In this role, you will play a pivotal part in building and enhancing Equity Volatility Risk and P&L system that supports our Equity Volatility Managers.

This is an exciting opportunity to work in a fast-paced hedge fund environment, where your contributions will directly impact trading performance and risk management capabilities.

The ideal candidate will bring a combination of technical expertise and business domain knowledge for developing robust, scalable systems.

Principal Responsibilities:

• Design, develop, and implement a robust risk system for Equity Volatility trading strategies.
• Build and maintain scalable, high-performance server-side application using Java and Spring Boot frameworks.
• Build and integrate exotic pricing models to handle pricing and lifecycle of the product.
• Provide level-3 support, troubleshooting, and performance tuning for production systems.
• Proactively address system bottlenecks and implement solutions to ensure the platform remains robust.
• Conduct code reviews and implement automated testing to ensure the reliability and quality of the system.
• Write clean, maintainable, and testable code, adhering to best practices in software engineering.

Qualifications/Skills Required:

• Proficiency in Java development with experience in building scalable, high-performance systems.
• Strong knowledge of Spring Boot and its ecosystem for developing microservices.
• Experience with Python for scripting and automation.
• Experience in distributed caching technologies (e.g. Ignite, or similar).
• Familiarity with containerization technologies (e.g. Podman, Kubernetes) and cloud computing platforms (e.g. AWS).
• Solid understanding of software development best practices, including version control (e.g. Git), CI/CD pipelines, and automated testing frameworks.
• Previous experience working with Equity Derivatives in a sell-side or buy-side firm.
• Strong understanding of equity derivative products such as options and futures.
• Some understanding of structured products in terms of pricing, lifecycle, and risk characteristics.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, high-pressure environment.

XML job scraping automation by YubHub

The ideal candidate should have a proven track record in developing and maintaining Java-based front-end applications in the finance sector. Exceptional team collaboration skills and the ability to work effectively with colleagues across global time zones are crucial.

Millennium strongly prioritizes our synergistic culture, which revolves around teamwork and low egos. You should possess the ability to work in a fast-paced environment both collaboratively and individually while managing multiple projects simultaneously.

The successful individual will have a strong sense of urgency, emotional intelligence, and prioritize a high-caliber end-user experience.

Qualifications:

• Bachelor’s degree in computer science or comparable
• 7+ years of professional experience with Core Java and Java Swing, electronic trading systems and/or trader workstations environment strongly preferred.
• 5+ years of experience working with HTML, JavaScript, CSS, and JQuery
• Deep understanding of multithreading and distributed systems within a high performance, latency-sensitive environment
• Strong knowledge of unit testing frameworks and continuous test-driven development practices
• Enterprise level experience with design patterns such as MVC, MV, MVP
• Enterprise level experience with RESTful web services
• Previous experience liaising with non-technology stakeholders, polished and proactive communication skills

Beneficial/Ideal Technology Experience:

• EXT-JS, AngularJS, AJAX, JSON experience is very beneficial
• Knowledge of equities, futures, options and other asset classes is preferred
• Enterprise level experience with OMS architecture and design is preferred
• Experience with messaging middleware, Solace preferred
• Experience with relational and NoSQL databases. MongoDB preferred
• Experience working with financial data, including reference data, market data, order/execution and positions data.
• Experience working with Cloud: AWS (preferred), GCP or Azure

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

XML job scraping automation by YubHub

Your responsibilities will include:

Architecting and owning the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more).

Designing and deploying scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories.

Building ML-powered marketing targeting systems that identify the right users for the right campaigns , new buyer discounts, drop campaigns, weekly deals, and seasonal promotions , driving conversion without conditioning users to wait for discounts.

Leveraging Discord's unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations that differentiate Discord from traditional game storefronts.

Driving deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions.

Partnering closely with Shop, Game Commerce, Revenue Infra, ML Infra, and Data Engineering teams to define ML requirements, surface integration points, and influence the commerce roadmap.

To be successful in this role, you will need:

4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end.

Deep expertise in applied deep learning , particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation.

Strong proficiency in Python and deep learning frameworks (PyTorch preferred).

Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks.

Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up, not just improve existing ones.

Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact.

Strong cross-functional instincts , you're comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution.

Bonus skills include experience applying graph ML or social network signals (social affinities, community behavior) to recommendation or personalization problems, familiarity with personalized marketing systems: lifecycle targeting, audience segmentation, and campaign optimization, and familiarity with loyalty, rewards, or incentive programs.

XML job scraping automation by YubHub

Develop and execute manual and automated test plans, test cases, and test scripts for Software & Firmware products. Perform thorough functional, regression, and user acceptance testing Identify, document, and track software/firmware defects Collaborate with developers to debug issues and verify fixes Contribute to continuous improvement of testing methodologies

Bachelor's degree in Computer Science, Engineering, or related field 3+ years of experience in software quality assurance Familiarity with agile development methodologies Testing in Linux and Windows environment Attention to detail and ability to work in a fast-paced environment Experience with Git and common platforms like Github or Bitbucket Experience with bug tracking systems (e.g., JIRA, Bugzilla) Strong debugging, analytical and creative problem-solving skills Excellent communication and teamwork abilities Aptitude for learning, Good documentation skills Ability to adapt & contribute to changing priorities. Eligible to obtain and maintain an active U.S. Secret security clearance

Basic proficiency in Python Familiarity of automated testing frameworks such as Pytest Automated UI testing tools like Playwright or Selenium is a plus. Backend testing experience

US Salary Range $113,000-$149,000 USD

XML job scraping automation by YubHub

We're on the lookout for talented Mobile iOS Engineers who are passionate about creating amazing user experiences. In this role, you'll have the chance to dive into developing features that are not just functional but truly intuitive and enjoyable for our users. We want you to take ownership of scaling our shared services while keeping up with the latest in the iOS world. You'll work closely with teams across Product, Identity, Security, System Design, and Infrastructure, collaborating to build solutions that really make a difference.

If you're excited about building elegant, scalable apps and being part of a supportive, innovative mobile team, we'd love to hear from you!

About the Team:

At Gusto, we're excited to be at a pivotal moment in our journey with over 1M+ monthly active users and the recent launch of our employer experiences on mobile. Our mission is to tackle the real challenges faced by small business owners and their employees, and we believe that mobile is key to delivering impactful solutions. As part of our mobile team, you'll be at the forefront of this transformation, working alongside talented engineers and designers who are passionate about creating a seamless mobile experience. Together, we're building a platform that empowers everyone,small business owners and their teams,to thrive.

Here's what you'll do day-to-day:

• Architect, build, test, and refine Gusto's native iOS app, along with supporting mobile web views that enhance user experience.
• Develop, iterate, and improve product features that integrate core business functions, work tools, value-added services, and financial products.
• Collaborate closely with our product management, design, and partner teams to identify technical and customer pain points, brainstorm solutions, and then prototype, iterate, and launch those solutions.
• Work cross-functionally with teams in product apps, identity, security, design systems, and infrastructure to deliver world-class experiences right into our customers' hands.
• Build and scale essential services, such as push notification systems and localization features, to enhance app functionality.
• Enhance and maintain our iOS mobile infrastructure, including build pipelines, testing automation, and the release process, to ensure smooth operations.

Here's what we're looking for:

• A minimum of 6 years of experience in Swift and iOS software engineering, with at least 8 years in mobile software engineering overall.
• Excellent communication skills and a knack for building strong cross-functional partnerships.
• A self-driven mindset with the ability to tackle greenfield projects and bring innovative ideas to life.
• Proficiency in iOS testing frameworks and a solid understanding of best practices.
• Experience in developing platform components and common features that enhance scalability, consistency, and maintainability throughout the product development lifecycle.
• Strong critical thinking abilities and a keen attention to detail.
• A willingness to learn continuously and a passion for mentoring others on the team.

XML job scraping automation by YubHub

As a Senior Full Stack Engineer, you'll design, build, and maintain end-to-end web solutions , from modern UIs to backend services, APIs, and infrastructure. You'll collaborate with design, brand, marketing, and content teams to deliver seamless, performant experiences across web and mobile. You'll develop backend logic and APIs, manage data flows, and implement systems that integrate with third-party platforms.

You'll optimize website performance by applying best practices in front-end development, including lazy loading, and efficient asset management. You'll set up and manage infrastructure using tools like Vercel, AWS, Cloudfront, Terraform, and CI/CD pipelines (e.g., CircleCI). You'll implement and maintain web analytics, and support A/B testing for data-driven decisions.

You'll stay current with emerging technologies and trends to continually improve our development processes and user experience. You'll be comfortable writing backend software. We look for engineers to be able to unblock themselves end to end.

You'll build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

XML job scraping automation by YubHub

About the Position

As a Data Scientist on the platform prediction team, you will translate our probability of success predictions into measurable portfolio-level outcomes. You will architect core systems that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.

This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.

Responsibilities

• Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking
• Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes
• Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources
• Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines
• Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders
• Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization

About You

We are looking for a highly motivated and experienced Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-quality results in a fast-paced environment.

Requirements

• MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)
• 1-3 years in a quantitative research, data science, or analytics role , finance, healthcare, academic research, or consulting all count; substantive internships qualify
• Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)
• Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison
• Demonstrated ability to work with messy, real-world datasets , comfortable with data wrangling, deduplication, and quality assessment
• Clear communicator who can present quantitative results to both technical peers and business stakeholders

Preferred Qualifications

• Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)
• Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)
• Familiarity with alternative data in a research or investment context
• Experience with probability-of-success modeling, drug development decision analysis, or health economics
• Comfort with LLMs or AI/ML pipelines in a production or research setting
• Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)

Total Compensation Range: $154,500 - $202,000

**Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!

**Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.

XML job scraping automation by YubHub

We're at a pivotal time in transforming our testing approach and development experience to enable engineers to deliver high-quality code efficiently and with confidence. Developer Experience currently has six, globally distributed teams of Backend Engineers and Software Engineers in Test.

This role will work across the entire group to help us identify and remove the biggest points of friction that affect development at GitLab. Expect to split your time between hands-on coding in Ruby and Go, designing scalable solutions and helping every team deliver.

You'll be instrumental in shaping our engineering culture across GitLab. This is a highly visible role with strong company-wide support. You'll be instrumental in shifting our culture and practices toward a cohesive Developer Experience Platform strategy,backed by buy-in and appetite for change.

Some examples of our projects include:

Identifying and removing the source of flakiness in our tests pipelines Introducing comprehensive test coverage reporting to guide our decisions about what and when to test Standardizing logging libraries and documentation to make it easy for all features and components to provide consistent logs Providing stable, configurable development environments

What You'll Do:

Drive Technical Excellence Across Teams: Provide hands-on engineering contributions and technical leadership across six Developer Experience teams, jumping in to unblock critical work or accelerate high-impact initiatives Champion Engineering Needs: Partner with engineering teams across GitLab to identify pain points, gather feedback, and translate day-to-day frustrations into actionable improvements for the Developer Experience roadmap Transform Testing at Scale: Help us modernize our testing to support GitLab's growth,ensuring engineers have fast, reliable tools that catch issues early without slowing them down Optimize CI/CD Pipelines: Reduce merge and CI friction by building workflows that deliver fast, actionable feedback,helping engineers iterate confidently and ship faster Break Down Systemic Bottlenecks: Collaborate with Platform, Product, and Infrastructure teams to identify and eliminate the architectural and process friction that slows down development Shape Engineering Culture: Foster a culture of continuous learning, inclusion, and improvement,where great developer experience is a shared value across the organization

What You'll Bring:

Deep experience with developer tooling, DevEx strategies, and testing frameworks at scale Experience leading platform or transformation initiatives across multiple teams Proven ability to influence without authority and collaborate across functions Familiarity with DevOps workflows and CI/CD pipelines Strong written and verbal communication skills in a remote-first environment A product mindset with a passion for empowering developers Alignment with GitLab values, especially collaboration, iteration, and transparency

The base salary range for this role's listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits.

XML job scraping automation by YubHub

You'll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices.

Day to day, you'll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure.

You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior.

CoreWeave is looking for a talented software engineer to join our Observability team. You will be responsible for designing, building, and maintaining scalable systems that process and surface telemetry data across distributed environments.

The ideal candidate will have experience with Go and Python, as well as a strong understanding of system reliability and observability best practices.

In addition to your technical skills, you should be able to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

If you're passionate about building scalable systems and improving system reliability, we'd love to hear from you!

XML job scraping automation by YubHub

As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable.

Responsibilities:

• Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem
• Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications
• Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
• Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
• Implement automated testing, deployment, and rollback systems for ML models in production safety applications
• Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
• Contribute to the development of internal tools and frameworks that accelerate safety research and deployment

You may be a good fit if you:

• Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment
• Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
• Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes)
• Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
• Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems)
• Are results-oriented, with a bias towards reliability and impact in safety-critical systems
• Enjoy collaborating with researchers and translating cutting-edge research into production systems
• Care deeply about AI safety and the societal impacts of your work

Strong candidates may have experience with:

• Working with large language models and modern transformer architectures
• Implementing A/B testing frameworks and experimentation infrastructure for ML systems
• Developing monitoring and alerting systems for ML model performance and data drift
• Building automated labeling systems and human-in-the-loop workflows
• Experience in trust & safety, fraud prevention, or content moderation domains
• Knowledge of privacy-preserving ML techniques and compliance requirements
• Contributing to open-source ML infrastructure projects

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

XML job scraping automation by YubHub

This position is needed to partner in driving a scalable, holistic web analytics implementation strategy while maintaining data integrity of existing setup, ultimately ensuring Twilio.com web tracking capabilities continue to grow, are utilized by the company, and are accurate + reliable. The ideal candidate collaborates with several cross-functional teams at Twilio such as UX, CRO, Web Strategy, Web Dev, Demand Gen, SEO, Content+ more to deliver scalable and easy-to-use web analytics solutions and insights.

As a subject matter expert in this space, you will grow your presence company-wide and eventually own relationships cross-functionally.

We are looking for someone with proven experience in GA4 implementation, business/marketing analytics reporting, analysis and stakeholder communications.

Responsibilities:

Work closely with the Web team to deliver desired web analytics tracking for business stakeholders Own and maintain a holistic GA/web analytics strategy, implementation, troubleshooting, documentation + enablement Brainstorm with technical and non-technical stakeholders on creative ways to meet data requirements, while balancing site performance, holistic tagging strategies, and expanded data capabilities Drive continual web analytics capability improvements, and maintain high standards for data integrity Own and share recurring monthly and adhoc analysis, deep dives, storytelling to uncover the 'so what' - providing actionable insights and recommendations across site, page, channel and A/B testing performance Strategize and build scalable solutions that support company-wide enablement and the utilization of web analytics for data-driven decision-making Partner with our CDP SMEs to orchestrate a unified data strategy, maximizing the integration between our CDP and Google Analytics to drive a 360-degree view of the customer journey

Qualifications:

• 5 years of experience in web analytics
• Expertise in Google Analytics 4, both implementation and analysis.
• Strong knowledge of JavaScript, HTML, and browser dev tools.
• Hands-on experience with Google Tag Manager (GTM)
• Familiarity with A/B and multivariate testing frameworks, as well as web personalization
• Strong communication skills with the ability to communicate effectively with both technical and non-technical audiences
• Detail-oriented with a passion for clean, trustworthy data.
• Strong analytical skills with a track record of independently exploring data, delivering insights, storytelling, and actionable recommendations.
• Excellent collaborator across cross functional teams; skilled in managing stakeholder projects
• Highly reliable and accountable.
• A self-starter.
• Interest or experience in applying AI-driven solutions to analytics workflows.

Desired:

• Familiarity with Big Query, Adobe AEM, Adobe Target
• Interest or exposure to fraud monitoring tools and processes.
• Experience with Looker Studio, Tableau, or other BI tools.
• Working knowledge of Customer Data Platforms (CDPs) and analytics data integrations.
• A deeper understanding of:

First party and third party cookies Cross domain tracking (including the limitations of web protocols and UTM strategies) Tagging and tracking strategies (e.g., when to use Segment → GA4 vs. GTM → GA4 for optimal efficiency) Ad pixel setup and utms deployment strategies

Travel:

We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.

What We Offer:

Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Compensation:

*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows:

Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $106,320 - $132,900. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $112,560 - $140,700. Based in the San Francisco Bay area, California: $125,040 - $156,300.

This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.

Application deadline information:

Applications for this role are intended to be accepted until April 30, 2026, but may change based on business needs.

Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions.

Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

XML job scraping automation by YubHub

You will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.

Your expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.

This role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.

As a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.

You will teach the models how quantitative traders reason, model markets, evaluate signals, manage risk, and interact with complex financial data and systems.

This involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.

We are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.

Quantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.

The role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.

All outputs are considered work-for-hire and owned by xAI.

XML job scraping automation by YubHub

As the Engineering Lead for Consumer Subscriptions (X Premium & SuperGrok), you will own the entire billing and monetization infrastructure powering one of X's fastest-growing revenue organizations.

Responsibilities

• Own the complete billing infrastructure for consumer subscriptions end-to-end, ensuring world-class reliability, security, and scalability.
• Design and build sophisticated promotional offer infrastructure and internal tools to supercharge the revenue organization.
• Develop comprehensive communications systems enabling intelligent push, email, and in-app messaging that drive engagement and conversions.
• Implement market-specific billing methods and compliance solutions to accelerate global expansion.
• Architect compelling product bundles across the X ecosystem tailored to different markets and consumer needs.
• Build intelligent models and systems that serve the right messages, offers, and information to users at the optimal time.
• Recruit, build, and lead a high-performing Consumer Subscriptions engineering team.
• Hands-on ownership and development of key features for X Premium and SuperGrok products.

Basic Qualifications

• Exceptional software engineering background with deep experience building large-scale, high-stakes systems (billing, payments, or transactional platforms preferred).
• Proven ability to lead technical initiatives and influence or directly manage engineering teams.
• Strong track record delivering complex backend systems for consumer applications at scale.
• Passion for revenue-generating products and creating exceptional user experiences.

Preferred Skills and Experience

• 5+ years of experience working on large-scale consumer applications, ideally in monetization, subscriptions, or fintech.
• Experience leading engineering efforts in a fast-paced, high-growth environment.
• Expertise in distributed systems, global payments infrastructure, personalization engines, or A/B testing frameworks.
• Proficiency with high-performance languages and tools such as Go, Python, Java, Rust, or similar.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

XML job scraping automation by YubHub

Beyond hands-on development, you will serve as a technical leader: guiding component architecture, mentoring engineers, and driving initiatives that raise the bar for UI quality and frontend engineering practices. This role requires strong ownership, deep problem-solving skills, and excellent communication. You will operate in a small, highly collaborative team where clarity, accountability, and impact matter.

Hands-on experience building AI-powered features and using AI tools to improve engineering productivity is required.

Key Responsibilities:

• Lead by example: contribute high-quality React code and set the standard for frontend craftsmanship across the platform
• Shape architecture: design scalable component systems, state management patterns, and frontend infrastructure that support long-term growth
• Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving
• Own complex problems: drive investigation, debugging, and resolution of performance, rendering, and scalability challenges
• Drive execution: translate product and design requirements into clear technical designs and well-scoped Jira tickets
• Collaborate cross-functionally: work closely with product, design, and backend partners to deliver impactful, end-to-end solutions
• Establish best practices: improve standards around code quality, accessibility, performance, and reliability
• Champion improvement: introduce new tools, patterns, or approaches , including AI-enabled workflows , where they add real value

Requirements:

• 7+ years of professional software engineering experience, with a strong focus on building and owning modern frontend applications
• Deep expertise in React and modern JavaScript/TypeScript, including component architecture, state management, and frontend application design
• Experience using AI-assisted development tools such as Claude Code or Cursor to accelerate frontend development and improve engineering productivity
• Strong product and design sensibility, with a high bar for UI quality, usability, consistency, and craft
• Proven track record designing frontend architectures that scale across teams, products, and complex user workflows
• Strong knowledge of performance optimization, accessibility, responsive design, and modern frontend best practices
• Deep debugging and problem-solving skills in browser-based applications, with the ability to quickly identify and resolve issues across frontend-backend boundaries
• Proficiency with GitHub-based development workflows, including pull requests, code review practices, branching strategy, and CI/CD automation using GitHub Actions
• Ability to work effectively with backend systems and APIs, contributing where needed while keeping frontend excellence as the primary focus
• Experience as a technical leader who can drive frontend direction, mentor engineers, and raise the quality bar across the team
• Excellent communication skills and the ability to work closely with design, product, and engineering partners

Nice to Have:

• Experience building or integrating AI-powered features
• Familiarity with LangGraph, LangChain, or similar agent-based frameworks
• Experience with data-rich UIs: dashboards, analytics, or complex data visualization
• Background in design systems or shared component libraries
• Experience with Cypress or end-to-end testing frameworks
• Background in DevOps and CI/CD practices

Within Your First 6 Months:

• 1 Month , Ramp up on systems, ship initial contributions, and build context across the platform and team.
• 3 Months , Own features end-to-end, mentor peers, and influence frontend architecture decisions.
• 6 Months , Lead a major frontend initiative, establish guardrails, and raise the bar on performance, scalability, and engineering practices , including thoughtful use of AI where valuable.

Our Values:

• Humble experts
• Hungry for the opportunity
• Intellectually honest
• Operating as one happy team

Awesome Benefits:

• Discretionary time off & sick days
• Paid holidays
• Health insurance
• 401(k) with employer matching
• Quarterly All-Hands meetings
• And much more!

We are proud to be an equal opportunity workplace committed to building a team culture that celebrates learning, diversity and inclusion.

XML job scraping automation by YubHub

Responsibilities:

• Develop, document, and execute comprehensive test plans and test cases for various software applications.
• Identify, record, and track bugs and defects in a systematic manner.
• Work with the development team to reproduce issues, identify root causes and suggest solutions.
• Perform various types of testing, including functional, regression, integration, and performance testing.
• Participate in requirement gathering sessions and provide insights to improve product quality.
• Ensure compliance with quality assurance standards and best practices.
• Continuously assess existing testing processes and recommend improvements.
• Assist in the development of automation testing scripts where applicable.

Requirements:

• Proven experience in a Quality Assurance role, preferably in the software development industry.
• Strong understanding of the software development lifecycle and testing methodologies.
• Experience with test case design, execution, and bug tracking tools (e.g., JIRA, Bugzilla).
• Familiarity with automation testing frameworks and tools (e.g., Selenium, Cypress) is a plus.
• Solid analytical and troubleshooting skills with attention to detail.
• Excellent written and verbal communication skills to clearly convey quality-related issues.
• A degree in Computer Science, Information Technology, or a related field is preferred.
• Strong teamwork and collaboration skills to work effectively with developers and product managers.

Benefits:

• 31 days of annual leave per year (inc. national holidays)
• Health and Dental Insurance
• HKD$10,000 L&D allowance per year
• Regular team socials (office and out of office)
• Great office locations

XML job scraping automation by YubHub

Your primary goal will be to identify bugs, ensure compliance with industry standards, and improve the user experience across our platforms. You will collaborate closely with developers and product managers to understand requirements, create test cases, execute tests, and provide feedback to stakeholders. Strong attention to detail and a commitment to delivering high-quality products are essential for this position.

Responsibilities

• Develop, document, and execute comprehensive test plans and test cases for various software applications.
• Identify, record, and track bugs and defects in a systematic manner.
• Work with the development team to reproduce issues, identify root causes and suggest solutions.
• Perform various types of testing, including functional, regression, integration, and performance testing.
• Participate in requirement gathering sessions and provide insights to improve product quality.
• Ensure compliance with quality assurance standards and best practices.
• Continuously assess existing testing processes and recommend improvements.
• Assist in the development of automation testing scripts where applicable.

Requirements

• Proven experience in a Quality Assurance role, preferably in the software development industry.
• Strong understanding of the software development lifecycle and testing methodologies.
• Experience with test case design, execution, and bug tracking tools (e.g., JIRA, Bugzilla).
• Familiarity with automation testing frameworks and tools (e.g., Selenium, Cypress) is a plus.
• Solid analytical and troubleshooting skills with attention to detail.
• Excellent written and verbal communication skills to clearly convey quality-related issues.
• A degree in Computer Science, Information Technology, or a related field is preferred.
• Strong teamwork and collaboration skills to work effectively with developers and product managers.

Benefits

We're a fast-growing company within a rapidly developing industry. You'll be surrounded by super ambitious individuals who think really big.

• What we offer:
• 31 days of annual leave per year (inc. national holidays)
• Health and Dental Insurance
• HKD$10,000 L&D allowance per year
• Regular team socials (office and out of office)
• Great office locations

XML job scraping automation by YubHub

As a senior developer at BlackRock, you'll work for a leading financial company and be part of a team creating next-generation technology. You will be working as a key member of our core Private Markets technology team, based in London, and will be responsible for delivering high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles.

Your Responsibilities

• Work closely alongside the Engineering Lead to deliver on the technical strategy for your team.
• Collaborate directly with colleagues across Private Markets and the wider Aladdin organization to build and deliver market leading software at pace.
• Deliver high efficiency, high availability, concurrent and fault tolerant software systems using API-First principles.
• Collaborate with product managers, designers, and other stakeholders to understand requirements and translate them into technical specifications.
• Design, develop, and implement secure, scalable, and reliable micro-services to deliver client-facing applications using a Java backend and React frontend.
• Optimize performance and reliability through continuous testing, debugging, and refinement.
• Stay abreast of industry trends and emerging technologies to drive innovation and maintain a competitive edge, with a particular focus on AI.
• Provide technical leadership and mentorship to more junior developers, fostering a culture of learning and growth within the team.

Requirements

• A Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of professional experience in Java development, with a focus on building client-facing APIs or platforms
• Strong written and verbal communication skills, with experience managing and mentoring diverse teams.
• Knowledge of building applications using AI tooling and frameworks (e.g. LLMs, prompt engineering, vector databases).
• Experience integrating AI/ML services into backend systems and APIs.
• Familiarity with AI-driven development practices and tools for code generation and testing.
• Strong proficiency in Java and related frameworks (e.g. Spring Boot, Hibernate).
• Some experience in React or similar, and modern JavaScript/TypeScript.
• Solid experience with object-oriented design and applying standard design patterns
• Experience designing, building, and deploying scalable microservices using API-first principles with REST and/or gRPC.
• A strong appreciation for best practices, attention to detail, and building secure and stable systems.
• A collaborative mindset, with a drive to build high-quality software efficiently.
• Experience with API authentication and authorisation mechanisms (e.g. OAuth, JWT).
• Hand-on experience with engineering tools such as Git, Maven, unit and integration testing frameworks, and mocking libraries.
• Excellent problemsolving skills and attention to detail.
• Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial.
• Experience with message brokers such as Kafka a plus.
• A friendly, positive, and cando attitude.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

XML job scraping automation by YubHub

As a Senior Software Developer, you will play a key role in developing and maintaining the backend infrastructure that powers Renewal, our React Native mobile application. Your focus will be hands-on, delivering technical solutions using Azure Functions while ensuring reliability, scalability, and best practices across our cloud-based platform.

Reporting to the Senior Tech Lead, you will design and implement new features and services, as well as maintaining and improving our existing Azure-based infrastructure. You will ensure all changes are well-architected, thoroughly tested, and aligned with our technical standards.

Your opinion matters within your role - your peers will look to you as a technical expert within the team. You will make important architectural decisions that align with our infrastructure, and be able to explain these decisions clearly to both technical and non-technical team members.

Experience that will put you ahead of the curve

Core Requirements:

• C# and .NET (experience with Azure Functions specifically is highly desirable)
• Microsoft SQL Server / Azure SQL Database
• Azure Services (particularly Azure Functions, Azure Blob Storage, and Azure B2C)
• RESTful API design and development
• Experience with third-party API integrations (Salesforce experience is a plus)

Additional Valued Experience:

• JavaScript (ES6+) / TypeScript / Node.js
• Application monitoring practices, such as metrics, tracing and logging
• Performance optimisation and debugging techniques for serverless architectures
• Experience with testing frameworks (e.g. XUnit, Jest, MSTest)
• Experience of building software by a test-first approach (TDD, BDD)
• Experience with build & deployment pipelines (CI/CD) using Azure DevOps
• Knowledge of Modern Architecture (Serverless, Microservices, Eventing/Messaging)
• Understanding of authentication and authorization patterns (OAuth 2.0, OpenID Connect)
• Terraform experience

What's in it for you

This is a Remote based role

… Plus more great perks, which include;

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Wellbeing support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

Internal job family level

Technology 5

Who are we…

We’re Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

We’ve got ambitious plans that further build on our growth momentum and unlock new opportunities – and we’re looking for driven people who want to be a part of it!

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That’s why we’re building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It’s not just about what you bring to the table — it’s about making sure the table has room for everyone.

Because a diverse team isn’t just good for business. It’s the Future.

Find out more about Our Future, Our Responsibility on our website.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

#LI-Remote

XML job scraping automation by YubHub

We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.

We Are EA

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

Opportunity Ahead

Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

Key Responsibilities

• Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.
• Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.
• Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.
• Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.
• Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs
• Partner with product, business, and engineering to identify new data acquisition opportunities.
• Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
• Collaborate with data engineers and software engineer across teams to serve their data needs.
• Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)
• 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.
• Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.
• Strong understanding of experimentation design and A/B testing frameworks
• Expert proficiency in Python frameworks (PyTorch, Scikit-learn).
• Experience with model monitoring and drift detection
• Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).
• Strong communication skills with the ability to translate complex models into business impact.

Desirable Skills

• Experience in gaming analytics or player behaviour modelling
• Experience building recommendation or ranking systems
• Experience with cloud platforms (AWS/GCP/Azure)

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

XML job scraping automation by YubHub

The Quality Designer (QD) will join us on the SONAR team in a hybrid work schedule consisting of 5 onsite days weekly. SONAR is a centralized organization in EA focused on Production services. Our mission is to Safeguard the in-game player experience by validating the transition from Integration to Production and continuing into Live Service.

As a QD, you will be an important part of our development process and contribute to the quality of our games in a meaningful way. You will demonstrate a sound technical platform and game knowledge, have a quality-focused mindset and efficient partnership. The QD will also own test coverage on client and server releases, ensuring accurate results, and confirming the success of a release - running and outline retrospectives on Live Support.

Your Responsibilities

Quality Strategy and Test Planning

• Architect comprehensive test plans, including scope, scheduling, execution, and reporting.
• Integrate telemetry, data analytics, and AI/ML capabilities to enhance test insight.
• Implement automation opportunities across feature sets and workflows.
• Ensure test coverage supports rapid iteration and high-quality live releases.

Strategic Quality Leadership

• Define and lead Live Quality strategies across multiple projects.
• Collaborate with product owners and technical leads to identify risks and develop mitigation plans.
• Influence teams to adopt best practices in quality assurance and live service testing.
• Guide agreement on quality goals across distributed teams and partners.

Data-Driven Quality Analysis

• Summarize data from diverse sources into applicable insights.
• Translate metrics into strategic decisions that improve player experience and release stability.
• Champion the use of risk-based and data-driven testing methodologies.

Cross-Team Collaboration and Communication

• Be the primary quality advocate in meetings.
• Communicate status, risks, and recommendations through clear, data-backed reporting.
• Foster relationships with partner teams across SONAR and EA franchises.
• Guide and support test execution teams across global locations.

Mentorship and Capability

• Mentor Associate Quality Designers and other team members in quality strategy.
• Lead knowledge-sharing programs and process improvements across the Live QV team.
• Promote a culture of learning, innovation, and excellence in quality practices.

Our Requirements

Experience

• 5+ years experience in software development, quality assurance, or game development.
• Experience leading quality programs and collaboration.
• Proficiency with automated testing frameworks and tools.
• A background in defect prevention, containment, and early QA involvement.
• Experience with telemetry, data analytics, or AI/ML in testing.
• Familiarity with back-end systems and server hosting infrastructure.

Skills

• Proclivity for planning
• Data analysis
• Influence across teams
• Mentorship and leadership capabilities
• Expertise in defect management and quality metrics
• Proficiency with tools such as JIRA, TestRail, and automation platforms

EA Bogota Benefits

• Health Benefits - Medical insurance, dental insurance, life insurance, global fitness benefit ($500 USD per year), and mental wellbeing plan.
• Professional Development - Training and development programs, opportunities for career advancement and tuition reimbursement
• Work-Life Balance - 15 vacation days, paid holiday closure and paid sick leave
• Meaningful Work - Opportunity to directly contribute to the development of EA titles
• Additional Perks - Meal card ($400,000 COP per month), game credits and console reimbursement program
• and more!

About Electronic Arts

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

XML job scraping automation by YubHub

Job Responsibilities

• Design, develop, and maintain scalable and performant web applications using modern frontend frameworks.
• Translate wireframes and mockups into responsive and accessible UI components.
• Collaborate with UI/UX designers to ensure consistent design language.
• Participate in requirement gathering, scope definition, and sprint planning.
• Write clean, maintainable, and testable code.
• Develop and maintain unit tests and E2E tests to ensure code reliability.
• Lead code reviews and drive continuous improvement of development practices.
• Plan and allocate resources effectively across multiple projects.
• Mentor junior engineers and foster a culture of technical excellence.
• Support CI/CD workflows and deployment processes.

Required Qualifications

• Proficient in HTML, CSS, JavaScript, and modern frontend development principles.
• Strong hands-on experience with Vue.js (preferably v3) and component-based architecture.
• Experience with Nuxt.js for building SSR and SPA applications.
• Familiarity with responsive design and mobile-first development.
• Skilled in CSS frameworks (e.g., Tailwind, Bootstrap) and pre-processors (SASS/LESS).
• Experience with build tools like Vite or Webpack.
• Establish best practices for code quality, testing, and deployment.
• Proficient in frontend testing frameworks such as Playwright and Vitest.
• Strong experience writing unit tests and E2E tests for frontend components and business logic.
• Understanding of Git, version control workflows, and CI/CD pipelines.
• Ability to plan, allocate, and manage engineering resources effectively across projects.
• Proven experience mentoring junior engineers and leading small teams.
• Strong communication skills in English and Mandarin.

Bonus Skills

• Experience with E2E testing frameworks (Playwright preferred).
• Familiarity with Agile methodologies.
• Knowledge of performance optimisation and SEO best practices.
• Familiarity with Google Analytics and Google Tag Manager.
• Understanding of Web Accessibility Initiative (WAI) standards.

XML job scraping automation by YubHub

We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale.

Responsibilities:

• Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem
• Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications
• Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
• Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
• Implement automated testing, deployment, and rollback systems for ML models in production safety applications
• Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
• Contribute to the development of internal tools and frameworks that accelerate safety research and deployment

You may be a good fit if you:

• Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment
• Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
• Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes)
• Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
• Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems)
• Are results-oriented, with a bias towards reliability and impact in safety-critical systems
• Enjoy collaborating with researchers and translating cutting-edge research into production systems
• Care deeply about AI safety and the societal impacts of your work

Strong candidates may have experience with:

• Working with large language models and modern transformer architectures
• Implementing A/B testing frameworks and experimentation infrastructure for ML systems
• Developing monitoring and alerting systems for ML model performance and data drift
• Building automated labeling systems and human-in-the-loop workflows
• Experience in trust & safety, fraud prevention, or content moderation domains
• Knowledge of privacy-preserving ML techniques and compliance requirements
• Contributing to open-source ML infrastructure projects

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing the state of the art in AI safety and making a meaningful difference in the world.

XML job scraping automation by YubHub

As an Enterprise Product Engineer at Cursor, you'll architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.

You may be a fit if

You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use.

Responsibilities

• Architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.
• Collaborate with cross-functional teams to define and deliver product roadmaps that meet business objectives.
• Analyse customer needs and develop solutions that meet their requirements.
• Work closely with the design team to create user-centred products that are both functional and aesthetically pleasing.
• Develop and maintain high-quality code that is scalable, maintainable, and efficient.
• Participate in code reviews to ensure that the codebase is of the highest quality.
• Stay up-to-date with the latest technologies and trends in the industry.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a recognised leader in the AI industry.
• Collaborative and dynamic work environment.
• Flexible working hours and remote work options.
• Access to the latest technologies and tools.
• Opportunities for professional growth and development.

What we're looking for

• 3+ years of experience in software development, preferably in a product engineering role.
• Strong understanding of software development principles, patterns, and best practices.
• Experience with Agile development methodologies and version control systems.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Experience with cloud-based technologies and containerisation.
• Familiarity with machine learning and AI concepts.
• Experience with design thinking and user-centred design.
• Strong understanding of security principles and best practices.
• Experience with DevOps practices and tools.
• Familiarity with testing frameworks and methodologies.
• Experience with continuous integration and continuous deployment.
• Strong understanding of scalability and performance optimisation.
• Experience with monitoring and logging tools.
• Familiarity with containerisation and orchestration.
• Experience with cloud-based storage and databases.
• Familiarity with security frameworks and best practices.
• Experience with compliance and regulatory requirements.
• Familiarity with industry standards and best practices.

Preferred skills

• Experience with Python, Java, or C++.
• Familiarity with cloud-based platforms such as AWS or Azure.
• Experience with containerisation and orchestration tools such as Docker and Kubernetes.
• Familiarity with machine learning and AI frameworks such as TensorFlow or PyTorch.
• Experience with design thinking and user-centred design tools such as Sketch or Figma.
• Familiarity with testing frameworks and methodologies such as JUnit or PyUnit.
• Experience with continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Familiarity with monitoring and logging tools such as Prometheus or Grafana.
• Experience with security frameworks and best practices such as OWASP or NIST.
• Familiarity with compliance and regulatory requirements such as GDPR or HIPAA.
• Experience with industry standards and best practices such as ISO 27001 or PCI-DSS.

Salary range

£80,000 - £120,000 per annum.

Category

Engineering.

Industry

Technology.

Experience level

Mid.

Employment type

Full-time.

Workplace type

Remote.

Required skills

• Software development principles, patterns, and best practices.
• Agile development methodologies and version control systems.
• Problem-solving skills and attention to detail.
• Communication and collaboration skills.
• Cloud-based technologies and containerisation.
• Machine learning and AI concepts.
• Design thinking and user-centred design.
• Security principles and best practices.
• DevOps practices and tools.
• Testing frameworks and methodologies.
• Continuous integration and continuous deployment.
• Scalability and performance optimisation.
• Monitoring and logging tools.
• Containerisation and orchestration.
• Cloud-based storage and databases.
• Security frameworks and best practices.
• Compliance and regulatory requirements.
• Industry standards and best practices.

Preferred skills

• Python, Java, or C++.
• Cloud-based platforms such as AWS or Azure.
• Containerisation and orchestration tools such as Docker and Kubernetes.
• Machine learning and AI frameworks such as TensorFlow or PyTorch.
• Design thinking and user-centred design tools such as Sketch or Figma.
• Testing frameworks and methodologies such as JUnit or PyUnit.
• Continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Monitoring and logging tools such as Prometheus or Grafana.
• Security frameworks and best practices such as OWASP or NIST.
• Compliance and regulatory requirements such as GDPR or HIPAA.
• Industry standards and best practices such as ISO 27001 or PCI-DSS.

XML job scraping automation by YubHub

We're looking for a data-driven Sr. Growth Marketing Manager to own and optimize user acquisition and conversion across Replit's mobile app and website properties. You'll be responsible for driving top-of-funnel growth through App Store Optimization (ASO) and website conversion rate optimization (CRO) that turns visitors into engaged creators.

Responsibilities

Own mobile app growth and App Store Optimization (ASO)

• Lead ASO strategy to increase visibility, discoverability, and conversion in the App Store and Google Play
• Optimize app store presence including metadata, keywords, screenshots, preview videos, ratings/reviews, and feature placements
• Analyze performance data to continuously refine messaging, creative, and store listing elements

Drive website conversion rate optimization (CRO)

• Own conversion optimization across Replit.com, including landing pages, product pages, and signup flows
• Establish rigorous A/B testing programs for web experiences to improve visitor-to-signup and signup-to-activation rates
• Collaborate with Design and Content teams to develop and test high-performing landing page variations

Build testing infrastructure and experimentation culture

• Partner with Product and Engineering to implement testing frameworks and tools for both mobile and web
• Develop hypotheses based on data analysis, user research, and competitive intelligence
• Document learnings and share insights across the organization to inform broader product and marketing strategy

Analyze, measure, and report on performance

• Build dashboards and reporting frameworks to measure mobile and web conversion performance
• Identify friction points and conversion drop-offs across mobile app install flows and website signup funnels
• Monitor competitive landscape and industry benchmarks to identify opportunities

What You'll Bring

• 10+ years of growth or performance marketing experience with significant focus on mobile app growth and website conversion optimization
• Deep expertise in ASO and website CRO, including A/B testing, metadata optimization, landing page optimization, and improving conversion rates across the funnel
• Hands-on experience with mobile measurement platforms and analytics tools
• Strong analytical skills with proven ability to establish testing cultures – you design experiments, interpret data, and run rigorous programs that deliver measurable results
• Experience partnering with Product and Engineering to implement tracking and optimize user experiences
• Creative problem-solver with bias for experimentation – you iterate constantly and aren't afraid to fail fast
• Experience marketing to non-technical audiences (creators, PMs, designers, business professionals) and optimizing for both B2C and B2B motions
• Background in SaaS products, developer tools, AI-powered testing tools, or high-growth tech companies is a plus

Benefits

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

Want to Learn More?

• Meet the Replit Agent
• Replit: Make an app for that
• Replit Blog
• Amjad TED Talk

Interviewing + Culture at Replit

• Operating Principles
• Reasons not to work at Replit

Compensation Range

$165K - $215K

XML job scraping automation by YubHub

The role combines the technical depth needed to navigate a complex monorepo with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery.

Additionally, you will be a key decision maker in the Agent's default stack (Vite + React + Express) and will help the AI team with strategies to improve the Agent's output and stack.

This is a first hire in this area, so you will automatically be in a position of leadership and have an accelerated career path as the team undoubtedly grows.

Responsibilities:

• Maintain and evolve a complex monorepo structure spanning frontend, backend, npm packages, and tooling.
• Own the build pipelines and optimize them to minimize build times and improve developer iteration speed.
• Improve and oversee code generation such as GraphQL and Protocol Buffers to ensure our code is type safe.
• Set the standards for code quality using automation tools such as TypeScript, Prettier and Eslint, building custom rules and plugins to enforce Replit-specific requirements.
• Streamline local development setup and onboarding experience.
• Work with platform teams to improve deployment processes, infrastructure integrations, and external tooling.
• Keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools.
• Help manage dependencies both internal (public and private) and external, including being the face of the company when interfacing with open-source libraries such as when it comes to sponsorships.

Requirements:

• Expertise in TypeScript build systems such as Vite, TypeScript, webpack, and so on.
• Proficiency with ESLint, Prettier, testing frameworks, and code generation tools.
• Experience managing monorepos or large-scale codebases

Benefits:

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

XML job scraping automation by YubHub

Location

San Francisco; New York City; Remote - US; Seattle

Employment Type

Full time

Location Type

Hybrid

Department

IT

Compensation

• San Francisco, Seattle or New York City $230K – $385K • Offers Equity
• Zone A $207K – $346.5K • Offers Equity
• Zone B $184K – $308K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research.

About the Role

As a Software Engineer on the Identity Infrastructure Engineering team, you’ll be instrumental in creating, deploying, and operating foundational security tools and infrastructure. You will work with a broad range of technologies to support multi-cloud deployments, ensuring that researchers and engineers can safely build, test, and scale transformative AI systems. The role requires a balance of strong technical depth, cross-functional collaboration, and a passion for embedding secure-by-default principles into every layer of our stack.

Responsibilities

• Build new features for our IAM platform that seamlessly integrate with evolving cloud services, enabling teams to work efficiently while adhering to security best practices.
• Drive security innovation by designing tools, processes, and architectures that protect data at scale and reinforce a secure development culture across the organization.
• Collaborate cross-functionally with researchers, engineers, and compliance teams to address security requirements for multi-cloud deployments, large-scale model training, and emerging AI use cases.
• Implement and refine access policies that strike the right balance between enabling rapid experimentation and protecting high-value assets, including model weights and customer data.
• Troubleshoot complex identity or access issues across distributed systems, ensuring minimal downtime and a safe environment for AI research and product teams.

Requirements

• A background in building secure systems—from core IAM services to orchestration layers that manage credentials, roles, or policies at scale.
• Proficiency in programming languages such as Python, Go, or similar, with a track record of writing high-quality, maintainable code.
• Experience with modern cloud infrastructure (AWS, Azure, GCP) and familiarity with industry-standard security protocols (OAuth, SAML, OpenID Connect) and authentication/authorization patterns.
• A security-focused mindset, with knowledge of threat modeling, risk assessment, and the ability to embed security features throughout the software development lifecycle.

Nice to Have

• Experience with containerization (Docker, Kubernetes) and orchestration tools (e.g., Terraform, Ansible).
• Familiarity with CI/CD pipelines and automated testing frameworks.
• Knowledge of machine learning and AI concepts, including model training, deployment, and security.
• Experience with cloud security services (e.g., AWS IAM, Azure Active Directory).
• Familiarity with DevOps practices and tools (e.g., Jenkins, GitLab).

What You’ll Get

• Competitive salary and equity package
• Comprehensive benefits package, including medical, dental, and vision insurance
• 401(k) retirement plan with employer match
• Paid parental leave and medical/caregiver leave
• Flexible PTO and paid holidays
• Professional development opportunities
• Collaborative and dynamic work environment

How to Apply

If you’re passionate about building secure systems and contributing to the development of cutting-edge AI technology, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and any relevant work samples or projects you’d like to share. We can’t wait to hear from you!

XML job scraping automation by YubHub

Seattle; San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $325K – $385K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products, including next-generation ads experiences that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for a Senior iOS Engineer to build the core mobile monetization experiences and iOS foundations that power how users sign up, manage their account, access family features, pay for services, and interact with monetized experiences safely and confidently across OpenAI’s mobile apps.

This is a 0→1, greenfield opportunity: you’ll help define the architecture, primitives, and reusable frameworks that product teams depend on to ship quickly while meeting the highest standards for security, reliability, privacy, and user trust. You’ll partner closely with backend, product, design, safety, and research to translate evolving requirements into high-quality iOS systems and experiences.

In this role, you will:

• Build and ship new monetization experiences on iOS, including purchase flows, subscription/plan management, and monetization-adjacent surfaces that showcase the power of AI.
• Design and maintain shared iOS frameworks and primitives for account, trust, and commerce flows used across OpenAI’s mobile apps (e.g., identity, entitlements, payments, policy-aware UX).
• Own complex client-side systems spanning UI, networking, local state, observability, and Apple platform integrations (StoreKit, Sign in with Apple, device security primitives, etc.).
• Optimize performance, reliability, and responsiveness for global-scale usage, including robust offline/poor-network handling and safe rollout strategies.
• Establish and evolve testing frameworks (unit, integration, snapshot/UI, and end-to-end) and refine architecture for long-term maintainability.
• Collaborate deeply with Product, Design, Research, and backend teams to translate ambiguous goals into durable systems and delightful experiences.
• Help uphold the highest levels of safety, privacy, fairness, and policy compliance across monetization experiences.
• Provide technical leadership through architectural reviews, mentoring, and setting engineering standards across iOS monetization foundations.

You might thrive in this role if you

• Have 4+ years of professional software engineering experience with significant iOS ownership.
• Have a proven track record shipping high-quality iOS apps in production for business-critical, reliability-sensitive systems.
• Are fluent in Swift and experienced with Apple’s ecosystem (Xcode, SwiftUI).
• Have owned complex mobile systems end-to-end (architecture, delivery, instrumentation, quality, and operations).
• Care deeply about performance, security, privacy, and user experience, especially in flows involving identity and payments.
• Thrive in 0→1 environments where systems, architecture, and user experiences must be defined from scratch.

XML job scraping automation by YubHub

What you'll do

• Designing, developing, and maintaining robust web applications using Angular, React, HTML, CSS, JavaScript, Node.js, NestJS, and Python.
• Architecting and implementing hybrid infrastructure solutions for both on-premise data centers and public clouds (Azure, AWS, GCP).

What you need

• Expertise in front-end development frameworks (Angular, React) and back-end technologies (Node.js, NestJS, Python).
• Proven experience developing and integrating RESTful APIs and managing databases.

XML job scraping automation by YubHub

What you'll do

Your general responsibilities will include:

• Implement and launch new landing pages that tell the ElevenLabs story and convert visitors into users.
• Collaborate with designers to translate Figma prototypes into fast, accessible, and delightful experiences.

What you need

• Deep expertise in React and Next.js, and are fluent in TypeScript.

XML job scraping automation by YubHub

What you'll do

• Assist with new feature ideation and assessing technical feasibility
• Design and develop data/logic systems to support and run new features

What you need

• 3+ years of experience implementing hybrid/web application development frameworks (e.g. Cordova/Ionic/PhoneGap, React Native, Xamarin, Electron)
• 3+ years of experience with mobile application development (e.g. Java, Objective-C, C#)
• 3+ years of experience building web based UI and animations (e.g. CSS3 Animations , WebGL, pixie JS)
• 3+ years of experience with web-based network communication (e.g. Fetch/XHR, XML, JSON, REST)
• Familiarity with unit testing frameworks (e.g. QUnit, Jest)

Why this matters

This role is a temporary Full-time (12 months) opportunity.

XML job scraping automation by YubHub