Задачи:
— Разработка экосистемы сервисов на базе ИИ для автоматизированного анализа контента и аудитории в мессенджерах.
— Реализация RAG/LoRA и open source LLM для обработки TG-контента, семантического анализа, предсказаний, генерации контента и ИИ-отчетов.
— Закрытие задач по подготовке данных, дообучению моделей и их эффективному развертыванию на собственных мощностях.
Требования:
— Практический опыт работы с bare-metal серверами и видеокартами Nvidia. Умение конфигурировать CUDA, драйверы, мониторить утилизацию памяти VRAM и решать проблемы OOM.
— Способность самостоятельно «под ключ» развернуть open-source модель на собственном сервере - от настройки окружения до оптимизации инференса.
— Глубокие знания и коммерческий опыт дообучения LLM (Llama, Mistral, Qwen и др.) с использованием LoRA / QLoRA / PEFT на доменных данных.
— Экспертные знания пайплайнов Retrieval-Augmented Generation. Опыт интеграции и настройки векторных баз данных (PGVector, FAISS).
— Свободное владение Docker и Docker Compose для локальной сборки и деплоя ML-сервисов.
— Опыт работы с фреймворками высокопроизводительного инференса (vLLM, TGI, ONNX Runtime).
— Уверенный Python (FastAPI, Pydantic), асинхронное программирование (asyncio, aiohttp) и батчинг запросов для минимизации latency.
— Векторизация текста (Sentence Transformers), работа с большими массивами текстовых данных, интеграция с Postgres и Redis.
Условия:
— Стабильный доход: конкурентоспособная заработная плата. Выплаты 2 раза в месяц по 50% или 1 раз в месяц (согласовывается с сотрудником).
— Гибкий формат: график 5;2. На старте (первые 2 месяца) - работа в офисе, далее возможен переход на гибридный формат.
— Профессиональную среду: мотивированная команда, отсутствие бюрократии, возможность напрямую влиять на архитектуру ИИ-сервисов.
— Реальные возможности для профессионального роста и обучения.
Задачи:
- Интегрировать LLM в продукты и сервисы (API, backend, пайплайны обработки данных);
- Разрабатывать и оптимизировать prompt’ы, CoT, системные инструкции;
- Оценивать качество ответов (метрики + human eval);
- Настраивать guardrails: безопасность, фильтрация, соответствие требованиям;
- Строить RAG-системы: индексация данных; работа с векторными БД; оптимизация поиска и генерации;
- Оптимизировать инференс (стоимость, latency, batching, caching, квантизация);
- Участвовать в архитектурных решениях вместе с продуктовой и ML-командой;
- Исследовать и внедрять новые подходы и модели;
- При необходимости: работать с мультимодальными моделями (текст, изображения, документы).
Требования:
- Уверенный Python;
- Опыт работы с LLM в проде (не только pet-проекты);
- Понимание prompt engineering, RAG-подходов, оценки качества моделей;
- Опыт деплоя ML/LLM решений (Docker, Kubernetes, cloud);
- Работа с векторными базами данных.
Будет плюсом:
- Fine-tuning / PEFT (LoRA, adapters);
- RLHF или synthetic data generation;
- Опыт с LangChain, LlamaIndex, Hugging Face;
- Оптимизация инференса (vLLM, TensorRT, ONNX);
- Опыт с мультимодальными моделями;
- Публикации / open-source / pet-проекты;
- Участие в хакатонах;
- Понимание продуктовых метрик.
Условия:
- Полная удалёнка;
- Аккредитованная ИТ-компания;
- Интересный продукт, современный стек, микросервисная архитектура;
- Известные клиенты из ТОП-10 в своих сегментах;
- Прокачка скиллов под руководством лидов с 8+ лет опыта;
- Достойный оклад по итогам собеседования + ежеквартальный сбор ОС с премированием лучших сотрудников;
- Возможность взять на себя дополнительные задачи за соответствующее вознаграждение;
- Премии за менторство младших сотрудников;
- Ежеквартальные бонусы и подарки лучшим сотрудникам;
- Пригласите друга и получите щедрое вознаграждение за рекомендацию.
Location: Hybrid (Berlin, Germany). Must be based in or be able to relocate to Berlin, Germany (attendance at the Berlin campus 2 days a week).
Company: A pioneering local delivery platform operating in over 70 countries, focusing on efficient, affordable, and sustainable last-mile delivery.
What you will do:
— Build and scale AI agents capable of reasoning, tool calling, and interacting with internal services and data systems.
— Develop and maintain Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic retrieval systems.
— Design and implement evaluation frameworks and safety guardrails for agent behavior and model performance.
— Implement observability, monitoring, and cost visibility for LLM and agent workloads.
— Collaborate with data scientists and platform engineers to integrate AI systems with the broader ML ecosystem.
— Optimize systems for performance, reliability, and cost efficiency while operating AI workloads at scale.
Requirements:
— Proven experience shipping LLM-powered systems or AI agents into production.
— 4+ years of experience in production machine learning infrastructure, specifically involving LLMs.
— Strong programming skills in Python with experience building scalable backend services.
— Experience with Cloud platforms, ideally AWS or GCP.
— Strong communication skills and ability to work collaboratively in cross-functional teams.
Nice to have:
— Experience with Kubernetes, Terraform, Kafka, MLflow, or Kubeflow.
— Experience with LLM application frameworks such as LangChain, LangGraph, or LlamaIndex.
— Experience with ML frameworks such as Hugging Face or PyTorch.
Culture & Benefits:
— Hybrid working model with 2 days a week in the Berlin campus.
— 27 days of holiday, increasing with years of service.
— €1,000 Educational Budget, language courses, and access to Udemy Business.
— Health checkups, meditation, and gym/bicycle subsidies.
— Employee Share Purchase Plan, corporate pension plan, and life/accident insurance.
— Relocation support and dedicated relocation hub for moving to Berlin.
ГибридseniorBerlin
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Требования:
- Высшее техническое образование по статистике/прикладной математике/IT
- Знания Python, Docker, n8n, SQL
Обязанности:
- Создание LLM-агентов на основе метаданных DWH
- Покрытие витрин дополнительными тестами и автоматизация проверок данных
- Разбор структуры DWH и изучение документации
Условия:
- Официальное трудоустройство на 3-6 месяцев
- Заработная плата 50 000 руб. гросс
- Частичная занятость удаленно, гибкий график работы
Задачи:
— анализировать код и проводить идентификацию ИТ-составляющей модельного риска
— проводить проверку качества данных
— автоматизировать процессы ИТ-валидации (создавать ИТ-валидационные тесты на языке Python).
Требования:
— хорошо знаешь мат. статистику и теорию вероятностей
— разбираешься в Python/SAS/R и основных библиотеках анализа данных
— знаешь основы Data Science
— умеешь писать запросы SQL/Oracle PL
— интерес к работе с ИИ и базовые навыки общения с нейросетями
— опыт использования Гигачата и других AI-инструментов в учёбе или проектах
— желание учиться работе с ИИ (обучат).
Условия:
— стажеры решают боевые задачи, получают реальный опыт работы в DataScience
— знакомство с многообразием моделей в экосистеме Сбера
— работа в команде студентов и выпускников НГУ и НГТУ.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
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 Opportunity
We are looking for a
Database Administrator
who will contribute to the design, deployment, optimisation, and full lifecycle management of enterprise-level cloud database platforms. You will implement multi-cloud architectures for Alibaba Cloud and AWS databases, ensuring high availability, high performance, and cost optimization.
What You'll Be Doing
Execute end-to-end database operations, including backup and recovery, monitoring and alerting, health checks, capacity planning, release support, lifecycle management, and operational documentation, ensuring database platforms meet business requirements for stability, performance, and availability.
Drive database reliability and performance optimization, including SQL tuning, index optimization, schema review, workload analysis, slow-query analysis, and root-cause investigation for production incidents.
Implement database security and governance controls, including access management, privilege review, audit logging, encryption, data masking, vulnerability remediation, and security baseline enforcement.
Maintain, and regularly validate database backup, recovery, and disaster recovery solutions, including RPO/RTO planning, restore testing, cross-region/cross-zone replication, failover drills, and emergency recovery procedures.
Deliver database migration, scaling, sharding, read/write splitting, high availability, and data distribution solutions for business-critical systems.
What We Look For In You
Bachelor's degree or above in Computer Science or a related field, with
4+ years of database management experience
and
2+ years of cloud platform (Alibaba Cloud / AWS) experience.
Proficiency in relational, NoSQL, and distributed database architectures; familiar with high-availability designs and proven experience delivering them in production.
Deep understanding of mainstream database engine internals; strong hands-on database design, capacity planning, and architecture governance capabilities.
Proficient in database performance tuning and optimization; experienced operating databases at high concurrency and large-scale data volumes.\Hands-on experience with MySQL, PostgreSQL, Redis, MongoDB, Elasticsearch, HBase, and Kafka.
Strong Linux/Unix system administration skills, with proficiency in Python and Shell scripting; familiarity with Perl or PHP is a plus.
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: United States
ClinChoice is a global full-service CRO committed to professional growth and a quality-driven “one-team” culture. We are seeking a
Principal Statistician
to join our in-house team and support projects across a diverse client portfolio, including pharmaceutical, biotechnology, medical device, and consumer health companies of varying sizes.
We are seeking a highly skilled
Principal Statistician
to lead statistical activities for clinical trials. This role requires hands-on statistical expertise, strong communication skills, and the ability to independently lead projects while collaborating closely with cross-functional teams.
Join our team: you can be part of making a difference in peoples' lives and experience a fulfilling and rewarding career!
Key Responsibilities
Lead and provide statistical support for clinical studies, primarily within
Immunology or any therapeutic areas
Act as the
lead statistician
on assigned studies, overseeing statistical strategy and deliverables
Author and review key statistical documents, including:
Statistical Analysis Plans (SAPs)
Analysis Database Specifications (ADS)
Statistical sections of clinical study reports
Review and interpret analysis outputs, ensuring accuracy, quality, and regulatory compliance
Collaborate with cross-functional teams including Clinical, Programming, Data Management, and Regulatory
Provide guidance and oversight to statistical programmers as needed
Communicate statistical concepts, results, and risks clearly to both technical and non-technical stakeholders
Ensure adherence to regulatory standards (FDA, ICH, GCP) and company SOPs
Required Qualifications
MS or PhD in Statistics, Biostatistics, or a related field
Strong experience in Oncology studies
Hands-on experience writing:
Statistical Analysis Plans (SAPs)
Analysis Database Specifications
Reviewing and interpreting analysis results
SAS programming skills required
(hands-on or strong working knowledge)
Excellent
written and verbal communication skills
Experience working in a CRO and/or pharmaceutical/biotech environment
Preferred Qualifications
Experience leading Phase II–III clinical trials
Prior interaction with regulatory agencies
Experience mentoring junior statisticians or programmers
The Application Process
Once you have submitted your CV, you will receive an acknowledgement that we received it. If you have the requirements we need, you will be invited for phone interview as the first step. Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful.
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset and they are the fulcrum around which all ClinChoice activities are built and close management and training is the core instrument to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our below industry average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent guided by diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
#LI-TT1 #LI-Remote #LI-Principal #Permanent
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 team
The Legal, Compliance & Finance Data Team builds the data infrastructure powering OKX's compliance operations globally — TMS, KYC/EDD, CMS, and regulatory reporting across 100+ markets. The compliance data domain is broad but learnable. We expect senior engineers to build deep domain knowledge quickly using AI tooling and structured onboarding.
About the role
We are looking for a Senior Data Engineer to work as a core execution partner to our Compliance Projects. This is a hands-on technical role with real domain ownership — you will own sub-domains end-to-end, not just execute tickets. Strong performance creates a direct route toward the Compliance domain's technical leadership layer as the team scales.
Responsibilities:
Pipeline Ownership:
Own end-to-end pipelines from ODS ingestion through CDM to downstream marts serving TMS, KYC, CMS, and regulatory reporting. Design, build, and maintain production-grade pipelines with reliability, auditability, and regulatory correctness as first-class requirements.
Full-Stack Compliance Coverage:
TMS: transaction monitoring feeds, rule feature engineering, Scila/TME platform data integration, TME/ARS features
KYC/CRR/EDD: KYC refresh pipelines, remediation datasets, CRR scoring features, Worldcheck integration
CMS: case management data, transaction analysis tooling, bulk search, KYB operation data
Regulatory reporting: recurring compliance reports for global and jurisdiction-specific requirements
Data Quality:
Design proactive DQC checks into pipelines. Own monitoring and reconciliation; build alerting that catches issues before downstream systems or regulators do.
AI-Accelerated Domain Building:
Use AI tooling actively to ramp on compliance domain knowledge. Apply LLM-assisted development to accelerate pipeline development, DQC design, and documentation.
Collaboration:
Work closely with the Compliance Project Lead as a trusted technical partner — take sub-domain ownership to expand his effective bandwidth. Mentor junior engineers as your domain confidence grows.
Requirements:
4+ years in data engineering with strong production pipeline experience (ETL/ELT, SQL, Python, orchestration)
Demonstrated ability to own a data domain end-to-end — business logic, quality, and incident handling
Strong data modelling skills for compliance or financial data (auditability, lineage, immutability)
Fast domain learner with evidence — can point to a time they ramped up in an unfamiliar domain quickly, ideally using AI tooling
Comfortable working in ambiguity: turns underspecified compliance requirements into scoped engineering tasks
Preferred Qualifications:
Experience in compliance, AML, KYC, transaction monitoring, or financial crime data domains
Background in crypto, fintech, or regulated financial services
Familiarity with Scila, Unit21, World-Check, or equivalent TMS/CMS platforms
AI/LLM tooling applied to data engineering in practice — concrete examples preferred
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 team
The Finance Data Team is responsible for the data infrastructure that powers OKX's compliance, regulatory, and financial reporting operations globally. Our Finance Data domain covers everything from raw transaction ingestion to consolidated group financials — supporting statutory reporting, board-level financials, and audit readiness across 100+ markets.
This is a team that treats data correctness as a non-negotiable. We operate at the intersection of engineering rigour, financial domain knowledge, and regulatory accountability.
About the role
We are looking for a
Staff Data Engineer
to be the technical anchor for Finance Data at OKX. You will define how Finance data is architected, validated, and delivered, and set the standard for how the team operates in an AI-native way.
You will work directly with Finance, Accounting, and Treasury stakeholders to ensure that financial data is complete, reconciled, traceable, and audit-ready. You will also be the domain's primary escalation point and the technical voice of Finance Data within the broader engineering organisation.
This role suits someone who has operated as a de facto domain lead before — someone who has built financial data systems that have been reviewed by auditors, regulators and who knows what "good" looks like in a regulated financial data environment.
Responsibilities:
Domain Architecture & Technical Direction
Own the end-to-end Finance data architecture: from ODS ingestion through CDM transformation to reporting mart, with clear data lineage documented at every layer
Define and enforce data modelling standards for Finance: period cut-off immutability, multi-entity consolidation logic, revenue recognition alignment, and audit trail completeness
Lead the design of scalable pipelines supporting trading data, asset positions, P&L, and cost accounting across multiple legal entities and jurisdictions (SG, EU, US, and others)
Make architectural decisions independently and articulate trade-offs clearly to both engineering peers and non-technical Finance stakeholders
Financial Reporting & Audit Readiness
Partner with Accounting, Finance PMO, and Treasury to deliver datasets for month-end close, statutory reporting, and board-level financials on time and to audit standard
Ensure every financial figure is traceable back to the source system with full transformation history — no black boxes
Build the data foundation that supports OKX's regulatory reporting obligations and long-term financial reporting maturity
Data Quality & Controls
Design proactive, self-validating DQC frameworks — reconciliation logic, SLA monitoring, and anomaly detection built into pipelines, not bolted on after incidents
Own incident response for Finance-critical pipeline failures; conduct structured post-mortems and drive permanent fixes
Define "done" for financial correctness in partnership with Accounting; hold the line on data quality standards even under delivery pressure
AI-Native Finance Data
Lead the team's adoption of AI-assisted engineering: LLM-assisted development, automated anomaly detection, intelligent reconciliation, AI-generated reporting summaries
Evaluate and introduce AI tooling into Finance data workflows with production evidence — not POC demos
Set the bar for what an AI-native Finance data team looks like, and bring junior engineers along
Technical Leadership & Influence
Be the go-to escalation point for Finance data domain questions across the team
Mentor and grow engineers working in the Finance domain; translate domain complexity into learnable patterns
Represent Finance Data in cross-team architecture discussions, sprint planning, and stakeholder reviews
Document domain knowledge that outlasts any individual — data dictionaries, pipeline specs, onboarding guides
Requirements:
6+ years
in data engineering, with at least
3 years owning a Finance, Accounting, or financial reporting data domain
end-to-end
Deep understanding of financial data fundamentals: period close and cut-off rules, revenue recognition, multi-entity consolidation, reconciliation, and audit trail requirements
Demonstrated experience building data systems that have been reviewed in a
statutory audit
or
regulatory review
Strong SQL and Python; proven ability to design and maintain complex production pipelines at scale
Experience designing for immutability and lineage — financial data that can be rolled back, re-run, and traced without manual intervention
Track record of operating with significant autonomy: defining requirements from ambiguous stakeholder input, not just executing tickets
Preferred Qualifications:
Experience at a
crypto exchange, fintech, or company that has gone through IPO preparation or public company financial reporting
Familiarity with regulatory reporting requirements across multiple jurisdictions (MAS SG, SEC, FCA, or equivalent)
AI/
LLM
tooling applied to data engineering workflows in production
— concrete examples required; "exploring" does not count
Experience with Spark, Airflow, or equivalent orchestration at scale
Prior experience as a de facto domain lead or tech lead without formal people management title
Background working with Accounting/Controllership teams as a technical counterpart
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
.
Задачи:
— разрабатывать RAG-помощника для пользователей «Авито Подработки»;
— автоматизировать работу диспетчеров в «Авито Подработке» с помощью LLM;
— участвовать в создании ассистента для «Авито Подработки».
Требования:
— опыт работы в Data Science / Machine Learning от 3 лет;
— опыт построения RAG;
— опыт построения AI-агентов;
— опыт работы с LLM;
— умение писать поддерживаемый, тестируемый и масштабируемый код на Python;
— опыт внедрения моделей в продакшен;
— умение работать с заказчиками внутри команды и за её пределами.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
WHAT YOU’LL DO
- Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
- Drive a culture of experimental design, testing agenda, and best practices
- Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
- Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
- Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
WHAT YOU NEED
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience within the payments and financial technology space
- Familiarity with B2B enterprise sales cycle metrics and processes
ABOUT OUR TEAMS
- Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
- Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
- Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Задачи:
- Поддержка текущего функционала продукта.
- Расширение и развитие функционала действующего продукта.
- Анализ логов, данных, выстраивание логических цепочек, построение и проверка гипотез.
- Создание и поддержка новых дата-пайплайнов.
- Работа с Clickhouse. Написание и оптимизация средних/сложных SQL запросов.
- Анализ, подготовка и обработка данных.
- Обеспечение качества данных.
Предстоит поддерживать и развивать:
- Десктопное кроссплатформенное ПО (Java 17+, Swing).
- Монолитное ПО, включает в себя клиентскую и серверную части (взаимодействие посредством gRPC).
- Отсутствие фрэймворка, используются собственные наработки.
- Организация взаимодействия с БД (PostgreSQL, ClickHouse) посредством jdbc, без подключения дополнительных библиотек.
- Организация работ механизмов в многопоточном режиме с помощью ExecutorService, CompletableFuture.
- Покрытие кода тестами (Mockito, JUnit).
- Аналитические запросы и большие объёмы данных (~60 TB).
Требования:
- Опыт работы в аналогичной роли от 3 лет.
- Знание теории реляционных БД, понимание логической, физической моделей БД.
- Опыт оптимизации сложных запросов.
- Опыт поиска проблем в работающих под высокой нагрузкой системах.
- Опыт создания и поддержки ETL-процессов.
- Глубокий практический опыт разработки на Python (pandas, numpy).
- Опыт работы с Apache Airflow, самостоятельное создание DAG.
- Опыт работы с СУБД Clickhouse, написание средних/сложных и нетривиальных SQL-запросов.
- Умение самостоятельно брать задачи, по необходимости уточнять требования и доводить до финального результата.
- Навык поиска оптимальных решений: умение работать в условиях неопределенности, формулировать вопросы и предлагать решения.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Turkish
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA; Massachusetts
Workplace: onsite
Overview
Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems.
This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs.
While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale.
We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.
Project Details
Job Title: Data Labeling Analyst
Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)
Hours: Full-time, 40 hours per week
Employment Type: W2 Full-Time Employee
Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)
Pay Rate: $28/hour
Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.
What You’ll Do
Execute high-volume data labeling and annotation tasks across speech and voice datasets
Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
Work with audio and language data, including transcription, categorization, and tagging
Maintain strong throughput while meeting quality expectations
Escalate unclear or ambiguous cases appropriately
Adapt to evolving guidelines and workflows as systems and requirements change
Support baseline data production needs for AI training pipelines
Contribute to team calibrations and quality alignment sessions
What We’re Looking For
Native-level fluency in Arabic
Strong written communication skills and language fundamentals
1 year of work experience
in data labeling, annotation, or content-focused work;
or a Bachelor's degree or equivalent
academic qualification in a related field.
Ability to follow detailed instructions and apply guidelines consistently
High attention to detail and ability to maintain accuracy in repetitive tasks
Comfort working in structured, process-driven environments
Ability to manage time effectively and maintain steady output
Willingness to ask questions and escalate when needed
Basic familiarity with AI, speech technology, or language data is a plus
Benefits
Paid Vacation: 6 days
Paid Company Holidays: 2 days (Memorial Day and Labor Day)
Paid Sick Leave: accrued per applicable state law and company policy
Medical, Dental, and Vision Insurance (eligibility applies)
Health Savings Account (HSA)
401(k) Retirement Plan
Employee Assistance Program
Additional voluntary benefits (life, accident, critical illness, etc.)
Onsite Perks (where applicable):
Free breakfast, lunch, and dinner
Stocked micro-kitchens with snacks and beverages
Commuter benefits, including shuttles and bike-to-work options
Unique campus features depending on location
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Why This Role
This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users.
It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.
Location: Toronto; Europe; London; New York
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!
Role Overview:
As a Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus.
Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.
Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. (EST/EU)
Key Responsibilities:
- Maintain large-scale pipelines for processing web corpora.
- Work on filtering and quality-scoring systems to identify high-value web documents.
- Analyze web data composition across domains, languages and time periods.
- Develop and maintain highly-performant deduplication pipelines.
- Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.
Qualifications:
- Strong software engineering skills, with proficiency in Python and experience building data pipelines.
- Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.
- Experience working with large-scale web datasets.
- Knowledge of data quality assessment techniques and experimentation with data mixtures.
- A passion for bridging research and engineering to solve complex data-related challenges in AI model training.
Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).
If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
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.
Singapore, Singapore
United States
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
Hong Kong, Hong Kong SAR; Singapore, Singapore
Singapore
География найма не уточнена
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
ОфисCalifornia; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA; Massachusetts; To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston
