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ai engineer, ai & data platforms (aidp)

ai engineer ai data platforms aidp

Capgemini

<div><div><div><div><p>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p>
<div><div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
</div><div><p>San Francisco CA</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Your Role</b></h2>
</div><div><p>The GenAI Engineer / Data Scientist is responsible for designing, developing, deploying, and maintaining Generative AI (GenAI) and Predictive AI solutions that deliver business value. The role requires expertise in AI/ML, cloud platforms, APIs, data engineering, MLOps, and AI agent workflows, with a strong focus on production-grade AI implementation.</p><br>
<p><br>
<b>Key Responsibilities</b><br>
</p><p><br>
Develop and deploy Generative AI solutions (GPT, Claude, Stable Diffusion) and Predictive AI models (regression, classification, clustering).
<br>
Design and integrate AI applications using REST APIs, authentication mechanisms, JSON services, and cloud-based architectures.
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Build and support AI agents, autonomous systems, and agentic workflows.
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Deploy, monitor, and optimize AI models in production using MLOps practices.
<br>
Design and maintain data pipelines, data lakes, and data warehouses.
<br>
Monitor model performance, troubleshoot issues, and manage data/model drift.
<br>
Collaborate with business and technical teams to align AI solutions with organizational objectives.
<br>
Create reusable assets, demos, and proof-of-concepts to support innovation and business development.<br>
<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Required Skills and Experience
</b></h2></div><div><p>A hands-on AI professional with strong expertise in Generative AI, Machine Learning, Python, Cloud Technologies, APIs, MLOps, Data Engineering, and AI Agents, capable of building and scaling enterprise-grade AI solutions from development to production.
<br>
Bachelor's degree or higher in AI, Machine Learning, Computer Science, or related field.
<br>
3-5 years of experience in AI, Machine Learning, Data Science, or Application Development.
<br>
Experience with production AI deployments, MLOps, model monitoring, and cloud platforms.</p>
<p>GPT, Claude LLM, Stable Diffusion
<br>
LangChain
<br>
TensorFlow
<br>
PyTorch
<br>
Scikit-learn
<br>
RAG (Retrieval-Augmented Generation)
<br>
AI Agents &amp; Agentic Workflows
<br>
API Development
<br>
REST APIs
<br>
JSON
<br>
HTTP Requests
<br>
Authentication &amp; Tokens
<br>
Error Handling &amp; Debugging<br>
<br>
<br>
<br>
<br>
</p></div></div></div><p>The base compensation range for this role in the posted location is $90,000- $160,000</p>
<p>Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p>
<p>The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p>
<p>These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p>
<p>It is not typical for candidates to be hired at or near the top of the posted compensation range.</p>
<p>In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p>
<p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:</p>
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul><p><b>Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p>
<p><b>Disclaimers</b></p>
<p>Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p>
<p>This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p>
<p>Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p>
<p>Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p>
<p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div></div></div>

Data Scientist/ AI Engineer

Artificial Analysis

<p></p><div><p><b>Job Description &ndash; Member of Technical Staff</b></p><p><b>
Location: </b>San Francisco (preferred), Sydney, Melbourne, Brisbane</p><p><b>
About Artificial Analysis</b></p><p>
Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don&rsquo;t just measure the cutting edge of AI, they are actively shaping the frontier.</p><p>
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.</p><p>
We are a team of 40+, on track to double by end of year, backed by Nat Friedman (GitHub, Meta), Daniel Gross (SSI, Meta), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D&rsquo;Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.</p><p><b>
The Opportunity</b></p><p>
Our benchmarks and analysis are what the industry turns to when they need to understand AI capabilities, from AI labs and enterprises to media, investors, and policymakers. This role puts you at the forefront of the AI Frontier &ndash; you won&rsquo;t just observe the cutting edge of AI, your work will define what cutting edge means.</p><p>
We&rsquo;re hiring Members of Technical Staff to design the evaluations that set the standard for how AI is measured, produce analysis that shapes how companies and the broader industry understand AI, and work directly with the leading AI labs and enterprises who rely on our insights. You&rsquo;ll develop new benchmarking methodologies, manage relationships with some of the most important AI labs and enterprise customers in the world, and help drive the product direction of our platform. The bar for success is becoming a world expert in modern AI technologies.</p><p>
This is a unique combination of product, research, technical, and client-facing work, suited to highly driven technical generalists who thrive on breadth and ownership. Many of our strongest team members come from top-tier strategy consulting backgrounds, though we hire from a range of disciplines.</p><p>
You&rsquo;ll work directly with our founders and across the full team. The people who join now will have an outsized role in shaping both our products and the company itself. The coming wave of AI scaling is going to change the world in ways we don&rsquo;t yet understand - and we&rsquo;re offering a front row seat.</p><p><b>
What You&rsquo;ll Do</b></p><ul><li><b>AI Benchmarking Product Development:</b> Structure, design and execute projects to evaluate AI systems and technologies, including developing new AI evaluation methodologies and datasets that advance our benchmarking capabilities</li><li><b>Strategic Analysis of AI:</b> Drive developing reports and data visualizations to communicate complex AI concepts to enterprises looking to shape their AI strategy</li><li><b>Partner with Leading AI Companies:</b> Collaborate with leading AI companies to support them in benchmarking their technologies, from agentic AI applications to models to hardware. This also requires identifying opportunities to enhance our leading AI benchmarking platform and working with our developers to make it happen</li><li><b>Become AI-Native:</b> Embrace an AI-native workflow, using cutting-edge AI tools to generate leverage in a fast-changing industry and maintain our competitive edge in AI benchmarking</li><li><b>Company Strategy:</b> We are a startup and are looking for the future leaders of Artificial Analysis. Team members will be expected to contribute to company strategy and should expect to drive large initiatives that will support us in being the leading AI benchmarking company</li></ul><p><b>
What We&rsquo;re Looking For</b></p><p>
You have an intense interest in AI, a genuine desire to become a world expert in the field, and strong analytical and coding skills to back it up.</p><p>
We hire MTS from three backgrounds. You should clearly fit one of these profiles:</p><p><b>
Strategy Consulting</b></p><p>
Backgrounds include: Management Consultant, Associate, Engagement Manager, Data Scientist, or similar roles at firms like McKinsey, BCG, Bain, or equivalent. Strong preference will be given to candidates with experience within a Data Analytics division such as QuantumBlack, AI by McKinsey, BCG X or equivalent.</p><p>
You know how to structure ambiguous problems, build analytical frameworks, and communicate findings to senior stakeholders. You&rsquo;re now looking to apply those skills to something deeply technical. The key differentiator: you have a genuine technical interest in AI and ability to code. You follow model releases, you have opinions on where the technology is heading, and you want to be closer to the subject matter than consulting allows.</p><p><b>
AI and Machine Learning</b></p><p>
Backgrounds include: ML Engineer, ML Researcher, AI Engineer, Forward Deployed Engineer, Technical PM, Solutions Engineer, Technical Pre-Sales, or similar roles at AI companies or AI-focused teams.</p><p>
You have hands-on experience with modern AI systems and understand how models work at a technical level. You&rsquo;re looking for a role with more breadth and industry exposure than a pure research, engineering, or PM position, where you can combine technical depth with client-facing work and strategic analysis.</p><p><b>
Technical Product Management</b></p><p>
Backgrounds include: Founding Engineer, Product Manager, Technical Co-founder, Head of Product, or generalist roles at early-stage AI companies.</p><p>
You&rsquo;ve built and shipped AI products in a fast-moving environment where you had to operate across research, engineering, product, and commercial work simultaneously. You understand both how AI systems work technically and how they get brought to market. You&rsquo;re looking for a role where that breadth is the job, not a side effect of being early at a small company.</p><p><b>
Across all three profiles, we require:</b></p><ul><li>3+ years of relevant professional experience</li><li>Strong analytical and critical thinking skills</li><li>Proficiency in Python and data analysis</li><li>Genuine, demonstrable interest and knowledge of Frontier AI. We want people who have informed opinions about where AI is heading, not just people who use AI tools</li></ul><p><b>
Why Artificial Analysis?</b></p><ul><li><b>Shape how AI gets built: </b>The leading AI labs track our benchmarks and use them to guide their development priorities. Your work will directly influence the direction of AI.</li><li><b>Become a world expert in AI</b>: You will evaluate every major model, across every major capability, as they are released. Very few roles offer this breadth of exposure to frontier AI.</li><li><b>Work with the most important players in AI</b>: You&rsquo;ll manage relationships with teams at the leading AI labs and major enterprises as a trusted, independent voice.</li><li><b>Join at a defining moment</b>: We&rsquo;re 40+ people, on track to double by end of year, backed by some of the most connected investors in AI. The people who join now will shape the product, the team, and the strategy as we scale.</li><li><b>Competitive compensation</b> including equity</li></ul><p>
1</p></div>

Member of Technical Staff

OpenAI

<div>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 The Support Automation team at OpenAI scales the organization by applying cutting-edge AI models to real-world challenges, automating and enhancing work across the organization. From customer operations to engineering, we develop an ecosystem of automation products that empower our colleagues and drive impact. We're passionate about crafting products that serve those around us, blending rapid prototyping with a focus on long-term quality and reliability. By creating reusable solutions, we create patterns that can be applied across diverse domains within OpenAI.
 <br/>
 <br/>
 TLDR: this team leverages OpenAI technology to improve OpenAI, and you&rsquo;ll have the opportunity to leverage the full extent of our tech (both public and pre-released) to accomplish this mission.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We&rsquo;re looking for a
 <strong>
  Backend Software Engineer
 </strong>
 with experience working in ML/LLM-heavy domains to help to design and build an evals infrastructure that measures the quality of OpenAI&rsquo;s support automation. This is a deeply technical and highly cross-functional role where you&rsquo;ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. The role will especially focus on working closely with Data Science and Research partners to design and build evals at scale.
 <br/>
 <br/>
 <strong>
  In This Role, You Will
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design eval pipelines that are reliable, reproducible, and extendable
  </li>
  <li>
   Build the infrastructure for continuous eval monitoring frameworks (regression/drift monitoring, building robust golden datasets) along with feedback loops that ultimately strengthen support automation
  </li>
  <li>
   Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systems
  </li>
  <li>
   Integrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.
  </li>
  <li>
   Collaborate closely with data, research, and engineering teams to integrate OpenAI models into high-leverage workflows
  </li>
  <li>
   Own the full development lifecycle of new backend systems and internal platform capabilities
  </li>
  <li>
   Build with scale and maintainability in mind, while rapidly iterating on new ideas
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Great Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of backend engineering experience at product-driven companies (excluding internships)
  </li>
  <li>
   Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and Postgres
  </li>
  <li>
   Experience designing and scaling distributed systems, APIs, or data processing pipelines
  </li>
  <li>
   Have experience building AI agents or applications, including designing evals and improving performance through prompting or scaffolding
  </li>
  <li>
   Are familiar with evaluation methods for LLMs and have worked with patterns like multi-agent workflows, tool use, or long context.
  </li>
  <li>
   Experience creating production evals and/or measuring performance of ML/LLM models at scale
  </li>
  <li>
   A pragmatic mindset. You&rsquo;re comfortable shipping iteratively while building toward a long-term vision
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About OpenAI
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 <br/>
 <br/>
 OpenAI Global Applicant Privacy Policy
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Compensation Range: $230K - $385K
 <br/>
 <br/>
</div>


Backend Software Engineer (Evals)

Stitch Fix

<div><div><h3 class="jobSectionHeader"><b>About Stitch Fix, Inc.
</b></h3><p>Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we're equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what's possible for our clients, while we help you reach your full potential.</p></div><br>
<p></p>
<h1 class="jobSectionHeader"><b>
About the Role</b></h1>
<p>
The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.</p>
<p>
As Director, Product Algorithms, you will lead the strategy, execution, and people behind our Growth, Styling, and Fix &amp; Freestyle Algorithms portfolios. You'll define how AI, machine learning, experimentation, and analytics shape the future of personalized shopping while building the operating discipline, technical excellence, and cross-functional alignment needed to deliver scalable business results.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li><b>Lead</b> the Product Algorithms portfolio across Growth, Styling, and Fix &amp; Freestyle, setting strategy and driving measurable outcomes across acquisition, engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.</li>
<li><b>Define</b> the vision and roadmap for applying data science, machine learning, AI, experimentation, and product analytics to improve client experiences, stylist effectiveness, and business performance.</li>
<li><b>Drive</b> innovation by identifying, evaluating, and scaling modern AI, machine learning, personalization, and experimentation techniques that create meaningful impact while balancing technical feasibility, execution capacity, and business priorities.</li>
<li><b>Strengthen</b> organizational effectiveness by improving planning, prioritization, experimentation practices, product analytics capabilities, operational readiness, incident management, and cross-functional decision making across the portfolio.</li>
<li><b>Build</b> and develop a high-performing organization of managers and senior individual contributors, fostering technical excellence, strong product leadership, accountability, and collaborative partnerships while representing Product Algorithms with executive stakeholders.</li>
</ul><h2 class="jobSectionHeader"><b>How AI and Tools Show Up in Your Day-to-Day Work</b></h2>
<ul><li>Use AI-powered tools (such as ChatGPT, GitHub Copilot, and other emerging technologies) to improve decision making, productivity, communication, and operational efficiency.</li>
<li>Leverage experimentation platforms, analytics tools, machine learning infrastructure, and product development systems to guide roadmap decisions and measure business impact.</li>
<li>Continuously evaluate and adopt new AI capabilities, technologies, and ways of working that improve team effectiveness and accelerate innovation.</li>
</ul><h1 class="jobSectionHeader"><b>About You</b></h1>
<p>
You are a strategic technical leader who combines deep expertise in machine learning and AI with exceptional product thinking, organizational leadership, and business judgment. You thrive in highly collaborative environments, enjoy solving ambiguous problems, and know how to translate emerging technologies into measurable customer and business outcomes.</p>
<h2 class="jobSectionHeader"><b>
Requirements</b></h2>
<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred.</li>
<li>10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.</li>
<li>Demonstrated success defining strategy and delivering production machine learning, AI, personalization, or experimentation capabilities that drive measurable product and business outcomes.</li>
<li>Strong technical fluency across modern machine learning, generative AI/LLMs, experimentation methodologies, product analytics, and production algorithmic systems.</li>
<li>Experience building cross-functional partnerships with Product, Engineering, Design, Analytics, Data Platform, Marketing, Merchandising, Finance, and executive stakeholders.</li>
<li>Exceptional strategic thinking, communication, prioritization, problem-solving, and organizational leadership skills, with the ability to influence across technical and non-technical audiences.</li>
<li>Experience using AI tools (such as ChatGPT, GitHub Copilot, or similar technologies) to improve productivity, decision making, collaboration, and the quality of work.</li>
<li>This position requires the ability to sit for extended periods of time, use a computer and standard office equipment, and communicate effectively in both written and verbal formats.</li>
</ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul><li>Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field.</li>
<li>Experience leading AI- or ML-driven consumer products within e-commerce, marketplaces, retail, recommendations, personalization, or digital consumer experiences.</li>
<li>Experience building or evolving experimentation platforms, product analytics capabilities, or AI governance and operational excellence practices.</li>
<li>Familiarity with large-scale recommendation systems, ranking models, generative AI applications, causal inference, optimization, or reinforcement learning.</li>
<li>Experience leading organizations through significant technical transformation, organizational scaling, or AI adoption initiatives.</li>
</ul><div><p><i>
This link</i><i> leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.</i></p>
<p>
Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy</p>
<p><b>
Recruiting Fraud Alert:</b></p>
<p>
To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.</p>
<p>
Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.</p></div></div><p></p>

Director, Data Science & Algorithms - CX Product Experiences

banking.TOP

<div>
 Who We Are
 <br/>
 <br/>
 Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
 <br/>
 <br/>
 Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn&rsquo;t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business&rsquo;s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life&rsquo;s work.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 <br/>
 <br/>
 We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable.
 <br/>
 <br/>
 <strong>
  Role
  <br/>
  <br/>
 </strong>
 This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on:
 <br/>
 <br/>
 <ul>
  <li>
   AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability)
  </li>
  <li>
   Model &amp; systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation
  </li>
  <li>
   Evaluation &amp; quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality
   <br/>
   <br/>
  </li>
 </ul>
 What You&rsquo;ll Achieve
 <br/>
 <br/>
 <ul>
  <li>
   Partner with your team to prototype and ship an AI-powered product improvement
  </li>
  <li>
   Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability.
  </li>
  <li>
   Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills You'll Need To Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.
  </li>
  <li>
   Expertise building and prototyping: You&rsquo;re excited to build and iterate quickly, and you&rsquo;ve started exploring AI/ML through coursework, projects, internships, or hackathons. You&rsquo;re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance.
  </li>
  <li>
   Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
  </li>
  <li>
   Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
  </li>
  <li>
   Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Haves
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 <ul>
  <li>
   You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
  </li>
  <li>
   You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
  </li>
  <li>
   You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
   <br/>
   <br/>
  </li>
 </ul>
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000.
 <br/>
 <br/>
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 <br/>
 <br/>
 A Note on AI
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 You don&rsquo;t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement &mdash; when that&rsquo;s the case, we'll say so explicitly in the qualifications. People who thrive here don&rsquo;t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
 <br/>
 <br/>
 Equal Opportunity &amp; Accommodations
 <br/>
 <br/>
 We hire talented people from a wide range of backgrounds. If you&rsquo;re excited about this role but don&rsquo;t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
 <br/>
 <br/>
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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</div>


Software Engineer, Early Career (AI)

Faire

<div><div><p><b>About Faire</b></p>
<p>
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town &mdash; we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.</p>
<p>
We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.</p></div><p><b>
About the role:</b></p>
<p>
As a Senior Enterprise Security Engineer, you will help protect Faire's corporate environment across endpoint, network, identity, and SaaS, and play a key role in how we govern the safe use of AI across the company. You will apply secure-by-default standards, champion zero trust, and turn strategy into practical controls, automation, and guidance that teams adopt. Working across leadership pillars, you will help shape our AI governance approach and own much of how it gets put into practice. This is a role for someone who is strong hands-on and ready to grow their scope and influence across IT, Engineering, Legal, People, Finance, and Product.</p>
<p><b>
What You'll Do:</b></p>
<ul>
<li>Help shape and operate Faire's AI governance program: acceptable-use standards, data protection for AI tools, vendor and model risk review, and safe patterns for AI-assisted work (including agent and MCP-based integrations).</li>
<li>Partner with IT teams to harden endpoint management, corporate infrastructure, identity services, and networking.</li>
<li>Design and implement controls that protect company information from unauthorized access, disclosure, or misuse.</li>
<li>Support and help run our endpoint detection and response platform, email security stack, and phishing simulation and awareness programs.</li>
<li>Build the guardrails and enablement that let teams experiment with AI quickly without creating new exposure, partnering with Engineering rather than duplicating their work.</li>
<li>Advise employees on securing endpoints, office AV, and network gear, and publish clear runbooks.</li>
<li>Build and deliver training that grows a culture of security, accountability, and practical awareness.</li>
<li>Track emerging threats, including AI-specific risks, and make recommendations to improve our posture.</li>
</ul>
<p><b>What It Takes:</b></p>
<ul>
<li>5+ years in enterprise security with hands-on experience.</li>
<li>Practical experience in at least two of these areas: endpoint security, network security, data security, security operations, threat management, AI governance and security.</li>
<li>Exposure to enterprise AI governance and security (e.g. AI platform management, AI tool or MCP security review, prompt guardrailing), with the interest and ability to grow into owning more of it.</li>
<li>Experience writing policies and processes and supporting audits for frameworks such as ISO 27001, SOX, and SOC 2 Type II.</li>
<li>Strong written and verbal communication.</li>
<li>Analytical, outcomes-driven mindset with a bias for action.</li>
<li>Ability to influence others through empathy and relationship-building.</li>
<li>A passion for programming and solving problems with code (Python, Ruby, or Go).</li>
</ul><h4 class="jobSectionHeader"><b>Salary Range:</b></h4>
<p>
San Francisco: the pay range for this role is $174,500 - $240,000 per year.</p>
<p>
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.</p><div><p><i>
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).</i><i> Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.</i></p><br>
<p><b>
Why you'll love working at Faire</b></p>
<ul>
<li><b>Move fast:</b> You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.</li>
<li><b>Equipped to scale:</b> We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.</li>
<li><b>Best in class:</b> Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.</li>
<li><b>Real rewards.</b> Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.</li>
<li><b>Belonging:</b> We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.</li>
</ul>
<p>Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.</p>
<p></p>
<p>Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.</p>
<p>
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)</p>
<p><b>
Privacy</b></p>
<p>
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (https://www.faire.com/privacy)</p></div></div>

Senior Enterprise Security Engineer

HARVEY

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>San Francisco</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Engineering</p>
</div><div><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<ul><li>$161.3K &ndash; $241.9K &bull; Offers Equity &bull; Offers Bonus</li>
</ul><div><p><i>Additionally, this role is eligible to participate in our equity plan and benefits program. Benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.</i></p></div></div></div>
<br><div><h1 class="jobSectionHeader"><b>Why Harvey</b></h1>
<p>At Harvey, we&rsquo;re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we&rsquo;re reshaping how critical knowledge work gets done for decades to come.</p>
<p>This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We&rsquo;re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth &mdash; personal, professional, and financial &mdash; is unmatched.</p>
<p>Our team moves fast, takes ownership, and is deeply committed to the mission &mdash; operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.</p>
<p>At Harvey, the future of professional services is being written today &mdash; and we&rsquo;re just getting started.</p>
<p></p><h1 class="jobSectionHeader"><b>Role Overview</b></h1>
<p>Harvey is building the AI platform trusted by the world&rsquo;s leading law firms and enterprises. Our infrastructure is the foundation that powers every customer interaction, every model inference, and every production workload.</p>
<p>We&rsquo;re looking for a Production Engineer to help build and operate Harvey&rsquo;s core compute and networking infrastructure, Kubernetes platform, workflow orchestration platform, and production infrastructure foundations. You&rsquo;ll work on the systems that enable engineering teams to move quickly and operate reliable services at scale.</p>
<p>In this role, you&rsquo;ll improve the reliability, scalability, security, and efficiency of Harvey&rsquo;s infrastructure platform. You&rsquo;ll solve complex production challenges across compute fleet management, capacity planning, infrastructure automation, and production operations. You&rsquo;ll partner closely with Product Engineering, Security, AI Infrastructure, and Platform teams to ensure our infrastructure scales with Harvey&rsquo;s rapid growth.</p>
<p>At Harvey, we value Decisiveness, Simplicity, and the belief that Job&rsquo;s Not Finished. We move quickly, prioritize clarity, and continuously raise the bar for engineering excellence.</p>
<p></p><h1 class="jobSectionHeader"><b>What You'll Do</b></h1>
<h2 class="jobSectionHeader"><b>Infrastructure Engineering &amp; Technical Leadership</b></h2>
<ul><li><p>Design, build, and operate the production infrastructure that powers Harvey&rsquo;s products and AI workloads.</p>
</li><li><p>Drive technical direction across compute infrastructure, networking, Kubernetes, workflow orchestration, and production operations.</p>
</li><li><p>Lead complex, cross-functional technical initiatives that improve reliability, scalability, security, operational efficiency, and infrastructure cost.</p>
</li><li><p>Partner with Product Engineering, Security, AI Infrastructure, and Platform teams to translate product and business requirements into resilient infrastructure solutions.</p>
</li><li><p>Establish reusable patterns, tooling, and paved paths that help engineering teams ship and operate production services safely.</p>
</li><li><p>Raise the engineering bar through thoughtful design reviews, clear technical documentation, operational rigor, and mentorship.</p>
</li></ul><h2 class="jobSectionHeader"><b>Infrastructure Foundation &amp; Production Operations</b></h2>
<ul><li><p>Build and operate Harvey&rsquo;s global compute and network infrastructure, ensuring high availability, scalability, reliability, and performance.</p>
</li><li><p>Improve compute utilization, performance, and service availability while supporting rapidly growing AI workloads.</p>
</li><li><p>Develop capacity models, demand forecasts, and fleet lifecycle automation to help infrastructure scale efficiently with business growth.</p>
</li><li><p>Operate and continuously improve Harvey&rsquo;s Kubernetes platform, including cluster provisioning, upgrades, networking, monitoring, reliability, performance, and operational automation.</p>
</li><li><p>Drive infrastructure cost efficiency through capacity management, resource rightsizing, workload optimization, and utilization monitoring.</p>
</li><li><p>Build secure infrastructure foundations, including identity and access management, network isolation, secrets management, auditing, and compliance controls.</p>
</li><li><p>Develop scalable Infrastructure-as-Code and automation frameworks using technologies such as Terraform and Pulumi.</p>
</li><li><p>Improve observability, monitoring, alerting, incident response, and operational readiness across the infrastructure platform.</p>
</li><li><p>Participate in the on-call rotation, lead incident response when needed, and turn production learnings into durable engineering improvements.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>What You Have</b></h1>
<ul><li><p>5+ years of software, infrastructure, site reliability, or production engineering experience.</p>
</li><li><p>Deep experience building and operating large-scale cloud infrastructure on AWS, Azure, or Google Cloud Platform.</p>
</li><li><p>Strong hands-on experience operating Kubernetes in production, including cluster lifecycle management, networking, and reliability.</p>
</li><li><p>Experience building and operating distributed systems with strong reliability, scalability, and performance characteristics.</p>
</li><li><p>Experience with infrastructure automation and Infrastructure-as-Code using tools such as Terraform or Pulumi.</p>
</li><li><p>Strong understanding of compute infrastructure, networking, capacity planning, fleet management, and production operations.</p>
</li><li><p>Experience designing and operating observability systems, including monitoring, logging, alerting, and incident response.</p>
</li><li><p>Strong understanding of infrastructure security, including IAM, network security, secrets management, and compliance best practices.</p>
</li><li><p>A track record of driving complex, cross-functional technical initiatives and influencing engineering decisions without relying on formal authority.</p>
</li><li><p>Excellent communication skills and the ability to explain technical concepts clearly to engineering partners and other stakeholders.</p>
</li><li><p>A systems-thinking mindset and a passion for building simple, reliable, and scalable infrastructure platforms.</p>
</li></ul><h2 class="jobSectionHeader"><b>Nice to Have</b></h2>
<ul><li><p>Experience supporting AI/ML or LLM infrastructure at scale.</p>
</li><li><p>Experience operating GPU fleets, high-performance compute infrastructure, or large-scale capacity planning.</p>
</li><li><p>Experience with multi-cloud infrastructure or hybrid cloud environments.</p>
</li><li><p>Experience building internal platforms or developer tooling that improves engineering velocity and production safety.</p>
</li></ul><p></p><h1 class="jobSectionHeader"><b>Compensation</b></h1>
<p>$161,300 - $241,900 USD</p>
<p></p><h3 class="jobSectionHeader"><b>Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices </b><b>here</b><b>.</b></h3>
<p>#LI-AN2</p>
<p></p><p><i>Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.</i></p>
<p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai</p></div>

Senior Software Engineer, Production Engineering

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