Location: Seattle, WA
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $165,000–$380,000 USD
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco; New York City
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Growth team owns the product loops that help them discover, adopt, and build lasting habits around our most important AI experiences.
As a growth engineer at Perplexity, you'll work across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — while also building the applied AI systems that make those experiences smarter. Engineers are responsible for end-to-end projects from training and productionizing classifiers to identify high-intent users, personalizing value discovery, shipping contextual onboarding experiments, or wiring new AI capabilities into measurable adoption and revenue outcomes.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product - we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end.
Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Design, build, and own growth surfaces across the full funnel — activation, onboarding, SEO, lifecycle, conversion, retention, and paid upgrade moments — for Computer and every Perplexity product.
- Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel and learning quickly from each.
- Build applied AI systems that power growth: classifiers for high-intent segments, personalization for value discovery, and AI-driven onboarding and recommendation surfaces.
- Launch vertical-specific experiences (e.g., students, enterprise organizations) that connect new AI capabilities to measurable adoption and revenue outcomes.
- Hill-climb on the metrics that matter: activation rate, paid conversion, retention, and habit formation, instrumented with clean data and trustworthy experiment readouts.
- Partner closely with Product, Design, Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces.
QUALIFICATIONS
- 2+ years of professional software engineering experience (we're open to strong junior and mid-level candidates with a track record of shipping).
- Full-stack engineering skills, with comfort across a modern web stack (we use Next.js, React, TypeScript on the frontend and Python on the backend).
- Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
- Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents).
- Comfort with SQL and data-informed decision-making — you can pull, segment, and interpret your own funnel data.
- Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
- Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
- Genuine interest and adoption of AI products and willingness to learn quickly.
NICE TO HAVE
- Direct experience on a growth, activation, conversion, retention, or lifecycle team at a consumer or PLG/self-serve SaaS company.
- Experience training and productionizing ML models (classifiers, ranking, personalization) and connecting them to product surfaces.
- Experience with SEO, lifecycle marketing tooling, or paid acquisition surfaces.
- Familiarity with subscription and/or usage based billing products, paywalls, or paid upgrade experimentation.
- Experience shipping for both consumer and enterprise audiences.
- Time spent at a fast-growing startup or on a high-ownership engineering team.
- Familiarity with mobile development - Swift/Objective-C/Kotlin/Java, in-app payments, mobile release cycles, Apple App Store and/or Google Play Store guidelines, and rollout monitoring
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp's Strategic Finance team sits at the center of how the company allocates its time and resources. We're hiring across three complementary tracks — and looking for people with sharp financial instincts, a builder's mindset, and the drive to take on a large scope quickly. Whether you lean toward GTM strategy, FP&A infrastructure, or broad strategic partnership, this is a rare opportunity to shape a pre-IPO company at a pivotal moment in its growth.
WHAT YOU'LL DO
- Build and own detailed financial and operational models with the highest quality and accuracy
- Use data to influence key strategic decisions across Product, GTM, and business leadership
- Lead planning analyses for cross-functional teams, evaluating tradeoffs across growth, efficiency, and resourcing
- Identify and develop KPIs; build dashboards to monitor performance and communicate insights to stakeholders
- Partner closely with business leaders to translate strategy into execution and drive accountability
- Help run bi-annual budgeting and headcount planning cycles
- Manage company performance against financial targets — identifying where to course-correct and where to accelerate
- Build and maintain internal tools that reduce manual work and improve data accuracy across the finance org
WHAT YOU NEED
- 4+ years in Investment Banking, Management Consulting, VC/PE, or Corporate Finance at a top-tier technology company
- Excellent financial modeling and quantitative / data analysis skills
- Extreme attention to detail with a high regard for precision
- Exceptional verbal and written communication skills
- Track record of developing and maintaining relationships with internal and external partners
- A "get things done" mentality — you dissect complex problems, find solutions, and drive them to completion with a high degree of autonomy
- Comfort operating in ambiguity and adapting to evolving priorities
NICE TO HAVES
- Expertise with Looker, SQL, and/or Python
- Systems thinking — you design processes to be reliable, scalable, and maintainable
- Curiosity about AI tools — prior experience is a plus, but not required
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: United States, Madison, WI
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Sr. Software Development Engineer In Test, ML/AI
At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences.
We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference!
Overview
We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects.
What you’ll do
Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components.
Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows.
Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios.
Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness.
Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java.
Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation.
Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution.
Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems.
Improve automation reliability, reduce flakiness, and optimize execution efficiency.
Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows.
Collaborate across teams to establish scalable quality standards, tooling, and guidelines.
Required qualifications
Bachelor’s degree in Computer Science or equivalent
5+ years of experience as an SDET or QE engineer focused on backend and distributed systems.
Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences.
Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows.
Strong experience testing RESTful APIs, microservices, and distributed architectures.
Proficiency in Python, Java, JS or similar languages for automation development.
Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium.
Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.).
Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker).
Familiarity with databases, monitoring, and observability tools.
Strong understanding of SDLC, Agile methodologies, and release processes.
Excellent problem-solving, debugging, and communication skills.
Preferred qualifications
Experience validating ML outputs using statistical analysis or scenario-based testing approaches.
Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.).
Prior work in content moderation ML, security, fraud detection, or adversarial ML.
Experience testing high-scale, low-latency online services.
Experience with Databricks or similar ML platform tooling.
Familiarity with Node.js, React, or modern frontend technologies.
Experience testing mobile, console, or other non-PC platforms.
What sets you apart
Strong combination of automation engineering and delivery ownership.
Ability to drive quality across complex cross-functional initiatives.
Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions.
Proven risk management and dependency coordination skills.
Ability to influence engineering teams and promote quality guidelines.
Passion for scalable, reliable, and maintainable automation systems.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$152,500
—
$228,700 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Задачи:
— Ведение полного цикла сбора и анализа требований, включая функциональные, нефункциональные, исключения и крайние случаи.
— Поддержание актуальной документации требований и выступление основным контактным лицом для уточнений.
— Предложение продуктовых решений на основе экспертизы, UX и анализа пользовательского поведения.
— Разрешение конфликтов интересов заинтересованных сторон через структурированный диалог и компромиссы.
— Синтез информации из разных источников для прояснения сложных или неоднозначных ситуаций.
— Самостоятельное управление коммуникацией с заинтересованными сторонами, обеспечение общего понимания объема и целей.
— Ведение полного цикла уточнения историй, обеспечение полноты, согласованности и покрытия тестами требований.
— Совместная с архитекторами разработка архитектурного видения решения, определение ключевых компонентов, интерфейсов и потоков данных.
— Рекомендация технологий для эффективного удовлетворения бизнес-потребностей.
— Активная поддержка разработки и тестирования, устранение неоднозначностей в процессе реализации.
— Координация UAT, обеспечение соответствия тест-кейсов бизнес-целям и требованиям.
— Работа с множеством источников данных (структурированных и неструктурированных) для поддержки ключевых бизнес-решений.
— Руководство доставкой функций и проектов в рамках одной команды, управление объемом, сроками и коммуникацией.
— Тесное взаимодействие с владельцами продуктов для согласования приоритетов и требований.
— Поддержка конечных пользователей через подготовку документации и проведение обучающих сессий.
Требования:
— Высшее образование в области компьютерных наук, программной инженерии или смежных технических областях.
— Опыт работы не менее 5 лет в разработке ПО в роли системного или технического бизнес-аналитика.
— Знание бизнес-домена.
— Глубокие знания SQL и баз данных.
— Знание Python, Java, Golang, JavaScript, C# и C++ для целей анализа.
— Знание современных методов управления требованиями, таких как Use Cases и User Stories.
— Практический опыт проектирования решений с нуля.
— Понимание нефункциональных требований и их роли в процессе разработки.
— Отличное понимание интеграционных процессов и умение проектировать схемы интеграции с использованием Kafka.
— Знание бизнес-процессов и нотаций BPMN и UML.
— Знание веб-сервисов, REST API, HTTP и микросервисной архитектуры.
— Понимание базовых концепций UI/UX.
— Знание теории алгоритмов, теории баз данных, теории систем, системного анализа и информационной безопасности.
— Продвинутый или свободный уровень английского языка.
— Умение работать самостоятельно в быстром темпе, согласовываясь с целями команды.
— Структурированная и четкая коммуникация.
— Внимание к деталям и приверженность качеству.
Условия:
— Конкурентная зарплата и ежегодный бонус по результатам работы.
— Полная поддержка при релокации для кандидата и семьи (перелеты, жилье, визы, юридическая помощь).
— Медицинская страховка высшего уровня с покрытием для всей семьи, включая стоматологию, зрение, психическое здоровье, а также страхование жизни.
— Неограниченные возможности для обучения: внешние курсы, уроки английского, развитие карьеры и лидерских навыков.
— Оплата образования для детей (школа и детский сад).
— 21 рабочий день отпуска в году, плюс официальные праздники, оплачиваемые больничные, декретные и отпуск по уходу за ребенком.
— Программа признания сотрудников: брендированные подарки, выходные на день рождения, бюджеты на празднования свадеб, рождений и важных событий.
— Командные поездки и корпоративные мероприятия.
— Программа акций компании.
— Корпоративный автомобиль MINI Cooper Countryman и личная парковка.
— Бесплатные спортивные клубы, доступ в спортзал Sanctum Club и водные мотоциклы.
— Доступ к корпоративному врачу.
— Эксклюзивные скидки в кафе, спортзалах и местных сервисах.
— Налоговые льготы для экспатов: до 50% освобождения от подоходного налога.
— Поддержка в процессе натурализации для релокированных сотрудников.
Обязанности:
• Проектировать, разрабатывать и сопровождать ETL/ELT-процессы для загрузки, преобразования и контроля качества данных;
• Разрабатывать и оптимизировать сложные DAG в Apache Airflow;
• Проектировать архитектуру пайплайнов данных с учетом надежности, масштабируемости и производительности;
• Интегрировать данные из различных источников: PostgreSQL, внешние API, webhook, S3-совместимые хранилища и другие системы;
• Разрабатывать и сопровождать пайплайны обработки данных на Python и Apache Spark;
• Работать с lakehouse-архитектурой и таблицами Apache Iceberg;
• Оптимизировать SQL-запросы, ETL/ELT-процессы и инфраструктуру обработки данных;
• Писать тесты для пайплайнов данных, обеспечивать качество и стабильность решений;
• Проводить code review и участвовать в развитии инженерных стандартов команды;
• Взаимодействовать с аналитиками, BI-специалистами и разработчиками для реализации бизнес-требований к данным;
• Участвовать в сопровождении инфраструктуры и разборе инцидентов.
Требования:
• Опыт работы дата-инженером / ETL-разработчиком / backend-разработчиком от 1 года;
• Уверенное знание Python;
• Уверенное знание SQL, опыт написания и оптимизации сложных запросов;
• Практический опыт работы с PostgreSQL;
• Опыт работы с Apache Airflow, умение самостоятельно создавать и сопровождать сложные DAG;
• Понимание архитектуры пайплайнов данных и умение проектировать технические решения;
• Опыт разработки ETL/ELT-пайплайнов;
• Опыт оптимизации производительности обработки данных;
• Навыки написания тестов;
• Опыт проведения code review;
• Опыт работы с различными источниками данных и интеграциями;
• Самостоятельность, системное мышление, ответственность.
Условия:
• Зарплата: 250 – 280 тыс на руки (полностью белая);
• Ненормированный график, но без переработок (любые переработки компенсируются дополнительными выходными днями, но нужно быть готовым в случае необходимости поработать и поздно вечером, и в выходной день);
• Офис в центре города (м. Трубная/Цветной бульвар).
Location: Salt Lake City, Utah, United States
About the Role
The ideal candidate for this role is a strong cloud architect who excels at both big-picture thinking as well as hands-on technical work. With very strong AWS, Kubernetes and web infrastructure skillsets, they will be working on projects building or improving our core compute, core network and edge infrastructure.They also play a critical role in helping the iCapital platform scale and doing so with an automation-first mentality. The engineer will work with application and platform teams to onboard services, establish connectivity, troubleshoot traffic flows, and maintain consistent networking patterns across environments.
Responsibilities
Design and continually improve Kubernetes architecture, also helping operationally manage cluster lifecycle.
Work on projects integrating new self-hosted and SaaS services, in some cases understanding and working with developers to help design software architecture
Manage Transit Gateway, Network Firewall and external connectivity. Own architectural guidance for edge and traffic management, including CDN, DNS, and TLS strategies (e.g., Akamai, Cloudflare).
Produce and maintain reference architectures, design documents, and architectural guardrails
Partner with engineering, security, and product teams to ensure platform standards are practical, well understood, and broadly adopted.
Qualifications
8+ years of experience in platform, cloud, or infrastructure engineering roles, with demonstrated architectural responsibility. Must have strong hands-on experience designing and operating Kubernetes platforms in production environments, including a strong understanding of autoscaling strategies, node provisioning, and security on EKS.
Deep understanding of AWS infrastructure, including networking, security primitives, and managed services. This includes expertise in cloud networking architecture patterns, including VPC design, routing, and planning for scale.
Strong understanding of ingress/egress, TGW design and private connectivity.
Comfortable operating as a senior individual contributor with influence across multiple teams as a leader.
Very Strong written and verbal communication skills, with the ability to explain architectural decisions to both technical and nontechnical audiences.
Preferred Qualifications
Expertise in Kong or other API Gateways at a deep level
Experience directly managing Akamai in a production environment
Strong understanding of application design principles
Some experience with EKS standards such as Bottlerocket, Karpenter, Auto-mode
A software engineering background is helpful, and some experience with Python expected.
Certifications (AWS / Kubernetes) are a plus but not required.
Benefits
The base salary range for this role is $130,000 to $160,000 depending on level. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Philippines
As a Security Analyst at Intelice Solutions, you will be a crucial part of our cybersecurity team. This role is designed for individuals who are passionate about cybersecurity and eager to develop their skills in a dynamic and supportive environment.
This resource will assist in monitoring, analyzing, and responding to security incidents, ensuring the protection of our clients' data and systems.
Key Responsibilities:
Security Monitoring and Analysis:
Monitor security alerts and events using various security tools and platforms.
Analyze security incidents to determine their impact and severity.
Assist in the investigation and resolution of security incidents.
Assist with checking and resolving security agent related issues.
Incident Response:
Participate in the incident response process, including identification, containment, eradication, and recovery.
Document and report security incidents and actions taken.
Vulnerability Management:
Assist in the identification and assessment of vulnerabilities in client systems.
Support the implementation of remediation measures to address identified vulnerabilities.
Threat Intelligence:
Stay updated on the latest cybersecurity threats and trends.
Assist in the collection and analysis of threat intelligence to enhance security posture.
Security Awareness and Training:
Support the development and delivery of security awareness training for clients.
Promote best practices for cybersecurity within the organization and to clients.
Participate in group tabletop exercises
Compliance and Reporting:
Assist in ensuring compliance with relevant security standards and regulations.
Prepare and maintain security documentation and reports.
Collaboration and Support:
Work closely with senior security analysts and other IT teams to enhance overall security.
Provide support for security-related projects and initiatives.
Direct Manager: Security Operations Manager
Qualifications:
Bachelor's degree in Cybersecurity, Information Technology, or a related field.
Basic understanding of cybersecurity principles and practices.
Familiarity with security tools and technologies (e.g., SIEM, firewalls, antivirus software).
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Eagerness to learn and adapt in a fast-paced environment.
Preferred Skills:
Relevant certifications (e.g., CompTIA Cybersecurity Analyst / CySA+).
Experience with scripting or programming languages (e.g., Python, PowerShell).
Knowledge of network protocols and operating systems.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution.
About the Impact
The data operations you build will directly determine how well our models perform on critical capabilities—tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts.
We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas—someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you.
Responsibilities:
Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows
Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale
Design and implement operational systems that translate research requirements into high-quality data pipelines
Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems
Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards
Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations
Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities
You may be a good fit if you:
Have 3+ years in operations, consulting, product management, or program management roles
Have exceptional project management skills with ability to handle multiple complex projects simultaneously
Have strong communication skills and can engage effectively with technical and non-technical stakeholders
Are familiar with how LLMs work or have strong interest in understanding AI training methodologies
Are highly organized and can navigate ambiguity effectively
Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)
Thrive in fast-paced research environments with shifting priorities
Are passionate about AI safety and understand the critical importance of high-quality data
Strong candidates may also have:
Experience with data collection, labeling, or annotation operations for AI/ML systems
Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows
Background working with research teams at AI companies or research-oriented organizations
Experience managing vendor relationships or external contractors
Consulting background with experience translating complex requirements into deliverables
Track record of implementing process improvements or quality control systems at scale
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:
$270,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; Palo Alto; New York City
ABOUT THE ROLE
The Backend Platform team is the backbone of Perplexity’s product reliability, scalability, and performance, enabling every product and AI team to build with confidence.
This high‑impact group builds and maintains critical infrastructure, including backend systems for authentication, authorization, real-time data flows, service orchestration, and sandboxing, to ensure fast, reliable, and secure user experiences. By setting rigorous standards for code quality, uptime and performance, the Platform team ensures everyone at Perplexity can innovate at speed on top of a robust, well-architected foundation.
KEY RESPONSIBILITIES
- Lead the design and implementation of our sandboxing platform to safely execute untrusted and user‑generated code while meeting strict performance and reliability requirements.
- Define and extend our RBAC and authorization primitives, ensuring they scale with new product capabilities and enterprise controls.
- Own key backend services involved in authentication and encryption flows (including BYOK‑related pieces), partnering with Security and Infra on defense‑in‑depth.
- Set the technical bar for backend platform design and operations, driving best practices in reliability, observability, and incident response for always‑on systems.
- Partner with product and AI teams to define clear platform interfaces, SLAs, and integration patterns so new features can reliably build on shared backend capabilities.
- Provide technical leadership across the backend platform area, mentoring other engineers and making long‑term architectural decisions that keep the foundation simple, secure, and evolvable.
QUALIFICATIONS
- Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
- Strong system design skills, with a track record of creating efficient, reliable, and scalable architectures.
- Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
- Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
- Collaborative mindset and eagerness to solve challenging technical problems with other experienced engineers.
- Comfort working in security‑sensitive areas (auth, authorization, encryption) and making pragmatic trade-offs between safety, simplicity, and velocity.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco; Palo Alto; New York City
ABOUT THE ROLE
The Data Platform team owns the end-to-end data lifecycle at Perplexity, from ingestion through processing, storage, and serving, powering product features, analytics, experimentation, AI workloads, and the company’s data lake.
The team defines the architecture for batch and streaming systems, the orchestration and observability stack, and a self-serve data platform, while thoughtfully combining platforms such as Databricks and Snowflake with open-source technologies including Spark, Kafka, Flink, Airflow, Dagster, dbt, Iceberg, Delta Lake, and ClickHouse.
In this senior/staff role, you will shape architecture, set standards, and drive the long-term technical direction of Perplexity’s data ecosystem.
KEY RESPONSIBILITIES
- Design and operate large-scale batch and streaming data pipelines that directly power Perplexity product features, AI training and evaluation workflows, analytics, and experimentation.
- Build event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time ingestion, transformation, and delivery, alongside batch frameworks for backfills, aggregations, and offline computation.
- Lead the architecture of data orchestration using tools like Airflow or Dagster, owning scheduling, dependency management, retries, SLAs, and end-to-end observability for critical data flows.
- Set and enforce guarantees for data correctness, freshness, lineage, and recoverability, designing systems that handle rapid scale growth, partial failures, and evolving schemas without disrupting AI workloads or product experiences.
- Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate their own pipelines with minimal friction.
- Improve developer experience through better abstractions, opinionated paved paths, and standards for data modeling, testing, validation, and deployment, treating the data platform as a product used by many teams.
- Drive architectural decisions across storage, compute, orchestration, and data APIs, partnering closely with product engineering and data science to align the data ecosystem with Perplexity’s roadmap.
- Mentor engineers, review designs, and raise the technical bar for data infrastructure through thoughtful feedback, documentation, and hands-on collaboration.
QUALIFICATIONS
- 5+ years (Senior) or 8+ years (Staff) of software engineering experience.
- Strong experience building production data infrastructure systems.
- Hands-on experience with batch and/or streaming data processing at scale.
- Deep familiarity with data orchestration systems (Airflow, Dagster, or similar).
- Proficiency in Python and at least one additional backend language (Go, TypeScript, etc.).
- Strong systems thinking around reliability, latency, cost, and complexity tradeoffs.
- Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
- Familiarity with data quality, lineage, observability, and governance tooling.
- Prior ownership of internal platforms used by many teams.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Location: San Francisco; Palo Alto; London; Berlin; Belgrade; New York City
ABOUT THE ROLE
The Cloud Infrastructure team owns the foundational cloud primitives and deployment models that power Perplexity's products, from multi-tenant public cloud to single-tenant and on-premises solutions for enterprise customers.
As Perplexity grows its Computer and Enterprise products, this team builds and operates the security, isolation, and compliance layers that customers depend on. We provide the deployment topologies, multi‑region infrastructure, and core services that enable Perplexity to run reliably and efficiently for both consumer traffic and large enterprises.
KEY RESPONSIBILITIES
- Own the roadmap and technical strategy for agent-driven cloud infrastructure management.
- Design and operate Perplexity’s cloud networking fabric, including VPC architectures, private connectivity, and peering with hyperscalers and neocloud providers to support low-latency, high-throughput AI workloads.
- Architect and scale compute platforms (Kubernetes/EKS, autoscaling groups, and mixed CPU/GPU fleets) to efficiently serve online request traffic and background workloads across regions.
- Build and maintain secure, isolated deployment topologies for multi-tenant, single-tenant, and customer‑owned cloud (BYOC) environments, including cross-account networking, identity, and policy guardrails.
- Implement and evolve multi-region strategies for availability, failover, and data locality, including traffic routing, regional capacity planning, and disaster recovery playbooks.
- Partner with security to deliver enterprise controls such as BYOK/KMS integrations, network isolation, and auditability required for regulated customers.
- Develop automation, tooling, and runbooks that make day‑2 operations (provisioning, upgrades, incident response) predictable and repeatable for Perplexity products across all environments.
QUALIFICATIONS
- Deep experience designing and operating cloud infrastructure on AWS (VPC design, routing, security groups, load balancing, private connectivity).
- Strong background with Kubernetes/EKS and container orchestration, including multi‑cluster, multi‑region, or multi‑account setups.
- Hands-on experience with cloud networking and peering (VPC peering, Transit Gateway, private link/service endpoints, or similar constructs in neoclouds).
- Experience building or operating secure, isolated environments for enterprise customers (single‑tenant, BYOC, or on‑prem), ideally including BYOK/KMS integrations and compliance constraints.
- Proficiency with infrastructure as code (Terraform) and strong software engineering skills in at least one of Python, Go, or Rust for automation and tooling.
- Strong debugging and incident management skills across distributed systems (networking, compute, and platform layers), with a track record of driving root‑cause analysis and long‑term fixes.
- 7+ years of industry experience building and operating production cloud infrastructure, including leading the design of complex systems or migrations.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
Задачи:
- Поддержка текущего функционала продукта.
- Расширение и развитие функционала действующего продукта.
- Анализ логов, данных, выстраивание логических цепочек, построение и проверка гипотез.
- Создание и поддержка новых дата-пайплайнов.
- Работа с Clickhouse. Написание и оптимизация средних/сложных SQL запросов.
- Анализ, подготовка и обработка данных.
- Обеспечение качества данных.
Предстоит поддерживать и развивать:
- Десктопное кроссплатформенное ПО (Java 17+, Swing).
- Монолитное ПО, включает в себя клиентскую и серверную части (взаимодействие посредством gRPC).
- Отсутствие фрэймворка, используются собственные наработки.
- Организация взаимодействия с БД (PostgreSQL, ClickHouse) посредством jdbc, без подключения дополнительных библиотек.
- Организация работ механизмов в многопоточном режиме с помощью ExecutorService, CompletableFuture.
- Покрытие кода тестами (Mockito, JUnit).
- Аналитические запросы и большие объёмы данных (~60 TB).
Требования:
- Опыт работы в аналогичной роли от 3 лет.
- Знание теории реляционных БД, понимание логической, физической моделей БД.
- Опыт оптимизации сложных запросов.
- Опыт поиска проблем в работающих под высокой нагрузкой системах.
- Опыт создания и поддержки ETL-процессов.
- Глубокий практический опыт разработки на Python (pandas, numpy).
- Опыт работы с Apache Airflow, самостоятельное создание DAG.
- Опыт работы с СУБД Clickhouse, написание средних/сложных и нетривиальных SQL-запросов.
- Умение самостоятельно брать задачи, по необходимости уточнять требования и доводить до финального результата.
- Навык поиска оптимальных решений: умение работать в условиях неопределенности, формулировать вопросы и предлагать решения.
Location: United States; United Kingdom; Romania; Poland; Georgia; Spain
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are looking for a versatile GTM Engineer to bridge the gap between our technical product capabilities and our ambitious revenue goals. In this role, you will be the architectural backbone of the sales process, ensuring that our technology solves real-world business problems for our customers. You will sit at the intersection of Engineering, Product, and Sales, acting as a technical advisor who can both high-level strategize and deep-dive into code to close complex deals and accelerate market adoption.
Key Responsibilities
Partner with the Sales team to lead technical discovery, product demonstrations, and proof-of-concept (POC) engagements.
Build custom integrations, scripts, and demos that showcase the unique value proposition of the product to prospective clients.
Act as the "voice of the customer" for the product team, translating field feedback into actionable product requirements and roadmap items.
Develop technical sales collateral, including documentation, best practices guides, and modular code snippets.
Troubleshoot and resolve technical hurdles during the pre-sales and onboarding phases to ensure a seamless customer transition.
Stay ahead of industry trends and competitor landscapes to position our technology effectively against market alternatives.
Requirements
Proven experience in a technical, customer-facing role (e.g., Solutions Engineer, Forward Deployed Engineer, or Sales Engineer).
Strong proficiency in at least one major programming language (Python, JavaScript, Go, etc.) and comfort working with APIs and databases.
Exceptional communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
A "builder" mindset with the ability to work independently in a fast-paced, sometimes ambiguous environment.
Strong problem-solving skills and the ability to diagnose technical issues on the fly.
Track record of supporting high-growth GTM motions and hitting revenue-linked milestones.
Experience working in early-stage or venture-backed startups.
Deep understanding of cloud infrastructure (AWS, Azure, or GCP).
Familiarity with modern GTM tech stacks (Salesforce, HubSpot, or specialized data tools).
Contributions to open-source projects or a strong portfolio of technical content creation.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
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.
We're seeking an exceptional Research Scientist to join our Life Sciences team at Anthropic. Our team is building a world-class research group focused on making Claude a superhuman life sciences research assistant. This role sits at the intersection of machine learning, software engineering, and biology — you'll directly improve model capabilities on scientific tasks through post-training, evaluation design, and RL environment development.
As a core member of our Life Sciences team, you'll work in a high-impact team that translates deep biological domain knowledge into model training objectives, benchmarks, and agentic workflows. You'll help establish Anthropic as a leader in AI-accelerated biology while shaping how frontier models reason about and execute computational biology tasks.
This role offers a unique opportunity to shape how frontier AI models learn to do biology. You'll work alongside some of the world's best AI researchers while tackling problems that matter for human health and scientific understanding. If you're excited about turning your computational biology expertise into model capabilities, we want to hear from you.
Key Responsibilities
Build and ship agentic tools and integrations that let Claude execute real life science workflows — bioinformatics pipelines, database queries, analysis notebooks, literature review
Design and build evaluation benchmarks that measure model capabilities on biology tasks — figure interpretation, bioinformatics, protocol reasoning, literature synthesis
Work closely with product and design teams to scope, prototype, and ship features for life sciences users
Partner with external biotech, pharma, and academic users to understand their workflows and turn feedback into product improvements
Build and maintain the engineering infrastructure behind our biology product surface — tool scaffolding, data pipelines, eval harnesses
Translate biological domain knowledge into product requirements and evaluation criteria that guide model improvement
Minimum Qualifications
Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down
Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end
Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures)
A track record of shipping computational tools or pipelines that biologists actually use
Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment
Able to work independently while collaborating tightly with research, product, and domain-expert teams
Results-oriented with a bias toward rapid iteration and measurable impact
Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards
Preferred Qualifications
5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar
Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience
Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development
Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis
Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.)
Experience building agentic systems or tool-use environments
Published research in ML for biology, or open-source contributions to computational biology tools
Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes
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
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA; 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
As an early member of our Safeguards Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by building and scaling a data driven culture from the ground up. In this unique company, technology, and moment in history, your work will be critical to informing our product and commercial strategy as we deploy safe, frontier AI at scale to the world.
You will work closely with product, engineering, policy & enforcement to define and measure key company success metrics, analyze user behavior to identify new enforcement opportunities and build a culture of developing and testing hypotheses through experimentation. You’ve worked in cultures of excellence in the past, and are eager to apply that experience to building robust and scalable systems and processes as our company goes through a phase of rapid growth.
Key responsibilities
Deep dive into user behavior data to provide insights on safety concerns
Define core metrics that measure the team's success. Set goals, build forecasts, monitor performance, and develop actionable reporting
Identify and size opportunities to improve the product, influencing product roadmap through your insights and recommendations
Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics
Build a data driven culture from the ground up by establishing foundational data best practices and making data more accessible across the company
Minimum qualifications
Expertise in Python, SQL, and data visualization tools.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
A deep curiosity and energy for pulling the thread on hard questions.
Experience in turning open questions and data into concise and insightful analysis.
Highly effective written communication and presentation skills.
A passion for the company's mission of building helpful, honest, and harmless AI.
Preferred qualifications
8+ years of experience in data science or analytics roles, preferably in an infrastructure or operations context.
3+ years of experience deeply embedding in Product teams.
Experience working on safety, anti-abuse, integrity shaped problems.
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:
$285,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Обязанности:
• Выполнять работы по разработке, внедрению, сопровождению и совершенствованию программного обеспечения АСУТП, систем сбора и мониторинга данных
• Участвовать в проектах АСУТП, MES в качестве эксперта
• Вести подготовку необходимых данных для разработки программного обеспечения АСУТП, MES
• Участвовать в разработке средств интеграции систем управления с целью повышения достоверности учетных данных
• Отвечать за проектирование и внедрение автоматизированных систем управления технологическими процессами (АСУТП) и автоматизированных систем управления производством (MES)
• Управлять проектами в области АСУТП на производствах с целью реализации задач предприятия, направленных на оптимизацию существующих и внедрение новых АСУТП производств
• Подготавливать необходимые данные для разработки технических заданий и рабочих проектов АСУТП и MES
• Отвечать за разработку средств интеграции систем управления с целью повышения достоверности учетных данных
Требования:
• Знание языков программирования
• Навыки работы с программируемыми логическими контроллерами (ПЛК)
• Опыт работы со SCADA системами. Умение разрабатывать, внедрять и сопровождать SCADA-приложения
• Знание сред разработки CoDeSyS, ISAGraf, Step 7, PCS 7, TIA Portal, MS Visual Studio, NetBeans, Siemens
• Знание языков объектно-ориентированного программирования (C++, C#, Java, Python)
Условия:
• Официальное трудоустройство в соответствии с ТК РФ
• Стабильный доход с первого месяца, полностью «белая» зарплата: оклад плюс премирование
• График 2/2 (с 09:00 до 21:00)
• Все социальные гарантии согласно ТК РФ
• Широкий пакет ДМС с ведущими клиниками города
• Работу в команде профессионалов с возможностью роста
• На входе в компанию присутствует система обучения и наставничество
• Компания осуществляет бронирование сотрудников в рамках норм действующего законодательства
География найма не уточнена
Seattle, WA
San Francisco; New York City
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
