Location: Paris; Zurich; Warsaw; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE RESEARCH ENGINEERING TEAM
The team spans Platform (shared infra & clean code) and Embedded (inside research squads). Engineers can move along the research↔production spectrum as needs or interests evolve.
As a Research Engineer – ML track, you’ll build and optimise the large-scale learning systems that power our open-weight models. Working hand-in-hand with Research Scientists, you’ll either join:
- Platform RE Team: Enhance the shared training framework, data pipelines and cluster tooling used by every team; or
- Embedded RE Team: Sit inside a research squad (Alignment, Pre-training, Multimodal, Safety …) and turn fresh ideas into repeatable, scalable code.
What You Will Do
• Accelerate researchers by taking on the heavy parts of large-scale ML pipelines and building robust tools.
• Interface cutting-edge research with production: integrate checkpoints, streamline evaluation, and expose APIs.
• Design, implement and benchmark ML algorithms; write clear, efficient code in Python.
• Deliver prototypes that become production-grade components for Vibe and our enterprise API.
What We're Looking For
• Master’s or PhD in Computer Science (or equivalent proven track record).
• 4 + years working on large-scale ML codebases.
• Hands-on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed / FSDP / SLURM / K8s).
• Experience in deep learning, NLP or LLMs; bonus for CUDA or data-pipeline chops.
• Strong software-design instincts: testing, code review, CI/CD.
• Self-starter, low-ego, collaborative.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Paris; Zurich; Warsaw; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Location: Bulgaria, Hungary, Poland
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers.
What You’ll Do
Design and implement end-to-end document intelligence pipelines on AWS
Develop and optimize ML models for document classification, segmentation, and field extraction
Build scalable data processing systems handling PDFs up to 2000 pages
Collaborate with subject matter experts to create and refine requirements for extraction
Own features from research through production deployment and monitoring
Establish evaluation frameworks and quality metrics for extraction accuracy
What You Bring
Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic)
Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions)
Advanced knowledge of SQL and Data Modeling
Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs
Experience in experiment design (power analysis and hypothesis testing)
Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment
Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions
Experience owning a feature from concept to production, including proposal, discussion, and execution
Nice to have
Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems)
Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow)
Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks)
Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.)
English Level
Upper-intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more.
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions.
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs.
Compensation details are shared with candidates at the early stage of the recruitment process.
The offer is not binding until a signed contract is in place.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Location: Belgrade; Tbilisi; Madrid; Lisbon; Poland; Valencia; Riga; Tallinn; Zagreb
Workplace: remote
About us:
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.
Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.
We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.
Key responsibilities:
Track, report, and analyze traffic performance
Perform ongoing keyword discovery, expansion, and optimization
Research and implement search engine optimization recommendations
Optimize copy and landing pages for search/answer engine marketing
Research and analyze competitor websites and activities
Develop and implement link building strategy
Work closely with the development team to ensure SEO/GEO best practices are properly implemented in newly developed code
Lead content creation and content programming
Recommend and implement where applicable changes to website architecture, content, linking and other factors to improve SEO/GEO positions for target keywords
Requirements:
Proven SEO/GEO experience with international brands (3+ years)
Proven list of projects for GEO
Solid understanding of performance marketing, conversion, and online customer acquisition
In-depth experience with website analytics tools (e.g, GA, GSC, Data Studio, WebTrends, Semrush, etc)
Knowledge of ranking factors, search engine algorithms, answer engines algorithms
Up-to-date with the latest trends and best practices in SEO, GEO, SEM
Working knowledge of HTML, CSS, and JavaScript development and constraints
Proficiency conducting keyword analysis and research across multiple markets and languages
Upper-Intermediate level of English. Additional languages, especially French, Spanish, Italian, Portuguese are a big advantage
Daily use of coding tools
What we offer:
- Great work environment that balances freedom and responsibility
- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge
- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year
- Company computer equipment by request
- Education courses for our team members, and we're willing to allocate funds toward your training expenses
- English classes on our corporate platform
- Offline company events in Lithuania and online team-building
- Unlimited free Planner5D subscriptions
Location: Warsaw; Barcelona; Amsterdam
Workplace: hybrid
About us:
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.
Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.
We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.
Key responsibilities:
Track, report, and analyze traffic performance
Perform ongoing keyword discovery, expansion, and optimization
Research and implement search engine optimization recommendations
Optimize copy and landing pages for search/answer engine marketing
Research and analyze competitor websites and activities
Develop and implement link building strategy
Work closely with the development team to ensure SEO/GEO best practices are properly implemented in newly developed code
Lead content creation and content programming
Recommend and implement where applicable changes to website architecture, content, linking and other factors to improve SEO/GEO positions for target keywords
Requirements:
Proven SEO/GEO experience with international brands (3+ years)
Proven list of projects for GEO
Solid understanding of performance marketing, conversion, and online customer acquisition
In-depth experience with website analytics tools (e.g, GA, GSC, Data Studio, WebTrends, Semrush, etc)
Knowledge of ranking factors, search engine algorithms, answer engines algorithms
Up-to-date with the latest trends and best practices in SEO, GEO, SEM
Working knowledge of HTML, CSS, and JavaScript development and constraints
Proficiency conducting keyword analysis and research across multiple markets and languages
Upper-Intermediate level of English. Additional languages, especially French, Spanish, Italian, Portuguese are a big advantage
Daily use of coding tools
What we offer:
- Great work environment that balances freedom and responsibility
- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge
- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year
- Company computer equipment by request
- Education courses for our team members, and we're willing to allocate funds toward your training expenses
- English classes on our corporate platform
- Offline company events in Lithuania and online team-building
- Unlimited free Planner5D subscriptions
Location: Belgrade, Serbia; Tbilisi, Georgia; Bogota, Colombia
Workplace: remote
Responsibilities
Execute and optimize paid search campaigns across various search engines, with a focus on Google Ads.
Perform keyword research, create compelling ad copy, and optimize landing pages for better performance.
Monitor campaign metrics and make data-driven adjustments to improve CTRs and conversions.
Stay updated on industry trends and search engine algorithm changes to optimize campaign strategies.
Prepare reports on campaign performance and provide insights and recommendations for improvement.
Collaborate with the English-speaking Client Service team, ensuring effective communication, understanding client requirements, and addressing their needs and concerns.
Job requirements
Minimum of 2 years of hands-on experience in managing paid search campaigns, preferably with a focus on Google Ads.
Strong knowledge of search engine marketing principles, best practices, and industry trends.
Proficiency in Google Ads and Google Analytics.
Analytical mindset with the ability to interpret and derive actionable insights from campaign data.
Fluent English (B2+).
Location: Singapore
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ABOUT THE JOB
Mistral AI is seeking an Applied AI Engineer focused on robotics deployment. You will take state-of-the-art AI models and make them work on real robots, in real environments, for real customers. This is a hands-on role at the intersection of machine learning and physical systems: you will own the path from model to deployed autonomy, working alongside robotics engineers, ML researchers, and systems engineers to deliver end-to-end autonomous solutions across diverse use cases.
WHAT YOU WILL DO
- Integrate AI models with robotic hardware, sensors, and embedded systems, bringing modern perception and language-driven capabilities onto physical platforms.
- Improve the robustness, reliability, and safety of robotic systems operating in real-world, unstructured environments.
- Test and validate algorithms in simulation and in real-world deployments, moving fluidly between the two.
- Analyze field data to improve model performance and system reliability, closing the loop between what happens on the robot and what happens in training.
- Bring up, tune, and debug the autonomy stack — localization, mapping, navigation, and perception — on real hardware, from sensor calibration to real-time performance.
- Develop and tune robot navigation behaviors — path planning, obstacle avoidance — so systems hold up in dynamic, cluttered, and partially observable environments.
- Diagnose failures end-to-end: mapping drift, localization dropouts, perception edge cases, timing issues — and fix them.
- Collaborate with robotics engineers, ML researchers, and systems engineers to deliver complete autonomous solutions for customer use cases, from prototype through production deployment.
- Build and maintain the tooling needed for deployment, monitoring, and continuous improvement of deployed systems.
ABOUT YOU
- Bachelor's, Master's, or PhD in Mechatronics, Robotics, or a relevant discipline (e.g. Computer Science, Electrical or Mechanical Engineering).
- Fluent in English with excellent communication skills.
- Strong software engineering in Python and/or C++: clean, readable, high-performance code; comfortable working in and improving production codebases.
- Knowledge of robotics frameworks such as ROS/ROS2.
- Experience with robot perception and state estimation: SLAM, localization and mapping, path planning, sensor fusion, or computer vision.
- Solid mathematical fundamentals — geometry, probability, and estimation — and the judgment to know when a hand-crafted algorithm beats a learned one.
- Familiarity with simulation tools and robotics development environments (e.g. Isaac Sim, Gazebo, or similar).
- Strong problem-solving skills and ability to work in interdisciplinary teams.
- Comfortable with the messiness of the real world: hardware quirks, edge cases, and field surprises don't scare you.
- Low-ego, collaborative, and eager to learn.
- Doesn't need roadmaps. Ships.
NICE TO HAVE
- Experience deploying ML models on embedded or edge hardware (GPU/NPU inference, quantization, real-time constraints).
- Hands-on experience with sensor modalities such as LiDAR, depth cameras, or IMUs, including calibration and time-synchronization.
- Exposure to VLM/VLA models or other foundation-model approaches for robot perception and control.
- Experience with navigation in GPS-denied or otherwise challenging environments, or with visual-inertial odometry.
- Working knowledge of established autonomy tooling — e.g. Nav2, SLAM Toolbox, Cartographer, RTAB-Map, or AMCL — and knowing when to build versus reuse.
- Experience with behavior trees, dynamic costmaps, or fleet-level navigation.
- Contributions to open-source robotics or ML projects.
- Experience with safety-critical or regulated deployment environments.
- Track record of success through personal projects, professional projects, or academia.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Berlin
Workplace: Hybrid
adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world's smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.
Next-Gen Machine Intelligence for Scalable Discovery & Engagement
The Data Science Research team builds foundational ML representations and advanced AI capabilities that enhance both Playtime and adjoe Ads. Operating as a horizontal deep-tech layer, the team leverages advanced AI and deep learning approaches—specifically generative approaches —to deliver critical systems such as high-dimensional user embeddings, general content understanding and sequential recommendation. These frameworks scale adjoe's products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users.
The team operates at the intersection of bleeding-edge R&D and high-scale production engineering, acting as the company’s internal science bar raiser and primary consulting layer for complex ML bottlenecks. The stack is optimized for deep learning and heavy data throughput: PyTorch and [Ray/Hugging Face] for training and fine-tuning foundation models, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure for heavy workloads. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain high-throughput, realtime production environments.
Your Mission & Who We Are Looking For:
- PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics, or an MSc with extensive industry research, and publications in top-tier venues like SIGIR, KDD, NeurIPS, or ICLR. You've spent 4+ years building large-scale recommender systems in high-throughput environments: AdTech, e-commerce, or social.
- You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting multi-stage recommendation pipelines, Generative Retrieval, Deep Ranking, and Re-ranking, serving millions of requests across a stack built on 770 million users' behavioral data.
- Deep expertise in PyTorch and large-scale model optimization. You have hands-on experience with high-concurrency optimization, model quantization, and distillation, the engineering side of getting large generative models to run under extreme production constraints, not just in research environments.
- Content understanding and embeddings are core to your work. You research and develop information-rich user and ad embeddings using unsupervised and generative approaches, directly improving the quality of predictions across both Playtime and adjoe Ads.
- Raises the technical bar around them. You lead architectural debates, mentor junior scientists, and drive the team's research direction without needing a roadmap handed to you.
🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Location: Remote Roles - EMEA; Sliema, Malta
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are looking for a Senior or Lead Product Manager to lead the strategy, development, and continuous improvement of our professional trading tools and end-to-end trading experience.
This role is focused on products for active and professional traders. The scope includes advanced market analysis, trading workflows, order execution, position and risk management, workspace customisation, and selected automation capabilities.
You will develop a deep understanding of how professional traders use leading platforms such as TradingView, 3Commas, Bookmap, ATAS, and Quantower, and translate those insights into a differentiated, reliable, and intuitive trading experience.
Experience in the crypto industry is a strong plus. We welcome candidates who have built professional trading products for equities, futures, options, FX, commodities, or other electronic markets. Experience with crypto markets and products is a strong advantage.
What You’ll Be Doing
Own the product vision, strategy, roadmap, and delivery of professional trading tools and the broader trading experience.
Build a deep understanding of active and professional traders, including their daily workflows, trading behaviours, pain points, and expectations.
Lead the development and improvement of market analysis, charting, order execution, position management, account monitoring, and workspace customisation.
Identify opportunities to introduce advanced trading and automation capabilities that improve efficiency while keeping users in control of their trading decisions.
Improve the quality of the end-to-end trading journey, from discovering an opportunity and placing an order through execution, position monitoring, and post-trade review.
Ensure the product meets professional standards for performance, stability, accuracy, usability, and transparency, particularly during periods of high market volatility.
Conduct structured user research and competitor analysis across professional trading terminals, charting platforms, and trading automation products.
Define product success metrics and use customer feedback, behavioural data, and trading data to evaluate performance and guide priorities.
Work closely with engineering, design, data, quantitative research, risk, compliance, operations, customer support, and commercial teams.
Translate complex trader needs and market concepts into clear product requirements and intuitive user experiences.
Manage technical and commercial trade-offs, dependencies, and delivery risks across multiple teams and product areas.
Communicate product strategy, priorities, and outcomes clearly to senior stakeholders and distributed teams.
Support and mentor other product managers and contribute to the broader trading product strategy
What We Look For In You
5-7+ years of product management experience, with a strong track record of delivering complex user-facing products.
Meaningful experience building professional trading tools, trading terminals, charting or market-data products, execution products, or trading automation solutions.
Relevant experience may come from equities, futures, options, FX, commodities, multi-asset platforms, or crypto. Direct experience at a crypto company is not required.
Strong understanding of electronic trading workflows, including market data, order placement and execution, position management, margin, P&L, and risk controls.
Familiarity with leading professional trading products such as TradingView, 3Commas, Bookmap, ATAS, Quantower, or comparable platforms.
A strong understanding of the needs of active traders and the ability to simplify sophisticated trading workflows without removing essential control or flexibility.
Experience owning the full product lifecycle, including research, strategy, prioritisation, requirements, delivery, launch, measurement, and iteration.
Strong product judgement and the ability to balance customer value, usability, technical complexity, business impact, operational risk, and regulatory requirements.
Demonstrated ability to use qualitative research and quantitative data to make product decisions.
Experience working closely with engineering and design teams on real-time, data-intensive, or high-performance products.
Strong cross-functional leadership and the ability to influence teams and senior stakeholders without relying on formal authority.
Ability to operate independently, manage ambiguity, and deliver results in a fast-moving, remote-friendly environment.
Excellent written and spoken English. English is the working language for meetings, documentation, and daily collaboration.
Nice to Haves
Experience with crypto spot, perpetual futures, options, CEX, DEX, or on-chain trading products.
Hands-on familiarity with professional trading platforms or experience as an active trader.
Experience with advanced trading features, algorithmic execution, trading automation, or exchange connectivity.
Experience building products across web, desktop, and mobile trading environments.
Knowledge of exchange APIs, real-time market-data infrastructure, or broker and exchange integrations.
A technical, quantitative, engineering, economics, finance, or mathematics background.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Onchain Data Team
The Onchain Data team builds the core data and technology infrastructure behind OKX Web3. We connect to diverse blockchain networks and collect, process, govern, interpret, and serve large-scale onchain data, delivering accurate, real-time, and reliable capabilities to Wallet, DEX, Explorer, Risk, CeFi, and AI products.
Our scope includes, but is not limited to:
Multi-chain data ingestion, parsing, computation, and unified data models;
Data capabilities for onchain assets, transactions, addresses, tokens, contracts, and projects;
Blockchain explorers, the Project Marketplace, Onchain Data APIs, bots, and agents;
Labels, risk detection, risk-control data, and security investigation capabilities;
DEX trending rankings, token scoring, and other onchain data products;
Global multi-region deployment, high-availability architecture, performance optimization, and system reliability;
Deep application of AI in engineering, data analysis, risk investigation, and intelligent operations.
You will work on challenges involving heterogeneous chains, large-scale data, real-time computation, high concurrency, high availability, data accuracy, and complex cross-functional collaboration. Your work can directly improve user experience, asset security, and business growth.
What You May Work On
This is a broad hiring track rather than a single fixed role. Your responsibilities will be matched to your strengths, experience, and interests, and may include one or more of the following:
Design, build, and evolve onchain data infrastructure, data services, or business systems, taking ownership of the quality and outcomes of critical modules.
Build multi-chain ingestion, real-time and batch computation, data governance, search, storage, and serving capabilities, continuously improving data accuracy, completeness, and freshness.
Contribute to blockchain explorers, the Project Marketplace, onchain assets, labels, risk control, DEX rankings, token scoring, and related platforms or products.
Identify critical technical and business problems, make sound judgments, design solutions, coordinate resources, drive execution, and review outcomes.
Build highly available, high-performance, scalable global systems, while continuously improving reliability, cost efficiency, delivery efficiency, and user experience.
Use AI tools deeply and explore agents, intelligent investigation, engineering automation, and intelligent operations, turning successful practices into reusable team capabilities.
Collaborate with product, data, security, algorithm, operations, and engineering teams to drive cross-functional initiatives to completion.
What We Value Most
Hunger — Curiosity and Drive
You stay curious about AI, Web3, emerging technologies, and new business domains, and can learn unfamiliar areas quickly.
You do not wait for instructions when facing a problem; you proactively understand the context, identify solutions, and drive execution.
You go beyond completing assigned tasks and continue to ask about outcomes, user value, and opportunities for improvement.
Cognition — Cognitive Ability and Judgment
You can quickly understand complex technical and business problems, build a structured mental model, and identify the core issue and key trade-offs.
When information is incomplete or the situation is uncertain, you can form sound judgments based on facts and logical reasoning.
You can compare the value, cost, risk, and long-term impact of different options, clearly explain your rationale, and turn decisions into executable plans and results.
What We Are Looking For
Strong computer science fundamentals and coding ability in at least one mainstream programming language, such as Java, Go, Python, or C++.
Clear logical thinking and strong problem decomposition skills, with the ability to independently solve complex technical or business problems.
Hands-on experience in one or more of the following areas:
Backend and distributed systems;
Real-time or batch data processing, data platforms, search, and storage;
High-concurrency, high-availability systems, and reliability engineering;
Risk control, security, strategy, or data analysis;
AI agents, LLM applications, or engineering productivity.
A strong sense of ownership and accountability, with the ability to drive initiatives through to measurable outcomes.
Open, direct, and effective communication, with a willingness to solve problems across teams.
Strong learning ability and growth potential. We value solid engineering fundamentals, but do not use mastery of one specific framework or middleware stack as the sole hiring criterion.
Preferred Qualifications
Experience with Web3, public blockchains, onchain data, wallets, DEXs, blockchain explorers, or smart contracts.
Familiarity with one or more blockchain technology models, such as EVM, UTXO, or Move.
Experience with large-scale data processing, stream processing, databases, messaging systems, caching, or search systems.
Experience in fintech, risk control, security, e-commerce, advertising, recommendation systems, or other complex internet businesses.
Proven examples of using AI tools to solve real problems and turning solutions into engineered or scalable capabilities.
Ability to work in English, or experience building global and multi-region systems.
Demonstrated technical judgment, business impact, or zero-to-one ownership in previous projects.
The Kind of Candidate We Hope to Meet
You can clearly explain the most complex problem you have solved, how you formed your judgment, and how you drove the solution to completion.
You have one or more clear strengths. We do not expect experience in every area, but we value meaningful depth or exceptional potential in at least one direction.
You are willing to understand users and business context instead of passively receiving requirements.
You are open to unfamiliar domains and can use AI and team collaboration to close knowledge gaps quickly.
You remain constructive in changing or uncertain environments and can keep moving work forward.
Why Join Us
Build core onchain data infrastructure for OKX Web3, directly supporting global users and multiple strategic businesses.
Work deeply with diverse blockchain technologies, onchain data systems, and real-world Web3 use cases.
Solve challenging engineering problems involving large-scale data, real-time computation, high availability, and global deployment.
Explore the intersection of AI and Onchain Data, applying frontier technologies to data, risk control, products, and engineering workflows.
Own meaningful problem spaces with the autonomy to identify issues, make judgments, and drive outcomes end to end.
Access career opportunities across Mainland China, Hong Kong SAR, and Singapore.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Product, Engineering & Data teams are Voodoo's central tech hub. We build innovative tech products that allow us to stay ahead of the game in the mobile industry.
Part of our focus is to provide a state of the art growth-engine to distribute and scale our apps & games. By joining the team, you will take part in this journey of designing and building long-term products which help our business teams in delivering values to millions of future users!
Some examples of our products include our B2B platform used by hundreds of studios around the world to ideate and test their game prototypes, as well as an automated bidding platform that predicts the full value users will generate using state of the art ML algorithms.
ROLE
As the Product Manager - Advertising Solutions, you will play a crucial role in the growth and success of our direct advertising capabilities. Your primary focus will be to optimize and expand our ad solutions, driving revenue while maintaining a seamless experience for our players and advertisers. You will be responsible for growing our mobile gaming vertical from the end-to-end strategy to the development and execution, collaborating closely with cross-functional teams to ensure we meet our business goals.
Role is based in our Paris headquarters with 1-2 remote days per week possible.
- Drive and own product vision and roadmap, guide feature prioritization and scope, in concert with cross functional teams.
- Develop iteratively, working with our growth and tech teams (Developers, Product Managers and Data Analysts) to ideate, measure impact, and learn from previous releases to inform the roadmap.
- Dig in the technical aspect together with your tech team to understand tradeoffs and make informed design decisions.
- Daily involvement in project development and product delivery (you will be both the product owner and the product manager).
- Analyze and interpret ad solutions performance data to identify trends, opportunities, and areas for improvement.
- Establish and maintain relationships with key external partners, including MMPs, ad exchanges, and mediation platforms.
PROFILE
- Proven experience of 5+ years as a Product Manager, with 3+ years in Adtech.
- Familiar with Bidder, DSP, SSP, ad exchanges, MMPs and ad servers
- Great communicator and a team player, who likes to drive results together.
- A problem-solver by nature – inventive thinker that will provide insightful, innovative solutions to any problem.
- Good tech culture and technical knowledge (you’re familiar with APIs, frontend and backend components) for someone who doesn’t code.
- You are fluent in English, French is a plus
- Interest in gaming.
BENEFITS
- Competitive salary upon experience
- Comprehensive relocation package (including visa support)
- Swile restaurant lunch voucher
- Gymlib sports subscription (100% taken in charge by us)
- Sidecare healthcare coverage for your family
- Child day care facilities (Les Petits Chaperons rouge)
- Wellness activities in our Paris office
- Creative hackathon
- Unlimited vacation policy
- Full stack desk and computer equipment upon your request
- Cooperate within a globally diverse team and a rich cross-cultural work environment
Welcome to
Torrero
- all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide.
If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace.
About the project
We're looking for a senior Python Developer.
Our tech stacks are Python, Django, PostgreSQL, MongoDB, RabbitMQ, and Redis.
Examples of tasks: implementation of regulatory and compliance requirements, integration with government platforms and reporting services, development of KYC and customer verification processes, responsible gambling features, risk management solutions, and other business-critical platform capabilities.
Your expertise to meet the requirement:
Commercial development experience
5+ years
(with hands on coding on your own, even without without AI tools)
Excellent knowledge in Python 3.x and Django
Experience in the design and development of complex highly-loaded systems
Excellent knowledge of general programming issues: design patterns, data structures, and algorithms
Native proficiency or fluent in
Russian language
Upper intermediate or intermediate proficiency in
English language
Will be a plus:
Experience with SQL and NoSQL DBs, and understanding of the key features of each of them
Experience in iGaming, KYC, compliance, or other regulated domains
Your key responsibilities include:
Make architectural decisions for product backend
Implement design, develop backend and write tests
Monitor trouble proof operation of production
Monitor performance, and optimize wherever necessary
We appreciate:
Ability to quickly and efficiently solve tasks
Independence, responsibility, initiative, and keep attention to detail
A flexible and systematic approach to solving complex problems
Right perfectionism
Ability to decompose large tasks
We offer:
Fully remote job - work from anywhere you want
Flexible working hours
Competitive compensation
28 paid days off per year
3 paid sick days a year without medical certificate
Seniority leave
Birthday Day off
Real career opportunities and professional growth
The great team across the world
Hiring Stages:
Introductory Call
Hiring Manager Round
Technical Assignment
Candidate Reference Check
Offer Letter
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
About the role:
As the
SEO Manager (China Market)
, you will be responsible for driving Tickmill's organic growth strategy across Mainland China and Chinese-speaking audiences globally. You will develop and execute localized SEO initiatives tailored to the Chinese digital ecosystem, enhancing our visibility across leading search engines such as Baidu, Sogou, Shenma, and Qihoo 360, while leveraging platforms including WeChat, Zhihu, Toutiao, and Xiaohongshu to strengthen brand authority and generate qualified traffic.
Working closely with Marketing, Content, Development, Product, and Compliance teams, you will optimize website performance, improve organic rankings, identify new growth opportunities, and ensure all SEO activities align with local market requirements and industry regulations.
What does the role look like?
Develop and execute comprehensive SEO strategies tailored for Baidu and other major Chinese search engines to drive organic traffic growth and brand visibility.
Optimize website architecture, metadata, content structure, internal linking, and on-page elements in accordance with Chinese search engine ranking factors and best practices.
Conduct in-depth keyword research focused on Forex, CFDs, trading, and financial services to identify high-intent traffic opportunities.
Collaborate with developers to improve technical SEO performance, including site speed, mobile responsiveness, crawlability, indexing, and compliance with local web requirements.
Partner with the Content team to create and optimize localized educational, trading, and promotional content designed for Chinese-speaking audiences.
Build and maintain a high-quality backlink profile through outreach initiatives, financial portals, local media, industry directories, forums, and PR opportunities.
Leverage platforms such as WeChat, Zhihu, Toutiao, and Xiaohongshu to strengthen organic visibility, audience engagement, and brand authority.
Monitor SEO performance using tools such as Baidu Tongji, Baidu Webmaster Tools, Google Analytics, Ahrefs, Semrush, and other relevant platforms.
Conduct regular competitor analysis to identify market trends, benchmark performance, uncover traffic gaps, and recommend strategic improvements.
Stay up to date with changes in Chinese search engine algorithms, digital marketing trends, and Forex/CFD regulatory requirements to ensure all activities remain compliant and effective.
Prepare regular performance reports and provide actionable recommendations to stakeholders based on SEO insights and business objectives.
Work cross-functionally with Marketing, Product, Content, Development, and Compliance teams to continuously enhance the customer acquisition journey through organic channels.
What do you need to succeed in this role?
Minimum 2 years of hands-on SEO experience with a proven track record of managing successful campaigns targeting the Chinese market.
Strong experience within the Forex, CFD, Fintech, Crypto, Online Trading, or wider Financial Services industry.
Deep understanding of Chinese search engines, particularly Baidu, and familiarity with ranking algorithms and optimization best practices.
Strong expertise in keyword research, technical SEO, on-page optimization, content strategy, and link building.
Hands-on experience using Baidu Webmaster Tools, Baidu Tongji, Ahrefs, Semrush, Dragon Metrics, or similar SEO platforms.
Good understanding of HTML, CSS, JavaScript, website architecture, and search engine crawling and indexing processes.
Ability to analyse large datasets, identify business opportunities, and translate insights into actionable SEO strategies.
Experience working closely with developers, content creators, marketers, and other cross-functional stakeholders.
Strong organizational skills with the ability to manage multiple projects and priorities in a fast-paced environment.
Excellent analytical, communication, presentation, and stakeholder management skills.
Native or bilingual proficiency in Simplified Chinese (written and spoken) and professional proficiency in English.
Will be considered as a plus:
Experience managing SEO strategies for regulated financial services brands targeting Chinese-speaking audiences.
Strong knowledge of ICP requirements, CDN optimization, and website localization best practices for Mainland China.
Experience optimizing content and visibility across WeChat, Zhihu, Xiaohongshu, Toutiao, or other Chinese ecosystem platforms.
Familiarity with Chinese financial regulations and compliance considerations related to Forex and CFD marketing activities.
Experience identifying and scaling alternative organic acquisition channels beyond traditional search engines.
Passion for digital marketing, innovation, and continuous learning within the SEO and trading industries.
What to expect from our recruitment process:
First interview with hiring managers or HR
Second interview with top management
Make your next Career step and apply NOW!
Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: San Francisco, CA
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
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
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
We're looking for a Senior Computer Vision Engineer to join our Embodied AI team, focused on 3D scene understanding and semantics. A reconstructed environment is only useful to a robot once it knows what is in it: which surfaces are floor, which objects can be grasped, moved, or opened, where one room ends and another begins. You'll work hand in hand with our Research Scientists to take advances in open-vocabulary perception, 3D semantic labeling, and scene graph construction and turn them into reliable capabilities that embodied AI teams can use in production.
This is an applied research role. You'll live at the boundary between a research prototype and a production pipeline: adapting methods so they hold up on messy customer captures, lifting 2D semantic signals into geometrically consistent 3D, defining what "semantically correct" means for a downstream policy, and feeding what you learn back into the research agenda. You understand that the difficult part is often not the core method, but the messy inputs, edge cases, operational constraints, and downstream requirements surrounding it. You care about quality, cost, latency, and reliability, and you know that a system is only successful when people can depend on it. This is a hands-on engineering role for someone who wants to build, ship, and own outcomes. You'll help shape both the technology and the product, while remaining close to the code and the problems our customers are trying to solve.
What You'll Do
- Productionize 3D Scene Understanding Capabilities - Turn research prototypes in open-vocabulary segmentation, 3D semantic and instance labeling, affordance prediction, and scene graph construction into reliable pipeline components and services that operate across varied customer data and environments.
- Own End-to-End Output Quality - Ensure that reconstructed environments carry labels, instances, and relationships that are consistent, complete, and correct enough for downstream simulation and policy learning, and define what "correct enough" means for each customer workflow.
- Bridge Research and Production - Work day to day with the Embodied AI Research Scientist: pressure-test new methods on real customer data, identify where they break, and bring production and customer constraints back into research planning to prioritize the advances that matter most.
- Make Systems Robust to the Real World - Diagnose failures caused by capture quality, scene complexity, scale, calibration, coordinate conventions, and other assumptions that prototypes often leave implicit.
- Build Evaluation and Quality Infrastructure - Create datasets, regression tests, quality gates, and benchmarking tools that help the team measure whether changes improve the system.
- Improve Performance, Throughput, and Cost - Profile and optimize GPU and distributed workloads, reduce unnecessary reruns, and help establish the economics of running reconstruction at scale.
- Work Across the Product Boundary - Partner with Embodied AI product and engineering teams to understand customer requirements and deliver capabilities that fit real training, evaluation, and deployment workflows. Help evolve the representations, tooling, and operational systems that allow reconstructed environments to move reliably into customer applications.
What You'll Bring
- 5+ years of computer vision experience and a bachelor's degree or equivalent,
- Significant experience building and operating production computer-vision, machine-learning, graphics, or data-processing systems.
- Deep hands-on experience with scene understanding: semantic, instance, or panoptic segmentation; open-vocabulary detection and segmentation; or vision-language models applied to perception.
- Experience taking 2D perception into 3D, such as multi-view label fusion, 3D semantic segmentation, instance tracking across views, or scene graph construction over reconstructed geometry.
- Experience delivering reliable computer-vision or 3D systems used by other teams or customers, including the evaluation that proved they worked..
- Practical command of 3D and spatial data, including geometry, camera models, coordinate frames, calibration, and metric scale.
- Strong Python and PyTorch skills, with the ability to work in C++ or other performance-oriented environments when needed.
- Experience with cloud infrastructure, GPU workloads, distributed processing, or large-scale data pipelines.
Nice to Have
- Hands-on experience with 3D reconstruction, photogrammetry, structure from motion, Gaussian splatting, neural rendering, or meshing.
- Experience with SLAM, visual positioning, localization, or large-scale mapping systems.
- Experience with robotics, simulation, or embodied AI applications, in particular how semantic labels are consumed by a policy or a simulator.
- Built evaluation or benchmarking infrastructure for perception or reconstruction systems.
- Experience optimizing large-scale GPU inference workloads for cost, throughput, or latency.
- A publication record or contributions to widely used open-source perception codebases.
- Advanced degree in computer vision, robotics, machine learning, or a related field.
Competencies
- Relentless bias for action. You make decisions and ship as if the company’s success depends on it, because it does. You set the pace, and drive the people around you to rise to it.
- Intellectually honest. You know there’s just one job that underpins every other in a startup: find the truth. You are relentless in your pursuit of it, including when it challenges your own convictions, and you raise concerns when you see them — even when it's uncomfortable, and especially when it's unpopular.
- Pragmatic. You have no patience for not-invented-here Syndrome and analysis paralysis. You find the fastest path to a working capability without one-way doors that undermine scaling.
- Strong systems instincts. You understand that production quality includes reliability, observability, cost, latency, maintainability, and usability—not just algorithmic accuracy.
- Comfort with ambiguity. You can make progress when the problem, data, and requirements are still evolving.
Compensation & Benefits
Base salary range of $229,500 to $255,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more.
Location & Work Model
This role is based in our San Francisco 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: London
Workplace: Hybrid
About Niantic Spatial
AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time.
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
Niantic Spatial makes the physical world computable, helping people and machines collaborate safely by aligning how they understand reality. One of the fundamental problems we're helping autonomy teams and engineers overcome is the sim-to-real gap for visual-spatial understanding. We're applying our team's decades of experience encoding the world precisely as it is at Google Maps, Google Earth, and Niantic Labs to build the scalable real-to-sim stack for embodied AI.
Niantic Spatial's R&D Team in London is seeking a Research Scientist to push the frontiers of Spatial AI, advancing our Large Geospatial Model as a dedicated member of the Embodied AI group. You will invent and develop algorithms and systems that sit at the cross-section of computer vision, machine learning, AI, graphics, and robotics.
We're passionate about discovery, so we're looking for scientists who want to learn, publish, teach, and deploy every new invention.
What You'll Do
- Develop New Spatial Representations - Develop new spatial representations that embodied AI can learn from, train in, and act on.
- Advance Real-to-Sim Pipelines - Advance real-to-sim pipelines connecting real-world observations, 3D reconstruction, simulation, and robotic policy learning.
- Solve Emerging Spatial Problems - Solve emerging problems that relate to spatial intelligence, 3D scene representation, training data, model efficiency, and interactive systems.
- Take Capabilities Through to Evidence - Take new capabilities through to evidence: what changed for the policy, not only what changed in the reconstruction.
- Build Prototypes - Build proof of concept prototypes, initially for internal use, where some will need to run at production scale on customer data.
- Collaborate Across Research and Product - Collaborate closely with researchers, engineers, and product partners to bring novel models to production.
- Publish Your Work - Publish and present your work.
What You'll Bring
- A PhD in computer vision, robotics, graphics, machine learning, or a related field, or equivalent research experience, with a publication record at top venues.
- Substantial expertise in robotics or embodied AI, including experience in sim-to-real transfer, domain randomization, policy evaluation, and simulation-based learning.
- Deep experience with 3D scene representations: Gaussian splatting, neural fields, meshes, point clouds, or implicit representations.
- You have applied generative or diffusion models to 3D data, such as scene completion, inpainting, relighting, or novel view synthesis from sparse capture.
- You have worked on 3D semantics, open-vocabulary scene understanding, or scene graphs.
- Proficiency in Python and Deep Learning libraries such as PyTorch.
- GPU or graphics programming experience, such as custom CUDA kernels, shaders, or differentiable rendering.
- A track record of contributing to widely used open-source research codebases.
Nice to Have
- Proficiency in C++.
Compensation & Benefits
Base salary range of £103,500 to £202,500. 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: Lisbon, Portugal
Joom Group is an international tech-centric group of e-commerce companies founded in 2016 in Latvia. We are here to transform the largest industry in the world, global trade, making it more transparent, efficient, and technology-driven.
Today, Joom Group brings together the following businesses: Joom, a global cross-border marketplace; JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group’s offices are located in China, Brazil, Portugal, Latvia, and Germany, with headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses, and products.
We are currently looking for
Lead
Backend Developers
to join the
Joom Marketplace Solutions
.
Joom Marketplace Solutions is a platform that allows Joom to go beyond its own marketplace and offer its solutions to other players in the market. Through technical integration, we give our partners access to millions of products from our sellers and take care of the entire order fulfillment process end to end.
Tech stack:
Go, MongoDB, Kubernetes, Elasticsearch, AWS, Redis, Jenkins.Frontend: Node.js, React, TypeScript, Rush
Responsibilities
Come up with architecture
Program in Go
(Go is not a must for us; it is more important for a successful candidate to have solid algorithm skills, fundamental technical knowledge, and great coding skills in general)
Provide fault tolerance for coded services in an AWS environment
Be prepared for a constant increase of processed and stored data loads and volumes
Participate in new feature and product development discussions
Managing and mentoring a backend team of 3–6 developers
Requirements
Experience in leading and developing a backend team by recruiting, hiring, and training new team members
Confident knowledge of any of the programming languages: Go/Java/Kotlin/C++/Python/Scala
Complex project development experience
Excellent algorithmic training
Experience in development for Linux / Unix
Preferred
Experience with highload
Experience with MongoDB
Experience with Kubernetes
We offer
Compensation package: base salary and performance-based bonuses
Office-first: flexible hours with a possibility to work remotely 52 days per year
Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
Relocation Support: full assistance for a smooth relocation for the employees and their family
AI-first approach: licenses and access to a wide range of AI tools
Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses
Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work
Before applying for the above position please review our Candidate Privacy Notice
here
. By responding to the vacancy, you acknowledge that you have read our Privacy notice.
Location: Berlin
Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
- Relentlessly push search quality forward — through models, data, tools, or any other leverage available
- Architect and build core components of the search platform and model stack
- Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models
- Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval
- Deploy models — from boosting algorithms to LLMs — in a scalable and performant way
- Build and optimize RAG pipelines for grounding and answer generation
- Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery
Qualifications
- Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
- Proven track record with large-scale search or recommender systems
- Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models
- Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications
- Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR)
- Self-driven, with a strong sense of ownership and execution
- Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas
Location: Metn, Lebanon
About Toters
Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience.
At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now.
The Role
As a Senior Analytics Engineer, you will act as the crucial bridge between Data Engineering and Data Analytics. In a fast-paced, high-volume transactional environment like ours, clean, reliable, and scalable data is everything. You will bring software engineering best practices to our analytics workflows, taking ownership of our data warehouse architecture, building robust data models, and designing the ELT pipelines that empower our analysts, data scientists, and business leaders to make high-impact decisions.
What You’ll Do
Advanced Data Modeling:
Design, build, and maintain highly scalable and modular data models using
dbt
(data build tool) within our cloud data warehouse (e.g., BigQuery, Snowflake, or Databricks), turning raw data into a reliable "single source of truth."
Pipeline Optimization:
Architect and optimize ELT pipelines to integrate complex, high-volume datasets across our 3-sided marketplace (app clickstreams, operational logistics, merchant catalogs, and financial transactions).
Engineering Best Practices:
Champion and enforce software engineering practices within the data team, including version control (Git), CI/CD pipelines, code reviews, and writing DRY (Don't Repeat Yourself) code.
Data Quality & Governance:
Implement rigorous automated testing, alerting, and anomaly detection to guarantee data integrity and build trust with downstream stakeholders.
Self-Serve Enablement:
Design intuitive semantic layers and heavily documented data marts that empower Product Analysts and Business operators to independently explore data without writing complex SQL.
Performance & Cost Optimization:
Audit and optimize legacy queries, streamline warehouse compute resources, and ensure BI tools (Tableau) run with minimal latency.
Mentorship:
Elevate the technical baseline of the entire Data Analytics team by teaching advanced SQL, dbt modeling techniques, and performance-tuning strategies.
What We’re Looking For
Experience:
4+ years of experience in Analytics Engineering, Data Engineering, or a highly technical Data Analytics role, ideally within a high-growth tech company, delivery platform, or multi-sided marketplace.
SQL & dbt Mastery:
Unmatched proficiency in writing complex, highly performant SQL. Extensive, hands-on experience building production-grade environments in
dbt
(including Jinja, macros, and incremental logic).
Cloud Data Warehousing:
Deep conceptual and practical understanding of modern columnar data warehouses (Snowflake, BigQuery, or Databricks) and architecture best practices.
Software Engineering Mindset:
Fluent in Git workflows, command-line interfaces, and setting up CI/CD workflows for data deployments.
Programming Skills:
Strong proficiency in
Python
for API integrations, custom transformations, or pipeline scripting.
Business Acumen:
Demonstrated ability to translate complex operational logic (e.g., courier dispatch algorithms, funnel attribution, financial reconciliation) into elegant data architecture.
Nice to Have
Hands-on experience with modern data orchestration tools (Apache Airflow, Dagster, or Prefect).
Experience managing event-tracking pipelines (Snowplow, Segment, Amplitude).
Previous experience managing the semantic layer in BI platforms like Tableau.
УдалённоBelgrade; Tbilisi; Madrid; Lisbon; Poland; Valencia; Riga; Tallinn; Zagreb; From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ГибридWarsaw; Barcelona; Amsterdam; From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market
Singapore; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридseniorBerlin; 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team
Remote Roles - EMEA
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
ГибридseniorParis; Comprehensive relocation package (including visa support)
seniorГеография найма не уточнена
География найма не уточнена
ГибридseniorSan Francisco, CA
ГибридLondon
leadLisbon, Portugal; Relocation Support: full assistance for a smooth relocation for the employees and their family
seniorГеография найма не уточнена
seniorГеография найма не уточнена
Все вакансии в одном месте - страница 8 · Job Hunters
