ar manager, security, aws - analyst relations

automation hardware & software integration engineer

mechanical design engineer/robotics engineer

2026 future talent program - discovery biologics - intern

agent product manager, agent tools - san francisco

junior software engineer Jobs in San Francisco

junior software engineer

software engineer

ar manager, security, aws - analyst relations Jobs in San Francisco

automation hardware & software integration engineer Jobs in San Francisco

mechanical design engineer/robotics engineer Jobs in San Francisco

sr ai ml engineer 4

Realign

<div>San Francisco, California 94016 Posted February 24th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Contract
Job Category: IT
Job Description
Role: Sr. AI/ML Engineer<ul><li> Experience &ndash; 10+ Years</li><li> Location - San Francisco, CA &ndash; LOCALS Only</li></ul><div>
Required Qualifications 
<ul><li>Deep expertise in Machine Learning, Generative AI, LLMs, RAG, and AI orchestration.</li><li>Strong understanding of Azure OpenAI, AWS Bedrock, or similar platforms.</li><li>Experience deploying AI in regulated environments.</li><li>Hands-on architectural and engineering leadership capabilities.</li><li>Strong communication skills with VP/Senior Director stakeholders.</li></ul>
 Preferred Qualifications 
<ul><li>12+ years in AI/ML, data engineering, or digital transformation.</li><li>Prior experience leading enterprise AI programs.</li><li>Utility domain experience (wildfire, grid, operations).</li><li>Knowledge of Responsible AI frameworks (NIST AI RMF, ISO 42001).</li></ul> 

Roles &amp; Responsibilities 
Role Overview 
Utilities are accelerating their enterprise AI adoption across Operations, Customer Experience, Wildfire Safety, Regulatory, and IT. The AI Lead will serve as the strategic driver for enterprise AI transformation&mdash;defining vision, governance, enterprise architecture, and leading delivery of high-impact GenAI and ML solutions.</div><div> 
Key Responsibilities 
<ul><li>Define the enterprise AI vision, roadmap, and operating model.</li><li>Identify and prioritize AI/ML/GenAI opportunities across business units.</li><li>Drive design and deployment of AI solutions including consultation agents, hazard detection, regulatory Q&amp;A automation, and contact center assistants.</li><li>Establish AI governance, compliance, model risk management, and auditability frameworks.</li><li>Lead cross-functional AI programs spanning IT, Operations, Customer Care, Regulatory, Safety, and Field Ops.</li><li>Mentor and guide data scientists, ML engineers, architects, and product owners.</li><li>Promote AI literacy, change management, and best practices across the enterprise.</li></ul></div>
Required Skills
DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER</div>

Sr. AI/ML Engineer-4

Zendesk

<div><h2 class="jobSectionHeader">Job Description
</h2>Role: Machine Learning Engineer
TBH#:
Location: US 
 
Zendesk&rsquo;s people have one goal in mind: to make Customer Experience better. 
 
The Enterprise Machine Learning team drives organizational value through scalable ML solutions and data-driven insights, fundamentally changing how business decisions are made. We collaborate closely with stakeholders, applying the latest advances in machine learning, deep learning, and large language models (LLMs) to create highly impactful outcomes. Our commitment is to advance the state of AI, statistical modeling, and robust system design to enhance and expand our core business capabilities.
<h3 class="jobSectionHeader">Role Overview
</h3>As a Machine Learning Engineer, you will serve as a technical and strategic member within the team, driving the development and deployment of advanced data science and machine learning solutions&mdash;particularly those harnessing LLMs and deep learning. You will architect and scale ML systems, foster effective cross-functional collaborations, and ensure that business value is embedded in every technical decision. Your business acumen allows you to translate complex analytical approaches into actionable insights and stakeholder-friendly narratives, strengthening partnership and adoption across the enterprise.
<h3 class="jobSectionHeader">Key Responsibilities
</h3><ul><li>Drive the design, development, and deployment of advanced ML and AI solutions, with an emphasis on large language models (LLMs), deep learning architectures, and sophisticated statistical modeling.
</li><li>Build scalable, robust data science systems&mdash;from data ingestion, data curation, data modeling to algorithm development, model deployment and monitoring&mdash;meeting enterprise-grade performance, reliability, and compliance standards.
</li><li>Act as a subject matter expert, collaborating with data scientists, ML engineers, analysts, and business stakeholders to understand needs, define requirements, and deliver practical solutions with measurable business impact.
</li><li>Effectively articulate complex technical concepts to non-technical partners, bridging gaps between technical teams and business operations for maximum results.
</li><li>Drive adoption of best practices in MLOps, including CI/CD pipelines, containerization, orchestration, observability, and reproducibility.
</li><li>Oversee and enhance the integrity, security, and compliance of all data science workflows and contracts.
</li><li>Stay abreast of the latest industry advancements in ML, LLMs, deep learning, cloud data engineering, and MLOps solutions (AWS, Kubernetes, Snowflake, etc.).
</li><li>Fostering technical excellence and ensuring alignment with business objectives.
</li></ul><h3 class="jobSectionHeader">What We&rsquo;re Looking For
</h3><ul><li>Education &amp; Experience:
<ul><li>3+ years&rsquo; experience in Data Science, Machine Learning, or a related field
</li><li>BA/BS in Computer Science, Data Science, or related discipline (advanced degree is highly preferred)
</li></ul></li><li>Technical Expertise:
<ul><li>Deep expertise in statistical modeling, machine learning, and deep learning (including practical experience with LLMs and transformers)
</li><li>Strong programming skills (Python preferred; Java, Scala, or similar also valued)
</li><li>Proven ability to build and optimize scalable data science solutions&mdash;end-to-end&mdash;from data pipelines (dbt, Astronomer, Snowflake, AWS) to deployment and monitoring (Docker, Kubernetes, CI/CD, MLOps best practices)
</li><li>Experience handling and analyzing large datasets, with a preference for experience in cloud data warehouses (Snowflake)
</li></ul></li><li>Business Acumen:
<ul><li>Demonstrated success in translating business needs into analytical solutions, driving quantifiable impact
</li><li>Strong stakeholder engagement skills, with a track record of building trusted business partnerships and driving adoption of data science initiatives
</li></ul></li><li>Communication &amp; Collaboration:
<ul><li>Exceptional ability to simplify and communicate complex data science concepts to technical and non-technical audiences alike
</li><li>Experience working cross-functionally with engineers, analysts, and product leaders
</li><li>Steadfast commitment to continuous learning, collaboration, and fostering an inclusive, innovative team environment
</li></ul></li></ul><h3 class="jobSectionHeader">Why You&rsquo;ll Thrive Here
</h3><ul><li>Opportunity to develop and scale of LLM and deep learning solutions with real-world business impact
</li><li>An environment that values innovation, ownership, and professional growth
</li><li>The chance to work on high-visibility, high-impact projects at scale alongside a passionate multidisciplinary team 
</li></ul> 
 
Zendesk builds software for better customer relationships. It empowers organizations to improve customer engagement and better understand their customers. Zendesk products are easy to use and implement. They give organizations the flexibility to move quickly, focus on innovation, and scale with their growth. Based in San Francisco, Zendesk has operations in the United States, Europe, Asia, Australia, and South America. Learn more at www.zendesk.com . 
 
Individuals seeking employment at Zendesk are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation.
The US annualized base salary range for this position is $206,000.00-$308,000.00. This position may also be eligible for bonus, benefits, or related incentives. While this range reflects the minimum and maximum value for new hire salaries for the position across all US locations, the offer for the successful candidate for this position will be based on job related capabilities, applicable experience, and other factors such as work location. Please note that the compensation details listed in US role postings reflect the base salary only (or OTE for commissions based roles), and do not include bonus, benefits, or related incentives.
Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.
The intelligent heart of customer experience
Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.
Zendesk believes in offering our people a fulfilling and inclusive experience. Our hybrid way of working, enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.
As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
Zendesk is an equal opportunity employer, and we&rsquo;re proud of our ongoing efforts to foster global diversity, equity, &amp; inclusion in the workplace. Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law. We are an AA/EEO/Veterans/Disabled employer. If you are based in the United States and would like more information about your EEO rights under the law, please click here .
Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.</div>

Senior Machine Learning Engineer

Uber

<div>About the Team
 
 
The Maps Search team powers location search and discovery across Uber's ecosystem - enabling pickup and dropoff location search &amp; recommendations for Rides, Eats and other lines of business. This is a full-stack, high-impact team building cutting-edge ML models for retrieval and ranking, planet-scale distributed systems operating at ultra-low latency, and seamless mobile experiences that define how users discover places and interact with the map. Search is a mission-critical surface that directly impacts conversion, reliability, and consumer growth.
 
 
About the Role
 
 
As the Senior Engineering Manager, you will lead the entire Maps Search organization (~20 engineers and managers across San Francisco and Toronto at present). This exciting role sits at the intersection of ML/AI innovation, distributed systems, and user experience. Your leadership will directly influence business growth and reliability of one of Uber's most critical entry points.
 
 
What You'll Do
<ul><li>Partner deeply with Product, Applied Science, and other teams at Uber to define strategy &amp; drive execution on company-critical initiatives.
</li><li>Set the multi-year technical vision and strategy for Maps search and recommendations across Uber
</li><li>Raise the bar on ML innovation and platform reliability at global scale
</li><li>Build and mentor a strong bench of engineering leaders (EMs &amp; Tech leads).
</li></ul>Basic Qualifications
<ul><li>10+ years of software engineering experience, including significant experience building or leading ML/AI or optimization-driven systems
</li><li>5+ years of engineering management experience, including managing managers or tech leads
</li><li>Experience leading multi-disciplinary teams (backend services + ML/AI required; mobile experience a plus)
</li><li>Track record of leading mission-critical, consumer-facing products or platforms in close partnership with cross-functional stakeholders
</li><li>Demonstrate experience in developing and retaining high-performing engineering teams.
</li></ul>Preferred Qualifications
<ul><li>Experience leading large-scale search, ranking, retrieval, or recommendation systems in production
</li><li>Experience taking search or recommendation products from early prototypes to scaled, consumer-facing platforms
</li><li>Demonstrated ability to influence product and business strategy beyond immediate organizational scope
</li><li>Experience leading multi-geography engineering organizations
</li>Strong track record of hiring, mentoring, and developing senior engineering leaders (EMs, Staff+ engineers) 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Sr Engineering Manager, Maps Search

OpenAI

About the Team
 
OpenAI’s mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world’s most exceptional talent under one roof to push the boundaries of what’s possible.
 
Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization, working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI’s talent.
 
About the Role
 
You will own and execute long-term talent strategies to identify, engage, and recruit many of the world’s leading and emerging AI researchers, research engineers, and technical scientists working at the frontier of machine learning. This is not a traditional execution-focused recruiting role.
 
You will operate as a strategic partner to OpenAI’s research staff, helping define hiring priorities, shape search strategy, influence candidate evaluation, and guide hiring decisions that directly impact the direction and quality of our frontier-model research and fulfillment of our mission.
 
In this role, you will: 
Partner directly with research and technical staff to define hiring priorities, shape search strategies, and anticipate future talent needs as technical roadmaps evolve.
 
Proactively identify and cultivate exceptional AI/ML research talent across industry, academia, and emerging labs, often before formal hiring needs exist.
 
Use market insights and candidate signals to influence hiring decisions, leveling, and compensation strategy for highly specialized research roles.
 
Serve as a trusted advisor throughout candidate evaluation and closing — helping leaders calibrate for research excellence, long-term potential, and organizational fit.
 
Collaborate closely with your sourcing partner to execute complex, high-impact searches in ambiguous or rapidly evolving technical domains.
 
You might thrive in this role if you: 
Significant experience recruiting within highly technical or specialized environments.
 
Deep interest in AI research and a desire to engage directly with global research communities.
 
Experience recruiting within highly technical or specialized environments such as ML/AI, distributed systems, infrastructure, scientific computing, or quantitative research.
 
Track record of leading complex, ambiguous technical searches from early talent mapping through close.
 
Experience navigating high-stakes negotiations with senior technical or research candidates.
 
Comfort operating in fast-moving environments where hiring priorities and role definitions may evolve over time.
 
Workplace & Location
 
This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.
 
Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
 
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
 
$216K – $240K + Offers Equity

Recruiter, AI/ML Research

Okta

<div>Get to know Okta 
 
Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. 
 
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences. 
 
Join our team! We&rsquo;re building a world where Identity belongs to you.
Okta&rsquo;s Business Technology organization builds secure and intelligent internal platforms that power our global workforce. Our AI &amp; Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.

We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals &mdash; all with scale, governance, and user experience in mind.
<h3 class="jobSectionHeader">The Opportunity</h3>

As a Senior Software Engineer, Applied AI, you&rsquo;ll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.

You&rsquo;ll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.
<h3 class="jobSectionHeader">What You&rsquo;ll Do</h3>
<ul><li>
Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.
</li>
<li>Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.
</li>
<li>Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.
</li>
<li>Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue &mdash; with a focus on usability, performance, and trust in AI outputs.
</li>
<li>Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily &quot;drop in&quot; GenAI capabilities into their own applications.
</li>
<li>Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).
</li>
<li>Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).
</li>
<li>Ensure security, privacy, observability, and test coverage across the full stack.
</li>
<li>Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.
</li>
<li>Partner with platform and infrastructure teams to ensure services scale reliably across the org.
</li>
</ul><h3 class="jobSectionHeader">What You&rsquo;ll Bring</h3>
<ul><li>
5&ndash;8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.
</li>
<li>Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.
</li>
<li>2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.
</li>
<li>Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.
</li>
<li>Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
</li>
<li>Familiarity with secure coding, authentication/authorization, and internal data governance best practices.
</li>
<li>Ability to collaborate across engineering, design, and product teams &mdash; with a strong sense of user empathy and technical ownership.
</li>
<li>Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.
</li>
</ul><h3 class="jobSectionHeader">Why Join Okta</h3>
<ul><li>
Make AI Real: Design and build AI-powered apps used daily by Okta employees.
</li>
<li>Full-Stack Challenge: Tackle end-to-end problems &mdash; from LLM orchestration to intuitive UIs.
</li>
<li>Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.
</li>
</ul>#LI-MK1

#LI-hybrid

P24739_3355024
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $165,000&mdash;$247,000 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. 
 
The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$147,000&mdash;$221,000 USD
What you can look forward to as a Full-Time Okta employee!
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
Okta cultivates a dynamic work environment, providing the best tools, technology and benefits to empower our employees to work productively in a setting that best and uniquely suits their needs. Each organization is unique in the degree of flexibility and mobility in which they work so that all employees are enabled to be their most creative and successful versions of themselves, regardless of where they live. Find your place at Okta today! https://www.okta.com/company/careers/. 
 
Some roles may require travel to one of our office locations for in-person onboarding.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
 
 
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation. 
 
Notice for New York City Applicants &amp; Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please 
 
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</div>
 <div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</div></div></div></div><div></div>

Senior Software Engineer, Applied AI

Vercel

<div></div><div><div><div><div><ul><li>Data</li><li>
Hybrid (San Francisco)</li><li>
Full Time</li></ul></div></div><div></div><div><div><h2 class="jobSectionHeader">
About Vercel:</h2>
Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.</div><div></div><div><h2 class="jobSectionHeader">
About the Team</h2>
The Data Platform &amp; Engineering team builds and operates the infrastructure, systems, and data foundations that power decision-making and intelligent workflows across Vercel.
We design and maintain the data platform that enables analytics, experimentation, internal tooling, and emerging AI-powered agents. Our work provides the context and infrastructure behind company-wide interfaces, automation, and data-driven workflows.</div><div></div><div><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re looking for a Summer Intern to join the Data Platform &amp; Engineering team. This role is designed to flex across Data Platform Engineering and Data Engineering, depending on your strengths and interests.
You&rsquo;ll work on foundational systems that power company-wide agents, internal tools, analytics environments, and operational workflows. This is an opportunity to contribute to high-impact infrastructure and data products used across the organization.
You will:<ul><li>
Build and improve data pipelines using SQL and Python</li><li>
Contribute to the development and reliability of our data platform infrastructure</li><li>
Help design and model datasets that power analytics, internal tools, and AI-driven workflows</li><li>
Improve data quality, observability, and governance across systems</li><li>
Support the infrastructure and contextual data layers that enable company-wide agents and interfaces</li><li>
Partner with engineering, product, finance, and operations stakeholders to translate business needs into scalable data solutions</li></ul>
Depending on your focus, projects may lean more toward:<ul><li>
Data Engineering: modeling, transformation, orchestration, analytics enablement</li><li>
Data Platform Engineering: infrastructure, tooling, performance optimization, developer experience for data systems</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
Currently pursuing a BS or MS in Computer Science, Data Science, or a related technical field</li><li>
Strong proficiency in SQL and Python</li><li>
Solid understanding of data modeling principles and relational databases</li><li>
Familiarity with data pipelines, ETL/ELT concepts, or workflow orchestration</li><li>
Comfort working in a collaborative, fast-moving engineering environment</li><li>
Strong problem-solving skills and attention to detail</li><li>
Based in SF/Bay Area &amp; open to commuting to SFHQ 2-3 days a week</li></ul>
Nice to Have:<ul><li>
Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, etc.)</li><li>
Exposure to cloud infrastructure (AWS, GCP, or similar)</li><li>
Experience working with large datasets or analytics systems</li><li>
Interest in AI/ML systems or agent-based workflows</li></ul></div><div></div><div><h2 class="jobSectionHeader">
What You&rsquo;ll Gain</h2><ul><li>
Real-world experience building production-grade data infrastructure</li><li>
Exposure to modern data platform architecture at scale</li><li>
The opportunity to shape systems that power decision-making and AI-driven workflows across Vercel</li><li>
Mentorship from experienced data and platform engineers</li><li>
A meaningful, scoped project with measurable impact</li></ul></div></div></div></div>

Data Platform & Engineering Intern

Mechanize

Mechanize builds RL environments that teach AI models to perform real-world work. Our goal is to enable the full automation of the economy. We sell to the leading AI labs. Learn more at mechanize.work.Software engineers at Mechanize create RL environments to sell to the leading AI labs. You might be a good fit if you are about to graduate university, or have 0-2 years of experience as a software engineer and can code in python.No prior machine learning or AI experience is required.Read about how our interview process works here: https://www.mechanize.work/how-our-interview-process-works/Job Type: Full-timePay: $300,000.00 per yearWork Location: In person

Junior Software Engineer

Explore 89+ Sr ai ml engineer 4 in San Francisco this February. Find roles across top companies and apply now to boost your career.