Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots.
You will design and train reinforcement learning policies that enable dynamic locomotion and loco-manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim-to-real transfer for reliable deployment on hardware.
You will work closely with controls and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real-world conditions.
Development will involve continuous iteration between large-scale simulation and hardware experiments.
The problems you will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning.
WHAT YOU’LL DO
- Design and train reinforcement learning policies for humanoid robot control.
- Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo).
- Design reward functions, observation spaces, and curricula for complex behaviors.
- Improve robustness and sim-to-real transfer of learned policies.
- Deploy and evaluate policies on real robotic systems.
- Integrate policies into the control stack.
WHAT WE'RE LOOKING FOR
- MS or PhD in Robotics, Machine Learning, Computer Science, or related field.
- Strong experience with reinforcement learning (e.g., PPO, SAC, offline RL).
- Experience applying RL to robotics or physical systems.
- Experience deploying learned policies on real robotic systems.
- Experience with physics-based simulation environments (e.g., Isaac Lab, MuJoCo).
- Strong programming skills in Python and/or C++.
NICE TO HAVE:
- Experience with RL for locomotion or legged robots.
- Experience with sim-to-real transfer.
- Familiarity with robot dynamics, control, or whole-body control.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Задачи:
— Разрабатывать, поддерживать и расширять автоматизированные тестовые сценарии для различных платформ и окружений (Linux, Windows, MacOS, Docker, WSL).
— Расширять покрытие тестами новых и существующих функций.
— Отлаживать и устранять сбои тестов.
— Улучшать существующую автоматизацию, снижать нестабильность тестов.
— Отслеживать метрики качества, включая покрытие тестами, частоту сбоев и нестабильность.
— Вносить вклад в разработку фреймворков и инструментов с продукт-специфическими расширениями.
— Помогать команде в мониторинге результатов тестирования и расследовании сбоев.
— Участвовать в оценке качества релизов.
— Сотрудничать с QA и разработчиками для определения тестовых стратегий.
— Выполнять ручное тестирование при необходимости.
— Участвовать в создании тестовой документации.
— Улучшать инфраструктуру тестирования и CI/CD пайплайны в рамках команды.
— Делится лучшими практиками автоматизации с командой.
— Работать с командой инструментов для внедрения новых фреймворков и практик.
Требования:
— Опыт в автоматизации тестирования.
— Уверенные навыки программирования на Kotlin/Java.
— Опыт работы с тестовыми фреймворками JUnit или TestNG.
— Знание инструментов сборки Maven и Gradle.
— Понимание принципов и методологий тестирования ПО.
— Опыт работы с CI/CD инструментами (TeamCity или аналогичные).
— Опыт с инструментами отчетности (Allure или другие).
— Опыт работы с системами контроля версий (Git).
— Владение английским языком на уровне устного и письменного общения.
— Ответственность, самоорганизация и способность к самостоятельному обучению.
— Навыки командной работы.
— Способность работать самостоятельно, творчески и проявлять инициативу.
Желательно:
— Опыт тестирования инструментов для разработчиков, IDE и настольных приложений.
— Знакомство с JVM фреймворками (Spring или Jakarta) и базами данных.
Условия:
— Конкурентная заработная плата, соответствующая навыкам и опыту.
— Гибкое место работы: возможность работать из дома или офиса.
— Возможность удаленной работы до 30 дней в году из-за рубежа.
— Дополнительные дни отпуска.
— Оплата медицинской страховки.
— Возможности для обучения и развития: конференции, курсы, языковые занятия.
— Поддержка при релокации.
— Языковые курсы.
— Обеды или компенсация питания в рабочие дни.
— Поддержка психического здоровья.
— Спортивные льготы: спортзал на территории или компенсация спортивного клуба.
— Внутренние мероприятия и корпоративные праздники.
Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits.
Simple is looking for a Senior Data Engineer to join our Tech team. Push the pace of innovation and build a future of a healthier world with us!
Задачи:
— Design, build, and maintain streaming pipelines.
— Develop custom ingestion pipelines from third-party APIs, webhooks, and SDKs.
— Migrate existing data ingestion pipelines from SaaS tools to our own infrastructure.
— Deliver data to the raw layer of our Snowflake warehouse with schema consistency, idempotency, and resilience to malformed or late data.
— Evolve the existing AWS streaming stack (Kinesis, SQS, Lambda, API Gateway), improving cost efficiency, observability, and resilience.
— Maintain infrastructure as code (Terraform) for ingestion and processing resources.
— Monitor pipelines, troubleshoot, and resolve incidents.
— Contribute to our ongoing work on safe data access for AI agents and tooling.
— Continuously improve ingestion architecture, tooling, and engineering practices.
Требования:
— 5+ years of commercial Python experience in a backend or data engineering role.
— Solid understanding of distributed systems architecture, including load balancing, sharding, and trade-offs between synchronous and asynchronous processing.
— Hands-on experience with cloud services, preferably AWS (Lambda, API Gateway, containers in ECS/EKS).
— Experience building streaming pipelines (Kinesis, SQS, or equivalents).
— Experience with infrastructure as code (Terraform or equivalents).
— Working knowledge of SQL: ability to read and write queries, including joins and window functions.
— Commercial experience with real-world production data: ability to design systems that gracefully handle messy, duplicated, delayed, or malformed input.
— Solid understanding of how data flows through production systems, including the ability to anticipate and prevent downstream issues.
— Operational mindset: comfortable owning production systems and monitoring them.
— Ability to make architectural decisions independently and review the work of teammates.
Желательно:
— Strong SQL and data modeling skills.
— Experience with Snowflake and dbt.
— Experience with workflow orchestrators (Airflow, Dagster, Prefect, or equivalents).
— Experience working with analytics and product teams as a data provider.
— Experience working with sensitive or regulated data.
Условия:
— Open-minded teams, a welcoming and inclusive company culture.
— Competitive salary package based on expertise, skillset, and impact plus stock options.
— In-office, remote and hybrid work opportunities.
— Equipment needed for productivity.
— Premium SIMPLE subscription.
— 21 days annual leave plus bank holidays.
— Flexible hours focusing on results, not desk time.
О компании и ценностях:
— Data-driven decision making.
— Focus on impact and speed.
— Ownership and responsibility.
— Encouragement to push limits and innovate.
— Team accountability and collaboration.
Location: Nicosia
Job Overview
We are looking for a
Senior Performance QA Engineer
with experience in GameDev
to join our World of Warships PC team.
This position is open in our Belgrade or Nicosia office
.
In this role, you’ll focus on performance testing and automation, helping us identify performance bottlenecks and ensure a smooth and stable experience for our players. You’ll work closely with QA and development teams to investigate, analyze, and improve game performance.
If you’re enjoy sharing your expertise and learning from others, and want to contribute to the quality of a large-scale PC game, we’d love to hear from you.
Reports to
Lead Automation QA Engineer
What will you do?
Develop and maintain automated tests for functional, performance, and stability testing on Python
Develop and maintain core functionality of the automation framework
Analyze automated test results and investigate failures
Performance testing and profiling of game client and backend services
Maintain documentation for existing automated tests, frameworks, and tools
Collaborate with other teams and provide support based on automated test results
Participate in the development and maintenance of CI/CD pipelines and related tools
Work with different teams as internal customers, understand their needs, and provide automation solutions
Participate in code reviews and contribute to improving automation code quality
What are we looking for?
3+ years of experience in Performance Testing or Performance QA
3+ years of experience in Automation QA or a similar position
1+ year of commercial experience in Python-based automated testing, including writing performance test suites using pytest
Experience in Performance testing tools and frameworks (k6, load testing, profiling tools)
Experience in analyzing and optimizing game performance (PC games)
Experience with Elasticsearch for log collection and analysis
Experience with CI/CD systems (Jenkins, TeamCity)
Knowledge of PC architecture basics and component interaction (CPU, GPU, memory, disk I/O)
Understanding of performance metrics: FPS, frame time, CPU/GPU utilization, memory consumption
Knowledge of the theory and methods of software testing and performance testing methodologies
Upper-Intermediate (B2) or higher English knowledge
What additional skills will help you stand out?
Experience in game development or game engines (Unreal, Unity)
Experience in log parsing and data analysis with pandas and NumPy
Experience in Python profiling and optimization (cProfile, line_profiler)
Experience with PostgreSQL performance analysis and query optimization
Experience in Docker, docker-compose
Experience in monitoring tools (Grafana, Prometheus)
Experience with Python async/await and multiprocessing
Experience in designing and maintaining performance test infrastructure
Experience in Linux-based systems
Mentoring experience in QA team
Work mode
This position is open in our Belgrade or Nicosia office
During the probation period: onsite work
After the probation period: onsite or hybrid (3 days per week in the office)
This role is eligible for relocation & immigration support
Benefits
Benefits and perks are tailored to the local market and culture. Our benefits in Nicosia include:
21 days annual leave (additional days based on years of service: up to 25 days)
Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave)
Sick Leave (10 days top-up to statutory allowance per year)
Maternity Leave (18 weeks top-up to statutory allowance per case)
Career development and education opportunities within the company
English Language courses fully covered by the company upon Manager’s approval
Private Health Care
Mental well-being program (iFeel)
Onsite gym and spa
Free parking close to the Nicosia offices, based on availability
Free drinks-equipped kitchen in every floor building
Eurobank benefits (if applicable)
Employee discounts (e.g. restaurants, bars, etc.)
Personal Gaming Account
Onsite canteen with subsidized prices for food and drinks
Company events, Social Clubs
Seniority Awards
Referral program - You can recommend the best talents to the company and receive a reward
Please submit your CV in English to ensure smooth processing and review.
About Wargaming
Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz.
Please see
Wargaming Candidate Privacy Policy
for details on how Wargaming uses your personal data.
Location: Remote (US)
About Ondo
Capital markets are moving onchain. Ondo Finance is building the products and infrastructure that will bring them there.
We create institutional-grade, blockchain-enabled investment products and services, including tokenized treasuries, tokenized stocks and ETFs, and new trading experiences built for global, always-on markets. We are the category leader by AUM, well-capitalized, and backed by investors including Founders Fund, Coinbase Ventures, Pantera Capital, and Tiger Global.
The underlying financial infrastructure is complex. We believe the product experience should not be.
About the Web team
The Web team builds the product layer that makes Ondo's financial infrastructure accessible. We own the experiences through which users onboard, establish eligibility, move money, mint and redeem Ondo Stocks, manage portfolios, and use products across multiple blockchains.
We are a small team of exceptional engineers with broad ownership and a high bar for craft, judgment, and execution. We turn complexity across compliance systems, backend services, smart contracts, and external partners into products that feel clear and dependable.
Engineering on this team is distinguished by:
Product taste.
We simplify complex financial workflows without hiding the details that matter.
End-to-end ownership.
Engineers shape, build, launch, and improve the product.
Speed with confidence.
We scope sharply, move quickly, and hold a high quality bar.
Security and correctness.
Access control, auditability, privacy, and failure behavior are design constraints from the start.
High agency and low ego.
We act without waiting, invite direct critique, and make the team better.
About the role
As a Full-Stack Engineer focused on Growth, you will design the foundations of how users discover, understand, adopt, and return to Ondo's products. You will own the systems and product experiences that turn user insight into measurable growth across acquisition, activation, engagement, and retention.
Your scope spans the full growth loop—from public websites and user-facing product journeys to experimentation, analytics, content systems, backend workflows, and third-party platforms. You will set technical direction, define the measurement foundations, and evolve these systems as our products, markets, and scale change.
This is a foundational ownership role for a senior engineer. You will turn ambiguous growth opportunities into clear hypotheses, durable architecture, and polished product experiences. You will partner closely with Product, Design, Marketing, Data, and Engineering while owning the judgment: where friction matters, what to build, how to measure it, and when the evidence calls for a different direction.
The goal is not experiment volume. It is to understand users better than anyone else and turn that understanding into durable product improvements and measurable business impact.
What you'll do
Own the growth engineering strategy across discovery, acquisition, activation, engagement, and retention—from identifying the highest-leverage opportunities through technical design, launch, measurement, and iteration.
Design and evolve the foundations for experimentation, event instrumentation, attribution, funnel analysis, content, and lifecycle experiences so the team can move quickly and trust what it learns.
Build polished user-facing experiences and the backend systems, data models, APIs, webhooks, and third-party integrations behind them.
Work directly with users and product data to identify friction, form clear hypotheses, and make disciplined product and technical bets.
Turn validated learning into durable product capabilities and measurable business impact—not one-off experiments.
Partner with Product, Design, Marketing, and Data to lead launches, localization, and new ways to grow adoption across Ondo's products.
Improve organic discovery and conversion through technical SEO and AEO, performance, structured content, and clear user journeys.
Raise the level of the team through clear writing, thoughtful code review, strong operational ownership, and effective use of modern AI engineering tools.
What you bring
4+ years of experience building and operating production full-stack applications with React, Next.js, and TypeScript.
Experience driving measurable acquisition, activation, engagement, or retention outcomes through growth engineering, product-led growth, consumer product, ecommerce, or similarly data-informed product work.
Experience building and operating serverless systems on AWS, including Lambda and adjacent services such as API Gateway, EventBridge, or SQS.
Strong experience using BigQuery and product analytics data to model funnels, investigate user behavior, and measure product and business impact.
Strong fundamentals in API and data-model design, relational databases, event-driven systems, event instrumentation, experimentation, testing, and observability.
A record of owning product work end to end—not only implementing experiments or specifications handed to you.
Product taste: you can find the simplest experience that solves the user's problem without ignoring the complexity or edge cases underneath it.
Data fluency and intellectual honesty. You can define useful metrics, distinguish signal from noise, and change direction when the evidence challenges your hypothesis.
The ability to communicate clearly, learn unfamiliar domains quickly, and create alignment across engineering, product, design, marketing, and data partners.
High agency and low ego. You move important work forward, invite strong critique, and care more about the outcome than whose idea wins.
Preferred qualifications
Experience building fintech, trading, crypto-native, or other high-consideration products where earning user trust is essential.
Experience with lifecycle marketing, CRM, CMS, experimentation, localization, or analytics platforms.
Familiarity with AEO, structured content, international SEO, and growth across multiple regions or languages.
Experience applying AI to prototyping, personalization, analytics, content operations, or other growth workflows.
We do not expect every strong candidate to arrive with deep crypto or every growth specialty listed above. We do expect curiosity, strong product and engineering fundamentals, and the ability to turn learning into shipped improvements quickly.
What we offer
Challenging, high-impact work helping define how a global audience discovers and adopts a new category of financial products.
Competitive compensation including salary, future token rights, and/or equity, according to your preferences.
Full medical, vision, and dental benefits, plus a flexible vacation policy.
A remote-first environment with meaningful autonomy and influence over product and technical direction.
Exceptional colleagues from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap.
Backing from leading crypto experts and investors, including Pantera Capital, Founders Fund, and Coinbase Ventures.
Location: Remote - European Region
Workplace: hybrid
Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.
Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.
Responsibilities:
Manage and troubleshoot complex distributed large-scale software systems
Build scalable, secure and reliable container-based infrastructure
Automate software delivery processes with CI/CD pipelines
Collaborate within DevOps, development, security, compliance teams
Ensure the security and stability of the infrastructure
Improvement and strengthening DRP
On-going DevOps activities in support of development/deployment/testing processes
Requirements:
3+ years of experience in DevOps, SRE, or data platform/infrastructure related field
Experience of operating stateful/distributed systems in production, good understanding of systems fundamentals (networking, storage, scaling)
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and Kubernetes
Experience with Infrastructure as Code (e.g., Terraform)
Familiarity with modern deployment practices (e.g., GitOps with ArgoCD/Flux)
Development and scripting skills (Python, Bash)
Expertise in any observability solutions (Prometheus stack, etc)
Linux system administration expertise
Understanding of DevOps security principles
Troubleshooting skills
Good communication skills
Proficiency in English and Russian, written and verbal
Nice to have:
Terragrunt
Azure, and/or GCP
Why join CryptoProcessing by Coinspaid
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
dbt Fusion is building the next generation of data execution and connectivity infrastructure, enabling dbt workloads to run efficiently across diverse compute engines and data platforms. As a Senior Engineer on the Fusion Adapters and Connectivity team, you’ll design and ship core abstractions powering how dbt communicates with execution systems — leveraging Rust, Go, Arrow, and emerging open standards. This is a rare opportunity to work at the intersection of systems programming, database internals, and high-visibility open-source development. Your work will shape a foundational platform leveraged across the dbt ecosystem and the broader data community.
What You’ll Do
Design, build, and maintain Rust-first connectivity layers, execution APIs, and adapter scaffolding.
Partner with teams building the dbt compiler, semantic layer, and runtime to evolve adapter interfaces and system boundaries.
Contribute to Arrow/ADBC and other open-source specifications or implementations, strengthening the data ecosystem.
Own CI, testing frameworks, profiling, error reporting surfaces, and release readiness for Fusion adapters.
Debug complex interoperability and performance issues across drivers, engines, and compute domains.
Collaborate with internal and community maintainers to review PRs, write RFCs, and evolve public code architectures.
Mentor engineers on systems best practices and contribute to shared patterns around resilience, debuggability, and API clarity.
Skills We’re Looking For
Strong programming background in Rust, Go, C++ or similar performance-oriented languages.
Experience designing or maintaining SDKs, libraries, connectors, or compute/data integration codebases.
Exposure to data warehouses, query engines, Arrow/columnar ecosystems, or execution runtimes.
A desire to build foundational platform components that other teams and community members rely on.
Comfort working in public code review loops, async-first communication, and collaborative RFC processes.
A mindset grounded in debuggability, reliability, and ownership in ambiguous problem spaces.
You’ll have an edge if you have:
Contributed to or interacted with Arrow, ADBC, DuckDB, Presto, DataFusion, Spark, ClickHouse, or similar engines.
Experience shaping adapter/plugin standards, driver contracts, or architectural interfaces used by others.
Familiarity with Rust async ecosystems (tokio, tower, tracing) or Go concurrency practices.
Prior OSS governance experience — triaging issues, reviewing PRs, or working with community maintainers.
An interest in building developer-experience layers or scaffolding frameworks for adapter authors.
Qualifications:
6+ years experience in software engineering, with strong systems-level skills.
2+ years working in open-source, SDK, runtime, or low-level integration environments.
Bachelor’s degree in Computer Science / related field or equivalent experience through industry OSS contributions.
#LI-REMOTE
#LI-SA1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
JOB DESCRIPTION
Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences.
We're looking for Senior Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy.
As a Senior Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
What are we looking for:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment.
- Great communication skills and ability to interact effectively with a wide range of stakeholders
- Experience working in agile environments and delivering high-quality code within tight deadlines
- Excellent problem-solving skills and the ability to work independently as well as part of a team
- Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity
- Payments or financial knowledge is a plus, but not a necessity
How you’ll make an impact:
- Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community.
- Define and design loosely coupled, scalable systems in a wider microservices using industry best practices.
- Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout.
- Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems.
- Build, own and operate your systems to the highest levels of resilience and service.
- Mentor junior team members and assist in their technical development
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform.
The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria.
This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role.
WHAT YOU'LL DO
- Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements.
- Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives.
- Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services.
- Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack.
- Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams.
- Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation.
- Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution.
- Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems.
- Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues.
- Define integration stages, entry and exit criteria, required test environments, and readiness expectations.
- Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware.
- Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions.
- Develop system-level verification and validation strategies for autonomous robotic capabilities.
- Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours.
- Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing.
- Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence.
- Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations.
- Facilitate requirement, architecture, interface, integration, and system-readiness reviews.
- Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership.
- Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field.
- Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical domain.
- Experience working with complex software-intensive or cyber-physical systems composed of multiple interacting subsystems.
- Strong knowledge of requirements engineering, architecture definition, interface management, integration, verification, validation, and traceability.
- Technical experience in several of the following areas:
- ROS or ROS 2
- Robotics software
- Perception and sensor fusion
- Localization, mapping, and navigation
- Motion or behaviour planning
- Manipulation, locomotion, or whole-body controls
- Artificial intelligence or machine learning
- Simulation and virtual testing
- Distributed or real-time software systems
- Ability to understand and evaluate software behaviour without being the primary implementation owner for every component.
- Experience defining measurable acceptance criteria for complex system behaviours.
- Ability to investigate issues spanning algorithms, software, computing, networking, firmware, sensors, actuators, and physical robot behaviour.
- Strong analytical, problem-solving, leadership, and technical communication skills.
Experience with humanoid robots, mobile robots, autonomous vehicles, industrial robotics, or similar systems.
- Familiarity with ROS 2 topics, services, actions, quality-of-service policies, lifecycle management, TF, rosbag, and distributed execution.
- Familiarity with C++, Python, Linux, Git, CI/CD, containers, and modern software development workflows.
- Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, MATLAB/Simulink, or equivalent platforms.
- Experience with SysML, model-based systems engineering, or software architecture modelling.
- Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems.
- Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: NAMER and LatAm
Workplace: Remote
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Execute high-impact infrastructure optimization initiatives across compute, storage, and networking.
- Collaborate with the ClickHouse engineering teams to develop high-performance, reliable, and cost-effective solutions for our SaaS platform.
- Optimize cost efficiency systematically through the implementation of distributed systems and industry best practices.
- Partner with business stakeholders to design and construct tooling for cost efficiency insights.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: NAMER and LatAm
About the Team
The Cloud Infrastructure Engineering team builds and manages the foundational blocks of ClickHouse Cloud data plane end-to-end. This includes compute, networking, security, and a multi-cloud, multi-region architecture that provides a reliable and scalable managed ClickHouse experience for ClickHouse Cloud customers. Our team is looking for highly skilled and experienced cloud infrastructure software engineers to join our team, who will be responsible for designing, deploying, and maintaining our infrastructure.
What will you do?
- Architect and build a robust, scalable, and highly available distributed infrastructure.
- Build a cutting-edge cloud-native platform on top of the public cloud, and automate our cloud resource management.
- Execute high-impact infrastructure optimization initiatives across compute, storage, and networking.
- Collaborate with the ClickHouse engineering teams to develop high-performance, reliable, and cost-effective solutions for our SaaS platform.
- Optimize cost efficiency systematically through the implementation of distributed systems and industry best practices.
- Partner with business stakeholders to design and construct tooling for cost efficiency insights.
About you:
- 5+ years of relevant software development industry experience building and operating scalable, fault-tolerant, distributed systems.
- Software development experience in Go, C/C++, Java, or another OOP language.
- Experience with cloud technologies such as AWS, Azure, or GCP, including infrastructure-as-code (IaC) tools such as Terraform or CloudFormation.
- Experience developing cloud infrastructure services, preferably with Kubernetes.
- Experience developing cloud native edge or service mesh services, preferably with envoy and Istio.
- Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
- Understanding of network topologies, protocols, and security principles, such as VPNs, firewalls, and load balancers.
- Knowledge of cloud security best practices, including encryption, access controls, and compliance standards like SOC2 and GDPR.
- You have excellent communication skills and the ability to work well within a global team.
- You are a strong problem-solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability and data governance.
- You thrive in a fast-paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Remote or Mississauga
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.
Key Responsibilities
Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform.
Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components.
Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams.
Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale.
Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
Qualifications & Skills
Expert level in Python and Java with strong software engineering fundamentals.
Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.
Preferred
Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
Demonstrable history of leading and sustaining build out of critical cross-team systems
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
Experience optimizing large model training and inference (including LLM serving) for performance and cost.
#LI-AJ1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $179,000-$224 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Remote, USA
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Team Summary
This team will serve as the product owner for the machine learning platform capabilities within PointClickCare, working closely with other engineering teams across the organization to identify, build and support traditional machine learning (ML) and hybrid ML/LLMsolutions. This centralized team with deep specialization will closely integrate with key horizontal partners to ensure delivery of safe, scalable, and high-impact AI products.
Job Summary
The Principal AI Machine Learning Platform Engineer will set the technical vision and strategy for the machine learning platform that powers ML and generative AI development across PointClickCare, partnering with Product and Engineering leadership to align that direction with product and business goals. As the technical authority for the ML platform, the Principal Engineer will define the reference architectures, standards, and roadmap for the pipelines, tooling, and infrastructure used for model training, deployment, serving, and monitoring, and will provide technical leadership and mentorship to raise the engineering bar for ML systems company-wide.
Key Responsibilities
Partner with product and engineering leadership to translate business and product objectives into a multi-quarter technical strategy and roadmap for the ML platform.
Define the reference architectures and standards for scalable data and ML pipelines spanning model training, evaluation, deployment, and serving that engineering teams across the organization build upon.
Set the direction and best practices for MLOps across the company — including CI/CD for models, model registry, feature stores, and experiment tracking — and drive build-vs-buy decisions for core platform components.
Establish the practices and architecture for reliability, observability, and performance of ML systems in production, including monitoring, alerting, and automated remediation.
Establish the security architecture for the ML platform, including authentication, role-based access control, audit logging, and compliance monitoring, and ensure adoption across teams.
Define secure, cost-efficient integration and infrastructure patterns for connecting the platform with existing systems, APIs, and data sources at scale.
Provide technical leadership and mentorship across engineering teams, guiding senior engineers and influencing the org-wide technical roadmap for ML infrastructure.
Qualifications & Skills
Expert level in Python and Java with strong software engineering fundamentals.
Deep experience designing and building ML platforms and ML Ops workflows at scale, familiarity with tools such as MLFlow, Kubeflow, Ray, and model-serving frameworks or equivalents.
Extensive experience with cloud platforms (AWS, Azure, and/or GCP), containerization, and orchestration (Docker, Kubernetes).
Demonstrated track record of setting technical direction and driving org-wide technical initiatives across multiple teams.
Preferred
Bachelor’s degree or higher in Computer Science, Machine Learning, or a related field.
Sufficient familiarity with Azure Machine Learning components, Databricks processing and serverless environments, and ML Frameworks to support strategic decision making
Demonstrable history of leading and sustaining build out of critical cross-team systems
Experience implementing security at scale including role-based access control, multi-factor authentication, network security best practices, and compliance monitoring.
Experience optimizing large model training and inference (including LLM serving) for performance and cost.
#LI-AJ1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $158,000-$198, 000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
Location: Cape Town, South Africa
We are looking for a Finance Database Engineer to join our growing team. This role sits at the intersection of finance, technology, and engineering, and will be responsible for building and maintaining scalable data solutions that support financial reporting and operational decision-making.
This is a hands-on role with significant ownership, where you will work closely with finance and operations teams to improve data visibility, accuracy, and efficiency across the organization.
Primary Responsibilities:
Design, build, and maintain data pipelines and applications using Microsoft Azure and Microsoft Fabric
Develop and optimize SQL data models to support financial reporting and analysis
Build and maintain Power BI dashboards and reporting solutions for business stakeholders
Ensure data accuracy and integrity through validation, reconciliation, and issue investigation
Own end-to-end data workflows, from ingestion through transformation and reporting
Collaborate with finance and operations teams to translate business needs into scalable data solutions
Identify opportunities to improve data processes, automation, and system performance
Work closely with IT teams to ensure security, governance, and compliance of financial data.
Optimize SQL queries and improve report performance.
Focuses on transforming raw data into reliable reporting models.
Requirements
Bachelor’s degree in computer science, Computer Engineering, Information Systems, or a related field.
3+ years of experience in data engineering, analytics engineering, or software engineering with financial order Information
DP-700 Certification (Preferred)
Technical Requirements
Experience with Microsoft Azure.
Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory).
Experience with Power Query, DAX, and SQL with large, complex datasets.
Familiarity with Git and/or Azure DevOps for version control.
Knowledge of Python for data processing and automation (preferred).
Experience integrating data through APIs or external data sources.
Understanding of data warehousing concepts and dimensional modeling.
Ability to work in mixed time zones with various teams including Pacific Standard (USA)
Experience building reports and data models in Power BI
Strong understanding of ETL/ELT pipelines and data validation processes
Experience working with financial or operational data is a strong plus
Soft skills requirements:
Strong analytical and problem-solving skills.
Ability to communicate technical concepts to non-technical stakeholders.
Excellent stakeholder management and collaboration skills.
Strong organizational and time management skills.
Continuous improvement mindset with a proactive approach to automation and process optimization.
Location: Dammam, Saudi Arabia
We are looking for a motivated
Cloud Engineer
to support the design, implementation, management, and operation of secure public cloud environments. The ideal candidate will have foundational knowledge of cloud networking, cloud security, identity management, and cybersecurity, with a strong interest in developing expertise in cloud architecture and infrastructure.
Key Responsibilities
Assist in designing, implementing, and managing
public cloud environments and landing zones
.
Support cloud network architecture, including
VPC/VNet, subnets, routing, firewalls, VPNs, and network connectivity
.
Assist with secure connectivity between cloud platforms and on-premises environments.
Support the implementation and management of
cloud security controls
and best practices.
Assist with
Identity and Access Management (IAM)
, user roles, permissions, and access policies.
Monitor cloud infrastructure, network performance, security, and availability.
Troubleshoot basic cloud networking, connectivity, and security issues.
Support cloud governance, security standards, and compliance requirements.
Work closely with infrastructure, cybersecurity, DevOps, and application teams.
equirements
Bachelor’s degree in
Computer Science or Computer Engineering.
0–2 years of experience
in cloud computing, networking, infrastructure, or a related field.
Basic understanding of at least one major public cloud platform:
Microsoft Azure
Amazon Web Services (AWS)
Google Cloud Platform (GCP)
Basic knowledge of:
Cloud networking and architecture
VPC/VNet and subnet design
Routing and network security
Firewalls and VPNs
IAM and access management
DNS and load balancing
Cloud security and cybersecurity fundamentals
Hybrid cloud connectivity
Good analytical and troubleshooting skills.
Strong communication and teamwork abilities.
Eagerness to learn and build a career in cloud engineering and architecture.
Location: New York City, NY; San Francisco, CA; 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
The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.
Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.
Responsibilities
End-User Support
Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
Handle escalations requiring cross-team coordination
Participate in an on-call rotation for urgent issues outside business hours
Provide hands-on support for user technology, AV systems, conference rooms, and printers
Communication & Documentation
Communicate clearly with users of all technical levels
Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves
Operational Improvement
Help streamline onboarding and other high-volume operations as the company scales
Contribute to automation efforts
Maintain and improve device management, identity, and access systems
Assist with scripting (Bash, Python) to automate repetitive tasks
You may be a good fit if you
Have 7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
Are an excellent communicator who genuinely enjoys helping people solve problems
Have strong troubleshooting skills and are methodical, curious, and persistent
Demonstrated experience supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
Have significant experience with Google Workspace administration
Have experience with Slack administration — workspace management, permissions, and troubleshooting
Have substantial experience supporting and administering additional SaaS tools
Understand identity and access fundamentals — SSO, MFA, directory services
Are familiar with MDM fundamentals and endpoint management concepts
Have experience with basic scripting (Bash or Python) for automation
Take ownership of problems and follow through until they're resolved
Think beyond the immediate fix — you ask "why did this happen?" and "how do we prevent it?"
Are organized enough to manage competing priorities without things falling through the cracks
Propose solutions when you see a process that doesn't scale
Are looking to develop deeper technical skills and take on more complex systems administration challenges over time
Strong candidates may also
Be familiar with zero-trust security concepts and endpoint security tooling
Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
Have experience using AI tools to improve personal or team productivity
Location
This role is based in our San Francisco, Seattle, New York or Washington DC office and there is a 4 day/week in office expectation.
What Makes This Role Unique
You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.
Deadline to apply: None. Applications will be received 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:
$180,000
—
$230,000 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: London, UK
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 AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years.
You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology.
This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.
Responsibilities
Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio
Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans
Program and commission AV systems to meet specific use cases and user requirements
Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy
Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration
Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces
Develop automated solutions to improve system reliability and reduce operational overhead
Partner with Security and IT teams to ensure AV systems meet enterprise security requirements
Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures
Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met
Manage relationships with AV integrators and vendors to ensure project success
Assist with AV operations support including event production and system maintenance as needed
You may be a good fit if you
Have 8+ years of experience designing and implementing AV systems in an enterprise environment
Are proficient in control system programming utilizing the Q-Sys ecosystem or similar
Have hands-on experience with video conferencing platforms, particularly Google Meet
Can read and create AV technical drawings including schematics, line diagrams, and rack elevations
Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing
Are familiar with enterprise video distribution, streaming technologies, and broadcast standards
Can manage multiple projects simultaneously while meeting aggressive timelines
Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions
Have excellent troubleshooting skills and are comfortable diving into complex integrated systems
Care about creating exceptional user experiences through technology
Are excited about the opportunity to build scalable AV infrastructure from the ground up
Strong candidates may also have
Experience with Logitech video conferencing ecosystem and management platforms
Certifications such as Q-Sys Level 2, CTS, or CTS-D
Familiarity with control scripts using Lua within Q-Sys
Background in broadcast production or live event engineering
Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110)
Familiarity with digital signage platforms (Appspace or similar)
Understanding of acoustical design principles for conference spaces
Track record of successful large-scale office technology deployments
Previous experience performing AV installations
Background working in high-growth technology companies
Experience with Google Workspace administration
Role Specific Location Policy:
This role will be based in our London office
This role is expected to be in office 75% of the time
This position will require up to 8 weeks of domestic and international travel to help with new office build outs
Deadline to apply: None. Applications will be received 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:
£210,000
—
£250,000 GBP
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, 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
As an AV Engineer focused on builds and design, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years.
You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology.
This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.
Responsibilities
Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio
Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans
Program and commission AV systems to meet specific use cases and user requirements
Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy
Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration
Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces
Develop automated solutions to improve system reliability and reduce operational overhead
Partner with Security and IT teams to ensure AV systems meet enterprise security requirements
Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures
Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met
Manage relationships with AV integrators and vendors to ensure project success
Assist with AV operations support including event production and system maintenance as needed
You may be a good fit if you
Have 8+ years of experience designing and implementing AV systems in an enterprise environment
Are proficient in control system programming utilizing the Q-Sys ecosystem or similar
Have hands-on experience with video conferencing platforms, particularly Google Meet
Can read and create AV technical drawings including schematics, line diagrams, and rack elevations
Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing
Are familiar with enterprise video distribution, streaming technologies, and broadcast standards
Can manage multiple projects simultaneously while meeting aggressive timelines
Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions
Have excellent troubleshooting skills and are comfortable diving into complex integrated systems
Care about creating exceptional user experiences through technology
Are excited about the opportunity to build scalable AV infrastructure from the ground up
Strong candidates may also have
Experience with Logitech video conferencing ecosystem and management platforms
Certifications such as Q-Sys Level 2, CTS, or CTS-D
Familiarity with control scripts using Lua within Q-Sys
Background in broadcast production or live event engineering
Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110)
Familiarity with digital signage platforms (Appspace or similar)
Understanding of acoustical design principles for conference spaces
Track record of successful large-scale office technology deployments
Previous experience performing AV installations
Background working in high-growth technology companies
Experience with Google Workspace administration
Role Specific Location Policy:
This role will be based in our San Francisco office
This role is expected to be in office 75% of the time
This position will require up to 8 weeks of domestic and international travel to help with new office build outs
Deadline to apply: None. Applications will be received 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
—
$325,000 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.
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