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Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About the Team We're a small, high-impact engineering team embedded inside the Go-To-Market organization. Our job is to make Bloomreach impossible to ignore in a sales cycle by using AI to build demo environments, automate work, and create self-serve tools for presales teams around the world. We move fast, experiment constantly, and build things that end up in front of some of the world's largest retailers and brands. We care about craft, speed, reliability, and whether the field can actually use what we ship. The Role Bloomreach is seeking an AI Demo Engineer who is AI-native by instinct: a flexible software engineer who reaches for AI tools first, learns quickly, and uses technology to solve whatever problem is blocking the field. This is not a traditional engineering role. You are not maintaining produc

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role This is a high-impact role that offers the opportunity to collaborate with stakeholders across all areas of the business, supporting critical legal-related workflows and outcomes. As an Embedded Legal Engineer, you'll be uniquely positioned at the intersection of engineering and legal, working directly within our Legal Team to transform high-touch, manual workflows into scalable, automated solutions. This is a mission-critical role that combines deep technical expertise with intimate understanding of end to end legal operations challenges, enabling you to build tooling that directly impacts all Palantirians across the globe. In this role you’ll have the unique opportunity to directly influence and scale internal legal operations for our customers (Palantirians), who are working alongside the world's most critical institutions. By building on Palantir’s powerful platforms, leveraging integrated cutting-edge AI, you’ll help Palantir unlock the full potential to make smarter, faster decisions.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role This is a high-impact role that offers the opportunity to collaborate with stakeholders across all areas of the business, supporting critical legal-related workflows and outcomes. As an Embedded Legal Engineer, you'll be uniquely positioned at the intersection of engineering and legal, working directly within our Legal Team to transform high-touch, manual workflows into scalable, automated solutions. This is a mission-critical role that combines deep technical expertise with intimate understanding of end to end legal operations challenges, enabling you to build tooling that directly impacts all Palantirians across the globe. In this role you’ll have the unique opportunity to directly influence and scale internal legal operations for our customers (Palantirians), who are working alongside the world's most critical institutions. By building on Palantir’s powerful platforms, leveraging integrated cutting-edge AI, you’ll help Palantir unlock the full potential to make smarter, faster decisions.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role This is a high-impact role that offers the opportunity to collaborate with stakeholders across all areas of the business, supporting critical legal-related workflows and outcomes. As an Embedded Legal Engineer, you'll be uniquely positioned at the intersection of engineering and legal, working directly within our Legal Team to transform high-touch, manual workflows into scalable, automated solutions. This is a mission-critical role that combines deep technical expertise with intimate understanding of end to end legal operations challenges, enabling you to build tooling that directly impacts all Palantirians across the globe. In this role you’ll have the unique opportunity to directly influence and scale internal legal operations for our customers (Palantirians), who are working alongside the world's most critical institutions. By building on Palantir’s powerful platforms, leveraging integrated cutting-edge AI, you’ll help Palantir unlock the full potential to make smarter, faster decisions.

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Product Security Engineer to build the systems that triage and validate bug bounty and other externally reported security findings, not to work the queue, and this role suits a software engineer moving into security or a security engineer with a strong engineering background. You will build large language model (LLM) and agent-based tooling that validates findings, traces them to their root cause, and opens fixes for well-understood vulnerability classes. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do: Build the systems that take in externally reported vulnerabilities and assess validity, severity, and reproducibility at a volume manual triage cannot match Build LLM and agent-based analysis that validates business logic, authentication, and design-level findings, not just known signatures Build systems that trace validated findings to their root cause and propose, and increasingly open, fixes for well-understood vulnerability classes, with human review gates Own the bug bounty program, including scope, policy, and researcher engagement, and feed every resolved report back into automated triage Extend the tooling into security testing capabilities that customers can use on what they build and deploy What you need: 5+ years of software engineering or security engineering experience, building and shipping production systems or internal tools Wrote production code in JavaScript/TypeScript on Node.js, with hands-on experience in web frameworks such

Principal Embedded SW/FW Engineer (Bringup) - Austin, Tx, USA Job Summary We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms. You will play a key role in supporting new product introductions and post-silicon validation. Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes. The Team The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. Responsibilities and Duties Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon Deploy silicon validation tests on first silicon and debugging them Develop automated test framework and regression test suites in Python to optimize validation efficiency Collaborate closely with engineers from many other disciplines on a variety of topics Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies Analyse test results, identify and debug failures/defects Contribute to shared test and validation infrastructure Provide feedback to architects Candidate Profile Essential: Understanding of ML

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. You will: Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the modern ML stack (PyTorch and/or

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. You will: Collaborate closely with traders to translate research insights into systematic trading strategies Design, develop and deploy models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Build robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Own models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we're looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuitive grasp of overfitting, g

About BlockTech BlockTech is an algorithmic trading firm operating at the frontier of global crypto derivatives and spot markets. We trade 24/7 across some of the fastest-moving, most data-rich venues in finance. Crypto remains one of the few markets where a researcher can still meaningfully move the edge: abundant data, novel microstructure, and the shortest possible loop between a research idea and live PnL. We're looking for an experienced Quantitative Researcher to take ownership of that edge and push it further. The role This is a senior, hands-on research seat on our trading floor. You'll own a research agenda end-to-end from hypothesis, dataset construction, feature engineering, model training, backtesting, live deployment, monitoring, and iteration. You'll be trusted to set its direction. You'll work shoulder-to-shoulder with fellow researchers, traders and analysts, shape how we price and trade, and help raise the bar for research across the floor, including mentoring less experienced researchers and influencing the tools and standards the team relies on. What you'll do Own price-prediction, signal, execution, and anomaly-detection models across crypto derivatives and spot markets from idea to live PnL using state-of-the-art ML Shape our research, backtesting, and trading infrastructure together with engineers, so good ideas reach production quickly and safely Own models in production: monitor live performance, diagnose decay, and iterate on what you ship Set research direction alongside traders, deciding which trades are worth making and why Raise the research bar by mentoring colleagues, reviewing work, and setting standards for rigour What we're looking for 4+ years of hands-on quantitative research and/or applied ML experience, with a track record of models you've taken into production trading live A strong academic foundation in a quantitative discipline (mathematics, physics, statistics, computer science, ML/AI, or similar) Fluency in Python and the m

About BlockTech BlockTech is a fast-paced algorithmic trading firm at the frontier of global cryptocurrency derivatives and spot markets. We trade 24/7 across some of the most data-rich, fast-moving venues in finance, and we use that data to build smarter models, sharper signals, and more adaptive systems. Crypto is one of the few markets where a researcher can still meaningfully move the edge. The data is abundant, the microstructure is novel, and the feedback loop between a research idea and live PnL couldn’t be shorter. We’re growing fast, and we’re looking for a Quantitative Researcher with a strong machine learning toolkit to help us push that edge further. The role As a Quantitative Researcher on our trading floor, you’ll own ideas end-to-end from hypothesis and dataset construction through feature engineering, model training and backtesting, all the way to live deployment, monitoring, and iterative improvement. You’ll sit shoulder-to-shoulder with Quantitative Traders and Quantitative Analysts, and your work will directly drive how we price and trade. What you’ll work on Collaborating closely with traders to translate research insights into systematic trading strategies Designing, developing and deploying models for price prediction, signal generation, execution, and anomaly detection across crypto derivatives and spot markets using state-of-the-art AI and ML techniques. Building robust trading, backtesting and research infrastructure alongside our engineers, so promising ideas can move into production quickly and safely Owning models in production: monitoring live performance, diagnosing decay, and iterating on what you ship What we’re looking for A strong academic background in a quantitative discipline (Mathematics, Physics, Statistics, Computer Science, Econometrics, ML/AI, or similar), typically a PhD or an MSc with strong research experience Fluency in Python and the modern ML stack (PyTorch and/or TensorFlow, scikit-learn, NumPy, pandas) A deep, intuit

About the Team The Proactivity Research team, within OpenAI’s broader Personal AGI team, is focused on making our models in ChatGPT and future potential products proactive in ways that are truly useful. We're laying the technical foundations for AI that can anticipate what users need in real time, adapt as their goals and preferences shift, and build a deeper, evolving understanding of the person it's helping. About the Role As a Research Engineer / Scientist, you will research and develop improvements to our models’ personalization and agentic capabilities. Our team works on reinforcement learning, dataset creation, evaluations, and other post-training methods. We partner closely with research and product teams across the company to realize the vision of a highly personalized, collaborative, and proactive assistant. We're looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models. An ideal candidate is passionate about product-driven research. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Own and pursue a research agenda to improve the proactivity and ability of our models to further user goals. Build robust evaluations for tracking modeling improvements. Design, implement, test, and debug code across our research stack. Collaborate closely with the other research and product teams to influence the shape of technical solutions in the product You might thrive in this role if you: Have a deep understanding of machine learning and machine learning applications. Have a working knowledge of LLM post-training and evaluation approaches Are passionate about, or have experience thinking about, personalization and enabling users to achieve their goals Are comfortable diving into a large ML codebase to debug. Thrive in a dynamic and technically complex environment. About OpenAI

About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Security Software Engineer, IAM, to build identity and access management (IAM) infrastructure as software, not administer identity products, and this role suits a software engineer who has gone deep on identity or an IAM engineer with a strong engineering background. You will own identity and IAM end to end, replacing the approval queue with access that is self-serve, time-bound, and provable, built so identity is defined as code, reviewed in pull requests, deployed through CI, and observable in production, and you will help decide how agents act on behalf of users and systems. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do: Migrate Okta and related IAM configuration to Terraform so every identity change is reviewed, tested, and versioned, and help engineering teams adopt infrastructure as code Build a self-serve access platform, including just-in-time (JIT) access, that lets team and system owners define, request, and time-bound their own access Own provisioning, deprovisioning, and access review workflows that generate System and Organization Controls 2 (SOC 2) audit evidence automatically Unify corporate IAM (employee identity, SaaS access, devices) and production IAM (service accounts, infrastructure permissions, on-call access) into one identity plane, and enforce least-privilege access across cloud, SaaS, and production infrastructure Define and build how agents request and hold access, working with the Accounts team on product-facing ide

The role is responsible for leading all aspects of construction project operations to ensure timely delivery, budget control, and adherence to quality and safety standards. This role involves strategic planning, overseeing project execution, and managing cross-functional teams, including contracts, architecture, procurement, and HSE. The position also focuses on vendor management, project feasibility, value engineering, and developing long-term project strategies to deliver high-quality projects that meet global standards. Source: Adani Group | Job ID: 52485

The role is responsible for leading all aspects of construction project operations to ensure timely delivery, budget control, and adherence to quality and safety standards. This role involves strategic planning, overseeing project execution, and managing cross-functional teams, including contracts, architecture, procurement, and HSE. The position also focuses on vendor management, project feasibility, value engineering, and developing long-term project strategies to deliver high-quality projects that meet global standards. Source: Adani Group | Job ID: 52488

The role is responsible for leading all aspects of construction project operations to ensure timely delivery, budget control, and adherence to quality and safety standards. This role involves strategic planning, overseeing project execution, and managing cross-functional teams, including contracts, architecture, procurement, and HSE. The position also focuses on vendor management, project feasibility, value engineering, and developing long-term project strategies to deliver high-quality projects that meet global standards. Source: Adani Group | Job ID: 52484