advisor - scientific data engineer Jobs in San Francisco

advisor - scientific data engineer

ai data engineer (agent platform) Jobs in San Francisco

ai data engineer (agent platform)

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

ai engineer, ai & data platforms (aidp)

ai engineering lead Jobs in San Francisco

ai engineering lead

ai research engineer Jobs in San Francisco

ai research engineer

ai engineer ai data platforms aidp

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)

Handshake

<div><h1 class="jobSectionHeader">About Handshake</h1>
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:<ul><li>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</li><li>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</li><li>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</li><li>
Build a massive, fast-growing business with billions in revenue</li></ul><h2 class="jobSectionHeader">
About the Role</h2>
Handshake is seeking a Senior Security Engineer to own the architecture, design, and implementation of our enterprise identity automation and governance ecosystem. You&rsquo;ll define the long-term IAM automation strategy, build resilient and scalable lifecycle workflows, and enable secure-by-default identity operations across SaaS, cloud, and internal platforms. 
You&rsquo;ll partner closely with Security, IT Engineering, People Operations, and Product/Platform Engineering to deliver highly automated, auditable, and reliable identity solutions.<h2 class="jobSectionHeader">
In this role, you will:</h2><ul><li>
Architect, build, and own automated onboarding, offboarding, and access-change workflows across Okta, Workday, SCIM, and event-driven systems.</li><li>
Engineer integration layers between identity platforms and internal applications using Python, REST APIs, Webhooks, and Terraform.</li><li>
Implement error-handling, reconciliation logic, telemetry, and monitoring to ensure reliability and determinism in identity lifecycle events.</li><li>
Modernize existing provisioning logic and replace manual processes with scalable automation frameworks.</li><li>
Develop tooling and pipelines enabling version-controlled, testable, observable IAM automation.</li><li>
Act as a technical owner for Handshake&rsquo;s IAM ecosystem, including Okta, Google Workspace, GCP, AWS IAM, and internal access systems.</li><li>
Engineer and optimize authentication &amp; authorization protocols (OIDC, OAuth2, SAML, JWT), fine-grained access policies, and scalable RBAC/ABAC models.</li><li>
Build custom automation using Okta Workflows or API-driven orchestration.</li><li>
Design SOC2-compliant access controls, approvals, attestations, and auditability mechanisms.</li><li>
Build automated access certification systems with full data lineage.</li><li>
Conduct identity-related incident forensics and implement preventative automation.</li><li>
Provide cross-functional leadership, setting standards, best practices, and reference architectures for identity automation.</li><li>
Serve as service owner for IAM automation platforms with accountability for uptime, consistency, and continuous improvement.</li></ul><h2 class="jobSectionHeader">
Desired Capabilities</h2><ul><li>
4&ndash;7+ years of hands-on IAM engineering, identity automation, or identity governance experience.</li><li>
Strong scripting/automation skills in Python, Node.js, and REST-based integrations.</li><li>
Experience with IAM platforms such as Okta, Google Workspace/GCP, Azure AD, or similar.</li><li>
Deep understanding of identity protocols, token flows, SCIM, and distributed lifecycle orchestration.</li><li>
Experience with Terraform or other infrastructure-as-code frameworks.</li><li>
Ability to diagnose complex identity issues across SaaS, cloud, and distributed systems.</li><li>
Strong understanding of DevOps practices, observability, and secure engineering principles.</li><li>
Demonstrated ownership mindset across architecture, implementation, monitoring, and iterative improvement.</li></ul><h2 class="jobSectionHeader">
Extra Credit</h2><ul><li>
Advanced experience with GCP IAM, Google Workspace IAM, AWS IAM, cross-account access patterns, and policy automation.</li><li>
Experience with Okta Workflows, SailPoint/IGA, or Privileged Access Management (PAM) solutions.</li><li>
Experience designing scalable authorization models for high-growth or distributed organizations.</li><li>
Certifications such as Okta Architect, Azure Identity Engineer, CISSP.</li><li>
Prior experience in SaaS, high-growth, or distributed engineering environments.</li></ul><h2 class="jobSectionHeader">
Perks</h2>
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, wellness stipend 
Growth: 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.
Compensation Range: $176K - $220K</div>

Senior Security Engineer

Block

<div><div>Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams &mdash; People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more &mdash; provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.
<h3 class="jobSectionHeader">
The Role</h3>

As a Legal Systems Engineer, you will lead the design and evolution of the systems that power Legal, combining software engineering, system architecture, and legal domain expertise. This role is responsible for shaping how Legal leverages automation, data, and AI to operate more effectively at scale. You will work across a complex technology landscape &mdash; including ELM, eDiscovery, CLM, and AI platforms &mdash; to define and implement solutions that connect systems, improve workflows, and enable more intelligent ways of working. A core focus of this role is to design, build, and deploy AI-driven solutions, while also enabling all of the Legal to develop, adopt, and scale their own AI-powered workflows. This position requires a high degree of ownership, technical expertise, and adaptability. The ideal candidate must proactively identify strategic opportunities, and develop solutions that align immediate needs with the long-term architectural vision.
<h3 class="jobSectionHeader">
You Will</h3>
<ul><li>Define and evolve the architecture of legal systems, ensuring they are scalable, cohesive, and adaptable over time</li>
<li>Identify and drive high-impact opportunities to improve legal workflows through automation, integration, and AI</li>
<li>Apply a strategic and creative approach to solving complex legal and operational challenges</li>
<li>Lead the design and implementation of solutions leveraging AI (Claude, Harvey, internal LLM platforms)</li>
<li>Translate legal team experimentation into scalable, reliable, and production-ready solutions, establishing patterns, best practices, and guardrails that allow Legal to safely and effectively leverage AI.</li>
<li>Build and oversee integrations across DocuSign CLM, Brightflag, Tonkean, and AODocs and other Legal tools</li>
<li>Develop APIs, automations, and data pipelines to connect systems and reduce manual effort</li>
<li>Leverage Databricks/Snowflake and internal data platforms for analytics and AI workflows</li>
<li>Provide technical leadership for eDiscovery and Information Governance workflows</li>
<li>Operate as a hands-on technical lead, building and guiding long-term evolution</li>
<li>Influence how Legal approaches technology with balance of innovation and risk</li>
<li>Adapt to evolving priorities while maintaining long-term system design</li>
</ul><h3 class="jobSectionHeader">You Have</h3>
<ul><li>7&ndash;10+ years in software engineering, systems engineering, or architecture roles</li>
<li>Strong programming skills (Python, JavaScript, or similar)</li>
<li>Experience integrating SaaS platforms and APIs</li>
<li>Hands-on AI tools experience (Claude, Codex, Copilot, etc.)</li>
<li>Ability to operate autonomously in ambiguous environments</li>
<li>Deep ELM/eBilling experience (Brightflag preferred)</li>
<li>Strong eDiscovery experience (EDRM lifecycle)</li>
<li>Understanding of legal workflows (contracts, billing, discovery)</li>
<li>Experience with data platforms (e.g., Databricks, Snowflake)</li></ul> 
<h3 class="jobSectionHeader">
</h3>We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.<div><div><div> 

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</div><div> 
Zone A:</div><div>
$171,800&mdash;$257,600 USD</div></div><div><div>
Zone B:
</div><div>$159,800&mdash;$239,600 USD</div></div><div><div>
Zone C:</div><div>
$151,200&mdash;$226,800 USD</div></div><div><div>
Zone D:</div><div>
$142,600&mdash;$213,800 USD</div></div></div><div>
Application Guidelines

Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.

Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us here with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</div></div></div>

Legal Systems Engineer

Wonderschool

<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

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We&rsquo;re hiring an
 
 Associate Software Engineer
 
 to help build our Reinforcement Learning Environments (RLE) platform&mdash;the systems where frontier AI models learn to complete real-world work.
 
 
 This is a hands-on, growth-oriented role where you&rsquo;ll contribute to building core systems, learn quickly from senior engineers, and gain exposure to cutting-edge AI infrastructure.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Contribute to building RLE environments and supporting infrastructure
 </li>
 <li>
 Implement features across backend systems and frontend interfaces
 </li>
 <li>
 Work with senior engineers to improve system reliability and performance
 </li>
 <li>
 Help build modular workflow domains (e.g., engineering, finance, legal)
 </li>
 <li>
 Support data pipelines that power model training and evaluation
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 0&ndash;2 years of experience (internships or full-time) in software engineering
 </li>
 <li>
 Familiarity with backend development and APIs
 </li>
 <li>
 Working knowledge of ReactJS and TypeScript
 </li>
 <li>
 Understanding of databases (e.g., PostgreSQL) and basic system design
 </li>
 <li>
 Eagerness to learn and operate in fast-paced environments
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to cloud platforms (AWS, GCP)
 </li>
 <li>
 Experience with data pipelines or ML-adjacent systems
 </li>
 <li>
 Interest in AI/ML or simulation systems
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 <ul>
 <li>
 Ships reliable features that improve RLE functionality
 </li>
 <li>
 Grows into owning small components independently
 </li>
 <li>
 Contributes to faster iteration and better developer velocity
 
 
 </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 coachin
 
 
 💝 Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
 
 
 📚 Growth: $2,000 learning stipend, ongoing development
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $135K - $150K
 
 
</div>

Associate Software Engineer, RLE

<div>About Handshake
Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
Why join Handshake now:<ul><li>
Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel</li><li>
Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions</li><li>
Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others</li><li>
Build a massive, fast-growing business with billions in revenue</li></ul><h2 class="jobSectionHeader">
About the Role</h2>
We&rsquo;re hiring a Software Engineer to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
Location: San Francisco, CA (in-office, 5 days/week)<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build and scale core components of RLE environments and infrastructure</li><li>
Design and implement backend systems and data pipelines</li><li>
Translate ambiguous product and research needs into production systems</li><li>
Develop modular, reusable workflow domains</li><li>
Improve reliability, observability, and system performance</li></ul><h2 class="jobSectionHeader">
What We&rsquo;re Looking For</h2><ul><li>
4-6 years of experience in backend, distributed systems, or ML-adjacent infrastructure</li><li>
Strong proficiency in ReactJS and TypeScript</li><li>
Solid experience with relational databases (PostgreSQL) and data modeling</li><li>
Experience with cloud infrastructure (AWS/GCP) and CI/CD</li><li>
Ability to independently drive projects from design to production</li></ul><h2 class="jobSectionHeader">
Nice to Have</h2><ul><li>
Experience with simulation systems or evaluation platforms</li><li>
Exposure to ML systems or working with research teams</li><li>
Experience in fast-moving, operations-heavy environments</li></ul><h2 class="jobSectionHeader">
What Success Looks Like</h2><ul><li>
Owns and delivers key RLE components end-to-end</li><li>
Improves system scalability and developer velocity</li><li>
Enables faster launch of new domains with high-quality data</li></ul><h2 class="jobSectionHeader">
Perks</h2>
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
Office: Commuting support, free lunch, and gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings &amp; referral bonuses
Compensation Range: $189K - $210K</div>

Software Engineer II, RLE

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. 20 million knowledge workers, 1,600 educational institutions, 1 million employers (including 100% of the Fortune 50), and every foundational AI lab trust Handshake to power career discovery, hiring, and upskilling, from freelance AI training gigs to first internships to full-time careers and beyond. This unique value is leading to unparalleled growth; in 2025, we tripled our ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
 </li>
 <li>
 Work hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
 </li>
 <li>
 Join a team with leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, among others
 </li>
 <li>
 Build a massive, fast-growing business with billions in revenue
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We&rsquo;re hiring a
 
 Software Engineer
 
 to build our Reinforcement Learning Environments (RLE) platform&mdash;the interactive systems where frontier AI models learn to complete real-world work.
 
 
 This role owns meaningful components end-to-end and plays a key part in scaling systems that power model training and evaluation.
 
 
 
 Location:
 
 San Francisco, CA (in-office, 5 days/week)
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build and scale core components of RLE environments and infrastructure
 </li>
 <li>
 Design and implement backend systems and data pipelines
 </li>
 <li>
 Translate ambiguous product and research needs into production systems
 </li>
 <li>
 Develop modular, reusable workflow domains
 </li>
 <li>
 Improve reliability, observability, and system performance
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 2&ndash;4 years of experience in backend, distributed systems, or ML-adjacent infrastructure
 </li>
 <li>
 Strong proficiency in ReactJS and TypeScript
 </li>
 <li>
 Solid experience with relational databases (PostgreSQL) and data modeling
 </li>
 <li>
 Experience with cloud infrastructure (AWS/GCP) and CI/CD
 </li>
 <li>
 Ability to independently drive projects from design to production
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with simulation systems or evaluation platforms
 </li>
 <li>
 Exposure to ML systems or working with research teams
 </li>
 <li>
 Experience in fast-moving, operations-heavy environments
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 <ul>
 <li>
 Owns and delivers key RLE components end-to-end
 </li>
 <li>
 Improves system scalability and developer velocity
 </li>
 <li>
 Enables faster launch of new domains with high-quality data
 
 
 </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
 
 
 💻 Office: Commuting support, free lunch, and gym in our SF office
 
 
 🏝 Time Off: Flexible PTO, 15 holidays + 2 flex days
 
 
 🤝 Connection: Team outings &amp; referral bonuses
 
 
 Compensation Range: $157.5K - $175K
 
 
</div>

Software Engineer I, RLE

Explore 410+ Ai engineer ai data platforms aidp in San Francisco this May. Find roles across top companies and apply now to boost your career.