Location: Munich, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Rust Software Developer. In this role, y
ou will also be responsible to:
Building new products inside the company.
Develop new code with Rust, and deal with existing Go/Ruby code
Create PoC in the new areas and drive them to production or drop them away.
Requirements
Qualifications / Experience / Technical Skills
Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
Knowledge of basic data structures and algorithms, multiprocessing, memory management.
Experience developing high-performance asynchronous applications with Rust (preferably tokio).
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Basic knowledge of DevOps practices and tools
Understanding of Linux environment
Golang/Ruby knowledge is a plus
Experience working with WASM is a plus
Open Source contributions is a plus
Soft Skills / Personal Characteristics
Readiness to work remotely with teams distributed across the world and timezones
Spoken English (at the level enough to pass the technical interview and later work with colleagues)
Being a result-oriented problem solver.
Prefers coming up with proposals in problematic areas, rather than being passive.
Being open to new technologies and switching between projects.
Readiness to travel for business
(REQ ID: 2682)
seniorMunich, Germany; Readiness to work remotely with teams distributed across the world and timezones
Location: Frankfurt, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Rust Software Developer. In this role, y
ou will also be responsible to:
Building new products inside the company.
Develop new code with Rust, and deal with existing Go/Ruby code
Create PoC in the new areas and drive them to production or drop them away.
Requirements
Qualifications / Experience / Technical Skills
Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
Knowledge of basic data structures and algorithms, multiprocessing, memory management.
Experience developing high-performance asynchronous applications with Rust (preferably tokio).
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Basic knowledge of DevOps practices and tools
Understanding of Linux environment
Golang/Ruby knowledge is a plus
Experience working with WASM is a plus
Open Source contributions is a plus
Soft Skills / Personal Characteristics
Readiness to work remotely with teams distributed across the world and timezones
Spoken English (at the level enough to pass the technical interview and later work with colleagues)
Being a result-oriented problem solver.
Prefers coming up with proposals in problematic areas, rather than being passive.
Being open to new technologies and switching between projects.
Readiness to travel for business
(REQ ID: 2682)
Location: Berlin, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Rust Software Developer. In this role, y
ou will also be responsible to:
Building new products inside the company.
Develop new code with Rust, and deal with existing Go/Ruby code
Create PoC in the new areas and drive them to production or drop them away.
Requirements
Qualifications / Experience / Technical Skills
Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
Knowledge of basic data structures and algorithms, multiprocessing, memory management.
Experience developing high-performance asynchronous applications with Rust (preferably tokio).
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Basic knowledge of DevOps practices and tools
Understanding of Linux environment
Golang/Ruby knowledge is a plus
Experience working with WASM is a plus
Open Source contributions is a plus
Soft Skills / Personal Characteristics
Readiness to work remotely with teams distributed across the world and timezones
Spoken English (at the level enough to pass the technical interview and later work with colleagues)
Being a result-oriented problem solver.
Prefers coming up with proposals in problematic areas, rather than being passive.
Being open to new technologies and switching between projects.
Readiness to travel for business
(REQ ID: 2682)
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
- United States (all figures cited below in USD and pertain to workers in the United States)
- Zone A: 232,000 - 290,000
- Zone B: 217,600 - 272,000
- Zone C: 204,800 - 256,000
- Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
- 253,000 - 316,000
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Director, Engineering
As a Senior Staff Machine Learning Scientist, you’ll:
- Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.
- Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.
- Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.
- Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks.
- Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems.
- Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI.
- Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team.
- Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems.
ABOUT YOU:
Requirements:
- BA/BS degree or equivalent experience
You’ll thrive as a Senior Staff Machine Learning Scientist if you:
- Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred.
- 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning.
- Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models.
- Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances.
- Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.
- Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.
- Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.
- Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Barcelona, Spain
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a Senior Rust Software Developer. In this role, y
ou will also be responsible to:
Building new products inside the company.
Develop new code with Rust, and deal with existing Go/Ruby code
Create PoC in the new areas and drive them to production or drop them away.
Requirements
Qualifications / Experience / Technical Skills
Strong experience writing, shipping, and maintaining Rust code (2+ years), and experience with other languages (Ruby, Python, Go, JS, Java, etc.)
Knowledge of basic data structures and algorithms, multiprocessing, memory management.
Experience developing high-performance asynchronous applications with Rust (preferably tokio).
Good understanding of network protocols and stacks.
Good understanding of DB technologies: classic databases and modern no-SQL.
Basic knowledge of DevOps practices and tools
Understanding of Linux environment
Golang/Ruby knowledge is a plus
Experience working with WASM is a plus
Open Source contributions is a plus
Soft Skills / Personal Characteristics
Readiness to work remotely with teams distributed across the world and timezones
Spoken English (at the level enough to pass the technical interview and later work with colleagues)
Being a result-oriented problem solver.
Prefers coming up with proposals in problematic areas, rather than being passive.
Being open to new technologies and switching between projects.
Readiness to travel for business
(REQ ID: 2682)
Location: Warsaw
Workplace: Hybrid
Role highlights:
• Senior C++ Engineer – Satellite Real-Time Control Systems
• Location: Warsaw, Poland
• Department: Engineering
• Reports to: Engineering Lead, AOCS Software
• Employment type: Permanent
• Workplace model: Hybrid
• Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior C++ Engineer – Satellite Real-Time Control Systems, you’ll develop and operate real-time embedded software that powers ICEYE’s growing SAR satellite constellation. Every radar image, collision-avoidance manoeuvre, and customer mission relies on deterministic, high-performance software deployed continuously to satellites operating in unforgiving orbital dynamics.
Your work will directly enable first responders to map floods, insurers to assess damage, and scientists to measure a changing planet. In this role, microseconds matter and every line of code has a direct, global impact from space.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
• Write and optimize modern C++ code that meets strict determinism and latency budgets for safe and precise on-orbit execution
• Build and own the software layer that bridges sensors, actuators, and control algorithms including deterministic loops, telemetry pipelines, and on-orbit autonomy
• Drive quality across the full development lifecycle from requirements and design to HIL and MIL testing, launch, and on-orbit support
• Collaborate with GNC, electronics, ground segment, and mission operations engineers to debug, iterate, and improve system performance
• Lead architecture evolution as the fleet and use cases grow by refactoring, optimizing, and introducing new technologies where they add value
• Investigate anomalies by deep-diving into flight telemetry, reproducing issues on the ground, and rolling out fixes that keep the constellation healthy
What we’re looking for
Must haves:
• Strong experience writing modern C++ with a clear understanding of production-quality code
• Proven track record of delivering real-time control software for autonomous or safety-critical systems such as satellites, drones, robotics, or automotive systems
• Solid understanding of hard real-time constraints, latency budgeting, and deterministic behaviour
• Experience interfacing with sensors and actuators in embedded Linux environments
• Strong engineering practices including rigorous testing, CI/CD, and clear documentation
• Ownership mindset across the full software lifecycle from concept to on-orbit maintenance
• Clear communicator who collaborates effectively across multidisciplinary teams
Nice to haves:
• Experience with hardware-in-the-loop and model-in-the-loop testing
• Experience supporting software in operational or mission-critical environments
• Familiarity with satellite GNC or space systems
Application Process
• Talent Attraction screening
• Hiring Manager interview
• Task and Technical interview
• On-site technical workshop
• On-site behavioural interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Tbilisi, Georgia; Limassol, Cyprus
Workplace: hybrid
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
Hi there! As we are growing, we need an experienced backend developer with a strong knowledge of Python to join our team. We have high traffic, and we value performance. We love clean code that works correctly and efficiently.
Your task will be to work with Django, design, and implement mechanisms for client-backend interaction, as well as monitor the performance of your code. You will work within the product team but with support from the company's leading Python developers.
If you love learning new things and have a broad technical outlook, we’d love to meet you!
Responsibilities
Breaking up the monolith & designing scalable microservices:
You won’t just be cutting chunks out of our Django monolith—you’ll be creating independent services for a distributed architecture that runs across multiple data centers worldwide. It’s a great chance to get into refactoring complex systems and learning best practices for building resilient services.
Developing & integrating new features in a high-load environment:
We’re talking about handling millions of simultaneous users—which means you’ll need to dive deep into backend performance, load balancing, API gateways, and monitoring tools. You’ll learn how to make services interact efficiently and ensure top-notch performance under real-world loads.
Building services that scale & stay secure:
You’ll design service architectures from scratch, pick the right data processing, messaging, and streaming solutions, and implement them. Working in a distributed environment, you’ll gain hands-on experience with Docker, Kubernetes, and other cool tech while learning how to build fault-tolerant systems.
Exploring different tech areas:
You won’t just be coding—you’ll also collaborate with infrastructure experts and dive into network protocols, traffic routing, load balancing techniques, and more. This is a great way to expand your skillset and understand not just backend development, but the bigger picture.
What makes you the perfect fit
5+ years of software development experience
Strong Python skills (2+ years of hands-on work)
Experience building high-load, fault-tolerant services
Good grasp of algorithms & data structures
Experience with Django & DRF
Ability to design solutions & choose the right tools
Broad knowledge of modern backend web technologies
Basic understanding of databases, messaging systems & data streaming
Experience with containerized infrastructure (Docker, Kubernetes)
Will be a plus
Experience in monitoring high-load production systems using monitoring tools such as Zabbix, Grafana.
Some experience with Go
Knowledge of Unix systems, OS internals & networking
Familiarity with frontend tech (JS, TS, React)
Experience in finance or trading domain
Familiarity with TradingView as a product
What we offer you
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.
Location: USA (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Mexico (Remote); Israel (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Finland (Remote); UK (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Poland (Remote); Uruguay (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Backend Functional Team, you'll lead complex projects across key company-wide objectives. Using Perl (Version 5), Go, and Node.js, you’ll write pragmatic, performant, testable code that works consistently, and work on related projects. Recent projects include:
- Implementing AI-assisted answers and integrating them into our Search product while maintaining our privacy-first approach
- Delivering improvements to Duck.ai to help us make it a competitive AI chat alternative for both free and paying users
- Implementing sophisticated data processing pipelines that maintain search relevancy
As a Senior Backend Engineer, you'll collaborate remotely with your peers and take responsibility for solving product issues impacting our all-in-one privacy solution, whether large or small. In time, you'll formally mentor other engineers, supporting their career growth and the growth of the Backend Team at DuckDuckGo.
ABOUT YOU
- 7+ years of professional experience, primarily focused on backend systems that power consumer-facing products
- Product acumen to reason about technical tradeoffs in terms of user impact
- Familiarity with AI agent tooling: evaluation frameworks, RAG pipelines and prompt engineering
- A fundamental understanding of complex data structures and algorithms — you can develop and apply new solutions and confidently navigate and improve existing code.
- Data-driven analytical skills for decision-making, stakeholder alignment, and experiment-oriented delivery
- Solid project management abilities
- Excellent written and verbal communication to validate and articulate decisions
- Previous experience leading and mentoring experienced engineers, supporting their career goals, and unlocking their potential.
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
Location: Warsaw, Poland; Łódź, Poland; Wrocław, Poland; Bydgoszcz, Poland; Lublin, Poland; Szczecin, Poland; Poznań, Poland; Gdańsk, Poland; Katowice, Poland; Białystok, Poland
Workplace: remote
Join Kodland – a global educational platform that is preparing the next generation of innovators! Kodland operates in 40 countries, creating a community of over 30,000 students, and we are looking for passionate tutors like you to guide them on this exciting journey.
Your mission:
You are not just a teacher – you are a guide who opens up the world of logic, algorithms, and engineering thinking to children through the Minecraft universe. You will transform a passion for the game into conscious creativity and a first real programming experience.
What you will do:
Explain fundamental programming concepts (algorithms, loops, conditional statements, variables, coordinates) through hands-on in-game activities – from building automatic doors to programming mini-games and "smart farms".
Lead group projects, developing children's soft skills: teamwork, planning, presenting ideas, and collaborative problem-solving.
Oversee students' final projects – from idea to presentation – helping them consolidate all the knowledge they have gained.
What we are looking for in a candidate (ideal profile):
Basic requirements:
Experience teaching young children (aged 8–12) in educational institutions or extracurricular settings.
Solid knowledge of Minecraft mechanics (redstone, automation, building). Experience with Minecraft Education is a big plus.
Understanding of basic programming principles (loops, conditional statements, variables). Knowledge of any language (visual or text-based) is welcome.
Willingness to undergo training and deepen knowledge of our course methodology.
Ability to explain complex concepts in a simple and engaging way.
Will be an advantage:
Experience teaching programming, robotics, or technology creativity to children.
Familiarity with environments such as MakeCode, Scratch, or similar visual programming languages.
Organisational skills and experience managing project-based activities.
What we offer:
A role in a project where education does not mean boring textbooks, but creating fascinating worlds and mechanisms.
A ready-made, clear, and structured curriculum (5 modules, 40 lessons) with detailed teaching materials.
The opportunity to be a point of reference for children in the world of technology and to witness the tangible results of their work – from the first automated farm to a game programmed from scratch.
Remote work with flexible hours (lessons focused mainly in the evenings and at weekends).
Stable remuneration and continuous support from the methodological team.
You are the right person if (our wish list):
You are passionate. You believe that a game can be a powerful educational tool.
You are a guide. For you, what matters is not only passing on information, but "igniting" curiosity, offering support, and helping students overcome difficulties.
You think logically. You enjoy discovering cause-and-effect relationships and can explain them clearly.
You are creative. You enjoy the process of creating something new and complex together with your students.
Ready to inspire the next generation?
Apply now! If your profile matches our expectations, we will contact you by email to arrange an interview. We recommend checking your inbox regularly, including your spam folder.
Important:
This is a remote position, so you will need your own laptop with a camera and microphone, a stable internet connection, and a quiet place to work. Candidates have the opportunity to learn Scratch and Roblox with us. We offer a B2B contract with the possibility of working as an unregistered sole trader; other available options also include cooperation with the TwójStartup incubator. We invite you to discuss the details during a conversation with our recruiter.
To learn more about us and the position, click here:
https://www.kodland.org/pl/tutors26
Location: London, UK; Ontario, CAN; Remote-Friendly, United States; 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.
Anthropic Fellows Program overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a
public output
(e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.
Apply at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.
What to expect
4 months of full-time research
Direct mentorship from Anthropic researchers
Access to a shared workspace
Connection to the broader AI safety and security research community
Weekly stipend of 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR + benefits (these vary by country)
Funding for compute (~$15k/month) and other research expenses
Interview process
The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well.
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.
Compensation
The expected base stipend for this role is 4,615 USD / 3,440 GBP / 6,470 CAD / 4,110 EUR per week, with an expectation of 40 hours per week for 4 months (with possible extension).
ML Systems & Performance Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Alwin Peng
Zygi Straznickas
Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.
For a past example of an engineering-heavy project, see:
AI agents find $4.6M in blockchain smart contract exploits
Projects in this workstream may include:
Building a CPU simulator for accelerator workloads
Adding backends for different accelerators on an open source project
Building on demand infrastructure for other infrastructure heavy fellows projects
Building complex synthetic data or environment pipelines
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have strong software engineering skills with experience building complex ML systems
Can balance research exploration with engineering rigor and operational reliability
Enjoy collaborating across research and engineering disciplines
Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
Have experience with training, fine-tuning, or evaluating large language models
Are adept at analyzing and debugging model training processes
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
Have a strong technical background in computer science, mathematics, or physics
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Candidates must be
Fluent in Python programming
Available to work full-time on the Fellows program
Reinforcement Learning Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:
Ruhua Jiang
Kaidi Cao
Sunny Duan
David Brandfonbrener
Colt Steele
Dino Distefano
Will Williams
Projects in this workstream may include:
Building model-based tools to better understand AI training data and improve training data quality
A research project to better understand generalization
Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
Building RL environments for safety-related tasks
Conducting research and implementing solutions in areas such as RL algorithms
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have strong software engineering skills with experience building complex ML systems
Can balance research exploration with engineering rigor and operational reliability
Enjoy collaborating across research and engineering disciplines
Are comfortable working with large-scale distributed systems and high-performance computing
Have experience with training, fine-tuning, or evaluating large language models
Are adept at analyzing and debugging model training processes
Logistics
Logistics Requirements:
To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations:
We have designated shared workspaces in SF.
We are also open to remote fellows in the UK, US, or Canada
.
Visa Sponsorship:
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration:
The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
Please note:
We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.
The below are Anthropic's policies for full time roles. These do
NOT
apply to the Fellows Program.
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Romania; Georgia; Albania; North Macedonia; Serbia; Bulgaria
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We’re hiring a
Technical SEO Specialist with a strong growth marketing mindset and UX awareness
to optimize website performance, improve organic visibility, and enhance user journeys. This role goes beyond traditional SEO—you’ll be responsible for analyzing technical SEO metrics, identifying conversion bottlenecks, and improving on-site experiences.
The ideal candidate has hands-on experience with
Webflow
, understands how websites are structured, and can collaborate effectively with developers—even if they are not actively coding.
Key Responsibilities
Conduct comprehensive technical SEO audits (site structure, crawlability, indexing, Core Web Vitals)
Analyse and optimise user journeys and conversion funnels to improve engagement and lead generation
Monitor and report on key SEO performance metrics (traffic, rankings, bounce rate, conversions)
Identify and fix technical issues affecting SEO performance (redirects, broken links, site speed, metadata)
Work within Webflow to implement on-page SEO improvements and optimise page structure
Collaborate with developers and designers to enhance UX and site performance
Execute growth marketing experiments (A/B testing, landing page optimisation, content improvements)
Implement and optimise internal linking strategies and site architecture
Stay updated with SEO trends, algorithm changes, and best practices
Requirements
2–5+ years experience in Technical SEO or similar role
Strong understanding of SEO tools (e.g., Ahrefs, SEMrush, Google Search Console, GA4)
Experience working with Webflow CMS (highly preferred)
Solid knowledge of website structure, HTML/CSS fundamentals, and on-page SEO principles
Experience analysing user behaviour, funnels, and conversion data
Familiarity with UX/UI best practices and CRO (Conversion Rate Optimisation)
Strong analytical mindset with the ability to turn data into actionable insights
Ability to collaborate with developers and communicate technical recommendations clearly
Experience in growth marketing or performance-driven environments is a strong plus
Benefits
💻 Fully Remote: Work from anywhere with international teams
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Tbilisi, Georgia
Workplace: remote
NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries. As the Product Manager for Engagement & AI Game-Based Learning, you will own the "non-live" student experience.
Your goal is to transform the Novakid Kid’s Area from a supplementary area into a significant driver of engagement for young kids. You will lead the development of self-guided English learning games and integrate cutting-edge AI-based self-practice tools that encourage children to speak more, practice safely, and stay motivated between their 1:1 teacher sessions.
Focus: Kid’s Area, Self-Learning Games, AI Features, Learning Engine
What you’ll do
Lead a small team of designers and developers (with access to analytical and research resources).
Design and scale features like Pandy AI Tutor to provide 24/7, judgment-free speaking practice for students across various proficiencies.
Own the roadmap for current and future gamified worlds, focusing on LLM based learning mini-games that reinforce curriculum-aligned vocabulary and grammar.
Use AI to create adaptive learning paths that adjust game difficulty and content in real-time based on a child’s performance in both live classes and self-study (Learning Engine).
Work with engineering to refine Speech-to-Text and AI prompting logic to maximize student speaking time—aiming for the high-engagement levels seen in AI-only learning models.
Design and manage the "Economy of Fun," including avatars, star rewards, and other gamification features that compete for a child's attention against mainstream apps.
Work closely with designers, engineers, curriculum developers, and teacher operations to turn user insights into high-quality educational content and engaging UX.
What you’ll have
4+ years’ experience in a PM role.
Hands-on experience in AI-powered features (prompt engineering, conversational AI, or adaptive algorithms).
Strong background in mobile gaming or highly gamified EdTech, with a deep understanding of reward systems, level progression, and retention hooks for kids.
Proven ability to build interfaces for 4–12-year-olds that are intuitive, safe, and require zero parental intervention.
Proficiency in analytical tools to analyze engagement metrics and game-completion rates.
Manage the Agile process with our engineering team, ensuring that prototypes are delivered and scaled with technical excellence.
You thrive in a 100% remote, distributed team environment and are a master of tools like JIRA and Slack.
Excellent spoken and written English.
What we offer
Fully remote work
A chance to shape the future of AI-driven education
A fun, dynamic team that loves building innovative products
Unlimited holidays, because we trust you to deliver
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
We are looking for a Machine Learning Engineer to join the growing AI and Machine Learning team at Strava. This team is responsible for sophisticated machine learning models and systems which provide value to Strava athletes including personalization, recommendations, search, and trust and safety. The team also maintains the ML platform and infrastructure that enables our team to iterate on models quickly and deploy them reliably at scale.
This is an important role in the ML team and across Product teams designing, roadmapping, and implementing innovative machine learning algorithms. We value full stack ML engineers who are able to work on all parts of an ML pipeline from model building, evaluation, optimizing performance, and ensuring the scalability and reliability of these production models. We also seek those who can improve the systems and tools behind the ML pipeline to further empower the team.
We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco Office — three days per week.
WHAT YOU’LL DO:
- Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
- Own End to End AI Systems: Drive key projects powered by ML on the Strava platform end-to-end, from initial model prototyping to shipping production code to scaling and optimizing inference and deployment
- Shape AI at Strava: Be a strong voice on a highly collaborative team with a range of experience levels. Work across teams to deploy ML solutions in multiple surfaces and build out our technical ML capabilities.
- Innovate in AI for Fitness: Design and develop novel models and methodologies to take on novel problems that improve athlete experience, including recommendation systems, activity prediction, and personalized insights.
- Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features
YOU WILL BE SUCCESSFUL HERE BY:
- Driving innovation with Product in mind: Stay up-to-date with the latest research in machine learning, AI, and related fields. Experiment, advocate and get buy-in for innovative techniques to improve existing products or explore new features that result in step function changes to how we build AI at Strava.
- Leading as an Owner: Owning your work end-to-end and being accountable for the outcomes in the projects you drive and landing impact for the business. Ensure the end-to-end system delivers as expected through collaboration with partners.
- Analyzing the Data: Work closely with product managers, data scientists, and engineers to find opportunities for applying machine learning to drive business impact and enhance Strava’s features and measure impact.
- Collaborating in and across teams: Build relationships, advocate, and communicate with cross-functional partners and product verticals to identify opportunities and bring your technical vision to life.
- Raising the ML standard: Help work towards best practices for model development, deployment, and maintenance.
- Being passionate about the work you are doing and contributing positively to Strava’s inclusive and collaborative team culture and values
WHAT YOU’LL BRING TO THE TEAM:
- Have worked on numerous machine learning problems and broken them down into incremental tasks.
- Have demonstrated solid interpersonal and communication skills, and collaborative approach to drive business impact across teams.
- Have experience building, shipping, and supporting ML models in production at scale.
- Have experience with exploratory data analysis and model prototyping, using languages such as Python or R and tools like Scikit learn, Pandas, Numpy, Pytorch, Tensorflow, and Sagemaker.
- Have built and worked on data pipelines using large scale data technologies (like Spark, Hadoop, EMR, SQL, and Snowflake).
- Are experienced and interested in production ML model operational excellence and best practices, like automated model retraining, performance monitoring, feature logging, and A/B testing.
- Have built backend production services on cloud environments like AWS, using languages like (but not limited to) Python, Ruby, Java, Scala, and Go.
For information on benefits, please click here. https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
Location: Guildford
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Gameplay Programmer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Work on all aspects of systems of the game: engine features, gameplay, UI, audio, animation, scripting, tools.
Work closely together with the other departments to implement the needed game components;
Work together with almost all content creators to deliver required features;
Write robust, maintainable auto-testable code in TDD fashion;
Be an active participant in the design and production of the game — technical side of the creative team and first line of feedback;
Help scope features and advise on best ways to implement them;
Work within an international team on a daily basis, spread between multiple studios across the world.
Requirements
4+ years experience
in C++;
Excellent feel for RPG systems and gameplay in general;
Experience with commercial proprietary engines;
Open-minded, willing to experiment and iterate over a specific feature;
Concepts as state machines, pathfinding, AI routines should be second nature;
Ability to think like a designer to create compelling and fun game play;
Can easily communicate in English;
You are a team player and willing to take responsibility;
Passion for making and playing great games;
Excellent software design and problem-solving skills;
Excellent software debugging skills.
Excellent architectural skills. Designing many parallel and gameplay systems is not a problem for you;
Game development experience.
This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity.
Nice to have
Bachelor’s degree in computer science or software engineering;
Experience with machine learning algorithms;
Experience with TDD and ECS;
Background in RPGs;
Shipped game/console titles.
What We Offer
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
We are looking for highly motivated individuals with ever-evolving skillsets and passion for player experience. If you want to contribute to making amazing RPG experiences, we would love to hear from you.
Location: Bengaluru
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Product team at Harvey, you'll play a critical role in designing and building new backend systems while equally scaling and strengthening our existing infrastructure. Our backend infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in Bengaluru, India.
WHAT YOU'LL DO
- Design and build scalable, fault-tolerant backend infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
- Representative Projects
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 10+ years of experience in Infrastructure Engineering or Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
NICE TO HAVE
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: South Africa; Bulgaria; Czechia; Poland; Georgia
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
If you're passionate about paid search marketing, data-driven campaign optimization, and scaling digital growth, this remote Google Ads Specialist role offers the opportunity to work with innovative companies and deliver measurable marketing results.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a Senior Google Ads Specialist with 5+ years of hands-on experience managing high-budget PPC campaigns. This is a high-impact remote marketing role where you will take ownership of Google Ads strategy, execution, and optimization across multiple client accounts.
You will be responsible for driving measurable growth through paid search, improving conversion performance, and scaling campaigns profitably.
Key Responsibilities
Plan, build, and manage Google Ads campaigns (Search, Display, YouTube, Performance Max)
Conduct in-depth keyword research, competitor analysis, and audience targeting
Optimize campaigns for performance metrics including CTR, CPC, CPA, ROAS, and conversion rates
Implement and manage conversion tracking (Google Tag Manager, GA4, tracking pixels)
Continuously test ad creatives, landing pages, and bidding strategies (A/B testing)
Analyze campaign performance and deliver actionable insights and reports
Manage and allocate advertising budgets effectively across campaigns
Collaborate with creative, content, and CRO teams to improve funnel performance
Stay updated on Google Ads updates, algorithm changes, and industry best practices
Requirements
5+ years of experience in Google Ads / PPC campaign management
Proven track record of managing high-performing campaigns with significant ad spend
Strong understanding of paid search strategies, bidding models, and funnel optimization
Hands-on experience with Google Analytics (GA4), Google Tag Manager, and conversion tracking setup
Experience working with eCommerce, SaaS, or lead generation campaigns
Strong analytical mindset with the ability to interpret data and make strategic decisions
Google Ads certifications are highly preferred
Excellent communication skills and ability to present performance insights clearly
Experience working remotely with international teams is a plus
Benefits
💻 Fully Remote: Work from anywhere with international teams
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Competitive Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Remote
Data Scientist (Senior Staff, Staff, & Senior roles available)
About the company
In the coming decades, demand for critical minerals such as copper, lithium, and cobalt will continue to grow. These minerals are needed to build electric infrastructure, vehicles, data centers, and electronics. However, the mining industry is making 10x fewer discoveries per dollar spent on exploration compared to 30 years ago because the easy-to-find, near surface deposits have largely been discovered.
KoBold was founded to be the first AI native mineral exploration, mine development, and technology development company. Our goal is to turn mineral exploration into a repeatable science to discover the minerals the world needs—by integrating artificial intelligence, human intelligence, and new technology. Our multidisciplinary teams of data scientists, engineers, and geologists work together to build data systems, design new sensors, and establish industry-leading workflows to develop and test subsurface predictions on our exploration projects.
Our first discovery, Mingomba, is a high-grade copper deposit in Zambia, found after spending materially less than industry average. We are developing Mingomba with the same technical rigor that we apply to exploration. The Mingomba team brings together mine and processing engineers, geologists, data scientists, software engineers, and community, health & safety, construction, and operations specialists. By combining industry knowledge and cutting edge technology, we are developing Mingomba into a world class project that has safer and more predictable outcomes for ourselves, partners, and communities. It is expected to create thousands of good jobs for generations.
KoBold runs exploration programs in eight countries, all with the potential for another discovery.
KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and strategic natural resources companies BHP and Mitsubishi.
We are hiring a Data Scientists to help accelerate our mission.
About the position
In this role, you will build predictive models and apply a wide range of scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.
You will join an outstanding team of data scientists and engineers and will work closely with KoBold’s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.
Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.
Responsibilities
The Data Scientist will:
Help develop KoBold’s proprietary software exploration tools.
Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold’s proprietary data system.
Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth’s crust.
Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.
Develop and apply data processing, statistical, and physics-based techniques to geoscientific data — from computer vision to geophysical inversions — and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.
Present to and collaborate with our external partners and stakeholders.
Qualifications
A great Data Scientist candidate will have:
Technical skills, including extensive experience with:
Python’s data science packages and general software engineering practices.
Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.
Cloud computing resources.
Building predictive models, applying them to different problems, and evaluating and interpreting the results.
Data from a variety of physical systems.
Geospatial analyses and visualizations.
Technical knowledge:
Broad skills in and knowledge of applied statistics and Bayesian inference
Substantial understanding of machine learning algorithms
Training and work experience:
An advanced degree in the physical sciences, engineering, computer science, or mathematics.
A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.
Experience leading technical teams to apply novel scientific approaches to core business problems
Work practices and motivation:
Ability to take ownership and responsibility of large projects.
Ability to explain technical problems to and collaborate on solutions with domain experts.
Communicates well on a collaborative, cross-functional team.
Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.
Ability to independently prioritize multiple tasks effectively.
Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.
Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.
Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.
A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.
It is also helpful but not required to have experience with:
Creating machine learning models on geospatial data
Geostatistics
Image processing or computer vision
Distributed computing applications for machine learning and other computations
What to Expect
Joining KoBold means getting the opportunity for hands-on exposure to our exploration projects around the world. All employees are expected to travel to project sites, with a minimum of one week per year. Field-facing and technical roles spend significantly more time in the field.
KoBold Metals is an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity for people of any race, color, ancestry, religion, sex, gender identity, sexual orientation, marital status, national origin, age, citizenship, disability, or veteran status.
This position is Full-time Exempt.
The US base salary range for this full-time exempt position is $140,00 - $240,000 (USD) plus equity and benefits.
Location: KoBold is a remote-first workplace. All candidates must be legally authorized to work in one of the following countries: United States, Canada, Australia, South Africa, United Kingdom, Zambia, Democratic Republic of the Congo, Namibia, Finland, Sweden, or Botswana.
Compensation ranges are listed in USD. If you are based outside the US, the range may not translate directly: US pay reflects a different market with different competitive dynamics, so we benchmark roles against the local market rather than converting the listed figure.
seniorFrankfurt, Germany; Readiness to work remotely with teams distributed across the world and timezones
seniorBerlin, Germany; Readiness to work remotely with teams distributed across the world and timezones
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