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Location: Stamford, CT Cardiology Nurse Practitioner/ Physician Assistant Location: Stamford, CT Schedule: Full-Time (5 days per week) Total Annual Compensation: $150,000.00 - $200,000.00 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 We are seeking a friendly and compassionate Cardiology Nurse Practitioner or Physician Assistant to join our team. As a Cardiology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with heart-related conditions. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. . Responsibilities Perform comprehensive patient assessments, including physical examinations, medical histories, and diagnostic tests Collaborate with cardiologists to develop and implement treatment plans for patients with cardiovascular conditions Administer medications, monitor patient responses, and adjust treatment plans as necessary Conduct cardiac stress tests, electrocardiograms (EKGs), and other diagnostic procedures Educate patients and their families about cardiovascular health, preventive measures, and the importance of medication adherence Provide counseling and emotional support to patients and their families Knowledge of CMS Regulations and NCQA HEDIS Guidelines Document accurate medical records to ensure compliance with OSHA and Government regulations and perform duties in accordance with site quality and safety systems Collaborate with the interdisciplinary team Analyze and organize the care of critically complex patients Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program Preferred experience in cardiology: training provided Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Carrying medical equipment. Lifting/moving patients. Benefits: Competitive compensation per annum : $150,000.00 - $200,000.00 Health Dental Vision 401K Company-Sponsored Life Insurance Paid Time Off Malpractice Insurance Paid subscription to Up-to-date 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. #INDL

Location: Europe, Remote About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We’re looking for a passionate Senior Software Engineer to collaborate on building the next-generation AI coding platform. This is a rare opportunity to join an early-stage company founded by Andrew Filev (founder of a unicorn startup) — to help scale it into a thriving, world-changing business. Together, we’re shaping the future of software development — closing the gap between idea and reality, and influencing not only how code is written, but how progress happens across every field that depends on software. Key Responsibilities You’ll take ownership of designing and building key features. Our stack currently consists of TypeScript and Kotlin and you may be expected to work across all of them. This is not a “just code what’s assigned” role — we’re looking for people with a product mindset, who think deeply about users, bring ideas for product growth, and aren’t afraid to propose and launch new things. We value people who make things happen through their own enthusiasm, rather than waiting for managers to tell them what to do. Here, individual contributors hold the highest status — they are the driving force behind the company’s progress. You’ll work alongside top professionals in an environment that celebrates curiosity, creativity, and results. Essential Qualifications 10+ years of experience building complex, production-grade applications, including deep expertise in backend development in Java / Kotlin / TypeScript. Strong computer science foundation combined with a deep understanding of modern software architecture and design principles — and a proven record of applying them effectively in real-world, user-facing products. Product mindset — you think beyond code, care about the “why” behind the feature, and proactively contribute ideas that make the product better for users. Strong sense of ownership — you take initiative, drive projects from concept to launch, and thrive when given autonomy and accountability for outcomes. Deep familiarity with AI assistants, a solid grasp of the evolving AI landscape, and the ability to translate trends and capabilities into practical product improvements. Proven ability to collaborate effectively within a fast-moving, cross-functional team — communicating clearly, sharing context, and supporting others to achieve shared goals. Passion for continuous learning, experimentation, and innovation — you stay curious, adapt quickly, and always look for ways to push the boundaries of what’s possible. Comfort working in dynamic, fast-changing environments — ideally with prior experience in start-ups or early-stage teams where clarity must often be created, not awaited. Experience or a strong interest in building collaborative, real-time systems is beneficial. Why Join Zencoder? Shape the Future of Software Creation: We’re not just improving how developers write code — we’re redefining how ideas turn into reality. By closing the gap between concept and execution, we’re creating tools that will influence every industry that relies on software. Massive Impact, Real Ownership: At Zencoder, you’ll have full visibility into how your work moves the product and the company forward. You’ll ship features that matter, see the immediate impact of your decisions, and get feedback directly from users — fast. ICs Are the Core: Individual Contributors are the highest-status role at Zencoder. Our culture celebrates those who lead by doing — who create momentum, inspire others, and turn ideas into shipped products. High-Caliber Team & Founder: Work alongside exceptional AI and software engineers, and learn directly from Andrew Filev, founder of a unicorn startup, who brings deep expertise in scaling world-class technology companies. Global & Flexible: We hire talent, not coordinates. Work from wherever you’re happiest and most productive — as long as you bring the energy, focus, and results. Aligned Incentives: Our equity plan ensures that when we succeed, you succeed. Your impact compounds as the company grows. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE: We’re looking for a Senior Product Marketing Manager to help accelerate the growth of Replit Agent— a core part of our mission to allow anyone to build software, without any coding experience. This role sits at the crossroads of product, engineering, and go-to-market, ensuring that every new feature we ship lands with clarity, excitement, and impact. You’ll work closely with our engineers, PMs and Partnership teams to understand the product roadmap, then translate those innovations into compelling narratives that resonate with builders of all kinds — from solo builders to enterprise teams. You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives. Replit moves fast — we ship continuously, experiment relentlessly, and aim to make every builder more productive and creative. We’re looking for someone who thrives in that environment: part strategist, part storyteller, and part operator. WHAT YOU’LL DO: - Lead Product Marketing for our Launches Develop and operationalize Replit’s launch motion — from early roadmap planning through public release. Create repeatable frameworks that keep launches fast, clear, and coordinated. - Shape Messaging & Positioning Craft technically fluent, developer-first narratives that highlight how Replit’s AI coding agent accelerates creativity and productivity. Tailor messaging to different developer segments and channels. - Create Sales & Growth Enablement Build the first generation of enablement materials (decks, demos, battlecards, FAQs) that empower GTM teams and partners to tell Replit’s story confidently. - Lead Competitive and Market Insights Stay ahead of the fast-moving landscape in AI coding assistants and app development platforms. Identify key trends, threats, and whitespace opportunities that shape how Replit stands out. - Co-market with our Partner ecosystem You’ll also leverage your storytelling expertise to collaborate with our partner ecosystem, crafting compelling “Better Together” narratives that elevate our joint value and propel partner marketing initiatives - Analyze & Learn Define metrics, gather insights, and feed back learnings from the field and community to inform product and marketing strategies. YOU'LL BE A GOOD FIT IF YOU: - Have 8+ years of work experience, including 6+ years in product marketing (ideally within the app development space) - Love building from scratch — frameworks, processes, teams, and strategy - Excellent written communication and storytelling skills, with the ability to simplify complexity - Are equally comfortable writing a launch announcement, building a competitive teardown, or running a cross-functional sync - Have a founder mindset: you identify gaps and fill them, move quickly, and don’t wait for someone else to define the playbook - Proven ability to partner directly with engineers and product managers, turning technical concepts into simple, powerful stories - Strong project management skills — you can juggle multiple launches and keep teams aligned under pressure - Experience with sales enablement and competitive positioning for technical audiences - A collaborative, low-ego approach and willingness to dig into the details BONUS POINTS: - Experience in app development space or marketing to product managers, designers, sales, marketing or operations teams - Experience with Partner/Ecosystem Marketing- to start with, we are looking for a generalist who can also help out with Partner Marketing - Experience at a startup or high-growth environment where speed and adaptability matter - Understanding of AI and machine learning technologies - A track record of successful launches for developer-facing products EXAMPLE PROJECTS: - Establishing a repeatable launch rhythm for major features and smaller updates - Building a competitive intelligence framework for the AI coding assistant space - Developing persona-driven messaging for builders across different segments and company sizes - Launching and executing co-marketing initiatives with Replit’s partner ecosystem - Coordinating cross-functional launches with engineering, product and marketing - Defining metrics and feedback loops between product, marketing, and the our builder community This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco, United States About Us Whizz is transforming delivery services by being a reliable and affordable provider of electric bicycle solutions. Our vision is to provide the most affordable transportation in history. Our principles include caring for our customers and addressing any issues. With simplified sign-up and usage processes and affordable prices, we create an environment where riders earn more, stay safe, and strengthen their community connections. Whizz is already the #1 e-bike subscription provider for riders in the U.S. Your Role As a Team Leader, you will manage and support our sales team, promoting Whizz’s e-bike services to riders. You will train, mentor, and motivate the team to achieve ambitious sales targets while establishing Whizz in a brand-new market. Key Responsibilities: Sales: Identify potential clients, present and sell our e-bike solutions, and consistently meet weekly and monthly goals. Onboarding & Training: Deliver in-field training, mentor team members, and support continuous growth. Management & Coaching: Oversee daily operations, create schedules, and optimize sales processes. Reporting: Track sales performance, analyze data, and provide regular reports to management. Requirements Proven experience in active sales (field sales, cold calling, B2B or B2C). Understanding of immigrant communities (personal experience or strong connections). Results-oriented, proactive, and open to learning from mistakes. Comfortable working in a startup environment, adaptable and flexible. Strong communication and leadership skills to build and motivate a high-performing team. Experience running your own business is an asset. Familiarity with the delivery industry and the e-bike market is a plus. Legally authorized to work in U.S Benefits Competitive Pay: Base salary plus performance-based bonuses. Bonuses & Incentives: Rewards for both individual and team achievements. Comprehensive Training: Continuous support and professional development. Flexible Schedule: Approximately 20 hours per week with flexibility to manage tasks. Startup Culture: An opportunity to make an impact, implement ideas, and grow with the company. Supportive Environment: Work with a motivated and collaborative team.

Location: Lagos, Nigeria; Beograd, Serbia; Limassol, Cyprus; Belarus; Moscow, Russia We’re looking for a Head of Product (Digital Collection) to shape and scale our digital collection ecosystem - from strategy and analytics to automation and technology. Your mission will be to build data-driven tools, optimize collection processes, and enhance recovery efficiency through smart products and innovation. Key Responsibilities: Develop, implement, evaluate, and continuously optimize collection strategies, tools, methods, and analytical models. Define and manage key KPIs for the collection department to ensure sustainable portfolio growth and operational efficiency. Identify growth opportunities, design and run pilot projects, test and implement new strategies. Drive process automation across collection operations — manage, assess, and modernize technical systems, including telephony and robotic solutions. Deploy and refine collection scoring models to improve segmentation and recovery outcomes. Collaborate with external vendors and technology partners to identify, integrate, and implement innovative solutions. Analyze key performance indicators for collection and pre-collection, monitor delinquency trends, and identify deviations and growth points. Automate analytics and reporting, manage the KPI system, and oversee team performance evaluation and motivation within the collection department. Requirements 3+ years of experience in a similar leadership role within a bank, microfinance organization, or collection agency. Proven experience in designing, launching, and optimizing business processes in the debt collection domain. Experience implementing and maintaining automated collection systems (including configuration of robotic tools and telephony). Strong technical acumen: understanding of APIs, system integrations, backlog management, and task prioritization. Solid SQL knowledge and ability to work with databases to analyze and optimize collection strategies. Data-driven and systematic approach to collection management — capable of translating ideas into measurable results and vice versa. Benefits Opportunity: The opportunity to work in an innovative fintech company with a global reach Benefits: Competitive salary, paid vacations and additional day-offs Growth Potential: Accelerating your product leadership career in a high-growth, innovation-driven fintech. Purpose: Build tools that empower thousands of clients to thrive and suceed.

Location: San Francisco, CA | New York City, NY | Seattle, WA; Washington, DC 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 At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. That's why we are seeking an exceptional Detection and Response engineer that will be on the frontlines to build solutions to monitor for threats, rapidly investigate incidents, and coordinate response efforts with other teams. In this role, you will have the opportunity to shape our security capabilities from the ground up alongside our world-class research and security teams. Responsibilities: Lead cybersecurity Incident Response efforts covering diverse domains from external attacks to insider threats involving all layers of Anthropic’s technology stack Develop and deploy novel tooling that may leverage Large Language Models to enhance detection, investigation, and response capabilities Create and optimize detections, playbooks, and workflows to quickly identify and respond to potential incidents Review Incident Response metrics and procedures and drive continuous improvement Work cross functionally with other security and engineering teams Note: This position will require participation in an on-call rotation You may be a good fit if you: 3+ years of software engineering experience, with security experience a plus and/or 5+ years of detection engineering, incident response, or threat hunting experience A solid understanding of cloud environments and operations Experience working with engineering teams in a SaaS environment Exceptional communication and collaboration skills An ability to lead projects with little guidance The ability to pick up new languages and technologies quickly Experience handling security incidents and investigating anomalies as part of a team Knowledge of EDR, SIEM, SOAR, or related security tools Strong candidates may also have experience with: Experience performing security operations or investigations involving large-scale Kubernetes environments A high level of proficiency in Python and query languages such as SQL Experience analyzing attack behavior and prototyping high quality detections Experience with threat intelligence, malware analysis, infrastructure as code, detection engineering, or forensics Experience contributing to a high growth startup environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 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: Poland; Ukraine; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Remote We are looking for a Trading Operations Specialist to support our algorithmic trading activities. Your main responsibility will be to ensure that trading runs smoothly, reliably, and safely, through careful execution of operational checks, real-time monitoring, and timely escalation. This is a hands-on role, not a management track - ideal for someone detail-oriented, disciplined, and motivated to work in a regulated algo-trading environment What You’ll Be Doing: Execute pre- and post-session checks to confirm system readiness and close out procedures Monitor intrasession invariants (positions, connectivity, latency, market data consistency, error rates) and promptly escalate deviations Follow escalation procedures to involve the right people at the right time when anomalies arise Contribute to continuous improvement of anomaly detection quality, incident reaction times, and communication efficiency Keep accurate operational records and logs for auditability and learning Shift-based schedule, ensuring reliable coverage across required trading hours. What We Look For In You: Bachelor’s degree in Finance, Economics, Mathematics, or related field (or equivalent practical experience) 3 years in trading operations, trade support, or market surveillance (experience in algo/electronic trading is a plus, but not required) Solid understanding of how financial markets and trading systems operate High attention to detail and ability to stay calm under pressure Comfortable following structured procedures while also spotting where they can be improved Clear communicator in English, able to escalate effectively and work with multidisciplinary teams Why Should You Join Our Team? Join an international team of highly qualified professionals Work remotely from an eligible location within the UTC−11 to UTC−5 time zone range. 40 paid days off Competitive salary

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About GalaxyOne: GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U.S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at galaxy.app and you can learn even more here: " The Launch of GalaxyOne with Zac Prince " and " GalaxyOne on FOX Business ." Who You Are: This role is a Senior Back End Developer ( Lending/Commercial) for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy. This role is office-based and candidates must be based in Mumbai, India , to qualify. What You’ll Do: Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications. Help foster a culture of technical excellence, collaboration, and continuous learning. Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services. Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes. Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks. Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements. What We’re Looking For: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). 7+ years of experience in back-end development, with at least 2 years in a senior role. Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services. Strong experience with SQL and some exposure to NoSQL is nice to have. Experience with Microservices and Event based architecture. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) Experience in using Caching and Messaging Queues like Kafka. Experience using Postman and Git / Bitbucket. Bonus Points: Prior experience working in a startup, taking a product from zero to one. Experience in financial markets or brokerages. What We Offer: Competitive base salary and discretionary bonus Competitive paid time off Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching sessions through Headspace Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: San Francisco, CA | New York City, NY; 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 research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate the development of new research applications Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration Contribute to technical strategy and architectural decisions for research tooling Mentor other engineers and help establish best practices for research application development You may be a good fit if you Have 5+ years of software engineering experience with a strong focus on full-stack development Excel at rapid iteration and shipping—you can move from concept to working prototype quickly Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) Demonstrate high agency and ability to operate independently in ambiguous environments Can quickly develop deep understanding of complex technical domains Have strong product instincts and can identify the right problems to solve Are proficient with modern web technologies (React, TypeScript, Python, etc.) Have a track record of building user-facing applications that are actually used and loved by their target audience Communicate effectively with both technical and non-technical stakeholders Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have Experience building research tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools Built open-source tools or platforms with active user communities Experience with data visualization, interactive interfaces, or novel interaction paradigms Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products) Experience leveraging AI/LLMs to build more powerful or efficient tools Previous work in creative tools, artist tools, or other domains requiring deep user empathy Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment Representative projects Building interfaces for collecting and managing human feedback on model outputs at scale Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs Developing visualization tools that help researchers understand model behavior and identify failure modes Designing reusable components and frameworks that enable rapid development of new research applications Building sandboxed execution environments for safely running AI-generated code 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: $300,000 — $405,000 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: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions is looking for a talented BMC Helix Integration / Automation Specialist to join our dynamic team remotely. In this pivotal role, you will be tasked with creating and implementing automation solutions using BMC Helix integration tools. Your contributions will be essential in streamlining operations and enhancing client satisfaction through effective integration strategies. Key Responsibilities: Develop and implement integration solutions utilizing BMC Helix to facilitate smooth data exchanges across various applications. Create automation workflows aimed at improving operational efficiencies and reducing manual tasks. Engage with clients to understand their unique requirements and translate these into technical specifications for integration. Perform ongoing monitoring and troubleshooting of integration systems to ensure continuous improvement and reliability. Document and maintain detailed records of integration processes, workflows, and operational guidelines. Keep abreast of new features and best practices related to BMC Helix and integration technologies. Requirements Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related discipline. 3+ years of experience in integration or automation roles, specifically with BMC Helix. Comprehensive understanding of integration frameworks, methodologies, and tools. Proven experience in creating automation scripts and workflows. Proficiency in programming languages such as Python, Java, or equivalent. Familiarity with RESTful APIs, web services, and data exchange protocols. Strong analytical, troubleshooting, and problem-solving capabilities. Exceptional communication skills to collaborate effectively with clients and team members. A self-starter who can work independently and manage multiple tasks effectively in a remote setting. Experience with cloud services and platforms is advantageous.

Location: Madrid, Spain; Paris, France; Berlin, Germany; Lisbon, Portugal; Rome, Italy As a BMC Helix Administrator (Remote) at Müller’s Solutions, you will play a vital role in maintaining and optimizing our BMC Helix environments. This remote position requires extensive knowledge of the BMC Helix platform, where you will be responsible for administering system configurations, managing user access, and ensuring high availability of our service management processes. You will collaborate with technical teams and stakeholders to implement best practices and streamline operations. Key Responsibilities: Administer BMC Helix applications, including workflows, dashboards, and reports, ensuring optimal performance and reliability. Monitor system health and performance, proactively identifying and resolving issues to minimize downtime. Provide technical support and training to end-users, facilitating the effective use of the platform. Manage system upgrades, patches, and configuration changes in collaboration with cross-functional teams. Document system configurations, maintenance procedures, and best practices for future reference. Analyze system functionalities and stakeholder needs to recommend enhancements and improvements. Stay up-to-date on BMC Helix developments and contribute to the continuous improvement of our IT service management solutions. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3-5 years of experience in administering BMC Helix or similar IT Service Management platforms. Strong knowledge of BMC Helix architecture, components, and administration. Experience with incident, problem, and change management workflows within BMC Helix. Excellent problem-solving skills and the ability to work independently in a remote setting. Strong communication skills to collaborate effectively with remote teams and stakeholders. BMC certifications or relevant training in ITSM are a plus. Preferred Qualifications: Familiarity with scripting languages for automation (e.g., Python, Ruby). Understanding of Agile methodologies and experience in an Agile environment. Experience with integration of BMC Helix with other enterprise applications. Proven ability to mentor and train junior staff. Proactive approach to system optimization and user support.

Location: San Francisco, CA 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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science – working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 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. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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 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: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. Think of us as doing "neuroscience" of neural networks using "microscopes" we build - or reverse-engineering neural networks like binary programs. More resources to learn about our work: Our research blog - covering advances including Monosemantic Features and Circuits An Introduction to Interpretability from our research lead, Chris Olah The Urgency of Interpretability from CEO Dario Amodei Engineering Challenges Scaling Interpretability - directly relevant to this role 60 Minutes segment - Around 8:07, see a demo of tooling our team built New Yorker article - what it's like to work on one of AI's hardest open problems Even if you haven’t worked on interpretability before, the infrastructure expertise is similar to what's needed across the lifecycle of a production language model: Pretraining: Training dictionary learning models looks a lot like model pretraining - creating stable, performant training jobs for massively parameterized models across thousands of chips Inference: Interp runs a customized inference stack. Day-to-day analysis requires services that allow editing a model's internal activations mid-forward-pass - for example, adding a "steering vector" Performance: Like all LLM work, we push up against the limits of hardware and software. Rather than squeezing the last 0.1%, we are focused on finding bottlenecks, fixing them and moving ahead given rapidly evolving research and safety mission The science keeps scaling - and it's now applied directly in safety audits on frontier models, with real deadlines. As our research has matured, engineering and infrastructure have become a bottleneck. Your work will have a direct impact on one of the most important open problems in AI. Responsibilities: Build and maintain the specialized inference and training infrastructure that powers interpretability research - including instrumented forward/backward passes, activation extraction, and steering vector application Resolve scaling and efficiency bottlenecks through profiling, optimization, and close collaboration with peer infrastructure teams Design tools, abstractions, and platforms that enable researchers to rapidly experiment without hitting engineering barriers Help bring interpretability research into production safety audits - with real deadlines and high reliability expectations Work across the stack - from model internals and accelerator-level optimization to user-facing research tooling You may be a good fit if you: Have 5-10+ years of experience building software Are highly proficient in at least one programming language (e.g., Python, Rust, Go, Java) and productive with Python Are extremely curious about unfamiliar domains; can quickly learn and put that knowledge to work, e.g. diving into new layers of the stack to find bottlenecks Have a strong ability to prioritize the most impactful work and are comfortable operating with ambiguity and questioning assumptions Prefer fast-moving collaborative projects to extensive solo efforts Are curious about interpretability research and its role in AI safety (though no research experience is required!) Care about the societal impacts and ethics of your work Are comfortable working closely with researchers, translating research needs into engineering solutions. Strong candidates may also have experience with: Optimizing the performance of large-scale distributed systems Language modeling fundamentals with transformers High Performance LLM optimization: memory management, compute efficiency, parallelism strategies, inference throughput optimization Working hands-on in a mainstream ML stack - PyTorch/CUDA on GPUs or JAX/XLA on TPUs Collaborating closely with researchers and building tooling to support research teams; or directly performed research with complex engineering challenges Representative Projects: Building Garcon , a tool that allows researchers to easily instrument LLMs to extract internal activations Designing and optimizing a pipeline to efficiently collect petabytes of transformer activations and shuffle them Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization Building a steered inference system that applies targeted interventions to model internals at scale (conceptually similar to Golden Gate Claude but for safety research) Role Specific Location Policy: This role is based in the San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 — $560,000 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: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring junior engineers to work across the breadth of our Ubuntu Engineering organisation -  engineers who care deeply for quality, performance and resilience in software, engineers who are just as comfortable designing and engineering new software as they are packaging, integrating, testing and shipping the incredible catalog of open source software provided by the Ubuntu repositories. Our engineers integrate the freshest open source software, provide robust upgrade paths and engineer the future of Ubuntu. Ubuntu is not just the world’s most deployed open source operating system, it's a platform that enables innovation for millions of users across the globe. Our community represents the full breadth of the developer experience; from students, hobbyists and freelancers to high performance engineering and creative teams in corporate and academic environments. The four key teams that ship Ubuntu are Foundations : maintaining foundational software: architectures, package managers, compilers, toolchains, bootloaders, filesystems and core utilities Server: leading the design, evolution and future of our Ubuntu Server distribution Desktop: driving Ubuntu Desktop, our future immutable desktop: Ubuntu Core Desktop, WSL, gaming technology, and a suite of modern applications for the desktop crafted with Flutter Debcrafters: a new team responsible for the forward movement, maintenance and overall health of the Ubuntu archive: one of the most abundant repositories of open source software available today Bring your existing expertise and learn new skills by working on one of the most prolific pieces of open source software. As an engineer working on Ubuntu you could work on any or all of the following categories: Development : design, build and ship new foundational systems software and applications in Rust, Go, Flutter, and Python Architecture : engineer the integration of open source from boot firmware to cloud applications deployment Packaging : a combination of Debian and Snap packaging to ship software in the distribution Automation : build and maintain the machinery responsible for building, testing and shipping Ubuntu Distro Engineering : the maintenance and evolution of a Linux distribution and its repositories If you have skills in those areas, or you have other skills you believe could contribute to Ubuntu, and you're keen to get started building your career in open source, then this is the role for you. Our junior career path caters for both new graduates and early careers engineers. At Canonical, you will have the opportunity to engage with and contribute to the broader open source community. We're looking for individuals who can help build a thriving community and contribute with enthusiasm and precision to a broad range of technologies. Location : We have remote roles open in every time zone. The role entails Based on the first round of interviews, we identify specific teams where you might be an excellent fit and conduct second-round interviews with those teams. Our engineers are: Designing, building and shipping software in Rust, Go, Python and C/C++ Packaging, integrating, testing and uploading open source software to the Ubuntu repositories Debugging issues, then designing and delivering robust solutions Authoring and improving technical and community documentation Contributing to upstream and neighboring open source projects Collaborating as part of a globally distributed team Continuously learning and progressing their technical and professional skills What we are looking for in you An exceptional academic track record from both high school and university Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path Drive and a track record of going above and beyond expectations A passion for open source software Experience with Rust, Go, Python, Flutter or C/C++ Professional written and spoken English Excellent communication and interpersonal skills Ability to travel twice a year, for company events up to two weeks each Nice-to-have skills Familiarity with Linux distributions Familiarity with system debugging tools and techniques Familiarity with automation tooling and CI/CD systems Experience contributing to open source projects What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Jackson, United States As Production Shift Manager you will have full accountability and oversight of the shift manufacturing operation. You will be direct supervisor of all shift production associates with dotted line supervisory responsibilities for QC and Maintenance team members on shift. Your mission will be to lead your team to success by meeting the business objectives while ensuring every team member finds fulfillment in their contribution to the success of our organization. This entails ownership of the shift performance. There are two components to this position: Operational – Supervision of daily tasks and activities. Tactical – Development of action plans and project leadership. You will have an active role in creating the road map to success by contributing to the development of strategies to support our goals. Safety is our number 1 priority. The Production Shift Manager will be a safety advocate and ensure that all plant activities and tasks are conducted in a manner that is in compliance with all safety policies and protocols. You will see that all day to day activities and processes are carried out in compliance with our policies and procedures so daily objectives and expectations are met. Clearly define and approve the duties and responsibilities of all personnel. Ensure that all equipment is properly maintained and safe to operate. Maintain the required staffing level to meet production requirements. Ensure production schedule meets customer requirements. Ensure that all personnel’ s training is current. Ensure that housekeeping is in compliance with our standards. You will be given the opportunity to make a difference by leading continuous improvement projects in the areas of safety, quality, efficiency, lean manufacturing, process engineering and people development. What you will bring: Strong leadership abilities. Sense of urgency. Winning mindset. Passion to drive excellence. Decisiveness Motivation to make a difference. Ability to create an environment in which team members feel valued, heard, trusted and empowered. Desire to foster learning and development to enable team members to reach their potential. Education and Work Experience Requirements: Bachelor’s degree or equivalent experience. A minimum of 5 years of experience in a manufacturing environment . A minimum of 3 years in a leadership role. Must have strong problem solving/analytical skills. Experience with continuous improvement tools (lean, 5S, six sigma, SPC, RCA, PDCA) strongly desired. Must have strong computer skills.

Location: ASTORIA GRANDE, Worldwide ISMIRA Agency is hiring GALLEY UTILITY for ASTORIA GRANDE cruise ships! ASTORIA GRANDE invites Russian-speaking employees to join its team to work on a cruise ship to Turkey and Egypt with departure from Sochi to the shores of the Black, Aegean, Marmara and Mediterranean Seas. Astoria Grande visits the unique ports of the Turkish coast — Istanbul, Cesme, Amasra, Sinop, Trabzon, Ordu, Izmir, Kusadasi, and also stops at the largest port of Egypt - ancient Alexandria, and in the new season also in the beautiful ports of Greece. POSITION SUMMARY: The Galley Utility assists the Sanitation Officer in managing execution and compliance of proper Garbage handling procedures and SHIP-SAN practices onboard to ensure company, divisional and ship performance objectives set forth by the company are met and/or exceeded by performing the following essential duties and responsibilities personally. WHAT COMPANY OFFERS: Opportunity to travel to the ports of Turkey, Egypt and Greece Free meals and accommodation The ticket is at the expense of the employer The contract is 6-7 months The salary is paid in euros. A bonus system for rewarding employees, as well as tips No visa required REQUIREMENTS: Age 18+ Recruitment is conducted from the following countries: Armenia, Azerbaijan, Belarus, Georgia, Moldova, Russia, Uzbekistan, Kazakhstan, Kyrgyzstan. Fluency in Russian is mandatory Knowledge of English - from intermediate depending on the position (knowledge of English is pre-intermediate for basic positions, fluency in both Russian and English is required for higher and administrative positions) A full package of STCW certificates and a seafarer's passport/seafarer's identity card are required. Sound knowledge of SHIP-SAN standards, monitoring, recording, operating procedures and practices. Ability to work well under pressure and in a constantly challenging environment. RESPONSIBILITIES: In accordance with the company’s rules and regulations, he/she conducts in a professional and courteous manner at all times. This consists of physical and verbal interactions with guests or fellow shipboard employees and/or in the presence of guest contact and when in crew areas. Supports the Sanitation Officer in planning, organizing, controlling, and evaluating the Health, Hygiene and Sanitation standards. Accomplishes the targets set forth by the company by following instructions given by the management. Maintains effective internal communications, teamwork and productivity. Continually encourages successful working practices by physically participating to the ship’s operation according to needs and as required by the management. Keep the Sanitation Officer informed of all pending issues that require cooperation or immediate attention. Ensures that the amount of chemicals, consumables and PPE (Personal Protective Equipment) necessary for best sanitation and cleaning practices are available. Enforce best practices for proper equipment handling and maintenance. Responsible to minimize breakages, proper handling of utensils and avoid wastage. Ensures that Chemicals are being handled properly, labeled and stored in the assigned lockers. Ensures that all soap and towel dispensers are filled up and monitors cleanliness and maintenance conditions of the Galley Toilets. etc. The number of spots is limited! Send us your RESUME here via the APPLY TO POSITION button Last update:  14 декабря 2024