Задачи:
— анализ банковских и крипто-транзакций для выявления мошенничества и AML-сценариев
— разработка и улучшение ML-моделей для fraud detection
— graph analysis / Graph ML (GNN, node embeddings, link prediction)
— вывод моделей в production
Требования:
— опыт работы с transactional fraud / AML от 5 лет
— strong Python + ML stack (PyTorch / TensorFlow)
— опыт с Graph ML / Neo4j / NetworkX / GNN
— production ML и ETL pipelines
Будет плюсом:
— MLOps
— ClickHouse / Elasticsearch / Cassandra
— опыт с real-time systems и асинхронным Python
Условия:
— релокация (Узбекистан / Дубай / ЕС) или B2B outside РФ/РБ/Украины
— зарплата в валюте
— relocation package
— международная русскоговорящая команда
— сложные ML/AI задачи и сильная technical culture
О ПРОЕКТЕ
Команда занимается развитием внутренней AI/ML-платформы, AutoML, разработкой LLM/NLP-решений, мониторингом качества моделей на крупном финтех-проекте.
ПРЕДСТОЯЩИЕ ЗАДАЧИ
• Разработка и развитие ML/LLM-сценариев для production;
• Работа с AutoML, NLP и RAG-пайплайнами;
• Оптимизация качества и стабильности ML-решений;
• Интеграция с MLOps/DE-инфраструктурой;
• Быстрое прототипирование и проектирование AI-решений.
ОЖИДАНИЯ ОТ КАНДИДАТА
• 3+ лет опыта в DS/ML;
• Хороший Python и уверенный ML-стек (Sklearn, CatBoost/LightGBM/XGBoost, Pandas, NumPy), опыт с табличными данными;
• Опыт с LLM/NLP (для проекта в данном направлении);
• Опыт работы с Spark/Hadoop/Hive;
• Понимание production ML-процессов.
БУДЕТ ПЛЮСОМ
• PyTorch / DL;
• Open-source contribution;
• Full-stack опыт.
УСЛОВИЯ РАБОТЫ
• Оформление по ТК или ИП в аккредитованную ИТ-компанию;
• Сильная инженерная команда и обмен экспертизой;
• Гибридный или удаленный формат работы (РФ!);
• ДМС со стоматологией с 1-го дня;
• Предоставление техники (на выбор, по запросу).
Location: Colombia; Brazil; Argentina
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
What you will do
- Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
- Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
- Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.
- Contribute to analytical planning and ensure alignment with overall business objectives.
- Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
- Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.
What you bring
- Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing).
- Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation.
- Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
- Experience leading or mentoring analytics teams and coordinating with business stakeholders.
- Excellent communication skills, able to translate between technical and business perspectives effectively.
- Solid understanding of business processes and data structures.
- Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value.
- Fluency in English for meetings with international clients.
Nice to have
- Hands-on experience with deep learning, computer vision, or generative AI projects.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
- Experience with data visualization or BI tools for communicating insights.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Задачи:
— Улучшать стабильность и качество текущих AutoML алгоритмов, оптимизировать код;
— Разрабатывать новые сценарии платформы для аналитиков (поиск аномалий, очистка данных, кластеризация, анализ дрейфа данных/концепта);
— Улучшать отчетность и артефакты по полученной модели (отчёт по модели с интерпретацией LLM, графики, таблицы);
— Обновлять документацию и технические инструкции по сценариям платформы;
— Взаимодействовать по внедрению новых сценариев и фич платформы с MLOps командой;
— Проводить анализ потребностей аналитиков, формализовать их в сценарии;
— Поддерживать пользователей (аналитиков);
— Отвечать за релизный цикл библиотеки;
— Проводить ревью PR от других DS.
Требования:
— Опыт в Data Science от 3 до 5 лет (важна насмотренность к кейсам и разным моделям, опыт промышленной разработки);
— Уверенное владение ML- и DL-стеком Python: PyTorch, LightGBM / XGBoost / CatBoost, Scikit-Learn, Pandas, NumPy;
— Умение работать с инструментами: Spark, Hadoop, Hive, MLflow, Airflow / Argo Workflows;
— Обязателен опыт в табличных данных и классическом ML (градиентный бустинг, логистическая регрессия, кластеризация);
— Будет большим плюсом: Контрибьют в ML-библиотеки; Опыт full-stack разработки;
— Не подходят кандидаты с чистой карьерой в CV / NLP / LLM без серьёзного бэкграунда в таблицах.
Условия:
— Работа в аккредитованной IT компании;
— Формат работы: удалённый по РФ (или гибрид — на выбор);
— Расширенный ДМС (со стоматологией);
— Выдача необходимой для работы техники (ноутбук);
— Возможность воспользоваться реферальной программой: «Приведи товарища»;
— Участие в Бонусной программе;
— Помощь с ипотекой и другими пособиями;
— Возможность построить карьеру в рамках ведущих компаний России.
Location: United States; Canada (BC & ON only)
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
Without ever sacrificing craft or quality helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact.
ABOUT THE ROLE:
- Location: Remote-first (United States; BC & ON, Canada)
- Full-time
- Permanent
- Exempt
- Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.
- United States (all figures cited below in USD and pertain to workers in the United States)
- Zone A: 232,000 - 290,000
- Zone B: 217,600 - 272,000
- Zone C: 204,800 - 256,000
- Canada (All figures cited below in CAD and pertain to workers in ON & BC, Canada)
- 253,000 - 316,000
Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Director, Engineering
As a Senior Staff Machine Learning Scientist, you’ll:
- Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation.
- Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning.
- Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences.
- Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks.
- Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems.
- Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI.
- Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team.
- Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems.
ABOUT YOU:
Requirements:
- BA/BS degree or equivalent experience
You’ll thrive as a Senior Staff Machine Learning Scientist if you:
- Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training.
- Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred.
- 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning.
- Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models.
- Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances.
- Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code.
- Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow.
- Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization.
- Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Задачи:
— Участие в разработке и деплое ML/LLM решений.
— Применение Prompt Engineering и методов Fine-tuning/PEFT.
— Построение RAG пайплайнов и работа с векторными базами данных.
— Оптимизация производительности LLM и оценка их качества.
— Разработка с использованием мультимодальных моделей.
Требования:
— Уверенное владение Python.
— Опыт деплоя ML/LLM решений с использованием Docker, Kubernetes, облачных платформ AWS, GCP, Azure.
— Опыт работы с Prompt Engineering (few-shot, chain-of-thought, ReAct).
— Знание Fine-tuning / PEFT (LoRA, QLoRA, adapters).
— Опыт построения RAG пайплайнов (chunking → embedding → retrieval → генерация).
— Умение работать с векторными базами данных (Qdrant, Pinecone, Milvus, FAISS).
— Опыт RLHF или работы с синтетическими данными (предпочтения, генерация и фильтрация).
— Знание фреймворков LangChain, LlamaIndex, Hugging Face.
— Опыт оценки LLM (BLEU, ROUGE, MMLU, кастомные эвалы).
— Опыт оптимизации инференса (vLLM, TensorRT, ONNX).
— Опыт работы с мультимодальными моделями (LLaVA, GPT-4V, Qwen-VL).
— Грейд Middle/Middle+.
Условия:
— Полная занятость.
— Удалённый формат работы.
— Интересные проекты в области ИИ.
Location: United States; Canada
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most curious people to help us do it. As a Lead Data Scientist on our Analytics and Data Insights team, you'll tackle problems that don't have textbook answers yet; shaping go-to-market strategy for technology that's still being invented, designing the experiments that prove or kill our biggest bets, and helping enterprises understand what foundational AI actually means for their bottom line. You'll own the full analytical lifecycle, from framing the right questions and building the models, to leading a team that delivers answers leadership can act on.
As a Lead Data Scientist, you will:
- Drive the mission forward.
- Own the science: design and lead experimentation programs including A/B tests, multi-armed bandits, causal inference studies, that directly map to product and go-to-market decisions.
- Build predictive models that matter: develop and deploy models for forecasting, segmentation, propensity scoring, and opportunity sizing across Cohere's core business lines.
- Lead and grow a team: manage a team of analysts and data scientists. Set the technical bar, mentor aggressively, and create an environment where exceptional people do their best work.
- Act like an owner: no waiting around. You'll define analytical priorities, allocate resources, and push initiatives from question to production.
- Shape strategy: partner across product, research, sales, and finance to define how Cohere grows. Your team's work will get built into products and implemented into strategy.
You may be a good fit, if you have:
- Strong command of SQL, Python, and Git, alongside deep expertise in statistical inference, experimental design, and predictive modeling
- A proven ability to turn ambiguous business questions into rigorous analytical problems, with clear and compelling recommendations to match
- Experience leading analytics or data science teams, with a track record of making smart people faster
- Familiarity with modern data stack tools such as BigQuery, dbt, Looker, or Airflow (nice to have, not essential)
- Genuine excitement about AI - you follow the research, have opinions, and enjoy being in the weeds
- Comfort operating in ambiguity, managing complex multi-workstream roadmaps, and distilling insights into a concise, actionable narrative
- A leadership style grounded in empathy as much as in data
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.
A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion.
We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
RESPONSIBILITIES
- Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs.
- Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models).
- Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda.
- Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence.
- Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems.
- Mentor junior researchers and shape the technical direction of the research organization as it grows.
PREFERRED QUALIFICATIONS
- Master’s or PhD research depth in machine learning, with first-author publications at top venues
- Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work
- Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built
- Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years
- Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology)
- Track record of open-source contributions or community building in ML research
OUR VIEW ON TALENT
Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat.
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: 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.
About the Opportunity:
The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
What You’ll Be Doing
:
Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations.
Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
Development of machine learning models
Partner with product and engineering team in implementing features and models, and enhancing systems
What We Look For In You:
Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
4+ years of
fraud analytics experience
in financial services or FinTechs
Crypto/Blockchain experience
Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Successful track record of owning and driving large, complex data analysis projects.
Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
Experience in a fast-paced startup environment with a strong level of initiative; and
Ability and willingness to travel as needed.
Strong communicator in both writing and speaking
Multi-tasking and strong project management skills
Nice to Haves:
Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and
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!
#LI-ONSITE
#LI-WWW
#LI-HYBRID
#LI-ED1
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: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We’re looking for applied scientists with a Machine Learning and Artificial Intelligence background to build AI technologies and make Figma products more magical.. You will be driving fundamental and applied research in this area. You will be combining industry best practices and a first-principles approach to design and build AI/ML models and systems to improve Figma’s products.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
You will be driving fundamental and applied research in AI. You will explore the boundaries of what is possible with the current technology set to build best in class models for Figma’s domains
You will be combining industry best practices and a first-principles approach to build cutting edge Generative AI models, using techniques like Supervised Finetuning (SFT), Reinforcement Learning (RL), prompt improvements and synthetic data generation
Work in concert with product and infrastructure engineers to improve Figma’s products through AI powered features
Collaborate closely with product managers and engineers to transform user feedback into requirements for AI systems
Build evaluation systems to measure and improve quality of AI features in Figma products
We'd love to hear from you if you have:
Extensive experience in building generative AI features through prompt engineering, and fine tuning models in production environments
Experience working on deep learning and generative AI frameworks like PyTorch, JAX, HuggingFace etc
Experience training LLMs with Reinforcement Learning techniques such as preference-based RL (DPO, PPO) and/or RL with verifiable rewards (RLVR) such as GRPO/DAPO. Experience with RL from execution feedback for Coding, and RL with non-verifiable rewards will be a plus
4+ years in Generative AI, and 6+ years of experience in one or more of the following areas: machine learning, natural language processing/understanding, computer vision
Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R)
Experience communicating and working across functions to drive solutions
While not required, It’s an added plus if you also have:
Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision
Experience in mentoring/influencing senior engineers across organizations
Expertise working on large scale and distributed AI training
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$153,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Jose, California, United States
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:
The Sr Data Scientist, Risk will offer a strategic perspective, deep analytical and modeling capabilities, and a collaborative working style. The right candidate will have strong intellectual curiosity and passion for achieving business results.
An ability to quickly define the problem, research and leverage state-of-the-art modeling techniques, and provide timely recommendations will be essential. Key skills will include a strong analytical mindset, deep understanding of most popular machine learning algorithms and lead key initiatives with integrity and a passion for investigations, problem solving, and troubleshooting.
What You’ll Be Doing
:
Identify complex fraud patterns and their technical root causes through detailed data mining and analysis, including identification of sophisticated fraud methods employed by actors who are deliberately trying to avoid detection.
Serve as technical SME by sharing new data mining techniques, maintaining technical reference documentation, and interfacing with partner technology teams.
Collaborate across business and technology stakeholders to communicate analytical findings to both technical and non-technical audiences.
Provide technical guidance for engineering projects that incorporate new data points into the investigation team’s toolkit, such as API integrations or internal data transformations.
Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies
Development of machine learning models
Partner with product and engineering team in implementing features and models, and enhancing systems
What We Look For In You:
Master’s degree (or PhD) in Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering or other quantitative discipline. Bachelor’s degree with significant relevant experience will be considered.
4+ years of
fraud analytics experience
in financial services or FinTechs
Crypto/Blockchain experience
Deep understanding of modern machine learning techniques / algorithms including GBM, XGBoost, LGBM, etc. Advanced programming skills of statistical / analytical software (SQL, R, Python,etc.);
Successful track record of owning and driving large, complex data analysis projects.
Demonstrated capacity for innovation and outside-the-box thinking in the creation of new capabilities and processes that are unstructured or exploratory in nature.
Experience in a fast-paced startup environment with a strong level of initiative; and
Ability and willingness to travel as needed.
Strong communicator in both writing and speaking
Multi-tasking and strong project management skills
Nice to Haves:
Hands-on experience/knowledge of modeling in machine learning (GBM, XGBoost, Random Forest, etc.); and
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!
OKX Statement:
The
salary
range for this position is $223,661.00 to $268,333.00
. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
#LI-HYBRID
#LI-ED1
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: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
Replit spreads through companies differently than it does through individuals. One person builds an app, colleagues start using it, a team forms, an admin rolls Replit out more widely, and eventually Sales gets involved. You'll be the data scientist for Replit's enterprise business, covering both the product and the go-to-market motion: how Replit spreads inside organizations, what keeps teams engaged after rollout, which features and signals drive expansion, and how all of that becomes pipeline, revenue, and a reliable forecast.
Experimentation is hard here. There are far fewer accounts than users, people within an organization influence each other, and admins control what their teams see. You'll figure out how to learn quickly and rigorously anyway. You'll work with Enterprise Product, Engineering, Sales, Customer Success, RevOps, and Finance, and your work succeeds when it changes a product, GTM, or investment decision.
YOU WILL:
- Define how we measure the enterprise business end to end: account-level activation, breadth (share of seats active), depth (apps built, deployed, and shared), collaboration, consumption, and net revenue retention
- Understand virality inside organizations: how Replit spreads from a first builder to teams through app sharing, invites, and viewers who become builders; quantify within-account network effects and find the levers that accelerate them
- Explain post-engagement churn: why seats and accounts that engaged at rollout go dormant, separate seat-level decay from account-level risk, and turn it into account health models that give the product and Customer Success early warning and a clear next action
- Identify the product behaviors and features that precede seat expansion and plan upgrades, and use them to build product-qualified account (PQA) models that route bottoms-up usage to Sales at the right moment
- Measure adoption and value for enterprise features — admin and governance controls, security, data connectors, collaboration, and deploying to data platforms — and use it to inform what we build next
- Design experiments for enterprise: account- and cluster-level randomization, interference within organizations, small samples and heavy-tailed account sizes, stratified and matched-pair designs, staged rollouts and long-running holdouts, synthetic control, and Bayesian or hierarchical models where data is sparse
- Measure the incremental impact of GTM programs — pilots, onboarding, enablement, and sales-assist — with the same rigor as product launches
- Own enterprise forecasting for pipeline, bookings, consumption, and expansion, and pressure-test the assumptions behind capacity and quota plans
- Analyze pricing and packaging: seats vs. consumption, and how contract structure shapes usage
- Build a trusted enterprise data layer that joins product telemetry, CRM, and billing data and models the org, workspace, team, and seat hierarchy, so Product, Sales, and leadership can self-serve — increasingly through AI agents rather than static dashboards
- Bring a point of view to the enterprise roadmap and GTM strategy before you're asked
REQUIRED SKILLS AND EXPERIENCE
- 6+ years in product or GTM data science, with significant experience on B2B, collaboration, or multi-seat products
- Hands-on experimentation where the unit of randomization differs from the unit of analysis: cluster randomization, interference, and small-sample designs
- Strong retention and survival modeling, cohort analysis, and segmentation at both user and account level
- Experience defining adoption, retention, and revenue metrics (activation, NRR, GRR, expansion) and getting the company to agree on them
- Built scoring or forecasting models that Sales, Customer Success, or Finance actually used
- Expert SQL, including messy CRM, billing, and product data joined at the account level; strong Python; comfortable building your own datasets in dbt
- A track record of analysis that changed a product roadmap or GTM decision, and the confidence to push back on an attractive story when the evidence doesn't support it
- Heavy, practical use of AI tools to move faster in your own work
PREFERRED QUALIFICATIONS
- Experience at a company that grew from bottoms-up adoption into enterprise sales (collaboration, productivity, or developer tools)
- Consumption- or usage-based revenue models and PLG-to-sales motions (PQLs/PQAs, sales-assist)
- Virality, network, or graph analysis of collaboration data
- Fluency with Salesforce data and RevOps tooling
- Modern data stack: BigQuery, dbt, Hex
BONUS POINTS
- Experience with enterprise admin, security, or governance product surfaces
- Built AI agents for GTM teams (account research, deal reviews, QBR prep)
- Early member of an enterprise or GTM data function
This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Poland; Ukraine; Georgia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
What you will do
- Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking.
- Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions.
- Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences.
- Contribute to analytical planning and ensure alignment with overall business objectives.
- Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value.
- Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives.
What you bring
- Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing).
- Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation.
- Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch).
- Experience leading or mentoring analytics teams and coordinating with business stakeholders.
- Excellent communication skills, able to translate between technical and business perspectives effectively.
- Solid understanding of business processes and data structures.
- Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value.
- Fluency in English for meetings with international clients.
Nice to have
- Hands-on experience with deep learning, computer vision, or generative AI projects.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
- Experience with data visualization or BI tools for communicating insights.
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: Toronto; San Francisco; Canada; Seattle; London; United States; New York
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Role Overview:
Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new evaluation techniques that accurately reflect what models are already capable of, as well as set the agenda for what future models should be capable of. In this role, you are responsible for creating these next-generation evaluation methods and infrastructure to measure LLM progress.
Key Responsibilities:
- Create ambitious new evaluation benchmarks that push the limits of what our models can accomplish.
- Work on highly cross-functional teams to translate model feedback into trustworthy, repeatable evaluations.
- Conduct research to advance the state-of-the-art in LLM evaluation methods, including training LLM judges; refining LLM-based data synthesis pipelines; and improving evaluation efficiency.
- Build scalable and reusable tools for digging into model performance.
Qualifications:
- You enjoy rapidly building prototypes that demonstrate the boundaries of what LLMs are capable of, and you have developed resources to measure those capabilities.
- You have spent dozens of hours reviewing complex data and LLM outputs to ensure high data quality.
- You are obsessive about rigorously measuring AI capabilities, and also about making sure your measurements actually align with the capabilities you care about.
- You have strong software engineering skills.
Working Location:
This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Home based - EMEA
As a pioneer remote-first tech company with a product that inspires people globally, we attract a huge number of applicants to our organisation. We have created a hiring process that is totally unique empowering our business based Hiring Leadership team to lead talent selection. Our Talent Science team ensures that our processes are effective and that the business is able to make the best decisions to select exceptional talent. This is an exceptional opportunity to join a team that is changing the way an organisation hires.
We have a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with a carefully selected hiring cohort to ensure we have exceptional judgement with a hiring model that supports the selection of world class talent, regardless of location, culture or background. We drive initiatives, build automations and offer an expert viewpoint on assessing talent.
We are looking to advance our graduate hiring strategy to ensure we can reach and assess world class junior talent. The role will focus on building strong partnerships with top ranked universities across the globe. The suitable individual will bring experience of leading graduate hiring on a regional or global scale within the technology industry. You will possess a strong academic track record with the ability to analyse data, assess performance outcomes and build dashboard to monitor your outcomes. This is not a recruiter position; it's about the science of talent and performance, raising awareness and insights across the business so that they are able to select the best talent available from our global talent pool.
Location: This is a remote position based in the EMEA region
What your day will look like
Build effective partnerships with leading academic institutions to raise awareness of our graduate opportunities.
Create a highly effective proposition to inspire top talent to apply to Canonical.
Drive talent analytics to provide our business with real-time insight, partnering with the business to help them move through their hiring processes efficiently.
Conduct in-depth behavioural talent interviews providing considerable insights into motivations and behaviours.
Build key relationships with global stakeholders to ensure we deliver against our hiring agenda, closely monitoring hiring activities, driving results and ensuring that there is consistency in our operational processes.
Drive data driven insights, making sure our decision making process is robust and supportive to inform our decisions.
Consider our employer brand and how our interactions with a candidate impacts their experience.
Review and streamline hiring processes and tools to drive continuous improvement.
Work with external third parties and platforms to ensure we maximise our return on investment.
Bring a passion for diversity and inclusion, ensuring we remove unconscious bias from our hiring process and ensuring our sourcing strategy underpins this.
What we are looking for in you
An exceptional academic background from both high school and university, with a Bachelors or Masters degree in a Psychology or People based subject.
Experience of hiring talent in the technology industry, with an informed view point on graduate hiring essential.
A highly data drive mindset with the ability to create measurable outcomes, using SQL.
Passionate about how an organisation selects talent using scientific approaches with viewpoint on how to predict and measure hiring outcomes.
Exposure/appreciation of psychometric assessments preferable, including interpretation.
Experience of conducting behavioural, competency based interviews with the ability to train stakeholders and advise on how to get the best out of an interview.
Experience of the following tools advantageous: Greenhouse, LinkedIn, Superset, Thomas International/DISC assessments.
A high level of personal organisation and self drive to work remotely and be effective.
Willingness to travel to company events 2-4 times a year, for up to two weeks each.
What we offer you
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, including lounge access, for company travel
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
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 Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry.
Within the Data team, you’ll join the BI/Prediction Team which is an autonomous squad of around 10 people. The team is composed of top-tier product managers, software & data engineers, data scientists and data analysts.
ROLE
The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction.
We want to onboard a passionate senior data scientist with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success.
This position is hybrid and requires 3 days per week in the office based in Paris.
- Take ownership of our products modeling pipelines
- Contribute to high modeling performance through insightful ideas and initiatives.
- Build and deploy quickly scalable ML systems.
- Engage with colleagues across the company to leverage new ideas and perspectives and demonstrate excellent communication to efficiently cooperate with product managers, teammates and stakeholders.
- Deep dive into data to discover relevant insights.
- Build a rich understanding of the mobile gaming industry, the company strategy, our products and their fit within the company’s daily operations.
- Mentor and guide a team of data scientists, fostering technical excellence and autonomy.
- Establish and enforce best practices in ML engineering, experimentation, and reproducibility across projects.
- Champion a culture of impact-driven research, ensuring models not only perform well technically but also create tangible business value.
- Proactively identify risks in modeling approaches, data quality, scalability, business alignment and design mitigation strategies.
PROFILE
- Extensive experience building machine learning systems
- Extensive experience with Python, SQL and MLOps best practices
- Cloud experience needed (ideally AWS but could be another cloud provider)
- Airflow and DBT experience is a nice to have
- Excellent Communication in English and French mandatory
- You enjoy working in a team, learning new things, sharing knowledge
- Experience in a tech startup/scaleup is a plus
- Strong achievements on Kaggle will be valued
BENEFITS
- Competitive salary
- Comprehensive relocation package (including visa support)
- Premium healthcare (SideCare) for you and your family 100% borne by Voodoo
- Swile Lunch voucher
- Gymlib (100% borne by Voodoo)
- Wellness activities in our Paris office
- Unlimited vacation policy
- Remote days
- Child daycare facilities (Les Petits Chaperons rouges)
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business.
Figma is uniquely positioned to harness advances in AI while keeping people at the heart of creative product development. As part of our Data Science team, you'll help address the most pressing challenges emerging from AI-driven development, shape next-generation data science workflows, and build AI-powered tools used by millions of product teams around the world.
The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You'll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling.
This is a full-time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions
Build models and analytical frameworks to support product, marketing, platform, or finance initiatives
Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously
Own complex data projects end-to-end, from framing the business question through to shipping a solution stakeholders act on
Champion data quality, accessibility, and the democratization of data across the organization
Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
We'd love to hear from you if you have:
4+ years of experience in Analytics, Data Science, or a related field
Fluency in SQL and proficiency in a scripting language like Python or R, along with experience working with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)
Strong foundation in statistical methods, experimentation, and/or forecasting
A track record of working cross-functionally and communicating effectively with both technical and non-technical partners
Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams
While it's not required, it's an added plus if you also have:
Comfortable defining your own priorities and adapting quickly as priorities shift
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$140,000
—
$348,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
Our Talent Science team has a mission to ensure that we follow objective, scientifically rigorous and efficient processes to select the very best new colleagues regardless of location, culture or background. We work closely with our key stakeholders to ensure that decisions are being made in the right way and that our hiring model supports the selection of world class talent. We lead an effective hiring ecosystem to deliver talent acquisition excellence. We leverage data to enable evidence-based decisions, weaving behavioural science through our selection process, working closely with our Hiring Leadership team who drive hiring at Canonical.
We are looking for exceptional people to join our team at the entry level. You will possess a psychology based degree with an exceptional academic track record from high school. You will also bring some relevant experience from the field of talent, from either university coursework relating to talent selection or from an internship or first job in a talent team. In this role you will learn how to implement hiring strategies that result in high performance outcomes of our people and contribute to leading our talent agenda.
The suitable candidate will bring an analytical mindset with a high level of curiosity to integrate data to draw insights and outcomes using SQL or Python. You will have the ability to prioritise and deliver work in a fast paced environment with a good level of self motivation and drive to operate in our remote based environment. With a keen interest in the assessment of talent you will demonstrate a passion for understanding human decisions and behaviours. Great communication skills are also key to this role as you will be working closely with senior stakeholders to ensure they stay on track with their hiring targets. Finally, we would like you to bring a passion and interest for technology platforms and automations to help us drive efficiencies in our processes.
Location:
These are remote based positions that are available in the EMEA region.
The role entails
Learning how to assess candidates using behavioural interview techniques.
Gaining a deep appreciation of the use of psychometrics in the workplace.
Working on process and documentation efficiencies that fuel our hiring practices.
Contributing to projects that drive successful hiring outcomes, many of which require advanced analytics skills to integrate data to draw insights.
Building excellent stakeholder relationships to help design and implement solutions to complex problems that ultimately ensure we hire exceptional talent.
Gaining a deep understanding of our systems and platforms to problem solve and support on hiring questions.
Being at the forefront of ticket support and company channel questions, helping to solve issues as you gain a deep understanding of our processes.
What we are looking for in you
Exceptional academic track record from both high school and university, with an undergraduate degree in a psychology or people based subject.
Advanced analytical ability to dissect and analyse data using SQL, with Python and/or advanced statistical analysis advantageous.
Exposure to the topic of talent through university degree coursework, a relevant internship or first job.
A passion for working in the technology space with evidence as to why.
Results driven with the ability to work at pace, with strong project management skills to roadmap, plan and deliver objectives working with the team.
Professional written and spoken English with excellent presentation skills.
Drive, ambitious and curiosity to own breakthroughs in the talent field.
Ability to travel internationally 2-4 times a year, for company events, occasionally for two weeks.
Nice-to-have skills
Advanced theory of psychometrics
A deep understanding of the topic of intrinsic motivation
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
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УдалённоseniorColombia; Brazil; Argentina
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