software engineer

machine learning engineer Jobs in San Francisco

machine learning engineer

software engineer (all levels) Jobs in San Francisco

software engineer (all levels)

software engineer, member ai features Jobs in San Francisco

software engineer, member ai features

ai engineer, ai & data platforms (aidp) Jobs in San Francisco

ai engineer, ai & data platforms (aidp)

data software engineer

OpenAI

About the team
 
OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.
 
In pursuit of this mission, our Enterprise Platform team is responsible for enabling our Sales teams as they help customers deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.
 
About the role
 
Our GTM team exists to help customers understand the transformational potential of OpenAI’s models, and we believe our own systems should reflect that same intelligence. We’re looking for a Salesforce Engineer to partner with Growth, Marketing, and Sales to build systems that power customer engagement, lifecycle activation, and pipeline creation—supported by strong data enrichment and orchestration across the GTM stack.
 
The primary charter of this role is lead management, sales and marketing engagement workflows, and the enrichment and orchestration of customer data across multiple sources—ensuring Salesforce and adjacent GTM systems are powered by accurate, actionable data to support pipeline creation at scale.
 
In this role, you'll: 
Build Lead-to-Opportunity solutions in Salesforce: 
Develop user experiences, automations, and data enrichment workflows that help capture, qualify, and route inbound and outbound demand efficiently—ensuring leads are enriched with accurate firmographic, technographic, and behavioral data and progressed through early pipeline stages with strong governance.
 
Engineer integrations across the top-of-funnel stack: 
Connect Salesforce with marketing automation platforms, enrichment providers, sales engagement tools, routing engines, and event-driven data sources—supporting the orchestration of customer and account data across multiple upstream and downstream systems to enable accurate lead management and timely Marketing-to-Sales handoff.
 
Test, troubleshoot, and document: 
Resolve production issues impacting lead capture, routing, enrichment, and sales engagement workflows while maintaining clear documentation aligned with scalable intake, change management, and deployment best practices for data movement across GTM systems.
 
Partner cross-functionally: 
Collaborate daily with GTM, Marketing, Growth, Product, and Data teams to design scalable Salesforce-based solutions that support prospecting, pipeline generation, and early-stage customer lifecycle engagement—powered by orchestrated and enriched data across the GTM stack
 
You might thrive in this role if you have: 
Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across opportunity, quote, order, and billing domains.
 
Proven experience designing and implementing robust integrations between Salesforce and external systems.
 
Proven ability to build, test, document, and deploy scoped solutions using SDLC best practices.
 
Strong cross-functional communication skills and a track record of partnering with GTM, Finance, and Operations teams to deliver complex requirements.
 
Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in AI-driven or high-growth SaaS businesses.
 
Nice to Have
 
Familiarity with lead management and sales engagement concepts including inbound lifecycle orchestration, outbound sequencing, enrichment-driven qualification, lead scoring and routing logic, and data reconciliation across marketing automation, sales engagement, and CRM systems to support accurate pipeline creation.
 
Software development experience outside Salesforce.
 
DevOps management.
 
Salesforce Experience Cloud.
 
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’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.
 
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
 
$260K – $288K + Offers Equity

Lead to Opportunity, Data Systems Engineer

Middesk

<div>About Middesk
Middesk makes it easier for businesses to work together. Since 2018, we&rsquo;ve been transforming business identity verification, replacing slow, manual processes with seamless access to complete, up-to-date data. Our platform helps companies across industries confidently verify business identities, onboard customers faster, and reduce risk at every stage of the customer lifecycle.
Middesk came out of Y Combinator, is backed by Sequoia Capital and Accel Partners, and was recently named to Forbes Fintech 50 List and cited as an industry leader in business verification by digital identity strategy firm, Liminal.
About Middesk Engineering:
Middesk is, at its core, a data company. We live by the quality of our data assets and the engine that powers them. We&rsquo;re on a mission to build a comprehensive and complete business dataset for every business in the world. As part of the Data Platform team at Middesk, you&rsquo;ll collaborate with Data Science, Infrastructure and Product Engineering teams to build and maintain our own proprietary Entity Resolution system used to power the Middesk business identity platform, scaling our system to resolve millions of business identities across hundreds of data sources and thousands of distinct data sets. You&rsquo;ll often work with and support product engineers looking to launch new products and features.
The Role:
We're looking for a senior engineer to own and drive the technical direction of our data platform. You'll design data infrastructure systems that operate reliably at scale, define the architecture for how we acquire, transform, and serve data to product teams, and partner closely with engineering leadership to align platform strategy with company priorities.
You'll be expected to independently scope complex projects from ambiguous problem statements, break them into incremental deliverables, and drive them to completion while keeping stakeholders informed and adapting when priorities shift. You'll also play a key role in elevating the engineering practices of the team through mentorship, code review, and setting technical standards.
What You'll Do:<ul><li>
Own platform architecture and technical direction for how we ingest, transform, and serve data across highly variable input formats - business entity data sourced from thousands of government agencies, registries, and third-party providers, each with its own schema, cadence, and reliability profile</li><li>
Design and build systems for scale - both the infrastructure we need today and the infrastructure we'll need at 2&ndash;5x our current volume</li><li>
Scope and drive complex projects end-to-end, breaking ambiguous problems into well-defined milestones with clear deliverables and timelines</li><li>
Design AI-powered tooling to improve how we acquire and maintain data using LLMs, AI agents, and agent orchestration</li><li>
Partner with product engineering, data science, and business teams to understand data needs and translate them into platform capabilities</li><li>
Establish and maintain data governance and quality standards across the platform, ensuring the integrity and reliability of the data our customers depend on for compliance and risk decisions</li></ul>
What We&rsquo;re Looking For:<ul><li>
7+ years of professional software engineering experience, with meaningful time spent on data infrastructure, data engineering, or backend platform work (targeting Senior to Staff Level Engineers)</li><li>
Experience designing and operating systems at meaningful scale, ideally within a larger or rapidly scaling engineering organization</li><li>
Track record of independently owning and delivering complex, multi-milestone projects - from scoping through launch</li><li>
Strong data modeling instincts and deep familiarity with SQL, pipeline orchestration (Airflow, Dagster, etc.), and data transformation patterns</li><li>
Experience with distributed data processing frameworks (Spark, Flink, Beam, or similar) and an understanding of when and how to apply parallelization to scale pipelines beyond single-node limits</li><li>
Proficiency in one or more of: Python, Ruby, JavaScript/TypeScript, Java</li></ul>
Nice to Haves:<ul><li>
Experience working with or building AI/LLM-powered tooling or data products (strongly preferred)</li><li>
Experience with scraper technologies, including agentic AI</li><li>
Experience building and designing collections stored on Elasticsearch</li><li>
Experience operating event-driven data pipelines using serverless compute (e.g., AWS Lambda, Google Cloud Functions, Azure Functions) and managed cloud services</li><li>
Experience with Terraform, Datadog, or Kubernetes</li></ul>
Compensation Range: $205K - $275K</div>

Software Engineer, Data Platform

Turo

<div>
 
 About The Team
 
 
 
 Data is our fuel at Turo. It is ever-more abundant and valuable, but it's raw material. Harnessed by data scientists and machine learning engineers, it propels Turo on its mission to put the world&rsquo;s 1.5+ billion cars to better use, delighting our customers with matching the right car for their next adventure from an exceptionally diverse selection, and at the same time helping our marketplace remain safe.
 
 
 In this role, you&rsquo;ll be given the chance to work with cutting-edge technologies to build resilient, scalable systems for collecting and analyzing extensive data sets. Your responsibilities will include creating and managing data pipelines, and reports. If you're detail-oriented and enjoy troubleshooting and delving into data-related problems, this role is a great fit for you.
 
 
 Additionally, you are enthusiastic about gaining in-depth knowledge of the stakeholder domain(s). This involves working closely with multiple teams to thoroughly explore the various aspects of operations, including the functionalities of existing tools and current workflows.
 
 
 
 Strong communication skills and attention to detail are critical to be successful in this role.
 
 
 
 Learn more about our Engineering team here: https://www.beforeyouapply.com/team/engineering-at-turo
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Identify stakeholders&rsquo; data needs, define the project scope, and select the right implementation to address stakeholder pain points.
 </li>
 <li>
 Bridge the gap between the domain requirements and technology during the tool selection process. Your role involves ensuring that the chosen technology aligns with those requirements and the overall domain strategy.
 </li>
 <li>
 Maintaining constant communication with stakeholders regarding project progress, blockers, and expected timelines is crucial.
 </li>
 <li>
 Establish trust with stakeholders by consistently delivering high-quality data sets in a timely manner.
 </li>
 <li>
 Collaborate with stakeholders to continuously automate and improve existing workflows and/or processes.
 </li>
 <li>
 Align with stakeholders regarding their strategic goals and roadmap items on a semi-annual basis.
 </li>
 <li>
 Follow and contribute to best coding practices established by the team.
 </li>
 <li>
 Develop, deploy and maintain workflow management tools such as Airflow, Jenkins etc in cloud environments.
 </li>
 <li>
 Using cloud technology such as AWS, Kubernetes, Docker, Redshift, EMR.
 
 
 </li>
 </ul>
 
 Your Profile
 
 
 
 <ul>
 <li>
 Strong communication skills.
 </li>
 <li>
 Strong track record of delivering data focused projects on time and of high quality.
 </li>
 <li>
 Past experience building data pipelines and micro services.
 </li>
 <li>
 Past experience working with the specific domain is a plus.
 </li>
 <li>
 Strong software engineer who views their code as a craft.
 </li>
 <li>
 Strong experience in Python development.
 </li>
 <li>
 Experience with a workflow manager &mdash; Airflow, Luigi, Jenkins, etc.
 </li>
 <li>
 Experience working with data tools in the public cloud (AWS, GCP, Azure)
 </li>
 <li>
 2-3+ years of relevant experience.
 
 
 </li>
 </ul>
 For this role, the target base salary range in San Francisco is $134,000-$168,000 annually. This role is also eligible for equity and benefits. In general, our ranges reflect the market-based target for new hire salaries based on the level and location of the role. Within the range, individual pay is determined by objective factors assessed during the application and interview process, such as job-related skills, experience, and relevant education or training. We encourage you to talk with your recruiter to learn more about the total compensation and benefits available for this role.
 
 
 
 Turo highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Turists will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Turo considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Turo offers.
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary, equity, benefits, and perks for all full-time employees
 </li>
 <li>
 Employer-paid medical, dental, and vision insurance (Country specific)
 </li>
 <li>
 Retirement employer match
 </li>
 <li>
 Learning &amp; Development stipend to invest in your professional development
 </li>
 <li>
 Turo host matching program
 </li>
 <li>
 Turo travel credit
 </li>
 <li>
 Cell phone and internet stipend
 </li>
 <li>
 Paid time off to relax and recharge
 </li>
 <li>
 Paid holidays, volunteer time off, and parental leave
 </li>
 <li>
 For those who are in the office full-time or hybrid we have in-office lunch, office snacks, and fun activities
 
 
 </li>
 </ul>
 We are committed to building a diverse team. If you are from a background that's underrepresented in tech, we'd love to meet you.
 
 
 Aside from an award winning work environment and the opportunity to be part of the world&rsquo;s largest car sharing marketplace, we are also growing the team quickly - join us! Even if you don't meet every qualification, we are looking for people with enthusiasm for what we do and we will consider you for this and other possibilities.
 
 
 
 About Turo
 
 
 
 Turo is the world&rsquo;s largest car sharing marketplace where you can book the perfect car for wherever you&rsquo;re going from a vibrant community of trusted hosts across the US, UK, Canada, Australia, and France. Whether you're flying in from afar or looking for a car down the street, searching for a rugged truck or something smooth and swanky, Turo puts you in the driver's seat of an extraordinary selection of cars shared by local hosts.
 
 
 Discover Turo at https://turo.com, the App Store, and Google Play, and check out our blog, Field Notes.
 
 
 Read more about the Turo culture according to Turo CEO, Andre Haddad.
 
 
 Turo is an Equal Opportunity Employer and a participant in the U.S. Federal E-Verify program. Women, minorities, individuals with disabilities and protected veterans are encouraged to apply. We welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 Turo will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, as applicable.
 
 
 We welcome candidates with physical, mental, and/or neurological disabilities. If you require assistance applying for an open position, or need accommodation during the recruiting process due to a disability, please submit a request to People Operations by emailing PeopleOps@turo.com.
 
 
</div>

Software Data Engineer

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

Hayden AI

<div>
 
 About Us
 
 
 
 At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
 
 
 From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
 
 
 
 Job Title:
 
 Machine Learning Operations Engineer
 
 
 
 Company:
 
 Hayden AI Technologies, Inc.
 
 
 
 Location:
 
 460 Bryant Street, Suite 100, San Francisco, CA 94107
 
 
 
 Position Duties
 
 
 
 <ul>
 <li>
 Optimize orchestration processes to ensure efficient deployment and management of AI models.
 </li>
 <li>
 Implement cost-saving strategies to minimize infrastructure expenses while maximizing performance.
 </li>
 <li>
 Upgrade throughput to enhance scalability and responsiveness of AI systems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify bottlenecks and implement solutions to improve workflow efficiency.
 </li>
 <li>
 Ship new features and updates rapidly while maintaining high levels of quality and reliability.
 </li>
 <li>
 Deploy and monitor machine learning models produced by deep learning engineers.
 </li>
 <li>
 Design, deploy, and maintain performant and scalable processes for data acquisition and manipulation to enhance dataset accessibility.
 </li>
 <li>
 Participate actively in the team's software development process, including design reviews, code reviews, and brainstorming sessions.
 </li>
 <li>
 Maintain accurate and updated software development documentation.
 
 
 </li>
 </ul>
 
 Degree Requirements
 
 
 
 Bachelor of Science or Engineering degree or a foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electronics and Telecommunication Engineering, or a related field.
 
 
 
 Experience Requirement
 
 
 
 One (1) year of work experience in the job offered or as a Deep Learning Engineer, Perception Engineer II, MLOps, Research Engineer II, Machine Learning, Computer Vision Intern, or another related deep learning engineer role.
 
 
 
 Other Special Requirements
 
 
 
 <ul>
 <li>
 One (1) year of work experience with all of the following:
 </li>
 <ul>
 <li>
 Deploying real-world applied computer vision (including deep learning models) on edge devices
 </li>
 <li>
 Python programming and software design
 </li>
 <li>
 C++
 </li>
 <li>
 Software development tools and libraries including PyTorch, OpenCV, TensorFlow, MLflow
 </li>
 <li>
 Automated data annotation
 </li>
 <li>
 Distributed training in the cloud
 </li>
 <li>
 Deploying and managing GPU clusters for ML pipelines and workflows
 
 </li>
 </ul>
 </ul>
 
 Rate of Pay:
 
 $135,699.00 to $190,000.00 per year
 
 
 
 Location of Position and Interview:
 
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
 
 
 
 Applicants Should Submit Resumes To
 
 
 
 Janet Le-Mcintosh
 
 
 janet.le@hayden.ai
 
 
 Hayden AI Technologies, Inc.
 
 
 460 Bryant Street, Suite 100
 
 
 San Francisco, CA 94107
</div>

Machine Learning Operations Engineer

<div>
 We&rsquo;re building the next generation of OpenAI&rsquo;s internal developer experience, whether they&rsquo;re working human-only, agent-only, or fully hybrid. As AI changes how software gets written, reviewed, tested, and shipped, we are reimagining the best practices in the software development lifecycle, and integrating our dev infra and tooling into a seamless yet powerful offering.
 
 
 This role lives at the intersection of product design, engineering craft, and real-world scale. We&rsquo;re looking for a
 
 product-minded engineer
 
 who can own end-to-end experiences across multiple UI/UX surfaces across our internal tooling ecosystem, with a strong taste for interaction design and a keen eye for developer&rsquo;s needs.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Own major product areas end-to-end: problem discovery, UX iteration, technical design, implementation, rollout, and ongoing improvements.
 </li>
 <li>
 Partner closely with engineers and internal stakeholders to understand pain points and translate them into simple, effective UI/UX for core developer workflows.
 </li>
 <li>
 Integrate and iterate on AI-empowered DevEx that balances capability vs simplicity/control.
 </li>
 <li>
 Set a high bar for performance, reliability, and usability, providing a world-class product experience for every engineer at OpenAI.
 
 
 </li>
 </ul>
 
 You might thrive in this role if you
 
 
 
 <ul>
 <li>
 Have 5+ years of professional engineering experience (excluding internships) building user-facing products.
 </li>
 <li>
 Are a strong frontend engineer or a full-stack engineer with deep UI instincts, and modern web fundamentals (TypeScript, React, component design, state management).
 </li>
 <li>
 Have built products in zero-to-one environments, or owned a product surface with ambiguous requirements and high urgency.
 </li>
 <li>
 Have experience building internal tools, enterprise tools, or workflow-heavy products for technical users.
 
 
 </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: $185K - $490K
</div>

Software Engineer, Full-Stack — Developer Experience

KP Reddy

<div>
 
 About The Job
 
 
 
 Here, we partner with forward-thinking organizations in the AEC (Architecture, Engineering, and Construction) industry to push the boundaries of how the built environment is designed and delivered. As the premier full-service management advisory firm exclusively focused on the built world, we combine domain expertise with leading-edge technology strategy to solve real problems at scale.
 
 
 We are seeking a Software Engineer - Full Stack to help build, refine, and maintain production-grade software that supports AEC workflows. You'll work alongside senior engineers to develop robust backend services, create responsive web interfaces, and ensure our systems meet the reliability demands of enterprise clients. This role emphasizes learning, ownership, and steady growth&mdash;you'll start by contributing to existing systems and progressively take on more complex challenges as you develop expertise.
 
 
 This is an ideal opportunity for a recent graduate who wants to apply full-stack development skills in a high-impact industry context, working with modern cloud infrastructure, AI-integrated systems, and real-world data pipelines.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain full-stack features using React frontends and Python backend services, following established architectural patterns and coding standards.
 </li>
 <li>
 Write clean, well-tested, and documented code that meets production quality standards for enterprise AEC applications.
 </li>
 <li>
 Collaborate with senior engineers to troubleshoot, debug, and resolve issues across the stack, contributing to system reliability and performance.
 </li>
 <li>
 Build and consume RESTful APIs that integrate with internal services and third-party AEC tools.
 </li>
 <li>
 Participate in code reviews&mdash;both giving and receiving constructive feedback to improve code quality and personal growth.
 </li>
 <li>
 Contribute to containerized microservices deployed on AWS, gaining hands-on experience with cloud-native development practices.
 </li>
 <li>
 Support data pipelines and integrations that process AEC project data, documents, and workflows.
 </li>
 <li>
 Document technical implementations, contribute to runbooks, and help maintain internal knowledge bases.
 </li>
 <li>
 Participate in agile development processes, including sprint planning, standups, and retrospectives.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (recent graduates welcome).
 </li>
 <li>
 Solid foundation in data structures, algorithms, and object-oriented programming principles.
 </li>
 <li>
 Proficiency in Python with experience building backend services or APIs.
 </li>
 <li>
 Experience with React.js and modern JavaScript/TypeScript for frontend development.
 </li>
 <li>
 Familiarity with relational databases (PostgreSQL, MySQL) and writing SQL queries.
 </li>
 <li>
 Basic understanding of Git workflows and collaborative development practices.
 </li>
 <li>
 Exposure to containerization concepts (Docker) through coursework, projects, or internships.
 </li>
 <li>
 Strong problem-solving skills and a willingness to learn in a fast-paced environment.
 </li>
 <li>
 Excellent communication skills and ability to work effectively in a collaborative team setting.
 
 
 </li>
 </ul>
 
 Preferred Qualifications (A Plus, Not a Requirement)
 
 
 
 <ul>
 <li>
 Internship or project experience with full-stack application development.
 </li>
 <li>
 Familiarity with at least one major cloud platform (AWS, Azure, or GCP).
 </li>
 <li>
 Experience with testing frameworks and writing unit/integration tests.
 </li>
 <li>
 Exposure to CI/CD concepts and tools (GitHub Actions, Jenkins, or similar).
 </li>
 <li>
 Knowledge of GraphQL or experience designing API contracts.
 </li>
 <li>
 Coursework or projects involving distributed systems, databases, or cloud computing.
 </li>
 <li>
 Any exposure to the AEC industry, CAD/BIM tools, or construction technology.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Gain
 
 
 
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 A structured path to grow from junior engineer to mid-level and beyond, with mentorship from experienced engineers and technical leaders.
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 Hands-on experience building and maintaining production systems that serve real enterprise clients in the AEC industry.
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 Exposure to modern development practices including containerization, cloud-native architecture, CI/CD pipelines, and observability.
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 The opportunity to work on diverse technical challenges spanning web applications, data processing, and AI-integrated systems.
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 A collaborative environment that values learning, experimentation, and pragmatic problem-solving.
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 Direct impact on products that influence how buildings and infrastructure are designed and delivered.
 
 
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 Why us?
 
 
 
 Here, young engineers aren't relegated to bug fixes and maintenance tickets&mdash;you'll be a contributing member of a team building technology that transforms a $10 trillion global industry. We believe in learning by doing, and you'll have real ownership of features and systems from day one. Our senior engineers are committed to mentorship, providing guidance while giving you the autonomy to grow. You'll work on problems that matter, using modern tools and practices, in an environment that rewards curiosity and initiative.
 
 
 If you're a recent graduate eager to build production software, learn from experienced engineers, and make an impact in an industry ripe for transformation, we want to hear from you.
 
 
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Software Engineer - Full Stack

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