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Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE  We're looking for an Engineering Manager to lead the team responsible for Runway's product platform and API. You should have experience growing high-performing engineering teams and be deeply interested in the intersection of product development, APIs, and distributed systems. You will will manage our current and growing team of 5. You’ll have a chance to work closely with our product engineering, product management, and finance teams to build low-latency, high-reliability APIs for our AI-powered creation tools as well as the infrastructure to support them. A PEEK AT OUR TECHNICAL STACK Our API endpoints for real-time collaboration and media asset management is written in TypeScript, and runs in ECS containers on AWS Fargate. We leverage multiple AWS-native components, such as S3, CloudFront, Lambda, Kinesis, and SQS, as building blocks of our infrastructure. Our inference backend is written in Python (PyTorch, TorchScript), and is deployed across multiple clusters / cloud providers. We use Kubernetes for container orchestration, and k8s-native components such as Flyte, Kueue, and Kyverno efficient job orchestration. We invest in prometheus and grafana for monitoring, and Terraform to manage our infrastructure. WHAT YOU’LL DO  - Drive platform strategy and architecture for our TypeScript-based API infrastructure, ensuring code quality, maintainability, and scalability as we grow - Own the public API domain end-to-end, from technical architecture to revenue growth, ensuring it's a high-quality, revenue-generating platform that developers love - Manage our data and analytics infrastructure, ensuring data integrity, security, and accessibility for teams across the company - Lead and grow a team of 4-6 platform engineers, fostering a culture of technical excellence, collaboration, and continuous improvement - Partner with Product Engineering teams to unblock new feature launches, providing platform support and ensuring smooth integration between frontend experiences and backend capabilities - Own critical data pipelines and metrics that power business decisions across Finance (cost-of-sales, revenue attribution), Support (usage analytics, error tracking), and Product (feature adoption, performance metrics) - Work cross-functionally with leadership to set priorities, communicate progress, and align platform investments with business goals WHAT YOU’LL NEED - 2+ years of experience in an engineering manager or team lead role, with a track record of building and scaling high-performing teams - 5+ years of hands-on engineering experience, with specific expertise operating TypeScript services in the cloud (AWS/GCP/Azure) - Strong product sensibility and business acumen – you understand how technical decisions impact revenue, customer satisfaction, and company metrics - Experience owning revenue-generating platforms or products, with an understanding of API economics, usage-based pricing, and developer experience - Solid foundation in data engineering and analytics, including experience with metrics pipelines, data modeling, and business intelligence tooling - Database expertise, particularly in managing production databases at scale, data migrations, and ensuring data integrity - Excellent cross-functional communication skills – you can translate technical concepts for business teams, explain business constraints to engineers, and build consensus across diverse stakeholders - Comfort with ambiguity and rapid iteration – you can make smart trade-offs between perfect and good-enough in a fast-moving startup environment - Empathetic and inclusive leadership style that empowers engineers to do their best work Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada Role Overview: As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing, ​​​​​​​motor drive units,​​​​​​​ onboard processors, ​​​​​and mass-storage units, all of which utilize cutting-edge space technologies. Key Responsibilities: Lead the digital/analog PCB design for space environments. Mentor and oversee junior team members and interns in PCB design. Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.). Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration. Complete or review the schematic capture level design. Identify and manage technology and design risks. Provide guidance to ensure Design for Manufacture/Test in space environments. Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings. Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space. Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA). Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout. Oversee board assembly and manufacturing tests. Prepare and review various documents, including review presentations, test plans, test procedures, etc. Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards. Provide support for environmental and functional tests and validation for space missions. Report progress and address issues to the program lead or manager. Required Qualifications: Bachelor’s degree in electrical engineering, computer engineering, or equivalent field. Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs. Demonstrated expertise in at least one of these areas of competence. Proficiency in coaching and supervising junior team members and interns. Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.). Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc. Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience. Knowledge of PCB manufacturing processes. Exposure to mechanical packaging is a valuable asset. Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.

Location: Dublin, Ireland; London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Vilnius, Lithuania Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform. Key Responsibilities Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs. Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance. Collaborate with cross-functional teams to integrate AI models into production environments. Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation. Implement and maintain scalable, secure, and cost-efficient solutions on AWS. Ensure high availability and fault tolerance of Kafka-based streaming data systems. Develop and maintain Python-based applications and scripts to support AI and data processing workflows. Contribute to the design and development of new AI-driven features to improve user experience. Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI engineering, data engineering, or a similar role. Strong proficiency with Apache Kafka for building and maintaining data streaming pipelines. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS). Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch). Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools. Familiarity with other programming languages (e.g., Java, Scala) is a plus. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Qualifications Experience with real-time data processing and event-driven architectures. Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Previous work in the travel or fintech industry. Understanding of GDPR and data privacy regulations. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: Redmond, United States Job Description: We are seeking a talented Software Development Engineer with a passion for building robust backend systems. This role focuses on designing and developing scalable software solutions, primarily using Java. We’re looking for someone who excels at writing production-ready code to help drive our technology forward. Responsibilities: Design and develop high-quality backend software systems, primarily using Java. Build and maintain scalable, efficient, and reliable applications from the ground up. Collaborate with product teams to implement new features and functionalities. Write and optimize SQL queries for data management and retrieval. Leverage infrastructure as code (IaC) to support deployment of software solutions. Debug and enhance existing codebases with a focus on development. Participate in code reviews to ensure maintainability and performance. Required Skills and Qualifications: Proven experience as a Software Development Engineer, with a strong emphasis on backend development. Deep expertise in Java for building software systems. Strong understanding of software architecture and backend system design. Hands-on experience with SQL and relational databases. Familiarity with cloud environments and infrastructure as code (IaC) to support development efforts. Ability to solve complex problems through code development. Bachelor’s degree in Computer Science or equivalent experience (CS degree preferred but not mandatory). Preferred Qualifications: Previous experience at a tech-driven company (e.g., Amazon or similar) as a developer. Proficiency in Python as a secondary skill (not required, but a plus). Track record of delivering production-grade backend systems. Comfort with full-stack problem-solving, though the focus remains on backend.

Location: Houston, United States Role: As part of the System Engineering Department, the Senior Mission and Operations Satellite System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the ICD development activities both HW and SW/DB Support the Operations DevOps environment and tool-chain integration. Support the ConOps Mission Design, Trade Space Analysis, Modeling and Automation Support the Satellite Simulator Operation and script development. Requirements: Bachelor’s degree in engineering in a relevant field At least 10 years of relevant practical experience Previous mission design and analyses experience with LEO/MEO satellite systems. Experience with automated satellite operations, especially design. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge: Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Houston, United States Role: As part of the System Engineering Department, the Flight Operations System Engineer will participate, and coordinate the work needed for the analysis, planning and definition of the constellation operations ConOps, and the preparations, testing and execution of the operations procedures. Tasks: The Satellite Flight-Operations engineer will perform and participate in the following tasks and activities, depending on the background and experience of the candidate. Trade-off studies to design, develop and simulate the overall Satellite LEOP plan. Development of Spacecraft In-Orbit Operations Procedures and oversight of their execution and associated trainings. Development of Satellite Operation Manuals, test procedures and oversight of their execution and associated trainings. Verification & Validation Matrices of the operations procedures for on-orbit commissioning, routine, and contingency operations of the mission. Support In-Orbit Test (IOT), anomaly resolution + FDIR. Support the Satellite Simulator Operation and script development. Requirements: Bachelor’s degree in engineering in a relevant field At least 10 years of relevant practical experience Previous experience with LEO/MEO satellite systems. Experience with automated satellite operations, especially design and IOT. Systems Engineering experience in concepts of space and ground segment design, specification and integration, knowledge of Flight Software role in operations, Satellite Database Operations concept and telemetry structure concepts. Experience creating or using models and/or simulation software. Knowledge of Python or other scripting languages Knowledge of Matlab Knowledge of AG1's Systems Tool Kit (STK) Complementary skills/knowledge: Previous experience in Constellation Operations Development and testing of new automated operations Knowledge of MS Excel, for the purposes of engineering analyses Knowledge of requirements Management tools such as DOORS/Windchill/Jama

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Solutions Architect for Automotive to help our partners (companies like Mercedes, Ford, GM, Elektrobit, Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) and prospects understand and embrace our open source platform for themselves and their customers. Our worldwide field engineering team apply expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, OpenStack, Kubernetes, AI/MLOps and a wide range of associated technologies. We are experts in the whole open source stack, from kernel to desktop, from cloud to embedded. And we continue to expand our range of offerings to bring our security, management and developer experience to the smallest Linux environments and devices. Our team is also interested in business problems - building things reliably, efficiently and cost-effectively, and we have to learn to speak the language of our customers and their industries. Beyond an expected Automotive expertise, this career opportunity requires a unique blend of skills. Successful candidates will know Linux well and be proficient coders and scripters. They will have experience of low-level Linux boot, BIOS, firmware and embedded software development methodologies. They also enjoy the pace of change and diversity of client engagements with driven and ambitious technology entrepreneurs. Competitive, business-focused technologists at heart, they are also dedicated team players that take pride in team and company wins. We often say that our field engineers have 'the hardest job at Canonical' because customers can ask about any aspect of our solutions and products and expect a thoughtful, well-informed answer. We always want to do the best thing for our partners and customers, regardless of our company interests, and field engineers are the people we trust to ensure that is true. Location : This is a home-based role, we are hiring worldwide. What your day will look like Engage customers during presales to gather requirements and explain our technology Liaise with other Canonical's experts (mastering the Cloud, Kubernetes, Security or Safety, etc) to aggregate our collective knowledge into comprehensive solutions for our prospective clients Participate to the delivery of select projects related to Embedded Linux, including demos and PoCs Convey market requirements to key stakeholders in our organization, and sometimes participate to the development or refining of generic solutions to unlock market potential Be both a customer advocate and a trusted advisor to Canonical If you have a passion for the latest open source technologies applied to Automotive, if you want to play an active role in building Software Defined Vehicles, if you are curious with a will to learn how to leverage and adapt Cloud technologies to the embedded world, you will love working at Canonical. What we are looking for in you Bachelor’s degree in Computer Science or related technical field Extensive Linux experience - Debian or Ubuntu preferred Solid embedded Linux experience - Yocto or RTOS Fluency in Golang, Python, C, C++, or Rust Professional written and spoken English in addition to the local language Excellent communication and presentation skills Interest in customer-facing engagement, including pitching, demonstrating and understanding customer environment and needs Result-oriented, ability to multi-task A personal drive to meet commitments An humble learner and quick study Relevant experience in the Automotive industry Albeit many projects can be done remotely, the successful candidate will be willing to  travel up to 30% of the time for customer meetings, company events, and conferences Additional skills that you might also bring (but not mandatory) Experience with ISO26262 and/or ISO21434 Experience with customer engagements What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person - we’ve been working remotely since 2004! Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues from your team and others Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-Remote

Location: Vilnius 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Build systems that power the #1 Health App for Women We’re not a startup guessing what might work anymore, we’re operating at serious scale. Flo is used by 1 in 4 women aged 18–44 in the US. And we just hit our biggest month ever with 8.6M installs and a 2.8M MAU jump. The engineering behind that? Complex, distributed, secure and yours to help shape. At Flo, backend engineering is core product work. We build: Data-driven health insights that genuinely change lives Distributed systems that stay fast, available and scalable under massive real-time demand Privacy-first features like Anonymous Mode -  recognised in TIME’s Best Inventions Tooling and platforms that help Flo’s teams move faster, with fewer bottlenecks We’re tech-agnostic when hiring for backend. If you’ve built and run distributed systems and want to work in Scala (or already do), great. We’ll support your ramp-up. What matters most: you can solve problems, own outcomes, and keep learning. Your Experience You’ll thrive here if you: Have 7+ years’ experience building distributed backend systems Know what it takes to make systems fast, reliable and secure and when to prioritise each Are fluent in Java, Scala, Python or similar (and curious enough to learn Scala with us) Get DevOps, databases (SQL and NoSQL) and love designing APIs that just work Have a strong handle on writing clean, documented, version-controlled code Take ownership, show initiative and don’t wait to be told Are product-minded and always thinking about the end-user impact Bonus if you’ve worked with: Stream processing Public cloud infrastructure (AWS, GCP etc.) What’s in it for you? You’ll join a senior engineering team that moves fast, thinks big and builds tech used by millions daily. You’ll work on meaningful problems with real impact - in health, privacy and scale. This isn’t just code for the sake of code. This is building the future of personalised health. #LI-Hybrid #LI-LM12 Salary Range - gross per month (ranges may vary based on skills and experience) €6.500 — €10.000 EUR How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: United States, Remote Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? Do you think a lot about how modular rigging systems enable quick iteration, how streamlined DCC pipelines empower artists, or how to achieve feature-quality character animation within real-time constraints? Come join us at teamLFG ! As a Tech Art Lead at teamLFG , you’ll collaborate closely with the art team to bring iconic characters to life from pre-production and beyond for a completely new world at PlayStation. Your ability to craft exceptional character rigs and efficient art workflows with a high degree of autonomy will delight animators and contribute to a class-leading action game! As a member of our tight-knit art team, you’ll balance craft expertise with a player-first mindset and willingness to contribute beyond your role to improve the prototype experience. Help build and deliver functional and innovative rigs in prototypes and establish scalable pipelines for production. Most importantly, you will work with a fun, diverse, cross-discipline team devoted to building a new universe from scratch. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Lead the Tech Art discipline & define the team’s goals while also contributing directly as an IC in early stages of the project Build and manage the Technical Art team, including mentoring and management of internal Tech Artists and overseeing external Tech Art work Work closely with the Art Director to find innovative methods for bringing the team’s artistic vision to screen Ensure visual aspects of the game are performant across all platforms (PC, console) Collaborate with project leadership to define and oversee the Technical Art roadmap, working cross team with technical artists, animators & designers to inform these decisions Create custom tools to enhance the game's visual fidelity and performance. Develop and refine workflows and pipelines that boost production efficiency and foster team collaboration. Introduce new features to the art team by showcasing examples, giving presentations, and producing relevant documentation. Engage in proactive communication with all stakeholders to ensure shared objectives and preemptively manage any challenges. REQUIRED SKILLS Experience in rigging workflow & pipeline creation Production experience with standard content creation tools such as Maya, Substance Painter, and Photoshop as well as professional experience using Python Ability to independently translate art team goals into creative solutions with a thorough understanding of cost, efficiency, and quality tradeoffs Excellent communication and interpersonal skills, with the ability to work effectively in a team environment Experience in producing clear, concise, and accurate technical documentation, with the ability to simplify complex topics Experience in managing and resolving stability, performance, and memory issues across different platforms. Experience with Unreal Engine Experience managing external resources effectively Experience shipping across multiple platforms (PC, console) Bachelors degree or equivalent Nice to have Skills Ability to creatively solve problems for a wide variety of asks during R+D, as demonstrated by prior success in incubation environments Ability to create unique custom shaders and effects that are efficient, scalable and deliver on the team's vision. Ability to create and hook up gameplay VFX assets Experience creating/managing modular environment systems At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $143,000 — $215,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: San Francisco; Palo Alto; New York City Perplexity is looking for an Applied AI Engineer to design, build, and iterate on cutting-edge agents powering our core experience in Perplexity Computer. Working in this mission critical team, you will develop frontier context layer applications - fulfilling the curiosity of millions of users across the globe. Key Responsibilities - Apply state-of-the-art ML and LLM techniques to solve problems spanning: - Personalization (LLM memory, context summarization, retrieval and ranking); - Contextual recommendations and Monetization applications - Build frontier agent capabilities on top of Perplexity Computer - Build auto research harness for both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact. - Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement and build autonomous harness for agent squad to explore different problem spaces. - Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements. - Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle. Preferred Qualifications - 5+ years experience building and shipping robust AI products for large-scale, user-facing or data-driven products. - Strong software engineering skills (Python, production-quality codebases, collaborative development) and experience using agentic coding tools for large scale parallel developments. - In-depth experience with the full AI lifecycle: data analysis, rigorous evaluation, and ongoing monitoring/improvement. - Proven collaborator and communicator; excels in high-velocity, cross-functional teams. - Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI. - BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience). Bonus Points For - Experience with LLM context engineering or harness engineering. - Experience in mid-training or post-training frontier open source models - Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).

Location: London; Europe; New York; Paris; Toronto Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role overview: Code-generating LLMs and autonomous agents are revolutionizing how software is built and tasks are automated. At Cohere, we’re pushing the boundaries of what’s possible with these technologies for enterprises, and we’re looking for a senior member for the Agent Code team. You’ll be at the forefront of research and engineering, driving the development of cutting-edge code LLMs and agent systems that can interact with the digital world to solve complex tasks with minimal human oversight. This role is hands-on and research-driven. You’ll dive into the latest literature on code LLMs and agents, experiment with frontier models, and collaborate with a team of talented engineers and researchers to build scalable, production-ready solutions. At Cohere, we blend engineering and research seamlessly—everyone contributes to both, depending on their interests and organizational needs. We provide access to world-class compute resources, data, and talent to ensure you can do your best work. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. Key responsibilities: - Stay up-to-date with the latest research in code LLMs, agents, and related fields, implementing novel ideas into our systems. - Design and implement scalable strategies to train code models, and deploy agent frameworks for inference and sampling. You will be collaborating with the pretraining team, create SFT trajectories and work on existing and new RL algorithms - Hillclimb on existing benchmarks and design new ones that reflect the needs of our enterprise users - Lead experiments on our state-of-the-art compute infrastructure, pushing the boundaries of what’s possible with frontier LLMs. Qualifications: - A PhD in Computer Science, Machine Learning, or a related field, with publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP). - Deep expertise in code LLMs and agent systems, with a strong understanding of the latest research and trends. We are looking for people who not only have worked with code models, but have actively contributed to their development - Hands-on experience with frontier LLMs and their applications in code generation or automation. - Strong software engineering skills, with proficiency in Python and PyTorch, TensorFlow, or similar frameworks. - Experience with distributed systems, cloud infrastructure, and scalable architectures. - A proactive, self-motivated mindset, with a passion for solving ambitious, open-ended problems. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Software Engineer, Trust & Safety, to design, build, and operate the large-scale, real-time distributed systems that stop abuse and fraud on the platform, including fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage. You will write the services, detection systems, and large language model (LLM) tooling that disrupt abuse at internet scale. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do: Design and build production services that detect and disrupt fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage Build detection systems that find abuse patterns across large datasets Ship LLM-driven systems for abuse detection, classification, and prevention, and build the datasets and evaluation pipelines that measure them Build and maintain internal tools for trust and safety workflows Analyze threat actor behavior to inform detection logic, and work with security, product, and infrastructure teams to move prototypes into stable production What you need: 5+ years of software engineering experience building large-scale, real-time distributed systems Wrote and shipped production code in JavaScript/TypeScript and Python, owning systems end to end from prototype through deployment and iteration Hands-on LLM experience, including prompt engineering, evaluation, and fine-tuning Operated production services on AWS Bonus if you: Shipped an AI-based trust and safety system to production Worked in abuse prevention, trust and safety, or security engineering Built or hosted a project on Vercel Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: India We are looking for a Technical Support Engineer II (TSE 2) to join our global Customer Support team. This role is ideal for someone with a strong technical foundation who is eager to grow into a subject matter expert. You will be responsible for troubleshooting complex customer issues, collaborating with engineering and product teams, and driving customer satisfaction through timely and effective solutions. As a TSE 2, you are expected to go beyond basic troubleshooting by performing in-depth analysis, mentoring junior engineers, and taking ownership of technical cases to closure. Key Responsibilities Serve as the primary technical contact for customers, managing support cases from initial intake through resolution. Troubleshoot, analyze, and resolve complex technical issues across product areas (networking, security, OS, applications, etc.). Reproduce customer issues in lab environments and document clear findings for Engineering escalation when required. Collaborate with Engineering, QA, and Product teams to drive bug fixes and product improvements. Mentor and assist TSE 1 engineers in case handling, best practices, and technical skill development. Ensure timely updates and clear communication with customers on case progress and action plans. Document solutions, troubleshooting steps, and knowledge base articles to enhance team efficiency. Participate in 24x7 on-call rotations, weekend shifts, or critical incident response as needed. Contribute to process improvements and best practices to improve customer experience. Requirements Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent hands-on experience). 3–5 years of experience in Technical Support, System Administration, or a related role. Strong troubleshooting skills in at least two of the following areas: Operating Systems: Windows, Linux/Unix Networking: TCP/IP, DNS, VPN, Firewalls, Routing Security Technologies: SIEM, IDS/IPS, endpoint security, SSL/TLS, PKI Databases/Applications: SQL, log analysis, application troubleshooting Familiarity with virtualization platforms (VMware, Hyper-V, or similar) and cloud technologies (AWS, Azure, GCP). Excellent problem-solving, analytical, and communication skills. Ability to handle high-pressure situations with professionalism and empathy. Preferred Qualifications Certifications such as CCNA, RHCSA, CEH, Security+, or equivalent. Experience with enterprise security products, SIEM tools, or incident response. Prior experience working with global customers in a 24x7 support environment. Ability to script or automate tasks (Python, PowerShell, Bash, etc.) is a plus. What We Offer Opportunity to work with cutting-edge security technologies and enterprise customers. Collaborative, diverse, and fast-paced work environment. Professional growth with learning and certification opportunities. Competitive compensation and benefits package.

Location: US / Remote Workplace: remote About the Company CertiK is the largest blockchain security auditor and provides a comprehensive suite of tools to secure the industry at scale. To date, CertiK has worked with over 4,900 Enterprise clients, secured over $557 billion worth of digital assets, and has detected over 18,000 vulnerabilities in blockchain code. Our clients include leading projects such as OKX, Tether, Ripple, and Pancakeswap. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance. About the Role  We are seeking a Junior Blockchain Security Engineer with a strong security mindset and foundational technical expertise across smart contracts, blockchain nodes, and decentralized infrastructure. In this role, you will support Web3 projects by assisting in code audits, contributing to security tools, and conducting research under guidance. If you are eager to grow your career in blockchain security and passionate about securing decentralized technologies, we’d love to hear from you. Responsibilities Audit and review codebases for smart contracts, blockchain protocols, and decentralized applications (dApps) to identify and remediate vulnerabilities. Conduct guided security research, explore new attack vectors, and deliver actionable insights. Contribute to the design, development, and maintenance of internal security tools and frameworks. Support improvements to internal processes, methodologies, and service offerings, ensuring high-quality delivery for clients. Requirements Bachelor’s, Master’s, or PhD in Mathematics, Computer Science, or Information Security. At least 1 years of hands-on experience with blockchain technologies, including: Smart contracts (EVM chains, Solana, Move, etc.), Blockchain protocols (nodes, SDKs, Cosmos, etc.) Experience in threat modeling, risk assessment, and security analysis. Proficiency in one or more programming languages: Rust, Go, Solidity, Python, etc. Passion for Cryptocurrency, DeFi, and Blockchain technologies. Preferred Qualifications Solid academic or practical background in Mathematics, Cryptography, or Cybersecurity. Demonstrated experience conducting audits and collaborating with leading Web3 protocols. Recognized achievements such as published CVEs, or strong placements in Attackathons, Bug Bounties, or Audit Contests. Compensation Target annual salary for this role performed in the US is $102,000 - $180,000. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. CertiK accepts applications for this position on an ongoing basis. CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.  CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf  All CertiK employees are expected to actively support diversity on their teams, and in the Company.