance knowledge &ndash; we promise, you&rsquo;ll pick up the necessary pieces fast!
 
 
 </li>
 </ul>
 Our team &amp; philosophy
 
 
 We&rsquo;re backed by BOND, Spark Capital, Neo, and Workday, as well as founders/executives from Brex, Asana, Plaid, Applied Intuition, Coalition, and more.
 
 
 Our team hails from companies like Airbnb, Google, Brex, and LiveRamp and we&rsquo;re fairly low-profile: focusing the majority of our energy on delivering for customers and building a category-defining company.
 
 
 We&rsquo;re hiring predominantly in San Francisco 🌁, as we believe in-person collaboration is strategically important for a company at our stage &mdash; both for velocity and company culture.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive base salary and generous equity
 </li>
 <li>
 Generous medical, dental, and vision benefits
 </li>
 <li>
 401K plan enrollment
 </li>
 <li>
 Flexible time-off policy
 </li>
 <li>
 Lunch &amp; dinner every day
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Company outings and offsites
 </li>
 <li>
 (and more benefits as we grow!)
 
 
 </li>
 </ul>
 
 Comulate is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics.
 
 
 
 Compensation Range: $140K - $180K
 
 
</div>

Software Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The AGI Autonomy Perception team performs applied machine learning research, including model training, dataset design, pre- and post- training. We train Nova Act, our state-of-the art computer use agent, to understand arbitrary human interfaces in the digital world. We are seeking a Machine Learning Engineer who combines strong ML expertise with software engineering excellence to scale and optimize our ML workflows. You will be a key member on our research team, helping accelerate the development of our leading computer-use agent. We are seeking a strong engineer who has a passion for scaling ML models and datasets, designing new ML frameworks, improving engineering practices, and accelerating the velocity of AI development. You will be hired as a Member of Technical Staff. 
 
Key job responsibilities 
<ul><li>Design, build, and deploy machine learning models, frameworks, and data pipelines</li><li>Optimize ML training, inference, and evaluation workflows for reliability and performance</li><li>Evaluate and improve ML model performance and metrics</li><li>Develop tools and infrastructure to enhance ML development productivity</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience with machine learning (ML) tools and methods</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in Python, Perl, or another scripting language</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. 
 
Pursuant to the San Francisco 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. 
 
Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay for this position ranges from $120,000/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors, including market location, and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.</div>

Member of Technical Staff - Machine Learning Engineer, AGI Autonomy

Arcade

<div>
 
 About Arcade
 
 
 
 Arcade is building the world&rsquo;s first AI physical product creation platform, where imagination becomes reality. Our platform lets anyone design, purchase, and sell custom, manufacturable products using natural language and generative AI. We believe everyone should have the power to create physical goods as easily as they post online, and we&rsquo;re building the infrastructure to make that real.
 
 
 We&rsquo;ve raised $42M from a world-class group of investors, including Reid Hoffman, Forerunner Ventures (Kirsten Green), Canaan Partners (Laura Chau), Adverb Ventures (April Underwood), Factorial Funds (Sol Bier), Offline Ventures (Brit Morin), Sound Ventures (Ashton Kutcher), Inspired Capital (Alexa von Tobel), and Torch Capital (Jonathan Keidan). Our angel investors include Elad Gil, Ev Williams, Marissa Mayer, Sara Beykpour, Kayvon Beykpour, Anna Veronika Dorogush, Eugenia Kuyda, David Luan, Sharon Zhou, Kelly Wearstler, Karlie Kloss, Colin Kaepernick, Christy Turlington Burns, and Jeff Wilke.
 
 
 Arcade is headquartered in San Francisco&rsquo;s Presidio and led by serial entrepreneur Mariam Naficy (Minted, Eve), and a founding team with deep experience in generative AI, design systems, and supply chain. We&rsquo;re pioneering a new category at the intersection of AI, personal expression, and on-demand manufacturing, and we&rsquo;re building fast.
 
 
 
 Role Summary
 
 
 
 As a Software Engineer at Arcade, you will work across our backend and AI systems to power the real-time, intelligent workflows that bring generative creation to life. You will own critical infrastructure, from model orchestration to caching layers to inference pipelines, and partner closely with AI research, product, and design to launch entirely new user experiences.
 
 
 This role is for systems-minded builders who care about performance, reliability, and clarity. You will move quickly, work collaboratively, and ship ambitious products that define new creative possibilities. You&rsquo;ll be joining a fast-moving, highly technical team where engineers ship bold ideas quickly and own them end-to-end.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and build scalable backend systems for model execution, prompt orchestration, agentic workflows, and real-time inference
 </li>
 <li>
 Own infrastructure for core user actions, including API design, job queues, caching, observability, and deployment
 </li>
 <li>
 Collaborate across AI research, product, and design to bring new capabilities into production
 </li>
 <li>
 Build core primitives for text-to-product creation, such as model pipelines, tool integrations, retrieval flows, and evaluation frameworks
 </li>
 <li>
 Continuously improve performance, latency, and stability across inference-heavy systems
 </li>
 <li>
 Contribute to a high-trust, high-velocity engineering culture
 
 
 </li>
 </ul>
 
 We're Looking For Engineers Who
 
 
 
 <ul>
 <li>
 Have strong backend and infrastructure foundations and enjoy building fast, reliable systems
 </li>
 <li>
 Have experience owning production systems that interact with real users or real-world data
 </li>
 <li>
 Are excited about generative AI and have worked with LLMs, agent frameworks, vector search, or multimodal tools
 </li>
 <li>
 Move quickly from prototype to production and thrive in high-agency environments
 </li>
 <li>
 Care about product quality and user experience, even when working deep in the stack
 </li>
 <li>
 Bring energy, taste, and humility to everything they do
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 A background in Computer Science, Engineering, Physics, Mathematics, or a similar field
 </li>
 <li>
 Must be available to start sometime between January and August 2026
 </li>
 <li>
 Experience building and scaling backend systems in production
 </li>
 <li>
 Proficiency with Python and backend frameworks such as Django or FastAPI
 </li>
 <li>
 Familiarity with cloud infrastructure tools like GCP, Kubernetes, Docker, and Pub/Sub
 </li>
 <li>
 Hands-on experience with LLM pipelines, model orchestration, or prompt tooling in production or personal projects
 </li>
 <li>
 Strong debugging, performance tuning, and system design skills
 </li>
 <li>
 Bonus: experience at early-stage startups, with generative AI products, or in creative tooling
 
 
 </li>
 </ul>
 
 Additional
 
 
 
 Competitive compensation
 
 
 Lunch provided daily
 
 
 Company events
 
 
 Arcade is an equal opportunity employer. We&rsquo;re committed to building a diverse, inclusive, and supportive team, and to creating a platform where anyone, anywhere, can make something meaningful.
 
 
</div>

Handshake

<div>
 
 About Handshake
 
 
 
 
 Handshake
 
 is building the career network for the AI economy, backed by the largest and most trusted job network on the internet. As the only three-sided job marketplace connecting 18 million knowledge workers, 1,500 educational institutions, and 1 million employers, Handshake powers career discovery, hiring, and upskilling&mdash;from first internships to full-time roles, freelance work to gig work, and beyond.
 
 
 Founded in 2014, we&rsquo;ve built the most trusted platform for early talent&mdash;owning the college-to-career market and powering nearly every career center. Today we&rsquo;re building on that foundation to help students and early professionals upskill or reskill for the future.
 
 
 Now&rsquo;s a great time to join Handshake. Here&rsquo;s why:
 
 
 <ul>
 <li>
 Category Leader: Over 92% coverage across US universities &amp; 77% of total US university student population.
 </li>
 <li>
 Proven Market Demand: Deep employer partnerships across Fortune 500s and the world&rsquo;s leading AI research labs.
 </li>
 <li>
 World-Class Team: Leadership from Scale AI, Open AI, xAI, Notion, Coinbase, and Palantir, just to name a few.
 </li>
 <li>
 Capitalized &amp; Scaling: $434M raised with a $175M+ run rate.
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a Mid Market Account Manager, you will own gross dollar retention and drive growth across your book of business. You will be responsible for running renewal cycles, prospecting within your existing accounts to identify expansion opportunities, and upselling and cross selling throughout your book of business. This includes discovery with executives, proving ROI and value, and partnering with CSMs who manage risk and adoption at the end-user level
 
 
 You Will Work Closely With Your CSM Counterpart But Own The Commercial Relationship. You Will Lead Value Conversations, Run Competitive Intel As Needed, Forecast Renewal Outcomes, And Build Strategies To Increase Account Penetration. You Will Also Be Expected To Identify New Buying Centers When Relevant, Including Functions Like Marketing That Engage With Handshake&rsquo;s Brand Bundle Products. You Will Also
 
 
 <ul>
 <li>
 Effectively renew, upsell and cross-sell an assigned book of business of existing premium employer partners primarily in the Mid Market segment
 </li>
 <li>
 Learn your book of business inside and out to effectively position Handshake&rsquo;s value proposition, always linking it back to key business issues of the customer
 </li>
 <li>
 Develop and cultivate deep relationships with senior executives at the Director, SVP, and VP levels at our partners
 </li>
 <li>
 Develop new and creative ways to engage senior executives throughout the customer lifecycle and demonstrate Handshake&rsquo;s value
 </li>
 <li>
 Partner closely with our Employer Customer Success Team to ensure customers adopt and are successful on Handshake
 </li>
 <li>
 Manage and present data and value-driven Quarterly Business Reviews
 </li>
 <li>
 Manage overall customer loyalty, serving as internal advocate and escalation point to customers
 </li>
 <li>
 Becoming a Handshake expert, learning the ins and outs of HR and higher ed Tech
 
 
 </li>
 </ul>
 
 Desired Capabilities
 
 
 
 <ul>
 <li>
 3-5+ years of account management or customer success experience in SaaS
 </li>
 <li>
 1-3+ years managing expansion and renewal revenue with quota responsibility
 </li>
 <li>
 Track record of quota attainment
 </li>
 <li>
 Experience managing 50+ accounts in a portfolio model
 </li>
 <li>
 Strong history of retention and expansion revenue
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 Handshake delivers benefits that help you feel supported&mdash;and thrive at work and in life.
 
 
 
 
 The below benefits are for full-time US employees.
 
 
 
 
 🎯
 
 Ownership:
 
 Equity in a fast-growing company
 
 
 💰
 
 Financial Wellness
 
 : 401(k) match, competitive compensation, financial coaching
 
 
 🍼
 
 Family Support:
 
 Paid parental leave, fertility benefits, parental coaching
 
 
 💝
 
 Wellbeing:
 
 Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚
 
 Growth:
 
 $2,000 learning stipend, ongoing development
 
 
 💻
 
 Remote &amp; Office:
 
 Internet, commuting, and free lunch/gym in our SF office
 
 
 🏝
 
 Time Off:
 
 Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝
 
 Connection:
 
 Team outings &amp; referral bonuses
 
 
 Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
 
 
</div>

Mid-Market Account Manager

OpenAI

<div>
 
 About The Team
 
 
 
 The OpenAI Robotics team is focused on unlocking general-purpose robotics and pushing towards AGI-level intelligence in dynamic, real-world settings. Working across the entire model stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the constraints of physical systems to improve peoples&rsquo; lives.
 
 
 
 About The Role
 
 
 
 We are seeking a Field Engineer to own the day-to-day technical health of robotic workcells used in ongoing operations. You will diagnose and resolve issues across mechanical, electrical, and software disciplines, perform on-site repairs, and drive improvements that increase system reliability and maintainability. You will manage and prioritize incoming tickets, work closely with operators and engineering teams, and ensure that systems remain safe, functional, and ready for continuous use. Your work directly supports the high-uptime operation of the robotic systems that power key research and development efforts.
 
 
 
 This role will be based in San Francisco, CA until April 2026 and then move to Richmond, CA. We require 5 days in the office per week and offer relocation assistance to new employees.
 
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Serve as the primary engineering owner responsible for keeping our fleet of robotic workcells online in daily operation.
 </li>
 <li>
 Partner closely with technicians and operations staff to develop and execute scalable fleet support processes.
 </li>
 <li>
 Diagnose and fix/mitigate/escalate novel issues spanning mechanics, electronics, controls, and software interfaces.
 </li>
 <li>
 Create documentation and diagnostic playbooks that allow technicians to operationalize engineering insights at fleet scale
 </li>
 <li>
 Develop (or spec) HW and SW tools to improve fleet support, monitoring, and diagnostics for all stakeholders
 </li>
 <li>
 Perform on-site troubleshooting and pair-debugging with technicians
 </li>
 <li>
 Bring up and support prototype systems directly, transitioning them to scalable operations processes as they mature
 </li>
 <li>
 Use CAD to design small components, fixtures, brackets, or light modifications to existing assemblies.
 </li>
 <li>
 Write lightweight data analysis scripts to identify and track issues in the fleet
 </li>
 <li>
 Manage, triage, and respond to inbound tickets, escalate issues appropriately, and maintain clear documentation and handoffs.
 </li>
 <li>
 Provide high-signal failure reports, issue trends, and feedback to engineering teams to inform design improvements.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have experience being responsible for prototype or early-life robotic arms, automation equipment, or human-in-the-loop robotic systems and can serve as source of truth and author of &ldquo;robot manual&rdquo; for our deployed systems
 </li>
 <li>
 Have 5+ years of experience supporting HW and SW of electromechanical or robotic systems in production, R&amp;D, or operational environments.
 </li>
 <li>
 Can independently troubleshoot and repair issues under time pressure in a live operational setting.
 </li>
 <li>
 Are comfortable working across mechanical, electrical, and embedded-software disciplines.
 </li>
 <li>
 Can interpret logs, verify configurations, and perform basic software debugging.
 </li>
 <li>
 Excel at writing clear, structured issue reports and communicating concisely with operators, shift managers, and other engineers.
 </li>
 <li>
 Maintain strong organizational habits, including disciplined ticket management, documentation, and shift-to-shift communication.
 </li>
 <li>
 Love getting your hands dirty and running complex issues to ground
 </li>
 <li>
 Hold a Bachelor&rsquo;s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Robotics, or a related field.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with robot middleware, motion-control stacks, and real-time debugging tools.
 </li>
 <li>
 Experience troubleshooting issues in complicated electrical assemblies and wire harnesses
 </li>
 <li>
 Background in labs, test engineering, field service, or other environments requiring strict safety and uptime standards.
 </li>
 <li>
 Ability to write SOPs, maintenance procedures, and clear technical documentation.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $310K - $380K
</div>

Field Engineer

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you a brilliant mind seeking to push the boundaries of what's possible with intelligent robotics? Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation. 
As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics. 
This internship is not just about executing tasks &ndash; it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions. 
Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. 
Join us at the forefront of applied robotics and AI, where your contributions will shape the future of intelligent systems and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. 
 
Must be eligible and available for a full-time (40h/ week) 12 week internship between May 2026 and September 2026. 
 
Amazon has positions available in San Francisco, CA and Seattle, WA. 
 
The ideal candidate should possess: 
<ul><li>Strong background in machine learning, deep learning, and/or robotics</li><li>Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR.</li><li>Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models.</li><li>Proficiency in Python, Experience with PyTorch or JAX</li><li>Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team</li></ul> 
Apply now and embark on an extraordinary journey of discovery and innovation! 
 
Key job responsibilities 
<ul><li>Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics</li><li>Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control</li><li>Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning</li><li>Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Are enrolled in a PhD</li><li>Can relocate to where the internship is based</li><li>Experience programming in Java, C++, Python or related language</li><li>Must be available for full-time (40 hours per week) internship for the whole duration of the internship</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Have publications at top-tier peer-reviewed conferences or journals</li><li>Experience in designing experiments and statistical analysis of results</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. 
 
Pursuant to the San Francisco 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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $107.40/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics

Explore 113+ Early career software engineer applied ai in San Francisco this December. Find roles across top companies and apply now to boost your career.

113 early career software engineer applied ai jobs IN San Francisco

Early Career Software Engineer – Applied AI

Software Engineer

Member of Technical Staff - Machine Learning Engineer, AGI Autonomy

Software Engineer

Mid-Market Account Manager

Field Engineer

2026 Applied Science Internship - United States, PhD Student Science Recruiting, Frontier AI & Robotics