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Apple

The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog. 
 
Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy. 
 
Join us, you&rsquo;ll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of content at scale. Working closely with cross-functional partners in product and design, you&rsquo;ll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day. 
 
Description 
 
As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. 
 
You&rsquo;ll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards. 
 
This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight.&quot;,&quot;responsibilities&quot;:&quot;Solve complex research problems and implement solutions from concept to execution. 
 
Design and implement retrieval and ranking systems using semantics and user context. 
 
Build and deploy ML, NLP and LLM models to improve search relevance and personalization. 
 
Analyze data and model performance to identify opportunities for search quality enhancement. 
 
Develop automated tests for continuous integration and ensure successful production deployment. 
 
Conduct A/B tests to measure search improvements. 
 
Collaborate with cross-functional teams to innovate intelligent video catalog text search. 
 
Enhance search recall and ranking for global Apple devices across all platforms and languages. 
 
Utilize big data tech to evaluate content discovery features. 
 
Ensure systems meet Apple&rsquo;s privacy, efficiency, and user experience standards. 
 
Preferred Qualifications 
 
Experience with search or recommendation systems, and semantic retrieval or vector databases. 
 
Expertise in transformer architectures, embeddings, and retrieval or ranking models. 
 
Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions. 
 
Exposure to evaluation and safety frameworks for LLM-based systems. 
 
Knowledge of reinforcement learning and other modern post training practices for LLMs. 
 
Passion for developing intelligent, human-centered experiences to enhance content discovery. 
 
Minimum Qualifications 
 
Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs). 
 
Strong programming skills in Python, Java and Go for building scalable ML systems. 
 
Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment. 
 
Ability to translate product goals into technical solutions, improving user experience. 
 
Strong communication, collaboration, and analytical problem-solving skills. 
 
In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more. 
 
Industrial experience in search, classification, recommendation systems, or related fields. 
 
Familiarity with A/B testing and data-driven product development. 
 
Passionate about creating products loved by customers at Apple. 
 
Bachelor&rsquo;s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. 
 
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.

Machine Learning Engineer, ASE Search Team

Cognition

<div>
 
 We are an applied AI lab building end-to-end software agents.
 
 
 
 We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals.
 
 
 Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.
 
 
 Building Devin and Windsurf is just the first step&mdash;our hardest challenges still lie ahead. If you&rsquo;re excited to solve some of the world&rsquo;s biggest problems and build AI that can reason on real-world tasks, apply to join us.
 
 
 
 About The Role
 
 
 
 We're hiring a technical Data Engineer to own our full data stack &ndash; from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company.
 
 
 There are multiple openings across various teams: GTM, Core Product, and Finance.
 
 
 
 
 
 In This Role You Will
 
 
 
 <ul>
 <li>
 Design and manage database architecture and data models
 </li>
 <li>
 Build and maintain ETL/ELT pipelines and orchestration workflows
 </li>
 <li>
 Create and manage new data integrations across internal and external systems
 </li>
 <li>
 Own business reporting: datasets, dashboards, metrics, and self-serve analytics
 </li>
 <li>
 Ensure data quality, observability, governance, and documentation
 
 
 </li>
 </ul>
 
 Requirements For The Role
 
 
 
 <ul>
 <li>
 4+ years in a data engineering, data science, or full-stack data role
 </li>
 <li>
 Expert on SQL and Python (required)
 </li>
 <li>
 Experience with data modeling, warehouse architecture, and BI-oriented schema design
 </li>
 <li>
 Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
 </li>
 <li>
 Experience building or maintaining BI reporting (Metabase a plus)
 </li>
 <li>
 Experience developing scalable backend heavy applications
 </li>
 <li>
 Strong knowledge of statistics and experimentation
 </li>
 <li>
 Based in SF or NYC
 
 
 </li>
 </ul>
 Equal Opportunity
 
 
 Cognition is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.
</div>

Data Engineer

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 </li>
 </ul>
</div>

Notion

<div>
 Who We Are
 
 
 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.
 
 
 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.
 
 
 
 About The Role
 
 
 
 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.
 
 
 We're looking for an New Grad 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.
 
 
 
 Role
 
 
 
 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:
 
 
 <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
 
 
 </li>
 </ul>
 What You&rsquo;ll Achieve
 
 
 <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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Pursuing a bachelor's or master&rsquo;s degree in computer science, engineering, or another related field. Must be able to start full time prior to July 27, 2026.
 </li>
 <li>
 Previous internship experience.
 </li>
 <li>
 Working towards a proficiency of one or more programming languages such as Typescript, React, Python, etc.
 
 
 </li>
 </ul>
 Skills You'll Need To Bring
 
 
 <ul>
 <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>
 Problem-solving: You&rsquo;re curious and methodical. You ask good questions, break down ambiguous problems into smaller pieces, and iterate with feedback from teammates. You think about how what you build will impact users and the business.
 </li>
 <li>
 Communication and collaboration: You communicate clearly in writing and in meetings, and you&rsquo;re comfortable learning in public&mdash;sharing early work, asking for help, and incorporating feedback. You enjoy partnering with engineers and cross-functional teammates (product, design, data).
 </li>
 <li>
 Impact and user focus: You care about building the right thing, not just building it quickly. You prioritize work based on user needs and outcomes, and you&rsquo;re mindful that features at Notion can reach millions of people.
 
 
 </li>
 </ul>
 Nice To Haves
 
 
 <ul>
 <li>
 You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, etc.
 </li>
 <li>
 You&rsquo;re a builder who finds joy in building software solutions for yourself or others
 </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.
 
 
 </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 $126,000-$146,000.
 
 
 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.
 
 
 A Note on AI
 
 
 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.
 
 
 Equal Opportunity &amp; Accommodations
 
 
 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.
 
 
 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.
 
 
</div>

Software Engineer, New Grad (AI)

OpenAI

About the Team
 
The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.
 
The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.
 
About the Role
 
As an Agentic Risk Analyst, you will shape OpenAI’s operating picture for current agentic risk across products and platforms. You will bring a strategic, system-level perspective to current risks, connecting individual incidents, technical findings, abuse patterns, and external developments to relevant workstreams, mitigations, owners, dependencies, and residual gaps. You will analyze how risks emerge through autonomy, multi-step task execution, tool use, memory, retrieval, connectors, computer-use capabilities, and multi-agent workflows, with a particular focus on both adversarial misuse and unintended system behavior. By synthesizing signals from investigations, evaluations, red teaming, security reviews, product launches, external research, and real-world incidents, you will maintain a current view of material risks and evolving threat patterns. Your work will help turn complex and often ambiguous signals into coordinated decisions and measurable follow-through across product, safety, security, policy, and governance teams.
 
You will work closely with investigators, engineers, product, policy, safety, and security teams, and measurement and forecasting experts who lead longer-horizon risk discovery and scenario work to maintain a shared operating picture of current risks, mitigation priorities, owners, and dependencies. This is an opportunity to help shape how OpenAI coordinates decisions and follow-through across the evolving risk landscape of increasingly capable agentic systems, ensuring that safety decisions keep pace with rapidly advancing technology.
 
In this role, you will: 
Build and maintain a current, company-wide portfolio of material agentic risks across OpenAI’s products, platforms, and emerging capabilities, mapping each risk to relevant workstreams, owners, mitigations, dependencies, decisions, and residual gaps.
 
Run a cross-functional intake and review cadence for signals from across OpenAI and the broader ecosystem to identify emerging risks, evolving threat patterns, and important shifts in the agentic risk landscape, routing findings to the right owners and decision-makers
 
Connect individual incidents, technical findings, evaluations, and weak signals to broader system-level trends, producing clear assessments of impact, severity, evidence, uncertainty, priority, and recommended action.
 
Assess how emerging capabilities, product changes, ecosystem developments, and adversary adaptation may affect current risk priorities and launch readiness, surfacing risks that are unowned, stalled, or under-mitigated for decision and escalation, and tracking residual risk after launch.
 
In partnership with colleagues who lead horizon scanning, use relevant external developments across AI safety and security research, public incidents, adversarial activity, industry standards, emerging technologies, and competitor products, as inputs to current risk prioritization and mitigation decisions at OpenAI.
 
Apply and refine practical frameworks and taxonomies for current agentic failure modes, control gaps, abuse patterns, and potential downstream harms across products, deployment environments, and user workflows, integrating them into the broader risk program.
 
Produce concise, decision-ready assessments that communicate key findings, assumptions, confidence levels, competing hypotheses, and prioritized recommendations for product, safety, security, policy, and leadership stakeholders, with accountable owners and next review points.
 
Define and track operating metrics for the agentic-risk program, including coverage, ownership, decision latency, mitigation status, and closure and partner with measurement experts on risk indicators and monitoring capabilities.
 
Partner with colleagues who lead evaluations, scenario analyses, tabletop exercises, red-team campaigns, and investigations focused on agentic systems, using their findings to drive actionable mitigations, accountable ownership, and measurable follow-through.
 
You might thrive in this role if you
 
Have significant experience—typically 7+ years—in trust and safety, integrity, security, cyber threat intelligence, AI safety, product risk, strategic intelligence, abuse investigations, or a related field.
 
Have a strong understanding of modern AI systems and agentic architectures, including hands-on experience using, evaluating, or building agentic systems. You are familiar with AI safety concepts, agentic failure modes, and misalignment risks, and can reason about how agent objectives, incentives, environments, and system design choices may produce unintended or harmful outcomes.
 
Have demonstrated experience analyzing how harmful outcomes emerge from interactions between users, products, and technical systems, and can assess how increasingly capable agentic systems may amplify, automate, or transform existing abuse vectors such as fraud, scams, social engineering, coordinated influence operations, cyber abuse, or other forms of platform misuse. You have also helped operate a cross-functional risk, safety, security, or integrity program, clarifying ownership, resolving dependencies, escalating gaps, and driving follow-through without direct authority.
 
Have exceptional analytical judgment and experience producing assessments under uncertainty. You can identify weak signals, develop and test hypotheses, distinguish signal from noise, communicate assumptions and confidence levels clearly, and update your conclusions as new evidence becomes available.
 
Possess strong technical fluency and are comfortable engaging deeply with engineers, researchers, and security practitioners. You do not need to be an engineer, but you should be able to translate technical findings into clear risk assessments.
 
Are comfortable synthesizing data and evidence from multiple sources to manage a current risk portfolio, including investigations, telemetry, evaluations, experiments, dashboards, and external research. Experience using SQL, Python, and analytical tools is a plus.
 
Have experience applying risk frameworks, threat models, severity assessments, taxonomies, or prioritization frameworks to structure current operational ambiguity and support decision-making.
 
Communicate complex topics clearly and effectively, producing concise, executive-ready analysis and influencing stakeholders across technical and non-technical teams.
 
Thrive in fast-moving environments, balancing rigor with pragmatism while building lightweight operating processes and tools that improve organizational coordination and follow-through on material risks.
 
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
 
$288K – $425K + Offers Equity

Agentic Risk Analyst

Valence

<div>Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We&rsquo;re not just talking about the future of work &mdash; we&rsquo;re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology.
Learn more about our work with Microsoft: Valence Brings AI Coaching More Deeply Into the Flow of Work with Microsoft 365
Our focus is on the problems that actually decide whether AI changes how organizations operate &mdash; the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance.
And this isn&rsquo;t for everyone. We&rsquo;re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what&rsquo;s possible, who get bored when things feel &ldquo;done,&rdquo; and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself.<div></div> 
The Role
As a Platform Engineer at Valence, you will build and operate the secure, reliable, and scalable foundation that lets every product and AI team ship Nadia innovations faster and with lower risk. Platform Engineering is Valence's force multiplier: we own the shared control planes for trust and safety, global access and routing, LLM governance, deployment automation, workload isolation, observability and SLOs, and AI-native engineering execution.
Your mandate is simple: increase shipping velocity and customer trust at the same time, by making the safe path the default path. You'll build the paved roads every team uses in production, and enforce minimum production standards through templates, CI/CD gates, scorecards, and time-bound exceptions, so every service is observable, reversible, and secure by default.
We don't expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute across challenges that span reliability, security, global delivery, and developer experience.<div></div> 
About Valence
We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.<div></div> 
We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestl&eacute;, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.<div></div> 
Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.
What You'll Do<ul><li>
Build the paved roads. Design and operate shared platform primitives used by multiple teams (authorization and routing guardrails, secure logging, rollout controls, observability, queue infrastructure, and the centralized LLM gateway) so teams build on standards instead of reinventing them.</li><li>
Make change safe by default. Own the reliability and change-safety systems that let the org move fast without breaking trust: CI/CD gates, migration safety patterns, progressive delivery, rollback automation, and kill switches.</li><li>
Enforce security at the platform layer. Ship secure defaults, policy enforcement frameworks, auditability, and data-access guard libraries so the safe path is the easy path.</li><li>
Run global delivery controls. Implement single-domain strategy, region pinning and routing, residency-aware behavior, and cross-region config consistency checks for enterprise customers worldwide.</li><li>
Raise the operational bar. Establish SLOs, synthetic checks, alerting standards, and incident runbooks and drills that drive faster detection and recovery.</li><li>
Build the internal developer platform. Create service templates, blessed internal-tool paths, and standard deploy, monitoring, and auth patterns that make the right thing the default thing.</li><li>
Operate an AI-native engineering plane. Build issue-to-PR automation infrastructure with governance, human-in-control workflows, and audit logs that convert signals into auditable, human-approved execution outcomes.</li></ul>
What We're Looking For<ul><li>
Technical foundation: 8+ years of experience in software engineering, distributed systems, infrastructure, or platform/SRE roles, with a track record of building systems other teams depend on.</li><li>
Platform mindset: You build reusable primitives, not one-off features. You think in terms of paved roads, secure defaults, and standards that scale across many teams.</li><li>
Reliability and change-safety expertise: Hands-on experience with CI/CD, progressive delivery, rollback and migration safety, observability, SLOs, and incident response.</li><li>
Cloud &amp; deployment experience: Comfortable developing and operating services in cloud environments (AWS, GCP, Azure) and working with containerization and orchestration (Docker, Kubernetes).</li><li>
Security &amp; compliance awareness: Familiarity with implementing platform-level guardrails (authorization, auditability, data-access controls, and policy enforcement) in a privacy- and residency-conscious way.</li><li>
Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams.</li><li>
Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and shape our platform and culture.</li><li>
Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders.</li></ul>
What You'll Get<ul><li>
Ownership &amp; Rapid Growth</li><li>
Outsized missions from day one, with direct responsibility for company-defining projects</li><li>
Work alongside the executive team with transparency into strategy and decision-making</li><li>
Influence on direction through real-time customer feedback and market insights</li></ul><div></div><ul><li> 
AI-First Operator</li><li>
Work directly with cutting-edge AI models and next-generation platforms</li><li>
Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries</li><li>
Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale</li></ul><div></div><ul><li> 
Compensation</li><li>
Competitive salary including base + bonuses</li><li>
Comprehensive health coverage (medical, dental, vision) from day one</li><li>
Generous PTO, company-wide R&amp;R shutdowns, and paid parental leave</li><li>
Retirement plan support for US and global employees</li></ul><div></div><ul><li> 
Equity</li><li>
Meaningful ownership in a venture-backed company at a growth inflection point</li><li>
Financial upside that comes from scaling fast</li><li>
Top-up grants as we scale and you deliver exceptional performance &mdash; your compensation grows alongside your impact</li></ul><div></div><ul><li> 
Top-Performing Culture</li><li>
A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together</li></ul><div></div> 
Learn more about us and meet our team here
Location and Work Environment
If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US.<div></div> 
Diversity and Inclusion
We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co.<div></div> 
Employment Verification &amp; Commitment
We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition.
Valence is committed to protecting the privacy of all applicants. Information you submit will be used for recruiting, evaluation, legal compliance, and recordkeeping purposes only. We do not require access to personal account credentials at any stage of the hiring process. For more information, see our Candidate Privacy Notice.<div></div> 
#LI-HYBRID</div>

Staff Software Engineer, Platform

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Applications will be accepted until 07/15/2026.
Join Salesforce's brand-new IT Employee Success and Finance Platform and Innovations team &mdash; a greenfield engineering org built from the ground up since early 2026 to define the data foundation powering HR and Finance at global scale. Based in San Francisco, CA; Indianapolis, IN; Denver, CO; New York, NY; or Atlanta, GA, you will serve as the technical authority for our Workday integration ecosystem, architecting the pipelines that make employee and financial data available, accurate, and ready for agentic use cases across Salesforce.
<h2 class="jobSectionHeader">What You'll Actually Be Doing
</h2><ul><li>Architect and govern the integration landscape between Workday and Salesforce's broader enterprise ecosystem &mdash; designing scalable, secure, high-throughput pipelines that treat PII and SOX-regulated data with zero tolerance for error.
</li><li>Translate complex HR and Finance business strategies into reusable, well-documented integration platforms that make the entire engineering organization more efficient and capable of supporting agentic workloads.
</li><li>Partner with HR and Finance business stakeholders to define data integrity standards, validate integration accuracy, and drive adoption of engineering excellence practices including modern CI/CD for SaaS and robust testing automation.
</li><li>Mentor lead and staff engineers, lead architectural review processes, and establish guardrails that raise the technical bar across the team as the platform scales.
</li></ul><h2 class="jobSectionHeader">You're Our Person If&hellip;
</h2><ul><li>You have 10 or more years of software engineering experience, including at least 2 years in a technical lead or staff capacity, with a strong track record of building SaaS-to-SaaS integrations and custom middleware/APIs bridging legacy and modern enterprise systems.
</li><li>You have deep experience handling high-stakes financial or HR data &mdash; you understand that a 1% data mismatch in Finance or HR is a 100% failure, and you architect accordingly with SOX compliance and auditability at the center.
</li><li>You think in platforms, not features &mdash; your work emphasizes reusability, documentation, and consistent engineering patterns that downstream consumers can trust.
</li><li>You are a skilled communicator who can partner with non-technical business stakeholders, influence engineering direction without direct authority, and drive alignment across cross-functional teams.
</li><li>A related technical degree required.
</li></ul><h2 class="jobSectionHeader">Even Better If&hellip;
</h2><ul><li>You have direct hands-on experience with Workday (Extend, Orchestration, Integration Studio, or similar tools).
</li><li>You have worked in a FinTech or highly regulated industry where audit trails and compliance are non-negotiable.
</li><li>You are familiar with the Salesforce ecosystem &mdash; including MuleSoft, Data Cloud, or Slack &mdash; and understand how to connect Workday data into these platforms.
</li><li>You have experience standing up new platform teams or programs from scratch, including defining standards and onboarding engineering contributors.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually.&amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

Lead Software Engineer, ES & Finance Platform

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