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Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Location: Remote Position Summary: OurScalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity.In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyondmaintaininginfrastructure,you'llarchitect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure-from application logs and metrics to distributed traces.You'llbuild production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, andoptimizetheir systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. Position Responsibilities: In this role,you'llown the observability infrastructure that powers our engineering organization. You will: • Architect observability platform: Design, implement, andmaintainthe LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience., • Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities., • Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost., • Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis., • Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics., • Balance cloud-native and open-source: Architect solutions that thoughtfullyleverageboth AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack,Quickwit) tooptimizefor cost, performance, and operational flexibility based on use case requirements., • Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure., • Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly., • Partner with engineering teams: Work directly with product teams to integrate observability into their services,establishlogging and metrics standards, and instrument code effectively, serving as the observability subject matter expert., • Enable performance optimization: Provide the observability foundation that allows the Scalability team toidentifyperformance bottlenecks, track optimization impact, and measure platform stability with data-driven insights., • Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices., • Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices., • Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning., • Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients., • 10+ years of software engineering or infrastructure engineering experience withdemonstratedprogression into technical leadership roles., • Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure., • Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services., • LGTM stackexpertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale., • AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns., • SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena,DuckDB, or similar query engines for analyzing structured and semi-structured data at scale., • Cloud-native and open-source balance:Demonstratedability to architect solutionsleveragingboth managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in., • Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines., • Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics)., • Systems thinking: Deep understanding of distributed systems,microservicesarchitectures, and the complex observability challenges they present., • Data at scale: Proventrack recordhandling high-volume structured and unstructured logging data,identifyingpatterns, and building efficient search/query solutions that perform well under load., • Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go., • Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources., • Additionalobservability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms., • Advanced query languages: DeepexpertisewithPromQL,LogQL, SQL optimization, and query optimization for high-cardinality data., • Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3., • Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements., • Cost optimization: Track record of reducing observability costs whilemaintainingor improving capabilities (e.g., CloudWatch S3/custom indexing migration)., • Data pipelines:Experience withstreaming data pipelines, ETL processes, or real-time data processing., • Distributed tracing: Deep knowledge ofOpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures., • Gitexpertiseand experience working in a mono repository., • PreviousPharmacy Benefits Manager (PBM) or healthcare technology experience. Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Salary Range$160,000—$220,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

Description Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater's media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community. Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. Read our ___ blog to see which problems our engineers are solving. Meltwater's Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers. We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. As a Machine Learning Engineer at Meltwater, you will own machine learning powered features from idea to production, working on systems that operate at massive scale. You should be comfortable with experimentation, collaboration, and real-world impact. What we're looking for: This role is ideal for candidates with a strong foundation in machine learning, data science, or applied research who enjoy experimentation and model-driven problem solving and who want to translate their work into real-world, production systems at scale. You are excited to grow your software engineering and production skills over time, while bringing strong foundations in experimentation, modeling, evaluation, and applied machine learning. Our team is organized over 3 objectives : innovation, research and production. Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products. Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks. Production: We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day. Responsibilities: • Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team., • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems, • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems, • Design, run, and iterate on machine learning experiments to improve model quality and product impact, • Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems, • Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems., • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems, • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems, • You'll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities, • Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring, • Experience building industry-scale user-facing ML/AI/Agentic applications, • Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes), • 2 - 5 years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research., • Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis, • Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems, • Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems, • You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength., • Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java), • Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve, • You are a team-player, self-learner and autonomous, • You will work with a team of passionate people who are always willing to help and learn from others, • You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business, • As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference, • Enjoy flexible paid time off that allows you to have an enhanced work-life balance., • Excellent medical, dental, and vision options, • 401(k) matching, life insurance, commuter benefits, and parental leave plans, • Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters., • Energetic work environment with a hybrid work style, providing the balance you need., • Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. When you'll join: May/June 2026 Our Story At Meltwater, we believe that when you have the right people in the right environment, great things happen. Our best-in-class technology empowers our 27,000 customers aroundthe world to make better business decisions through data. But we can't do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. Our award-winning global culture drives everything we do and createsan environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other's successes alongthe way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employees in 50 locations across25 countries around the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Our Team Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. Read our ___ blog to see which problems our engineers are solving. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world. We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws

This position is posted by Jobgether on behalf of Ava Labs. We are currently looking for a Senior Platform Engineer in New York, NY. Join a cutting-edge team driving the evolution of blockchain infrastructure with a focus on performance, reliability, and developer velocity. In this role, you will build the platforms and tools that empower core engineering teams to ship better code faster — from orchestrating ad-hoc blockchain networks to designing CI/CD pipelines and observability systems. You’ll operate at the intersection of systems engineering, infrastructure, and tooling, helping scale a distributed Web3 platform used globally. This is a highly impactful opportunity to build resilient systems that push the boundaries of decentralized technology. Accountabilities: • Design and maintain advanced CI/CD pipelines using GitHub Actions, ensuring robust, fast, and scalable deployments., • Develop tooling to enable the creation and management of ad-hoc Avalanche blockchain networks across local and distributed environments., • Build observability frameworks capable of collecting, analyzing, and comparing system performance across multiple versions and configurations., • Implement chaos engineering and fuzz testing to validate the stability and resilience of consensus algorithms and peer-to-peer protocols., • Contribute to performance optimization efforts through strategic data collection and automated analysis., • Collaborate across Platform Engineering to improve software quality and support large-scale development and testing initiatives., • Drive internal developer productivity by building platforms that enable reliable testing, debugging, and deployment workflows., • 10+ years of programming experience, with at least 4 years working in large, collaborative codebases., • 2+ years of experience with Go and/or Rust., • Strong foundation in computer science, systems engineering, and software reliability., • Proven experience building and maintaining CI/CD pipelines using GitHub Actions or similar tools (e.g., Jenkins, Travis CI, CircleCI)., • Experience writing end-to-end tests for complex distributed systems., • Familiarity with Infrastructure-as-Code and observability solutions at scale., • Deep understanding of Unix-based system programming and/or large-scale orchestration frameworks like Kubernetes., • Passion for building tools that multiply the impact of engineering teams., • Self-starter mindset with a balance of technical initiative and team collaboration., • Curiosity or interest in Web3 and blockchain technologies., • Competitive salary range: $214,990 to $228,427 (final offer may vary based on experience and location)., • Fully remote work flexibility., • Opportunity to work at the forefront of blockchain innovation with global impact., • Collaborative, high-caliber team environment., • Backing from top-tier investors including Andreessen Horowitz and Initialized Capital., • Inclusive and diverse workplace with equal opportunity hiring practices. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. • Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale., • Build an internal platform to empower LLM capability discovery., • Collaborate with researchers and engineers to integrate and optimize models for production and research use cases., • Conduct architecture and design reviews to uphold best practices in system design and scalability., • Develop monitoring and observability solutions to ensure system health and performance., • Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment., • 5+ years of experience building large-scale, high-performance backend systems., • Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++)., • Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.), • Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc., • Experience with containers and orchestration tools (e.g., Docker, Kubernetes)., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Candidates should have 3-5 years of systems-level programming experience, preferably with Rust, and a passion for improving developer experiences.

Job Description About the Role We're looking for an Ethereum developer with reth experience to join our team building a Bitcoin signing system for the Sova Network. Your knowledge of reth's architecture and Rust-based Ethereum client development is exactly what we need. You'll help us design validator nodes and network architecture for our distributed transaction signing system. This is a remote role, and we're flexible on part-time arrangements if that works better for you. Key Responsibilities • Help design and implement a secure key management system used by all validators in the Sova Network, • Apply your Ethereum client experience to our validator network architecture, • Collaborate with cryptography specialists on distributed transaction signing, • Contribute to development of secure upgrade paths for the signer service, • Experience with Ethereum execution clients, especially reth, • Proficient in systems programming languages (Rust preferred), • Understanding of blockchain validator networks, • Knowledge of applied cryptography, • Familiarity with threshold signature schemes, • Experience with Shamir's Secret Sharing Protocol, • Knowledge of Bitcoin transaction models, • Background in distributed systems security You'll be part of the team building a threshold signature system run by staked validators on our network. Your experience with reth will be invaluable in designing secure validator node architecture, even if you're not an expert in the cryptographic components like FROST or Distributed Key Generation (DKG) Protocol. In this role, you'll work with our team to build a prototype using three testnet validators, beginning with Bitcoin regtest transactions. Your Ethereum client development experience - particularly with reth - provides a strong foundation for understanding validator consensus mechanisms and secure network design that we can apply to our Bitcoin signing implementation. Comp $180-220K + 1%+ token (flexible)

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring for an experienced, driven Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets. Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility. Key Responsibilities • Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters., • Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases., • Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems., • Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust., • Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Solidity Expertise: 3+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection., • Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths., • DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols., • Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits., • Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns., • SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages. Preferred / Desirable Experience • Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm)., • Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants., • Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved., • RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems., • Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at this Role: We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of our Observability product. In this role, you will help shape the vision and direction on how customers monitor, troubleshoot and run their AI workloads effectively, at scale. You will have direct access to customers and work closely with engineering stakeholders across multiple teams to advance the development of our unified Observability experience across CoreWeave products. What You'll Do: • Lead the strategy and implementation for Observability, ensuring alignment with business goals and performance objectives., • Design and implement advanced solutions, including low-latency, high-scale Observability pipelines across all products., • Build solutions that offer insights to customers for rapid troubleshooting of their AI workloads., • Champion initiatives to improve the reliability, durability, and self-healing capabilities of Observability metrics, and assume operational responsibilities., • Help shape customer experience by promoting unparalleled visibility into our systems' performance and reliability with customer facing metrics and dashboards., • Analyze telemetry for production systems to identify opportunities for improvement in performance and reliability., • Develop operational review practices for storage engineering to assess performance against targets and iterating on those targets., • Act as a trusted advisor to senior leadership, providing insights on storage industry trends and advocating for investments in storage technologies., • Collaborate with engineering, infrastructure, and product teams to ensure storage solutions align with evolving project requirements and technical architecture., • Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.Who You Are:, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field., • 10+ years of experience in distributed systems, with a focus on reliability and scale., • Proven experience leading storage product engineering projects and building products to address customer needs., • Proficiency in one or more programming languages (e.g. Go, C, Rust)., • Good understanding of distributed observability systems such as ClickHouse for telemetry at scale., • Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation., • Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements., • Strong communication and interpersonal skills, able to convey storage engineering strategies and practices to technical and non-technical audiences. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - Crypto - this is a fully onsite role in NYC or London. As a Backend Engineer focused on data, youll design and scale our real-time data infrastructure at the forefront of crypto and social finance. You will: * Interact directly with Solana full nodes and RPC infrastructure to extract raw on-chain data at high throughput * Build and operate reliable pipelines that ingest blockchain data into ClickHouse (or other OLAP systems) for low-latency analytics * Maintain the accuracy, uptime, and performance of our analytics services, ensuring stakeholders always have trusted insights * Architect, ship, and own high-performance data solutions that power the worlds largest crypto social network * Solve complex challenges around data consistency, scale, and performance where innovation and efficiency are paramount * Collaborate with a world-class team of engineers and product leaders; own your work from concept to production Who You Are * An engineer with strong experience in any of: backend systems, data engineering, distributed systems, or high-performance computing * Passionate about building scalable platforms that handle massive data volumes and enable real-time insights * Experienced with databases, streaming systems, or analytics platforms (e.g., ClickHouse, TimescaleDB, or similar columnar/time-series databases) * Comfortable with Rust, Go, or other systems programming languages * A problem-solver who thrives in ambiguity and executes quickly * Ownership-driven, capable of leading features end-to-end with minimal guidance * Experienced in high-growth environments, startups, or fast-moving product teams where speed and impact matter * Excited to work alongside top-tier engineers and push the boundaries of how people interact with crypto * Familiarity with crypto, DeFi, or blockchain technologies Why Join Us? If you're the type who thrives in chaos, loves ambitious problems, and wants to build something game-changing, we want to hear from you. At our core, we believe in: Speed over perfection - ship now, iterate later Ownership over bureaucracy - every person here makes big decisions Talent density over headcount - we hire the best, no exceptions Building for the future - crypto moves fast, and so do we If you're ready to move fast, break things, and build the future, apply now.

Job DescriptionContractRemoteRole DescriptionAs an hourly paid, fully remote Rust Engineer for AI Data Training, you will review AI-generated Rust code and explanations or generate your own, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for correctness, safety, and adherence to the prompt; identify errors in ownership, borrowing, lifetimes, or algorithmic reasoning; fact-check information; write high-quality explanations and model solutions that demonstrate idiomatic Rust patterns; and rate and compare multiple AI responses based on correctness and reasoning quality. This role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the worlds largest AI companies and foundation model labs. Your work will directly help improve the worlds premier AI models while giving you the flexibility of impactful, detail-oriented remote contract work.Your Profile • 12+ years of professional Rust development experience in backend, CLI, or systems-focused projects., • Strong understanding of Rusts ownership, borrowing, and lifetime model, with the ability to reason clearly about aliasing and data races., • Solid software engineering experience in at least one of backend services, command-line tools, or systems programming using Rust., • Ability to evaluate safe, idiomatic Rust code, including appropriate use of traits, generics, pattern matching, and error handling., • Significant experience using LLMs or AI coding assistants while programming, combined with a disciplined approach to validating their output., • Excellent English writing skills, capable of producing precise, structured, and pedagogical technical explanations., • Minimum Bachelors degree in Computer Science or a closely related technical field., • Previous experience with AI data training, code review at scale, or evaluation of AI-generated technical content is strongly preferred; Minimum C1 English proficiency and an extremely detail-oriented working style are required., • Highly preferred: experience with Tokio, Actix, Serde, and async Rust patterns in production or advanced side projects., • Preferred: competitive programming experience, contributions to Rust open-source ecosystems, and demonstrated ability to reason about performance, concurrency, and correctness in Rust code.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job DescriptionCareer Renew is recruiting for one of its clients a Protocol Integration Engineer - this is a fully remote role for US based candidates or Canada/S America based candidates (if they can overlap with EST timezone) We are a stablecoin platform for builders. With us, developers can create their stablecoins in minutes by extending our superior digital-dollar building block, and customise attributes such as branding, compliance behaviours, and yield distribution mechanics. By extending $M into their own stablecoin, businesses can monetize their digital dollar use cases and maintain control over their money tech stack, while not being burdened by operational heavy-lifting. We are seeking an experienced Protocol Integration Engineer to join our growing team. In this role, you will enhance the growing set of $M Extensions projects, support partners' technical teams, improve existing products, and create and maintain comprehensive documentation. Key Responsibilities * Adjust existing Solidity and/or Rust(Solana) M Extensions Frameworks to the external partners' needs. * Maintain and enhance API/SDKs and Web3 infrastructure projects in TypeScript to meet partner needs. * Ensure consistency and quality of our partners' extensions and integrations. * Educate partners and their engineering teams about the core functionality of the M Extensions Frameworks. * Write comprehensive documentation, test suites, and deployment scripts. * Participate in code and design reviews to ensure quality, security, and performance. Qualifications * Strong programming skills: proficiency in smart contract development and/or full-stack engineering. * Proficient in TypeScript. * Prior technical role at an established DeFi project. * Familiarity with DeFi protocols and cross-chain messaging protocols. * Strong communication and writing skills. * Fluent in English. Skills & Attributes * Proactive problem solver: You have a forward-thinking mindset, actively identifies opportunities for improvement, and takes decisive action to resolve issues efficiently and effectively. * Collaborative communicator: You foster relationships with finance experts, blockchain specialists, back-end developers and designers. * Team-oriented mindset: You are always ready to help colleagues within and outside your team and seek assistance when needed * Delivery-focused: You have a clear understanding of the objectives and goals and direct your efforts towards achieving them. * High level of autonomy. Compensation * Competitive compensation (base salary with equity/ token grant) commensurate with experience. Benefits * Global team and flexibility: Join a truly global team with the flexibility to work remotely or from one of our hubs in NYC or Berlin. * Health and wellness: Enjoy comprehensive healthcare insurance coverage as well as a wellbeing allowance and gym membership to support your physical and mental health. * Customisable IT setup: Tailor your workspace with access to top-notch IT equipment. * Professional development: Benefit from an annual development budget to enhance your skills and grow professionally, including opportunities to participate in conferences and on-site company events worldwide. Compensation & Package base salary with equity/ token grant) commensurate with experience

Job Description Trexquant is a growing systematic fund at the forefront of quantitative finance, with a team of world-class researchers and engineers. As we continue to expand our trading operations, we are investing heavily in building the next generation of our quantitative research & trading platform. We are seeking an Early Career Software Engineer with strong programming skills to join our engineering team. In this role, you will work closely with experienced engineers and quantitative researchers to develop the infrastructure that powers systematic trading, including data pipelines, back testing tools, and execution systems. You will have the opportunity to contribute to greenfield development projects, where you’ll help build new systems from the ground up, driving innovation and scalability in our technology stack. Responsibilities • Full lifecycle development of low-latency, high-throughput research and trading systems using C++, C, Java, or Rust, • Build and optimize data processing pipelines to ensure reliable access to large, high-quality datasets., • Assist in developing tools for back testing, model training, and strategy evaluation., • Collaborate with researchers and traders to deliver technical solutions that improve research productivity and trading performance., • Participate in code reviews, testing, and documentation to maintain high-quality standards., • BS/MS degree in Computer Science, or a related STEM field, • Strong knowledge of data structures, algorithms, and object-oriented programming., • Proficiency in one or more programming languages: C++, C, Python, Java, or Rust., • Familiarity with Linux environments, • Competitive salary plus bonus based on individual and company performance., • Collaborative, casual, and friendly work environment., • PPO health, dental, and vision insurance premiums fully covered for you and your dependents., • Pre-tax commuter benefits., • Weekly company meals. Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary range is $130,000 - $175,000 depending on the candidate’s educational and professional background. Base salary is one component of Trexquant’s total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionTired of the inefficiencies and complexities of traditional finance? We are too. At Superstate, we create investment products that benefit from the speed, programmability, and compliance advantages of blockchain tokenization. As a senior full stack engineer at Superstate, you will help lead our team in building well designed user experiences that are unique, trustworthy and scalable across all Superstate frontend properties. You will also be given the opportunity to influence the direction, design and execution of all future product experiences.What you'll do • Lead long term technical direction and vision for maintaining and scaling our web products, • Build functional UI elements from design mocks, with an emphasis on performance, reliability and accessibility, • Work with Product, Design and Engineering to implement a functional, user-friendly and delightful experience, • Build a unified styles library for use across all products, • Enthusiastically collaborate with a small team, owning and planning projects for long-term impact, • Teach and mentor other engineersWhat you'll bring to the team, • Bachelor’s degree in Computer Science or a related technical field, • 9+ years of professional engineering experience, • Proven track record in developing web applications and shipping user facing features, • Familiarity with current trends and best practices in front-end architecture, including performance, security and usability, • Familiarity with the current DeFi ecosystem, • Exceptional judgment, strategic thinking and creative problem-solving skills with a strong analytical mindsetBonus points if you have experience with these technologies, • TypeScript, • Svelte, • Frontend technologies like React, HTML, and CSS, • Web3 frontend stack, such as web3.js, ethers.js, etc., • Experience creating component libraries, • Functional programming language experience, • Postgres or SQL, • Rust, • Experience with SolidityBenefits + Perks, • Competitive compensation, • Equity ownership, • Flexible vacation policy, • Paid parental leave

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description About G-20 The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. Role Overview We are hiring for a motivated Smart Contract Engineer with responsibility for the design, development, and ownership of all on-chain components, including operator registration, stake management, fee distribution automation, and the smart contract interfaces utilized by AI agents and trading systems to interact with our markets. Your work will serve as the foundational trust layer between multiple participants within the ecosystem and as such, is highly security-critical. The smart contracts you develop will manage slashable collateral, automate fee distribution across multiple active markets, and be subject to external audits and public accessibility. Key Responsibilities • Operator Registration & Lifecycle: Build and maintain the end-to-end operator registration flow, including collateral locking, credential submission, and market configuration. Enable seamless addition of new markets without re-registration and ensure clear separation of operator identity and market parameters., • Stake Management & Slashing: Develop smart contracts for staking, unstaking (with cooldowns), and handling partial/full slashing. Implement co-staker models with fair fee distribution and robust handling of all slashing edge cases., • Fee Distribution Automation: Automate fee collection and distribution across treasury, co-stakers, and liquidity participants with transparent, auditable, and fully autonomous systems., • Agent & Bot Interfaces: Design efficient on-chain interfaces for AI agents and trading bots, including batch operations and data queries. Provide well-documented SDKs in Python, TypeScript, and Rust., • Market Governance: Implement secure governance for updating market parameters, incorporating safeguards such as timelocks, multi-sig approvals, and on-chain auditability., • Bachelors degree (minimum) in Computer Science, Engineering, Mathematics, Data Science, or a related field, top-tier university preferred, • Strong written and verbal communication skills, • Solidity Expertise: 1+ years of production experience in smart contract development. Strong understanding of the EVM, including gas optimization, storage layout, proxy patterns, and reentrancy protection., • Foundry Proficiency: Experience using Foundry as a primary development framework, including Forge testing, fuzz testing, invariant testing, and scripted deployments. Demonstrated ability to achieve high test coverage across security-critical code paths., • DeFi Perpetuals Knowledge: Solid understanding of perpetual futures architecture, including funding rates, mark vs. index pricing, liquidation mechanisms, and auto-deleveraging. Familiarity with design approaches across leading on-chain perpetual protocols., • Security-Oriented Mindset: Strong awareness of smart contract attack vectors and exploit patterns, including flash loans, oracle manipulation, access control vulnerabilities, and front-running. Experience preparing codebases for external security audits., • Governance & Access Control: Experience implementing and managing multi-signature wallets, timelock mechanisms, and secure on-chain parameter governance with safe upgrade patterns., • SDK & Interface Design: Proven ability to design clean and developer-friendly ABIs, emit events for off-chain indexing, write comprehensive NatSpec documentation, and generate typed SDK bindings across multiple programming languages. Preferred / Desirable Experience • Rust smart contracts: Smart contract development in Rust-based environments (Solana, NEAR, CosmWasm)., • Formal verification: Experience with Certora, Halmos, or symbolic execution tools for proving contract invariants., • Oracle & cross-chain patterns: Understanding of how off-chain data (oracle prices, external state) is delivered to on-chain contracts and the trust assumptions involved., • RWA tokenisation: Familiarity with tokenised real-world asset protocols and how their collateral types integrate with DeFi margin and lending systems., • Institutional custody integration: Experience integrating institutional custody solutions (MPC-based or equivalent) for programmatic transaction signing. Location and Right to work: This role will preferably be based in our Zurich office but could alternatively be based out of our London, New York, Chicago or Hong Kong offices. Only candidates who possess the pre-existing right to work in one of the locations above without needing company sponsorship need apply. Join G-20 Group and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do: The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the performance, reliability, scalability, and security of the company's data platform. The team builds and operates the foundational systems that power ingestion, transformation, analytics, and AI workloads at scale. This includes ownership of the underlying infrastructure for orchestration, compute, and storage systems that enable data engineering teams to build and deliver data products. We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience. About the role: As an Engineering Manager, you will lead a team of Software Engineers and Site Reliability Engineers responsible for the infrastructure that powers CoreWeave's data platform. You will own the reliability, scalability, and performance of core systems such as compute engines, orchestration frameworks, and storage layers. You'll partner closely with Data Engineering teams, as well as cross-functional groups including Production Engineering, Developer Experience, Security Engineering, and IT Operations to ensure the platform is robust, secure, and easy to operate. This role balances people leadership with deep technical ownership, including stepping in hands-on when needed to support critical initiatives. Who You Are: • 7+ years of experience in software engineering, infrastructure engineering, or data platform engineering roles, • 2+ years of experience managing engineering teams, including hiring, coaching, performance management, and career development, • Experience leading teams through the full software development lifecycle (SDLC), including planning, execution, and delivery of complex technical initiatives, • Experience running and evolving engineering processes (e.g., agile development, backlog management) to drive predictable execution and continuous improvement, • Experience setting team goals and metrics (e.g., OKRs) and holding teams accountable to outcomes, • Strong hands-on experience operating and scaling data platform infrastructure (e.g., Spark, Airflow, Iceberg, StarRocks) in production environments, • Deep expertise in Kubernetes and containerized software development, including cluster design, operations, and scaling in production environments, • Experience building and operating distributed systems with high availability and performance requirements, including SLOs and incident management, • Strong understanding of data platform architecture (compute, orchestration, storage) and experience driving reliability, performance, and cost optimization at the platform level, • Ability to contribute code and technical solutions when needed, with proficiency in at least one programming language (Python, Java, Go, Rust), • Experience supporting high-scale data workloads (e.g., large-scale Spark clusters, real-time ingestion platforms), • Experience working in environments with strict uptime and reliability requirements (e.g., ≥99.99% uptime), • Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX, • You love building and leading teams that operate critical infrastructure at scale, • You're curious about how to improve reliability, performance, and cost efficiency across complex data systems At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Job Title: Sr. Infrastructure Security Engineer Job Type: Full-Time Location: Remote The Role Were looking for an infrastructure security engineer who thinks like a builder, not an auditor. Youll design and evolve the security foundations of a fast-moving, AI-native organizationwhere the goal isnt just to reduce risk, but to enable us to move faster safely. This role sits at the intersection of systems engineering, security research, and applied automation. What Youll Do • Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration., • Build automated guardrails and self-healing infrastructure to eliminate entire classes of vulnerabilities., • Design and implement Zero Trust primitivesidentity, access, and policy as codefrom first principles., • Develop Detection-as-Code pipelines, treating detection logic like production systems (versioned, tested, deployable)., • Explore and deploy AI-native approaches to threat modeling, anomaly detection, and incident response., • Partner closely with engineering and research teams to embed security into the development lifecycle., • Write clearly and think clearlysecurity decisions should be legible, reviewable, and composable., • Deep experience securing distributed, multi-cloud systems (AWS, GCP, Azure)., • Strong programming ability (Python, Go, Rust, or similar) with a bias toward automation and systems thinking., • Experience with Infrastructure as Code (Terraform, Pulumi, etc.) and integrating security into CI/CD pipelines., • Strong understanding of identity systems, least privilege, and Zero Trust architectures., • Familiarity with modern detection ecosystems (e.g., Sigma, Panther, GuardDuty, SCC) and signal quality challenges., • A mindset that treats security as an engineering and systems problemnot compliance., • Experience securing Kubernetes and containerized workloads at scale., • Contributions to open-source security tools or research., • Experience applying or experimenting with AI/ML in security contexts., • Strong opinions about how security should evolve in an AI-first world.

Job DescriptionSoftware Engineer Opportunity Our client is on crypto’s cutting-edge technology, and we’re looking for the right engineers to join them. This is a remote position for any US-based candidate. Our client's Blockchain Distribution Network (BDN) allows DeFi (Decentralized Finance) traders to make better trades by being better connected. The key difference is that in the decentralized world of DeFi, you need to be connected to everyone. Coinbase is one of their investors. They created the first and only high performance blockchain distribution network (BDN) with the best solution for Ethereum, BSC, and Polygon. The BDN and DeFi trading tools allow its users to win at crypto trading. The BDN utilizes a global network of servers optimized for network performance. Nodes access this network through open-source gateways and users can access it through the public API. As a Software Engineer, you will be a core member of the team responsible for supporting the development of the Solana platform. In this position, you will be expected to have a deep technical understanding of blockchain technologies. You will have the ability to work closely with a team of engineers to help with enhancing our products and services. Responsibilities: Optimize the performance of the BDN (Blockchain Distribution Network) by enhancing speed through innovations aligned with the blockchain protocol, network infrastructure, and consensus model Architect, develop, and maintain the Solana blockchain platform using Solana native Innovate and design solutions that capitalize on the swift data flow within the blockchain distribution network, ensuring the creation of compelling offerings Demonstrate proficiency in reading and maintaining the core code of Solana, contributing to a deeper understanding and effective utilization of the Solana blockchain ecosystem Engineer Geyser plugins to enhance functionality and broaden the capabilities of the overall system, contributing to the evolution of the blockchain technology landscape Stay up to date with the latest developments in blockchain technology Requirements: 5+ years in blockchain with 2+ years focused on Solana (Raydium, JITO, AMMs) ETH/Polygon/BSC protocols, and MEV knowledge 5+ years experience in designing, testing, and implementing scalable backend systems Multiple Solana programs written in Solana native programming Proficient in Rust or Golang languages or both Skilled in reading and modifying blockchain core code (geth, bor, prysm) Creative, independent, and collaborative team player with the ability to work in a fast paced environment Benefits: Competitive salaries, stock options, healthcare benefits, 401k plan with an employer match, flexible PTO, and remote work. We built a highly skilled team of business and engineering minds who are working on innovative, challenging and complex projects.If you think you fit the role please apply to join the blockchain journey.

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description About the Company A leading decentralized infrastructure company is building one of the worlds most efficient public blockchain networks designed to enable developers to create applications that feel more like using cash than crypto. The platform provides high-speed, low-cost, and energy-efficient transactions, empowering developers and institutions to launch scalable, real-world financial applications on-chain. About the Role As a C++ Engineer, you'll work on the distributed systems and consensus engine at the core of a global blockchain network used by developers and institutions worldwide. This role involves tackling deep systems challenges: improving performance, optimizing peer-to-peer communication, ensuring security under adversarial conditions, and shaping the incentive mechanisms that drive decentralized stability and growth. You'll join a team of experienced engineers collaborating on protocol evolution, consensus modeling, and system architecture making direct contributions to the foundation of next-generation blockchain infrastructure. Key Responsibilities • Design and build critical components of the blockchains core distributed system and consensus layer., • Develop scalable, extensible, and secure infrastructure that powers thousands of on-chain applications., • Collaborate with engineering leadership and community contributors on architectural design and protocol evolution., • Write clean, maintainable, production-quality C++ code optimized for performance and reliability., • Investigate and refactor performance bottlenecks across the system stack., • Contribute to detailed technical specifications and RFCs, helping shape design standards for the engineering organization., • Participate actively in code reviews and lead technical discussions on systems architecture and engineering best practices. Required Qualifications 4+ years of professional software engineering experience. * Bachelors or Masters degree in Computer Science or equivalent field. • Deep, hands-on expertise in modern C++ (production-level experience required)., • Strong understanding of software design principles and patterns for modular, extensible systems., • Proven ability to collaborate and communicate effectively in technical discussions and design reviews., • Experience contributing to or developing in blockchain, distributed ledger, or decentralized protocol environments (or a demonstrated passion for the field through open-source projects, research, or personal initiatives).Bonus Skills Experience designing and implementing distributed systems at scale. * Familiarity with Rust or other systems-level programming languages. • Interest in blockchain economics, consensus algorithms, and decentralized system design. Contributions to open-source projects or Web3 developer communities.

Job DescriptionInfrastructure & Platform Engineer Job Posting Location: New York, San Francisco (Office) Compensation: $185K - $400K Our client is a rapidly growing technology company operating at the forefront of the high-stakes crypto derivatives sector, a market with annualized revenues in the tens of billions. Their platform is one of the fastest-growing crypto derivatives exchanges, capturing a significant and expanding share of the global market. They are building the next essential feature in this space: Multi-Asset Margin, which will allow users to post various forms of collateral directly on-chain, eliminating the need to liquidate assets into USDC before trading. Their infrastructure is designed to bring multiple trading venues and expanded financial utility directly to the user. You will join their Infrastructure & Platform team to design, deploy, and operate the core components of their scalable, high-performance systems. You will focus on compute, storage, and networking while working closely with the product team to deliver exceptional speed and reliability in demanding, real-time environments. What You'll Do: • Develop robust scripts and services to ensure speed and reliability in demanding, real-time environments., • Manage and deploy compute resources and containers for custom services and integrations., • Automate essential functions like scaling, load balancing, and congestion control across both compute and database layers., • Build and maintain CI/CD pipelines for automated deployment, seamless rollback, and continuous delivery., • Monitor system performance across CPU, memory, I/O, and network, tuning configurations for maximum throughput and resiliency., • Develop indexing and explorer services to create live, fast, and expressive data channels for users. What You Bring: • 3+ years of experience building production-grade infrastructure in cloud or on-prem environments., • Strong scripting and development skills, particularly in Rust and other low-level programming languages., • Deep expertise managing compute instances directly (e.g., VMs) and/or experience with container orchestration (e.g., Docker, Kubernetes)., • Solid understanding of networking fundamentals, including VPCs, subnets, load balancers, NAT, VPN, and network security., • Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure as code practices (e.g., Terraform, CloudFormation)., • Proven track record with time-series databases (e.g., TimescaleDB, InfluxDB) and key-value stores (e.g., DynamoDB, Redis)., • Experience profiling and optimizing low-level system performance under high load conditions., • Compensation: $185,000 - $400,000 annual base salary., • Equity: Significant company equity package., • Health: Comprehensive medical, dental, and vision insurance with HSA options., • Time Off: Generous paid vacation and holidays., • Retirement: Retirement plan with employer matching contributions. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Work Mode: Remote Engagement Type: Independent Contractor Schedule: Full-Time or Part-Time Contract Language Requirement: Fluent English Role Overview We partner with leading AI teams to improve the quality, usefulness, and reliability of general-purpose conversational AI systems. This project focuses specifically on evaluating and improving how AI systems reason about code, generate programming solutions, and explain technical concepts across various complexity levels. The role involves rigorous technical evaluation of AI-generated responses in coding and software engineering contexts. What Youll Do Evaluate LLM-generated responsesto coding and software engineering queries for accuracy, reasoning, clarity, and completeness Conduct fact-checkingusing trusted public sources and authoritative references Conduct accuracy testing byexecuting code and validating outputs using appropriate tools Annotate model responsesby identifying strengths, areas of improvement, and factual or conceptual inaccuracies Assess code quality, readability, algorithmic soundness, and explanation quality Ensuremodel responses align with expected conversational behaviorand system guidelines Apply consistent evaluation standardsby following clear taxonomies, benchmarks, and detailed evaluation guidelinesWho You Are You hold aBS, MS, or PhD in Computer Science or a closely related field You havesignificant real-world experience in software engineeringor related technical roles You are an expert in atleast one relevant programming language (e.g., Python, Java, C++, JavaScript, Go, Rust) You are able to solveHackerRank or LeetCode Medium and Hardlevel problems independently You have experience contributing to well-known open-source projects, including merged pull requests You havesignificant experience using LLMs while codingand understand their strengths and failure modes You have strong attention to detailand arecomfortable evaluating complex technical reasoning, identifying subtle bugs or logical flawsNice-to-Have Specialties Prior experience with RLHF, model evaluation, or data annotation work Track record in competitive programming Experience reviewing code in production environments Familiarity with multiple programming paradigms or ecosystems Experience explaining complex technical concepts to non-expert audiencesWhat Success Looks Like You identify incorrect logic, inefficiencies, edge cases, or misleading explanations in model-generated code, technical concepts, and system design discussions Your feedback improves the correctness, robustness, and clarity of AI coding outputs You deliver reproducible evaluation artifacts that strengthen model performance

Job Description Flowdesk's mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency. To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines. We look for individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure. We are seeking Software Engineer with extensive experience in OTC trading to join us. You will design, develop, and maintain high-performance trading systems that power our OTC operations. Requirements Key Responsibilities: • Develop and optimize trading infrastructure for OTC execution and settlement., • Collaborate with traders, quants, and cross-functional teams to implement trading strategies and workflows., • Build scalable APIs and microservices for trade lifecycle management, pricing, and risk systems., • Design resilient solutions for clearing, settlement, and regulatory compliance Required. Qualifications: • Extensive hands-on experience building OTC trading systems or platforms., • 5+ years of software engineering experience with strong expertise in low-level programming language., • Deep understanding of financial markets, trade lifecycle, and OTC market structures Nice to Have: • Rust programming experience highly valued., • Knowledge of cryptocurrency or digital asset markets., • Familiarity with trading protocols (FIX, WebSocket) and market data systems., • International environment (English is the main language), • 100% Coverage from Justworks Benefits (Medical, Dental, and Vision plans), • Team events and offsites The base salary range for this role is between $150,000 - $200,000 in the State of New York. This range is not inclusive of our discretionary bonus. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data. Recruitment process Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet! Here's what you can expect if you apply • HR interview (30'), • Technical Discussion with hiring manager (30'), • Technical Test, • Chat with the Head of Engineering (45'), • Chat with CTO (30') On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job! We are committed to an inclusive and accessible recruitment process. If you require any reasonable adjustments or have specific needs to enable you to participate fully in the interview or assessment process (e.g., a sign language interpreter, extra time for a test, or an accessible location), please contact us to discuss how we can support you.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $100–$160/hour Commitment: 30–40 hours/week Role Responsibilities • Design, build, and optimize distributed infrastructure for training, deploying, and scaling AI agents across high-performance compute environments., • Develop core backend systems including services, APIs, and orchestration layers to support agent lifecycles, tool execution, memory access, and multi-agent coordination., • Collaborate with research and applied AI teams to integrate model-serving pipelines, agent reasoning loops, memory stores, and planning components into production systems., • Build and maintain agent runtime infrastructure, including task scheduling, state management, inter-agent communication, and execution reliability., • Implement monitoring, observability, and fault-tolerance mechanisms for long-running agent processes and distributed workflows. Must-Have • Strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems., • Proficiency in one or more backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript/JavaScript., • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization/orchestration tools such as Docker and Kubernetes., • Strong experience designing production-grade backend services, APIs, and distributed systems., • Knowledge of networking, data streaming, caching, and performance optimization in distributed systems., • Excellent collaboration and communication skills., • Upload resume, • AI interview based on your resume #hiringmercor

Job Description Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone. We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. More about us Product (Captions by Mirage) Research (Seeing Voices, technical-white-paper) Updates (Mirage on X / twitter) TechCrunch, Forbes AI 50, Fast Company (press) Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) About the Role We’re looking for an experienced software engineer to help design and build our next-generation, cross-platform rendering engine for video and graphics. This is a foundational, long-term effort: you’ll work on core systems that power how media is rendered, transformed, and composed across platforms. The work spans low-level rendering, media processing, and systems design. You’ll help define the architecture, make fundamental technical decisions, and build infrastructure that will support increasingly sophisticated creative workflows. We don’t use hierarchical titles or levels internally, but are currently hiring engineers who have operated at senior or staff+ scope. Responsibilities * Design and build a high-performance, cross-platform rendering engine for video and graphics, capable of powering complex creative workflows * Own core media and rendering systems, including composition, transforms, effects, and execution pipelines * Make foundational architectural decisions around engine structure, language choice, performance tradeoffs, and long-term maintainability * Optimize for performance, correctness, and scalability, balancing throughput, latency, and resource efficiency in production environments * Collaborate with product, AI, and client teams to ensure the engine supports evolving creative and product requirements * Build abstractions and APIs that enable other teams to build on top of the engine safely and efficiently What makes you a great fit * Strong experience building performance-critical systems in production * Deep understanding of graphics, media, or rendering pipelines, such as video processing, real-time or offline rendering, or GPU-accelerated systems * Proficiency in one or more systems programming languages (e.g., C++, Rust, or similar), with the ability to reason about memory, concurrency, and performance * Strong computer science fundamentals, especially in algorithms, data structures, and systems design * Experience owning large, complex projects over long time horizons * Comfortable operating in ambiguous problem spaces and making high-leverage technical decisions Even better if… * You’ve worked on rendering engines, media pipelines, or graphics infrastructure used at scale * You have experience with video codecs, media formats, or GPU compute * You’ve built or maintained cross-platform engines or shared core systems * You enjoy close collaboration and working on deep technical problems Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $185K - $285K

Job Description About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. Position Overview We're looking for a technically sharp intern who loves making complex technology accessible through great documentation and examples. You'll be the bridge between our cutting-edge LiDAR sensors and the developers who integrate them, turning our APIs into something customers love to work with. This role is up to ~60-70% technical writing and documentation infrastructure, with the remaining time spent building software demos and sample applications that showcase what's possible with our sensors. If you geek out over well-crafted docs and clear code examples, this is your role. Timeframe: This internship lasts 2–6 months with a minimum commitment of 16 hours per week, and there is potential to convert to a full-time role. Location: NYC Responsibilities: Primary (~60-70% of time): * Write and maintain comprehensive API documentation for C++ and Python bindings * Create tutorials, quick-start guides, and integration examples that get developers up and running quickly * Build and maintain tooling to keep documentation synchronized with API and firmware updates * Manage documentation infrastructure and workflows (CI/CD, version control, publishing) * Ensure documentation clarity, accuracy, and completeness across all customer-facing materials Secondary (~30-40% of time): * Build sample applications and integration demos using our LiDAR sensors * Collect and curate example datasets that demonstrate sensor capabilities * Create ROS/ROS2 bridge usage examples and robotics framework integrations * Develop visual demos and code snippets for product marketing and customer onboarding Qualifications * Pursuing degree in Computer Science, Software Engineering, Robotics, or related technical field * Strong written communication skills with attention to clarity and detail * Programming experience in C++, Rust, and/or Python * Ability to understand and explain technical concepts to diverse audiences * Self-directed learner who can take ownership of documentation projects Preferred Qualification: * Familiarity with documentation tools (Sphinx, Doxygen, MkDocs, ReadTheDocs, etc.) * Experience with ROS/ROS2 or robotics frameworks * Prior technical writing, documentation, or developer relations experience * Understanding of API design principles and developer experience best practices * Basic scripting/automation skills for documentation tooling * Experience with version control (Git/GitHub) and CI/CD pipelines * Familiarity with LiDAR, point clouds, or sensor data What We Offer * Team events and company meetups * Complimentary lunch provided daily at our NYC office * Opportunity to contribute directly to the development of next-generation LiDAR products * Mentorship from senior hardware, photonics, and systems engineers * Hands-on experience with PCB design, mechanical prototyping, and test automation * Competitive compensation and potential for conversion to full-time Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer at Radical, you’ll build the core software that powers our autonomous lab and AI platform. This is a generalist role: you might work on backend services, agent tooling, data + orchestration, internal platforms, and the infrastructure that keeps everything secure, observable, and reliable in production. We work in a deeply technical and cross-discipline domain—robotics, ML, and experimental automation—and your software will directly control and monitor systems in the real world. You may not have done all of the things we mention on this posting, but the prospect of learning and owning these technologies excites you.About You • Strong fundamentals: you can design, build, and ship production software end-to-end., • Experience with modern backend development (Python, Go, Rust, or similar)., • Familiarity with concurrent and asynchronous programming, including event loops, cancellation semantics, bounded queues, and task orchestration under failure modes. You know how to handle timeouts, retries, and device-level race conditions., • Comfort with distributed systems realities: timeouts, retries, async/concurrency, partial failure, debugging in production., • Experience designing and operating fault-tolerant distributed systems, where retries, idempotency, dead-letter queues, and safe rollback are all table stakes., • Familiarity with Kubernetes and containerization., • Strong engineering taste: you prioritize correctness, maintainability, and clear interfaces., • Agent capabilities and “tools” (e.g., internal/external API integrations, code execution, scientific literature retrieval, workflow automation)., • Scientific workflow orchestration (e.g., Bayesian optimization loops, experiment scheduling, long-running job execution, retries/idempotency)., • Pipelines for ingesting, storing, and transforming data used by models and LLMs., • Internal platforms that make engineers faster: developer tooling, SDKs, shared services, service templates., • Observability and reliability systems: structured logs, metrics, tracing, debugging workflows (OpenTelemetry, Prometheus/Grafana, etc.)., • Hybrid infra (cloud + on-prem), containerization, orchestration, and infrastructure-as-code.Pluses, • Experience with agentic systems / LLM workflows (LangChain, PydanticAI, tool-calling, context management)., • Infrastructure experience: Docker, Kubernetes, Terraform/CloudFormation, cloud + on-prem deployments., • Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI) and/or DevSecOps practices., • Experience with embedded protocols (e.g., serial, I²C, Modbus), device virtualization, or microcontroller firmware., • Strong observability experience (Datadog, Prometheus, Grafana, ELK, tracing) ., • Contributions to systems for robotics, automation, or manufacturing infrastructure., • Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability. You’ve worked with structured APIs and understand browser performance implications., • Comfort designing reproducible and testable systems for devices that don’t always behave perfectly.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

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Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash

Delivering with Uber is an alternative to a part-time or full-time job and can get you earning cash quickly.Delivering with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can cash