Location: Abu Dhabi, UAE
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About the Role
We are looking for an experienced User Reach & Lifecycle professional with a strong background in the crypto industry, exceptional data-driven thinking, and proven leadership capabilities.
This is a
leadership pipeline position
. The successful candidate will initially take ownership of key business initiatives, with the opportunity to progressively assume team leadership responsibilities based on performance and demonstrated capabilities.
The ideal candidate should have a deep understanding of crypto user behavior, trading products, and market dynamics, with the ability to drive the evolution of user engagement toward
data-driven personalization, intelligent recommendations, and automated reach
.
Key Responsibilities
User Lifecycle Management
Develop systematic lifecycle engagement strategies covering registration, KYC, first deposit/trade, activation, retention, churn prevention, and reactivation.
Segment users based on behavioral data, trading activity, asset holdings, and product preferences to deliver targeted engagement strategies.
Optimize lifecycle conversion funnels to improve trading activity, retention, reactivation, and long-term user value.
Personalization & Intelligent Recommendations
Design personalized engagement strategies and recommendation logic based on user behavior, interests, lifecycle stages, and real-time context.
Collaborate with Product, Data, and Algorithm teams to develop and implement user profiling, recommendation rules, and intelligent decision-making capabilities.
Establish recommendation prioritization, user-content matching, and performance evaluation mechanisms to improve relevance and conversion.
Market & Trading Scenario Engagement
Develop systematic market-triggered engagement strategies based on price movements, market trends, asset holdings, watchlists, and trading preferences.
Build real-time or near-real-time engagement triggers and optimize message relevance, timing, and frequency.
Improve the alignment between market insights and user interests to drive trading engagement and conversion.
Automated Reach & Engagement
Develop intelligent and automated engagement strategies across Push, Email, Inbox, In-App, Banner, Popup, and other owned channels.
Design automated engagement scenarios and trigger logic based on user lifecycle stages, behavioral signals, and market events.
Establish cross-channel prioritization, frequency capping, suppression rules, and channel orchestration to improve efficiency and user experience.
Drive the implementation and scaling of automated engagement capabilities while reducing manual operations.
Data Analytics & Business Growth
Establish key performance metrics for user engagement and lifecycle management, leveraging funnel analysis, user segmentation, cohort analysis, and A/B testing.
Evaluate engagement effectiveness and incremental business impact to continuously optimize strategies.
Drive measurable improvements in user activation, trading conversion, retention, and reactivation.
Project Leadership & Team Management
Lead complex cross-functional initiatives involving Product, Data, Algorithm, Engineering, and business teams, ensuring successful execution and measurable outcomes.
Develop clear project roadmaps, priorities, and milestones while proactively resolving execution challenges.
Demonstrate strong people management and talent development capabilities, with the potential to take on broader team leadership responsibilities.
Requirements
5+ years of relevant experience in crypto exchanges
, with a deep understanding of exchange products, business models, and user lifecycles.
Proven experience in personalization, recommendation systems, intelligent
CRM
, or algorithm-driven growth projects
, with the ability to design and implement effective engagement strategies.
Exceptional data sense and analytical thinking
, with strong capabilities in user behavior analysis, segmentation, conversion funnels, and experimentation.
Strong understanding of crypto trading behaviors, asset preferences, market sensitivity, and core trading products, including Spot and Derivatives.
Hands-on experience building automated engagement or lifecycle management frameworks, with a track record of scaling operational strategies.
Previous people management experience
, including goal setting, team development, and cross-functional collaboration.
Strong project ownership and execution capabilities
, with a proven track record of driving complex initiatives from 0 to 1 and delivering measurable business results.
Highly ambitious, resilient, results-oriented, and accountable
, with the ability to thrive in a fast-paced, high-pressure environment.
Fluent in both English and Chinese as working languages
, and willing to be based in Abu Dhabi, UAE.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape. If you have a strong interest in machine learning and enjoy challenging work, Affirm is the place for you!
What you'll do
Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of default and make an approval or decline decision to achieve business objectives
Partner with platform and product engineering teams to build model training, decisioning, and monitoring systems
Research ground breaking solutions and develop prototypes that drive the future of credit decisioning at Affirm
Implement and scale data pipelines, new features, and algorithms that are essential to our production models
Collaborate with the engineering, credit, and product teams to define requirements for new products
What we look for
2+ years of experience as a machine learning engineer or PhD in a relevant field
Proficiency in machine learning with experience in areas such as Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration. Domain knowledge in credit risk is a plus
Strong engineering skills in Python and data manipulation skills like SQL
Experience using large scale distributed systems like Spark or Ray
Experience using open source projects and software such as scikit-learn, pandas, NumPy, XGBoost, Kubeflow
Experience developing machine learning models at scale from inception to business impact
Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams
The ability to present technical concepts and results in an audience-appropriate way
Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm!
Pay Grade - L
Equity Grade - 5
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $133,000 - $183,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
We are looking for a
Middle Project Manager / Business Analyst
to improve and support knowledge management, onboarding, learning, and operational processes within our Creative Team.
This role goes beyond collecting requirements or maintaining documentation. We are looking for someone who can understand how processes work end to end, identify opportunities for improvement, take ownership of projects, and help the team scale efficiently.
The Project Manager will be one of the key participants in our changes — helping design new workflows, define requirements, support implementation, and ensure that new solutions are successfully adopted by the team.
What You Will Do
Process Analysis & Improvement
Understand existing workflows, identify bottlenecks and inefficiencies, and proactively propose improvements that make processes more scalable and effective.
Requirements & Solution Design
Gather and structure stakeholder needs, translate them into clear requirements, and participate in designing new processes, tools, and automation solutions.
Project Ownership
Take ownership of operational and improvement initiatives from idea to implementation: define scope, coordinate stakeholders, track progress, manage risks, and drive projects to completion.
Documentation & Knowledge Management
Maintain and improve the Creative Team’s documentation in Confluence, ensuring it is consistent, up to date, well structured, and aligned with current processes.
Onboarding & Access Coordination
Coordinate onboarding for new team members, including access to Confluence, Asana, internal knowledge resources, and other relevant tools. Maintain onboarding checklists and supporting materials.
Learning & Development
Coordinate internal training through the company’s LMS and support external educational projects, courses, and workshops.
Database Management
Support the development and maintenance of a structured marketing database, ensuring that information remains relevant, organized, and regularly updated.
What We Are Looking For:
Experience as a Technical PM / Business Analyst / Production Manager:
You know how to approach a business stakeholder, break a chaotic process down into "LEGO blocks," draft clear functional specs, and oversee the solution's delivery.
Background in Evolving Internal Products:
Ideally, you have prior experience automating back-office or production workflows within product-led tech companies or large advertising agencies.
High Level of Ownership & Proactivity:
We need someone who doesn’t wait for top-down, step-by-step instructions. You analyze the system independently, spot areas for growth, propose solutions, and drive them to completion.
Structured & Systemic Approach:
The ability to operate effectively in a fast-paced environment with high uncertainty, turning operational chaos into clear, structured algorithms.
Understanding of Technical Logic:
You don't need to write code or know SQL, but it is essential that you understand the underlying logic of software systems, databases, and integrations.
Nice-to-Have:
A genuine interest in Generative AI tools and experience integrating them into workflows.
Personal pet projects related to automation (e.g., if you’ve built a no-code/low-code workflow just to automate something for yourself).
Prior experience in creative production, marketing, or ad agencies (understanding the exact dynamics between creative producers and designers).
Why You'll Love Working With Us:
Real impact:
The results of your work will directly drive the company's key scaling metrics. You will see firsthand how workflows accelerate by multiples thanks to your efforts.
Flexibility:
100% remote work. Our team is globally distributed across Europe and beyond.
Health:
company-provided medical expense compensation.
AI solutions:
АІ subscription and other tools.
Balance:
Flexible paid time off, you get 21 days of annual leave + 10 bank holidays.
Collaborative Culture:
Work alongside passionate professionals who are as driven as you are.
Location: London
Workplace: Hybrid
ABOUT NIANTIC SPATIAL
We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space.
That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are.
In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right.
Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us.
ABOUT THE ROLE
We are looking for 3D Reconstruction Research Scientist to join our Research Team in London.
Our team researches and builds the 3D reconstruction technology behind Niantic Spatial's platform. These pipelines turn casually captured or domain specific imagery into high-fidelity explorable 3D reconstructions. This entails anything from Structure-from-Motion through to 3D Gaussian Splatting, feed-forward models, and generative models. Our team shipped 360 splatting to consumers and enterprise customers, developed the splatting tech that runs on phones, shipped multiple POCs to enterprise customers, and have innovated on countless AR technologies. Our team has published at top venues (CVPR, ICCV, ECCV, SIGGRAPH); more often than not, our papers end up in production. We're hiring a researcher to work at both ends of that pipeline. You will implement and iterate on the state-of-the-art for both academic publishing and production, regularly working on prototypes with a short turnaround into customer-facing production.
You will work alongside world-class researchers in computer vision, machine learning, graphics, and robotics to develop new approaches for large-scale spatial understanding, localization, reconstruction, scene understanding, and geospatial foundation models.
WHAT YOU’LL DO
- Conduct original research in computer vision, machine learning, and spatial AI.
- Design, implement, and evaluate novel algorithms for:
- 3D reconstruction
- Neural scene representations
- 3D Gaussian Splatting
- Geometric deep learning
- Structure-from-Motion (SfM)
- Meshing
- Feed-forward models
- Generative models
- Spatial foundation models
- Collaborate with research scientists and engineers to transition promising ideas into future products.
- Develop large-scale experiments and benchmarking frameworks.
- Work directly with the realities of production with real capture conditions, real hardware constraints, and real customers.
- Publish research findings at leading conferences such as CVPR, ICCV, ECCV, or SIGGRAPH.
WHAT YOU’LL BRING
- PhD in Computer Vision, Robotics, Machine Learning, Computer Science, Mathematics, Physics, or a closely related field. Exceptionally strong candidates with equivalent experience in industry would be considered.
- A strong research track record in 3D computer vision: reconstruction, depth estimation, novel view synthesis, SfM, SLAM, or closely related areas.
- Strong publication record at top-tier conferences such as CVPR, ICCV, ECCV, SIGGRAPH, NeurIPS, etc.
- Strong programming skills in Python and experience in PyTorch.
- Evidence that you can carry an idea from research into something real; that may be a shipped feature, a production pipeline, a widely used open-source release, or similar.
- Ability to independently drive research projects from idea generation through experimentation and publication.
NICE TO HAVE
- Experience with classical reconstruction tooling (COLMAP or similar).
- C++ or CUDA experience, and a feel for performance and on-device constraints.
- Experience with traditional 3D techniques — meshing, texturing, or bringing modern geometry or generative representations into native 3D.
COMPENSATION & BENEFITS
Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package.
LOCATION & WORK MODEL
This role is based in our London office, with three days per week in office.
INCLUSIVE APPLICATION
We know the strongest candidates don’t always tick every box. If you’re excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn’t match every qualification listed — you may be exactly who we’re looking for.
EQUAL OPPORTUNITY
Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.
CANDIDATE PRIVACY
I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English and Vietnamese
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English and Turkish
The expected hourly salary range for this position is $15-$20 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Remote - United States
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.
This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.
You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance.
This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms.
What You’ll Own:
Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
Labeling elements of a piece of content rather than the content as a whole.
Assigning predefined categories or labels to items.
Evaluating the perceived quality and/or appropriateness of content
Generating labels to advance understanding of a concept, trend etc.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.
Ordering or ranking items based on a set of preferences or criteria.
Creating prompts or questions that will be used to generate responses from a language model or other AI system.
Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
Generating responses to prompts or questions using a language model or other AI system.
Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
Producing concise summaries of longer pieces of text or data.
Converting spoken language or audio content into written text.
Converting text or spoken language from one language to another.
Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.
You’ll Thrive in This Role If You Have:
A Bachelor’s degree or higher in a
humanities specialization
is required. Advanced degrees are strongly preferred (Master’s or PhD)
Professional or Expert level proficiency (C1/C2) in English and Russian
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at
https://consumer.ftc.gov/articles/job-scams.
If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at
verifyjoboffer@innodata.com
and consider reporting it to the FTC at
ReportFraud.ftc.gov
.
Location: Brussels; Rome; Barcelona; Zug; Porto; Cape Town; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Dubai; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Abu Dhabi; Lisbon; Tallinn; London OR Brussels; Seychelles; Rotterdam; Krakow; Johannesburg; Zagreb
SENIOR DATA ENGINEER
ABOUT KEYROCK
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
ABOUT THE TEAM AND WHY THE ROLE EXISTS
The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few.
You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open.
WHAT YOU’LL DO
- Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures.
- Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us.
- Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events.
- Design the lakehouse and time-series layer around consumer query patterns.
- Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing.
- Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management.
- Make observability, cost, and performance first-class from day one.
- Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team.
- Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams.
WHAT WE’RE LOOKING FOR
Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind.
Engineering Craft
- 8+ years of building production data systems that other people rely on.
- Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it.
- Code that's easy for someone else to read, test, and delete later.
- Strong understanding of data modelling for both streaming and analytical workloads.
- Efficiency, quality, idempotency, and observability are taken seriously by default.
Systems Design
- You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries.
- You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns.
- You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost.
- You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop.
Operational Readiness
- Docker, Terraform, and CI/CD are how you work, not a separate "DevOps" thing.
- You think about cost and performance early.
- You instrument as you build: logs, metrics, and traces are part of the system from day one.
- You design for data quality and governance up front covering contracts, validation, lineage, and ownership
How You Think and Work
- You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more.
- You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way.
- You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't.
- You take ownership end-to-end: design, ship, operate, improve.
- You say what you think including when it's an unpopular take. You change your mind when the argument is better.
- You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again.
- You're curious about how markets work. Data engineering on its own won't keep you interested here.
- You're honest about what you know and what you don't, and quick to close the gap.
- You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus.
NICE TO HAVE
- Lakehouse experience with Apache Iceberg or Delta Lake.
- Familiarity with DataHub or similar metadata/lineage platforms.
- Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required.
WHAT YOU’LL GET
- A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us.
- Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum.
- Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team.
- A competitive salary package, with various benefits.
- A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room.
OUR RECRUITMENT PROCESS
We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock
Location: MX - Mexico City, Mexico
Scopely is seeking a highly motivated
Software Engineer
to join our Playgami team in Mexico City on a hybrid basis working 3 days a week from the hub!
At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.
Playgami is building the best SaaS gaming platform ever! The team strives to create the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC.
What You’ll Do
Design, architect and help implement features to run world-class games at scale
Drive the integration of new features directly with game teams using technologies like Java, C#, and NodeJs
Take responsibility for the quality of what the team creates, helping to establish good practices
Ensure our systems are reliable, scalable, secure, and highly performant
Deliver code and supporting documentation of the highest quality through good design, attention to detail and system testing on a timely basis
Work in an agile environment where your opinions matter
Team up with skilled colleagues who are committed to delivering the best products possible
Share knowledge, provide feedback, and help colleagues both inside and outside of your team
What We’re Looking For
Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
3+ years of experience working with Java, C#, or another OO language, including experience with asynchronous, multi-threaded, parallel programming paradigms
Solid experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
High-quality and maintainable code writing
Strong English language skills are required for this role, as we have a highly diverse and global business
Bonus Points
Web development experience on a modern technology such as React, Vue, or Angular
Experience with and knowledge of Unity Game Engine or similar technology (i.e. Unreal Engine)
Experience owning and driving the technical execution of complex and interdisciplinary development
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: IN - Bangalore, India
Scopely is looking for a
Senior Game Mathematician
to join the Royal Lounge Casino team in Bangalore.
At Scopely, we care deeply about what we do and aim to inspire play every day, whether through our work with talented colleagues or through our connection with millions of players around the world. We are a global team of game lovers developing, publishing, and innovating within the mobile games industry.
Royal Lounge Casino is a category-leading free-to-play social casino experience, offering slots, bingo, cards, and more to a large, established player community. Our team is distributed across multiple global hubs, including Bengaluru, Tel Aviv, and Barcelona.
What You’ll Do
Game Math Design:
Design and balance slot game mathematics, including reel structures, paytables, bonus features, and reward systems, to meet target RTP, volatility, hit frequency, feature frequency, maximum win, and reward budgets
Game Mechanics Development:
Translate game themes and creative concepts into engaging, mathematically feasible slot mechanics and features in collaboration with Game Designers and Artists
Player-Centric Balancing:
Balance game pacing, win distributions, bonus features, and reward structures to deliver enjoyable gameplay experiences aligned with the intended game design objectives
Tool Development:
Develop and maintain mathematical models, simulators, calculators, and validation tools using Excel and Java, with Git for version control and Gradle for build automation
Simulation & Validation:
Conduct large-scale simulations to validate theoretical calculations, test edge cases, analyze win distributions, and identify unexpected outcomes
Implementation & Validation:
Collaborate with Engineering and QA to ensure implemented game logic aligns with approved mathematical models, supporting debugging, test planning, and validation through release
Mathematical Integrity:
Maintain mathematical accuracy, fairness, and consistency between theoretical models and implemented game behavior
Data-Driven Iteration:
Use playtesting feedback, player behavior insights, live-game performance data, and competitor analysis to refine game mechanics and improve the player experience
Documentation:
Prepare and maintain accurate PAR sheets, paytables, probability calculations, simulation results, test plans, and mathematical specifications
Cross-Functional Collaboration:
Communicate mathematical concepts, assumptions, risks, and trade-offs clearly to Game Design, Engineering, Art, QA, Product, and other stakeholders
Ownership & Delivery:
Take ownership of mathematical deliverables, timelines, model revisions, reviews, and feedback through final validation and release
What We’re Looking For
Experience:
4+ years of experience in game mathematics, preferably designing and balancing casino slot games
Programming & Tooling:
Proficiency in Excel and Java or another relevant programming language, with working knowledge of Git and Gradle for developing mathematical models, simulators, calculators, and validation tools
Programming Fundamentals:
Strong understanding of data structures, algorithms, object-oriented programming (OOP), and standard software design patterns
Game Mathematics & Balancing:
Strong understanding of RTP, volatility, hit frequency, feature frequency, and win distributions, with the ability to design and balance mathematically sound game mechanics aligned with target metrics and gameplay objectives
Game Development & Validation:
Experience taking mathematical game concepts through development, simulation, validation, and production release, including comprehensive test coverage and iterative refinement
Data-Driven Iteration:
Experience using playtesting results, player behavior insights, live-game performance data, and competitor analysis to evaluate and improve game mechanics
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Warsaw, Poland
What is Box?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
Why Box needs you:
The Content Creation team owns Notes and Canvas products of Box's platform. The functionality that this team builds is used by our largest cohorts of users (versus just admin users). They are the only true real-time service at Box, using web sockets to deliver a real-time editing product. It's a complex problem space that we are experts in, and it's a great team to join if you want to contribute to creating one of the most vital Box products. The team is mostly developing Front-End with React.js, for Back-End tasks they use mostly Node.js.
Responsibilities:
Develop high-quality, scalable, and responsive software using modern technologies.
Write clean, efficient, and maintainable code using industry best practices.
Partner with cross-functional teams to onboard, share knowledge, and align on current responsibilities and priorities
Participate in regular team meetings and manager 1:1s to ensure alignment, growth, and continuous improvement
Create clear technical documentation, reusable patterns, and examples to scale knowledge across engineering teams
Leverage AI tools (e.g., Claude, Cursor) to accelerate development, research, documentation, and bug triage while maintaining high standards of quality and security
Represent and advocate for Box Poland’s engineering excellence both internally and externally
Maintain and support one or more legacy codebases
Contribute to defining and implementing engineering standards across product teams
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
Requirements:
6+ years of professional software development experience, with 3+ years of with significant backend contributions and 3+ years of frontend contributions.
Strong coding skills with demonstrated fluency in
Node.js + TypeScript
for backend.
Experience designing and implementing APIs and distributed services; solid grasp of system design and data modeling.
Demonstrated fluency in
JavaScript/TypeScript
with at least one modern frontend framework (
React
preferred). Strong understanding of state management, responsiveness, accessibility, performance, and security basics.
Some experience in design, building, and deploying high-quality software in cloud environments.
Strong knowledge of algorithms, data structures, software design principles, and object-oriented programming.
Passionate about new technologies with the capability to implement them in existing products.
Demonstrates ownership mentality and strives for excellence in both technical work and team interactions.
Proficient in English.
Nice to have:
Experience with Google Cloud Platform and/or Amazon Web Services.
Experience with Web sockets and real-time applications
Experience contributing to cross-platform solutions as part of a team
At Box, we believe that providing the best tools leads to the best outcomes. That's why we equip our engineers with AI-powered development tools like Cursor IDE and GitHub Copilot to help you write better code faster.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to
work from their assigned office a minimum of 3 days per week
, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
BENEFITS
Check out the overview of the
benefits and additional perks offered at Box.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation".
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice
. For more details on how Box Poland protects your information, please see our
Supplemental Personnel and Candidate Privacy Notice
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
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 strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots.
You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors.
You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.
WHAT YOU'LL DO
- Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors.
- Develop motion primitives using different learning based generative models.
- Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control.
- Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo.
- Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data.
- Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots.
- Optimize policy inference and training systems for the performance and latency requirements of real-time control.
- Integrate learned policies into the broader robot control and autonomy stack.
WHAT WE'RE LOOKING FOR
- BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field.
- 3+ years of experience developing machine learning systems in industry or research.
- Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging.
- Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning.
- Strong Python and PyTorch experience.
- Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms.
- Ability to reason about learning algorithms in the context of dynamics, control, and physical systems.
Nice to have:
- Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems.
- Experience with whole-body control, locomotion, motion imitation, or loco-manipulation.
- Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap.
- Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations.
- Experience training policies at scale across large numbers of simulated environments.
- Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.
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: Berlin Office
Workplace: Hybrid
About the role
Banks and fintechs use Taktile to automate critical decisions, like credit, fraud, and compliance, in real time.
We're building the infrastructure that makes financial institutions truly AI-native, and we've partnered with the Hasso Plattner Institute (HPI), a leading computer science institute in Europe, to offer a dedicated opportunity designed only for HPI students.
Starting in April 2027, you'll join one of our engineering teams for 6 months in Berlin and ship real features, with experienced engineers mentoring you along the way. Several HPI alumni already work here, from early-career engineers to senior engineers leading major parts of our product.
This program is tailored for Computer Science students eager to gain hands-on industry experience while building the foundations for a world-class engineering career.
If you have strong engineering fundamentals and want to grow fast in a team where what you build reaches customers soon after you ship it, we'd love to hear from you.
WHAT YOU'LL DO
- Depending on your final team, either work on backend components written in Python / FastAPI, hosted on an AWS serverless architecture, or work on React/Typescript front-end components, or a combination of both!
- Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions.
- Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups.
REQUIREMENTS:
- Taktile is a hybrid company that requires working 3 days/week from our Berlin HQ in Germany.
- Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication.
- Strong engineering fundamentals with a passion for simplicity and precision.
- Availability for a 6-month full-time internship.
REQUIRED EXPERIENCE
- Fantastic Computer Science fundamentals. Data structures, algorithms, networking, distributed systems, databases, and everything in between!
IDEAL, BUT NOT REQUIRED
- Exposure to AWS, especially Lambda.
- Experience with frontend development - React or similar frameworks.
OUR OFFER
- Work with colleagues who lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a MacBook Pro as well as cutting-edge hardware.
OUR STANCE
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
ABOUT TAKTILE
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents.
With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding.
Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
Through this exclusive partnership with Taktile, HPI students have the unique opportunity to gain industry experience in a high-growth startup environment while continuing their education among some of Europe’s brightest technical minds.
ABOUT YOUR EMPLOYMENT.
Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
YOUR PRIVACY
Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
HOW WE USE YOUR DATA
We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
LEGAL BASIS (EU/UK APPLICANTS)
We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
RETENTION
If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records.
YOUR RIGHTS
Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent.
AUTOMATED DECISION-MAKING
We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
INTERNATIONAL TRANSFERS
Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy https://taktile.com/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com http://taktile.com
Location: Remote; Japan (Remote); Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Estonia (Remote); Singapore (Remote); Slovenia (Remote); Mexico (Remote); Portugal (Remote); USA (Remote); Israel (Remote); Kyrgyzstan (Remote); Bulgaria (Remote); Austria (Remote); Iceland (Remote); Croatia (Remote); Hungary (Remote); Ireland (Remote); Canada (Remote); South Africa (Remote); Brazil (Remote); Greece (Remote); Mauritius (Remote); UK (Remote); Romania (Remote); Cyprus (Remote); Malta (Remote); Latvia (Remote); Argentina (Remote); Bosnia and Herzegovina (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 C++ Functional Team, you'll build the high-performance code at the core of DuckDuckGo's browser using modern C++ and Chromium, and work on related projects.
You can expect to work on projects like:
- Implement tracker blocking that stops hidden trackers on every site without slowing page loads.
- Bring VPN and Personal Information Removal into the browser through the DuckDuckGo subscription.
- Catch startup and responsiveness regressions automatically, so the browser stays fast as it grows.
As a Senior C++/Chromium Engineer, you'll lead complex projects from proposal through post-mortem. You'll turn vague problems into clear plans, build them in a large modern C++ codebase, and use metrics to show they worked. Some days that means low-level systems work. Others, it means architecture decisions the whole team builds on. You'll collaborate with design and product, mostly asynchronously, to build features people use to protect their privacy.
ABOUT YOU
- Ability to lead and collaborate on high-impact, complex projects from proposal through post-mortem
- Skills to wrangle vague problems, propose innovative solutions, and execute them with a strong focus on metrics
- 7+ years of software engineering experience
- Advanced modern C++ expertise (C++23 or newer), including memory management, concurrency, and performance profiling
- Experience driving technical work end-to-end on large-scale C++ codebases
- Comfort with large build systems, debuggers, and profilers
- Experience shipping software to a large consumer audience
- Solid computer science foundation (algorithms and data structures)
- Bonus: Windows development experience
- Bonus: experience with browsers (Chromium, WebKit, WebView), game engines, or large desktop applications
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 at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations:
United States: Atlanta, GA; Austin, TX; Denver, CO; Seattle, WA; Washington DC
United Kingdom: London
Portugal: Lisbon
Canada: Toronto
About the team
Cloudflare Browser Isolation
runs web content in remote browsers, helping protect users from threats while preserving a responsive browsing experience. Our team builds the Chromium-based browsing engine, remote rendering and streaming technology, and distributed services that manage browser sessions across Cloudflare’s global network.
You will work at the intersection of systems programming, distributed systems, and security. Engineers contribute across the product, collaborating on browser changes, service orchestration, observability, and build infrastructure.
Scope and growth
At this level, you will be accountable for reliable delivery within a defined component or problem area. You will make sound implementation decisions, seek help when needed, and build broader system knowledge over time. You do not need to have led an organization-wide architecture effort to succeed in this role.
Technologies we use
Browser engine: Chromium and C++.
Systems programming: Rust.
Distributed services and orchestration: Go, TypeScript, Cloudflare Workers, Nomad, and Consul.
Remote rendering and streaming: WebRTC and Skia.
Browser client: TypeScript, WebAssembly, and WebGL.
What you will do
Own well-scoped features and improvements from design and implementation through testing, rollout, and production follow-up, with support from experienced teammates.
Develop and maintain C++ code in our Chromium-based browser, and contribute across distributed services and systems components written in Go, Rust, and TypeScript.
Debug failures across browser processes, Linux hosts, and distributed services using logs, metrics, traces, and profiling tools.
Improve session reliability, startup time, interactive latency, and resource efficiency; validate improvements with measurements.
Write maintainable code, automated tests, and clear design notes; participate in constructive code and design reviews.
Collaborate with teammates and partner teams, communicate trade-offs and blockers, and incorporate feedback.
Participate in the team’s production on-call rotation after onboarding, and contribute to incident mitigation and follow-up improvements.
This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed.
Desirable Skills, Knowledge, and Experience
Experience delivering and maintaining production software, with practical C++ proficiency and an understanding of memory ownership, resource lifetimes, and concurrency.
Linux/UNIX fundamentals, including processes, threads, networking, and tools for diagnosing system behavior.
Working knowledge of data structures, algorithms, and software design.
Experience developing or operating distributed systems, with an understanding of service-to-service communication, timeouts, retries, partial failure, and basic consistency trade-offs.
Ability to navigate an unfamiliar codebase, break a defined problem into deliverable steps, and test correctness and failure cases.
A systematic approach to debugging and performance analysis, using evidence to form and test hypotheses.
Clear communication, collaborative problem-solving, and a willingness to learn Rust, Go, TypeScript, and the rest of our stack.
Bonus Points
These are preferred qualifications, not prerequisites. Prior Browser Isolation or Cloudflare experience is not required.
Browser engines, Chromium, browser sandboxing, or security-sensitive systems.
Low-latency streaming, graphics, remote computing, or other real-time systems.
Container and workload orchestration, including Nomad or Kubernetes, and service discovery.
Experience using Rust for systems programming or distributed services.
Go or TypeScript; WebRTC, Skia, WebAssembly, or WebGL.
Production observability, capacity planning, incident response, or build and release infrastructure.
Compensation
For Denver based hires: Estimated annual salary of 136,000 - 187,000 USD
For Seattle based hires: Estimated annual salary of 150,000 - 206,000 USD
For Washington DC based hires: Estimated annual salary of 150,000 - 206,000 USD
For Toronto based hires: Estimated annual salary of 117,000 - 161,000 CAD
For Lisbon based hires: Estimated annual salary of 54,000 - 75,000 EUR
The final offer will be in alignment with the applicable law and collective bargaining agreements.
Applications will be accepted until November 25, 2026.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
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