Вакансии

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 Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via Claude.ai , the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership. You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible. We have multiple teams that are currently hiring. 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 with the backend product efforts where they'll have the greatest impact and growth potential. What you'll do: Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. Beneficial Deployments: Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way. Vertical AI Products: Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come: Life Sciences — an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast. Enterprise AI Products: You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are: Extensibility — plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams. Context — enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker. Proactivity — Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need". Public Sector: Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them Enterprise Foundations: You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork. Growth: Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. You might be a good fit if you: Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack Are a technical expert in modern frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript) Take a product-focused approach to building solutions that are robust, scalable, and easy to use Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1 Care deeply in investing in the mentorship and growth of your peers Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority Have experience establishing engineering standards, component architectures, and development best practices Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: 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: Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models. We have multiple teams that are currently hiring. 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 with the backend product efforts where they'll have the greatest impact and growth potential: Platform Intelligence: You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack. Platform Ecosystem: The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line. We are hiring founding engineers for these two pillars. We are looking for engineers who have good product and business sense to drive strategy, dive into different stacks, and break through walls to drive these 0 -> 1 efforts. You'll be working closely with product, design, GTM, FDE, and other internal & external customers to build out and deliver on the strategy. Platform Serving: You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers. Developer Experience: You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers. Agentic Systems: You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production. Auth & Identity: We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience. Platform Distribution: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. Enterprise Foundations: We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly. Platform Safety: We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API, Claude.ai , and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale. You Might Be a Good Fit If You: Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use Care deeply about investing in the mentorship and growth of your peers Have experience with distributed systems, API design, and cloud infrastructure at scale Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Austin, US Lisbon, Portugal London, UK NYC, US About the Role The Egress team was formed to own a very important aspect of Cloudflare's network-as-a-service: Egress connectivity for our vast portfolio of products. As a member of the Egress team, you will be a key technical contributor to a cutting edge network software infrastructure used by a growing number of Cloudflare products to connect to any destination from Cloudflare's network. Among the products powered by this technology is WARP, our Zero Trust platform, and Cloudflare's egress proxy for the iCloud Private Relay product. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network. You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more. Engineering teams at Cloudflare operate a Run What You Build model, including ours. We are responsible for the health of our system and participate in our team's on-call rotation as part of operational responsibilities. Because you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values. Responsibilities Make daily progress on assigned engineering tasks, such as designing systems, writing specs, writing and pushing code via git, writing release plans for complex changes, rolling out production releases and working with other teams to coordinate system actions Participate in daily and ad-hoc team meetings to share progress and collaborate Participate in the team’s on-call schedule to ensure uptime of our production systems Investigating customer issues that are escalated to the Egress team for triage and resolution Responding to questions from other teams in the Egress team’s internal, public chat room Using AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving Desirable Skills, Knowledge, and Experience Programming experience in Go or Rust and a desire to improve your skills in both. A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model. Knowledge of HTTP, TLS, and CDN networks. Experience in implementing secure and highly-available distributed systems. Strong ability to debug issues in complex systems. Strong collaboration and communication skills. Experience/interest in HTTP networking and VPN technologies. Experience/interest in network performance monitoring and tuning. Willingness to adopt and integrate AI tools and systems into your engineering workflow. Bonus Points Knowledge of TCP/IP and Internet routing. Professional systems-level programming experience in Rust. Experience building tools and APIs. Experience with monitoring, alerting, and debugging large-scale distributed systems Experience participating in an on-call rotation. Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting. Compensation ● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000. The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements. Equity This role is eligible to participate in Cloudflare’s equity plan. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Rome, NY Primary Care Nurse Practitioner/Physician Assistant Location: Rome, NY Schedule: Full-Time (5 days per week) Salary per annum: $150,000 – $200,000 per year About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary Infinite Medical Group is currently hiring a Primary Care Nurse Practitioner/Physician Assistant (NP/PA) to provide on-site care to residents in long-term care settings. This is a full-time position ideal for a provider who values meaningful patient relationships and a collaborative care environment. Responsibilities Provide primary care services to residents in skilled nursing and long-term care facilities Perform physical exams and medical history assessments Diagnose and treat chronic and acute health conditions Order and interpret diagnostic tests and lab results Develop and adjust individualized care plans Prescribe medications and monitor treatment effectiveness Collaborate with facility staff and interdisciplinary teams Educate patients and families about treatment options and care goals Ensure a safe, respectful, and supportive environment for residents Requirements Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license State-specific license in good standing in New York Minimum 6 months of experience in long-term care or a skilled nursing facility Strong communication, clinical, and critical thinking skills Passion for elder care and person-centered healthcare Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum: $150,000 – $200,000 Health Dental Vision 401K Company-Sponsored Life Insurance Student Loan Repayment Program Paid subscription to UpToDate Paid Time Off Malpractice insurance coverage Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDH

Location: Hornell, NY Primary Care Nurse Practitioner/Physician’s Assistant Location: Hornell, NY Schedule: Full-Time (5 days per week) Salary per annum: $150,000 – $200,000 per year About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary Infinite Medical Group is currently hiring a Primary Care Nurse Practitioner/Physician’s Assistant (NP/PA) to provide on-site care to residents in long-term care settings. This is a full-time position ideal for a provider who values meaningful patient relationships and a collaborative care environment. Responsibilities Provide primary care services to residents in skilled nursing and long-term care facilities Perform physical exams and medical history assessments Diagnose and treat chronic and acute health conditions Order and interpret diagnostic tests and lab results Develop and adjust individualized care plans Prescribe medications and monitor treatment effectiveness Collaborate with facility staff and interdisciplinary teams Educate patients and families about treatment options and care goals Ensure a safe, respectful, and supportive environment for residents Requirements Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license State-specific license in good standing in New York Minimum 6 months of experience in long-term care or a skilled nursing facility Strong communication, clinical, and critical thinking skills Passion for elder care and person-centered healthcare Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum: $150,000 – $200,000 Health Dental Vision 401K Company-Sponsored Life Insurance Student Loan Repayment Program Paid subscription to UpToDate Paid Time Off Malpractice insurance coverage Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most.

Location: Valatie, NY Primary Care Nurse Practitioner/Physician’s Assistant Location: Valatie, NY Schedule: Full-Time (5 days per week) Salary per annum: $150,000 – $200,000 per year About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary Infinite Medical Group is currently hiring a Primary Care Nurse Practitioner/Physician’s Assistant (NP/PA) to provide on-site care to residents in long-term care settings. This is a full-time position ideal for a provider who values meaningful patient relationships and a collaborative care environment. Responsibilities Provide primary care services to residents in skilled nursing and long-term care facilities Perform physical exams and medical history assessments Diagnose and treat chronic and acute health conditions Order and interpret diagnostic tests and lab results Develop and adjust individualized care plans Prescribe medications and monitor treatment effectiveness Collaborate with facility staff and interdisciplinary teams Educate patients and families about treatment options and care goals Ensure a safe, respectful, and supportive environment for residents Requirements Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license State-specific license in good standing in New York Minimum 6 months of experience in long-term care or a skilled nursing facility Strong communication, clinical, and critical thinking skills Passion for elder care and person-centered healthcare Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum: $150,000 – $200,000 Health Dental Vision 401K Company-Sponsored Life Insurance Student Loan Repayment Program Paid subscription to UpToDate Paid Time Off Malpractice insurance coverage Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most.

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: We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day. We have multiple teams that are currently hiring. 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 with the backend product efforts where they'll have the greatest impact and growth potential. You might be a good fit if you: Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent distributed systems, cloud-native products, developer tools, or external developer facing products Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end Are proficient in Python, Go, Rust, or similar systems languages Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking Take full ownership of your work—from design through deployment and operations Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use Care about building systems that other engineers love to use Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 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: $405,000 — $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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Massachusetts Travel Certified Nursing Assistant Location: Massachusetts Schedule: Full-time (5 days per week) Salary: $50,000 - Based on an average of 38 patients seen per day worked; eligibility for a bonus for each additional patient seen beyond this number About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary Infinite Medical P.C. is seeking professional and compassionate full-time Certified Nursing Assistant to facilitate consults within a nursing home facility on behalf of our medical team. You will be assisting providers in Nursing Homes with a tablet device. A strong candidate will have great interpersonal skills and the ability to create a supportive environment. Responsibilities Coordinating with the designated facility contact for each location Following a pre-established list from the office to ensure that all patients are seen and provided with appropriate care Performing additional duties as required to facilitate medical services and clinical monitoring Traveling to various facilities across different states as needed to support operations Requirements Certified Nursing Assistant (CNA Board Certified ) Ability or experience working in a fast-paced environment Demonstrate the ability to maintain composure when confronted by difficult situations and to respond appropriately Flexibility to travel on short notice Currently resides in the state of Massachusetts License to drive Prolonged standing/walking. Lifting/moving patients. Lifting up to 20+ lbs. Frequent travel. Benefits Competitive salary: $50,000 - Based on an average of 38 patients seen per day worked; eligibility for a bonus for each additional patient seen beyond this number Health Dental Vision 401K Company-Sponsored Life Insurance Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Ireland About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and ability to ensure data accuracy Ability to work with global teams across time zones Clear communication skills About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE Auth https://supabase.com/auth, written in Go https://github.com/supabase/auth (server) and with client libraries for TypeScript https://github.com/supabase/supabase-js, SSR https://github.com/supabase/ssr and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features. WHAT YOU’LL BE RESPONSIBLE FOR - Designing and implementing secure, scalable authentication features in Go and TypeScript. - Working across the stack: from server-side protocols to client-side libraries for frameworks like Next.js. - Owning the performance, reliability, and scalability of the Auth server across Supabase's infrastructure. - Contributing to the evolution of our Auth architecture, including support for OAuth, OIDC, SAML, and other protocols. - Planning and executing safe database migrations across a large fleet of Postgres instances. - Building and improving observability: metrics, tracing, alerting, and dashboards to keep the system healthy at scale. - Writing and reviewing RFCs as part of our product development process. - Collaborating with engineers across Supabase to ensure a seamless experience for developers using our tools. - Supporting the community and responding to developer feedback on GitHub, Discord, and other channels. YOU MIGHT BE A GOOD FIT IF YOU - (Required) Have 4+ years of professional experience writing and shipping Go in production. - (Required) Have 2+ years of professional experience working on an authentication system (implementing protocol support, maintenance at scale). - (Required) Have strong relational database experience (Postgres or MySQL); Postgres experience is a bonus. - Have strong knowledge of TypeScript in addition to Go (languages used daily). - Have strong knowledge of web technology fundamentals (cookies, sessions, JWT, HTTP, browser APIs). - Have good knowledge of and deep interest in authentication security (passwords, protocols such as OAuth, OIDC or SAML, cryptography fundamentals such as hash functions, signatures and ciphers). - Have experience working with multiple web frameworks like Next.js (or other SSR alternative in the JavaScript space) and traditional web frameworks like Ruby on Rails, Django, Laravel or equivalent (in any language). - Have good technical writing skills (RFC process is an important part of making changes to the Auth product). - Have hands-on experience building and operating services at significant scale. - Have deep understanding of systems-level concerns: memory management, concurrency patterns, and compute resource optimization in Go. - Have experience with Kubernetes and AWS (or comparable cloud platform) in a production setting. - Have solid grasp of observability practices — metrics, distributed tracing, structured logging, and alerting (e.g., Prometheus, Grafana, OpenTelemetry). - Have experience managing database schema migrations safely at scale. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: London Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the London office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus

Location: London Perplexity is looking for a Search Machine Learning Engineer Intern to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. You will work closely with experienced engineers to improve search quality, experiment with new models, and ship features that directly impact how users search and discover information. Internship program: 12 - 24 weeks, full-time, in-person in the London office. Responsibilities: - Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers. - Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models. - Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks. - Support deployment and monitoring of search and ranking models in a scalable and performant way. - Help build and iterate on RAG pipelines for grounding and answer generation. - Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML. Qualifications: - Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems. - Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects. - Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required. - Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required. - Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment - Experience with Rust will be a plus

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. Responsibilities Design, implement, and maintain backend services for data storage and enrichment using Go Build and maintain pipelines for processing, validating, and enriching trading data. Optimize data storage schemas, queries, and performance in PostgreSQL . Collaborate with other engineering teams to integrate services and maintain system reliability. Participate in architectural discussions and contribute to long-term platform design. Write high-quality, maintainable, and tested code; review peers’ work. Support monitoring, troubleshooting, and incident resolution What makes you the perfect fit 5+ years of professional backend development experience, with strong proficiency in Go . Experience with relational databases, preferably PostgreSQL , including schema design, query optimization, and performance tuning. Strong understanding of data pipelines, batch and near-real-time processing. Experience designing fault-tolerant, high-load backend systems . Familiarity with distributed systems and microservices architecture. Excellent problem-solving skills and ability to collaborate with multiple teams. Will be a plus Experience with data enrichment, aggregation, or transformation pipelines. Knowledge of caching layers, indexing, or time-series data storage. Familiarity with streaming systems (Kafka, RabbitMQ, or similar). Experience in financial/trading domain. Exposure to cloud environments, containerization, and CI/CD practices. What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Almaty, Kazakhstan; Bishkek, Kyrgyzstan; Tbilisi, Georgia; Tashkent, Uzbekistan; Manila, Philippines; Cebu City, Philippines; Iloilo City, Philippines; Davao City, Philippines; Makati, Philippines; Quezon City, Philippines; Taguig, Philippines; Mirpur, Bangladesh; uttara, Bangladesh; Astana, Kazakhstan; Belgrade, Serbia; Batumi, Georgia; Sarajevo, Bosnia and Herzegovina; Skopje, North Macedonia Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. TechBiz Global GmbH is currently in search of a highly motivated Junior Lead Generation Specialist to join our esteemed Sales department. The successful candidate will play a pivotal role in our team by meticulously identifying and evaluating potential leads to bolster our sales initiatives. Conduct thorough research to identify potential leads across diverse channels, including cold calling Qualify and assess leads against defined criteria to ensure high quality Collaborate closely with the sales team to develop and execute effective lead generation strategies Build, manage, and maintain an up-to-date lead database Provide regular, detailed reports on lead generation activities and performance Utilize tools such as Apollo, LinkedIn Sales Navigator, and other relevant platforms Receive comprehensive training and access to all necessary tools and resources Fluent in English Strong communication skills, with willingness to engage in cold calling Ability to work in a fast-paced environment Strong attention to detail Team player with a positive attitude No prior experience in Lead Generation required Comfortable working with European timezone(09.00-18.00 German time) Our Offer: Fixed package + bonuses An attractive working environment with room for your own ideas, flat hierarchies, and short communication channels. A team that warmly welcomes you and stands by your side. Opportunities for personal training and career development. Opportunity to work from anywhere on a remote basis!

Location: Europe Workplace: Remote Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. We’re looking for a Principal Engineer to join the ML Platform team at Synthesia. Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented, so that workflows can increasingly be operated through reliable tooling rather than manual effort. We’re looking for a strong generalist with a systems mindset: - someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice. - this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments. This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it. WHAT YOU’LL DO - Design and improve the platform systems that support model training, evaluation, and production serving. - Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient. - Develop internal tools and workflows that are easy to operate both by humans and by agents. - Work on the architecture behind how models are deployed, served, and operated across research and product environments. - Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure. - Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers. - Drive improvements across observability, automation, reliability, and developer experience. - Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities. - Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows. YOU’LL THRIVE IN THIS ROLE IF YOU HAVE - Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability. - A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability. - Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation. - Experience with Kubernetes and operating distributed workloads in production. - Strong coding skills, ideally in Python or similar languages used for backend systems and tooling. - Strong judgment around where automation adds leverage, and where human control and reliability matter most. - Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers. - Comfort working in ambiguous environments and taking ownership of open-ended technical problems. - A pragmatic approach: you care about solving the right problem well, not over-engineering. PARTICULARLY RELEVANT EXPERIENCE - Operating ML infrastructure or model serving systems in production. - Supporting research or data-intensive workloads. - Working with GPU-based systems or other performance-sensitive infrastructure. - Experience with observability and debugging in distributed systems. - Familiarity with Terraform, Datadog, GitHub Actions, or similar tools. BONUS POINTS FOR - Experience building agentic or LLM-powered internal tools. - Experience with workflow orchestration systems such as Temporal. - Experience working at the boundary between research and production engineering. - Familiarity with performance optimization, scheduling, or resource allocation problems. - Experience building lightweight product or developer-facing tools.

Location: Espoo; Berlin Workplace: Hybrid - Title: Staff Platform Engineer - Department: Platform & Release Engineering - Location: Espoo, Finland / Berlin, Germany - Reports to: Infrastructure Engineering Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior / Staff Platform Engineer, you’ll own and evolve the foundations that all services rely on, leading the design and operation of a secure, scalable Kubernetes platform across cloud and on-prem environments so product teams can ship faster with less friction and stronger reliability at scale. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design, operate, and continuously improve a secure, scalable, and resilient Kubernetes platform across cloud and on-prem environments - Build and maintain standardized platform capabilities such as ingress, service mesh, secrets management, and lifecycle automation - Develop reusable infrastructure patterns and Terraform modules for AWS and on-prem platforms to enable fast, auditable provisioning - Strengthen observability through clear metrics, logs, traces, dashboards, and actionable alerting that support effective operational decisions - Reduce platform friction for product teams by providing architectural guidance, platform standards, and hands-on enablement - Automate platform lifecycle management including bootstrap, upgrades, scaling, and operational maintenance to reduce manual effort and risk - Drive technical direction and sound architectural choices across platform engineering with pragmatic trade-offs between reliability, security, speed, and maintainability - Help raise engineering maturity by mentoring others and shaping shared engineering standards across teams WHAT WE’RE LOOKING FOR MUST HAVES: - 8+ years of experience in Platform Engineering, SRE, DevOps, or infrastructure roles operating production-critical services at scale - Deep hands-on expertise with Kubernetes, including cluster architecture, upgrades, control plane operations, networking, ingress, storage, security, and lifecycle management - Strong understanding of AWS fundamentals, including networking, IAM, compute, storage, and security patterns - Strong experience with Terraform and infrastructure as code, including reusable modules, abstractions, and scalable provisioning patterns - Strong practical observability experience, including SLO and SLI design, instrumentation, dashboarding, alert strategy, and production performance analysis - Proficiency in at least one backend language such as Python or Go for automation, tooling, and internal platform capabilities - Experience providing technical leadership through platform standards, architectural guidance, and hands-on enablement - Ability to operate effectively in complex environments and make pragmatic technical decisions across reliability, security, speed, and maintainability NICE TO HAVES: - Experience with Rancher, Istio, External Secrets, Vault, and software supply-chain hardening practices - Experience operating Kubernetes in restricted, disconnected, or air-gapped environments - Experience with hybrid platforms spanning AWS and on-prem environments such as vSphere or VxRail APPLICATION PROCESS - Talent Attraction Introduction - Hiring Manager Alignment - Task Assignment - Technical Interview - Director Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Espoo Workplace: Hybrid - Title: Senior RF Engineer, Radar Payload Team - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: Radar Payload Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As a Senior RF Engineer, you’ll own end-to-end RF hardware development for ICEYE’s radar payloads, enabling high-performance SAR capabilities that deliver actionable intelligence from space in near real time. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Own RF subsystems across the radar chain, including Tx/Rx, front-end, frequency conversion, LO and filtering stages, and interfaces to digital - Translate mission needs into RF requirements, architecture trades, and implementable hardware designs - Design, simulate, and validate RF circuits for X-band and above, ensuring performance aligns with system targets - Execute hands-on lab work, including bring-up, debugging, root-cause analysis, and RF performance tuning - Run EM and circuit simulations and correlate results with measurements to de-risk designs - Create and review schematics and PCB layouts with RF-critical considerations such as impedance control, grounding, and isolation - Define and execute verification strategies, including test plans, validation, and acceptance criteria - Drive technical decisions, mentor engineers, and collaborate cross-functionally to deliver flight-ready hardware WHAT WE’RE LOOKING FOR MUST HAVES: - 10+ years of experience delivering RF hardware products end-to-end, including shipped or qualified systems - Strong hands-on RF lab expertise with measurement, debugging, and correlation using standard RF test equipment - Proven experience with RF simulation tools such as ADS and 3D EM tools such as HFSS or CST - Solid PCB design experience with RF layout best practices, using tools such as Altium - Deep understanding of RF fundamentals including linearity, noise figure, phase noise, spurs, filtering, and stability - Experience owning RF subsystems across the full lifecycle from requirements through production support - Ability to lead technically, make trade-offs, and communicate clearly across disciplines - Working knowledge of Python for analysis, automation, or tooling NICE TO HAVES: - Experience with radar payloads, spaceborne RF systems, or aerospace or defense hardware - Familiarity with ECSS, MIL-STD, or similar qualification and environmental testing standards - Experience with antenna systems, RF packaging, or high-power and low-noise RF design APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Espoo Workplace: Hybrid - Title: Electronics Engineer, Radar Payload Team - Location: Espoo, Finland - Department: Spacecraft Hardware - Reports to: Radar Payload Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO) WHY THIS ROLE MATTERS: As an Electronics Engineer, you’ll design and deliver critical electronic subsystems that enable ICEYE’s radar payloads to operate reliably in space and produce high-quality Earth observation data. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Design board-level electronic systems for satellite radar units and RF boards, focusing on power and control circuits - Develop microcontroller-based solutions for power management and control - Test and validate electronic designs to ensure functionality, performance, and compliance with requirements - Document schematics, PCB layouts, and test procedures throughout development - Collaborate with RF, mechanical, and software teams to deliver integrated payload systems - Support troubleshooting and iteration during development and testing phases - Contribute to improving reliability and performance of electronic subsystems in demanding environments WHAT WE’RE LOOKING FOR MUST HAVES: - 4+ years of experience in electronics engineering with a focus on practical product development - Strong experience in analog electronics design - Experience with PCB design tools such as Altium - Experience designing power control circuits, including for high-power RF amplifiers and low-noise supplies - Solid understanding of high-speed signal design fundamentals - Hands-on experience with testing and validation of electronic systems - Ability to collaborate effectively across engineering disciplines NICE TO HAVES: - Knowledge of EMI and EMC principles and best practices - Experience in aerospace, satellite, or defense-related hardware development - Fundamental understanding of RF systems and integration APPLICATION PROCESS - Recruiter screening - Hiring manager interview - Technical task - Technical panel interview - Final interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.