NLP Jobs in Cyprus.
All active NLP roles based in Cyprus.
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Senior ML-Engineer, Finance
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Highlights:
Role: Senior ML-Engineer, Finance
Location: Cyprus, Remote
Language: Strong English required (C1)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to own a high-impact client intelligence initiative. Following a successful proof-of-concept with an external consultant, we are bringing this project fully in-house. The ultimate goal is to generate a comprehensive, enriched list of all potential clients globally — understanding their product requirements, industry verticals, and overall revenue potential — and deploy a scoring model that feeds directly into our sales pipeline.
This is an end-to-end ownership role. You will build from the ground up: data collection, enrichment, modeling, and production deployment. The project is co-managed by company executives and has a high strategic value.
What You’ll Do
- Build a market intelligence data-base via collecting different types of data (scraping, enrichment), fixing data pipeline and creating an ML model for scoring and analysis of the raw data.
- Design and operate scrapers to extract key signals from nonprofit websites, including products used, payment tools, and industry vertical indicators.
- Develop critical filters such as an "Is this website for fundraising?" binary classifier, alongside other features that distinguish high-potential prospects.
- Source and integrate financial data from international nonprofit registries, as well as third-party signals from SimilarWeb and Facebook.
- Store and structure the enriched dataset in our internal database, making it accessible and useful across the broader team for research and analysis.
- Work closely with the sales team to understand their qualification criteria. Analyze disqualified accounts in Salesforce to identify common exclusion patterns and refine scoring accordingly.
- Deploy the scoring model and own the process of integrating outputs into Salesforce in a clean, maintainable way.
- Build a scraper to monitor existing clients' websites, tracking whether Fundraise Up tools are correctly implemented across their properties.
Challenges You'll Navigate
- At the scale of ~1 million domains, expect domain duplicates, inconsistent data, and significant noise. You'll need to develop robust, cost-efficient filtering pipelines.
- A single model won't cover everything — you'll likely build several targeted sub-models tailored to specific verticals and geographies as the project matures.
- All of this needs to be accomplished without incurring high infrastructure or data costs. Pragmatic, scrappy solutions are valued here.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting) and understanding of modern NLP/LLM approaches
- Proven experience with large-scale web scraping and data pipeline construction
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (conversion rate, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach; we value clean code, knowledge of design patterns, and solid engineering practices
- Advanced SQL; ability to independently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking and production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down ambiguous problems, choose the right tech stack, and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Infra: linux server admin, distributed computation
Bonus points
- Curiosity and a hypothesis-driven mindset
- Ability to communicate complex analytical concepts to non-technical audiences
- Detail-oriented with a strong sense of ownership
- Comfort working in fast-paced, data-rich environments
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
Senior ML-Engineer
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Highlights:
Role: Senior ML-Engineer
Location: Cyprus, Remote
Language: Russian-speaking team; Strong English required (B2)
About Us
Fundraise Up is a modern fundraising platform built to make donating to nonprofits as fast and convenient as possible. We continuously innovate to reduce page load times, boost conversion rates, and support a wide range of payment methods. Each month, people around the world contribute tens of millions of dollars through our platform.
The world’s leading nonprofit organizations trust Fundraise Up. UNICEF, the most prominent UN charity, uses our platform for 100% of its online fundraising. So does the American Heart Association, the Alzheimer’s Association, and many others. We’re proud to maintain a 4.9 out of 5 rating on leading review platforms.
We serve the enterprise segment, with a primary client base in the US, Canada, UK, and Australia.
The Team
Our product development team is currently at 150+ and growing. Team members are located across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia and Armenia. We primarily communicate in Russian.
We’re a tight-knit, high-impact team where every task matters. It’s a dynamic, collaborative environment where smart, curious engineers support one another, share knowledge, and strive for excellence. We encourage open dialogue and host bi-weekly engineering meetups to explore technical topics and showcase team insights.
About the Role
We're looking for an ML Engineer with 5+ years of production experience to strengthen our ML team. We operate as an internal service and centre of excellence for 10+ product teams at Fundraise Up. This means you won't be tied to a single feature: one day you might be optimising donation amounts and upsell offers, and the next you could be building a smart assistant for the admin panel or working on transaction classification.
We actively use not only classical ML, but also RL, and we're expanding our LLM-based solutions — prompt engineering and pipeline design with LLM APIs (OpenAI and equivalents). That's why we're looking for someone with a broad mindset who isn't afraid to experiment and can choose the most effective approach for each task.
The project's main audience and business team are based in the US. Although the product development team is Russian-speaking, you may occasionally need to write in English.
What You’ll Do
- Develop and deploy ML solutions across different business areas using tabular data (uplift models, recommender systems). We are also actively developing projects that will involve e-commerce mechanics.
- Select the most appropriate ML/LLM approaches or propose alternative solutions.
- Build end-to-end ML solutions: data preparation, training, API development, and monitoring.
- Design prompts and LLM API-based pipelines for specific product tasks: classification, content generation, and response quality evaluation.
Requirements
- 5+ years of ML/DS experience solving real product problems
- Strong expertise in ML and mathematical statistics: solid knowledge of classical algorithms (especially gradient boosting); NLP knowledge is a plus
- Metrics-driven mindset: ability to connect ML metrics (ROC-AUC, F1, RMSE) with business metrics (CR, LTV)
- Strong engineering culture: confident in Python with a product-oriented approach to development; we value clean code, knowledge of design patterns, and solid engineering practices
- Data skills: advanced SQL; ability to independently and efficiently build complex datasets in ClickHouse and work with MongoDB
- MLOps understanding: hands-on experience with experiment tracking tools and understanding of production workflows (Docker, Git, CI/CD)
- Autonomy: ability to break down problems, choose the right tech stack (or justify a non-ML solution), and deliver to production
Our Tech Stack
Core: Python (uv, ruff), FastAPI, Pydantic, Docker
Models: CatBoost, Uplift Modeling (CausalML), OpenAI (RAG, Prompt-Engineering)
Data: ClickHouse, MongoDB, pandas, Polars, Redis
MLOps: MLflow, Airflow
Monitoring: Grafana, Sentry
Why work with us
- A strong, collaborative product team that owns what it builds
- Clear product vision and access to real customer feedback from global nonprofit leaders
- Flat structure: no politics, just great work with great people
- Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
- Long-term focus: we offer equity options and value sustained, meaningful contribution
Benefits
- 31 days off
- 100% paid telemedicine plan
- Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
- English learning courses
- Relevant professional education
- Gym or swimming pool
- Co-working
- Remote working
**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Ready to apply?
Apply to Fundraise Up
This remote position is open to residents of Cyprus.
About the Role:
We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight.
As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.
You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.
Our Work Style:
You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.
Your Impact:
-
Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.
-
Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.
-
Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.
- Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.
Your Qualifications:
- Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting.
- Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
- Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
- Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
- Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.
Why this Role is Unique:
- Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
- Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
- End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
- High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.
Why Join Wrike?
- 25 calendar days of paid vacation
- Sick Leave Compensation (5 Paid Uncertified Sick Days)
- Parental Leave: 18 Weeks Maternity / 4 Week Paternity
- 2 Volunteer Days
- Medical Insurance (Employees + Dependents)
- Hybrid Working Model
- School Allowance (Up to €600/month for school aged kids)
- Simcard w/ Unlimited Internet Access for active employees
- Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
What’s next?
- Exploratory call with a Recruiter
- Meeting with Product Director
- Panel Interview with our representatives of Engineering & Design
- Home Task
- Final Interview with CP
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
Wrike promotes a hybrid model for team members near our office hubs in San Diego, Prague, Dublin, Nicosia, and Tallinn, with 2–3 in-office days per week to foster collaboration and teamwork. This work mode supports our culture of collaboration and solving problems fast to deliver business outcomes and win together.
Our persona
Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Ready to apply?
Apply to Wrike
This remote position is open to residents of the Czech Republic.
About the Role:
We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight.
As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.
You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.
Our Work Style:
You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.
Your Impact:
-
Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.
-
Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.
-
Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.
- Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.
Your Qualifications:
- Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting.
- Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
- Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
- Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
- Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.
Why this Role is Unique:
- Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
- Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
- End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
- High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.
Why Join Wrike?
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What’s next?
- Exploratory call with a Recruiter
- Meeting with Product Director
- Panel Interview with our representatives of Engineering & Design
- Home Task
- Final Interview with CP
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
Wrike promotes a hybrid model for team members near our office hubs in San Diego, Prague, Dublin, Nicosia, and Tallinn, with 2–3 in-office days per week to foster collaboration and teamwork. This work mode supports our culture of collaboration and solving problems fast to deliver business outcomes and win together.
Our persona
Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Ready to apply?
Apply to Wrike
This remote position is open to residents of Estonia.
About the Role:
We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight.
As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.
You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.
Our Work Style:
You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.
Your Impact:
-
Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.
-
Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.
-
Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.
- Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.
Your Qualifications:
- Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting.
- Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
- Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
- Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
- Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.
Why this Role is Unique:
- Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
- Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
- End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
- High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.
Why Join Wrike?
- 28 calendar days of paid vacation
- Sick Leave Compensation (5 Paid Uncertified Sick Days)
- Parental Leave: 18 Weeks Maternity / 4 Week Paternity
- 2 Volunteer Days
- Health Insurance (Employees + Dependents)
- Life Insurance Plan
- Utility Allowance (30 EUR/month, subject to taxation)
- Fitness plan (800 EUR/year)
- Full-remote & On-demand access to Co-working space
What’s next?
- Exploratory call with a Recruiter
- Meeting with Product Director
- Panel Interview with our representatives of Engineering & Design
- Home Task
- Final Interview with CP
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
Wrike promotes a hybrid model for team members near our office hubs in San Diego, Prague, Dublin, Nicosia, and Tallinn, with 2–3 in-office days per week to foster collaboration and teamwork. This work mode supports our culture of collaboration and solving problems fast to deliver business outcomes and win together.
Our persona
Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Ready to apply?
Apply to Wrike
Senior AI Engineer (Core Engine)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are now building services and agentic tools that provide AI coding agents and end users with deeper context about codebases. Our code retrieval service already delivers meaningful improvements in agent speed and task performance, and we aim to push this further – extracting richer insights than snippets alone at the scale of several hundred thousand repositories.
We are looking for an AI Engineer who can design and implement agentic tools from scratch, bring them to the end users, and make coding with agents smarter, faster, and more reliable.
In this role, you will:
- Translate product needs into agentic tools and services and ship them to production.
- Scale prototypes to large numbers of users.
- Improve and test our semantic search service.
- Build evaluation pipelines for code retrieval and coding task performance.
We’ll be happy to have you on our team if you have:
- At least five years of hands-on NLP experience.
- Experience in information retrieval systems.
- Strong experience in LLM prompt and tool engineering, as well as with AI agents.
- Solid programming skills in Python and/or Kotlin (and the willingness to learn the language you’re unfamiliar with).
- Experience building and operating production-grade software systems.
We’d be especially thrilled if you have:
- Experience developing in Kotlin or Java.
- Previously worked with code intelligence (e.g. AST, symbol graphs).
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior ML Researcher (Spectrum)
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Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning.
Spectrum collects data from an organization's code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that's extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.
A resident of JetBrains' startup incubator, Spectrum enjoys startup speed and autonomy, and is backed by 25 years of developer tooling expertise. We are looking for a Senior ML Researcher to develop the core methods that make Spectrum possible – novel approaches to temporal ontology extraction, contradiction detection, and semantic alignment across heterogeneous software artifacts. You will help define and execute the research agenda, while also collaborating with JetBrains Research and external academic advisors.
Your responsibilities will include:
- Developing methods for LLM-based ontology construction from code, documentation, and issue trackers, including contradiction detection and reasoning over the resulting knowledge graph.
- Creating datasets, metrics, and benchmarks that drive measurable improvements across the system.
- Prototyping and validating research ideas, then collaborating with ML and software engineers to bring them to production.
- Collaborating with JetBrains Research and external academic advisors to shape our research agenda.
- Publishing research findings at top venues and representing Spectrum in the research community.
We expect you to have:
- A PhD (or equivalent research experience) in NLP, knowledge graphs, ontology learning, information extraction, or a closely related field.
- A strong publication record in at least one of the following areas: knowledge graph construction, ontology learning, information extraction, or NLP.
- Experience applying LLMs to structured knowledge extraction tasks.
- Experience designing and running rigorous experiments, including hypothesis formulation, ablation studies, and statistical evaluation.
- Strong Python and PyTorch skills, with the ability to implement research ideas from scratch.
- Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
- Proficiency in English, both written and verbal.
Our ideal candidate would also have:
- Experience with ontology engineering, semantic web technologies (OWL, RDF, SPARQL), or ontology alignment.
- A background in code analysis, developer tools, or software engineering research.
- Experience with knowledge graph embedding methods or graph neural networks.
- Experience in early-stage startups – you enjoy the zero-to-one phase.
- Actively contributed to relevant open-source projects.
What we offer:
- A competitive salary and JetBrains benefits.
- A generous runway and corporate resources with startup autonomy.
- Full support for publishing ML research and attending industry conferences.
- Collaboration with JetBrains Research and external academic advisors in the knowledge graph and ontology learning community.
- A motivated team that moves fast, with short feedback loops, rapid prototyping, and lots of ownership.
- A rare applied research role where your methods ship in a real product used by software teams.
Why join JetBrains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-DNI
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
About the Role:
We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight.
As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.
You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.
Our Work Style:
You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.
Your Impact:
-
Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.
-
Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.
-
Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.
- Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.
Your Qualifications:
- Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting.
- Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
- Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
- Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
- Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.
Why this Role is Unique:
- Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
- Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
- End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
- High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.
Why Join Wrike?
- 5 Weeks of paid vacation
- Sick Leave Compensation
- 5 Paid Uncertified Sick Days
- 2 weeks fully paid w/ medical certificate, additional
- 4 weeks paid at 80% salary rate
- Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity
- 2 Volunteer Days
- Meal Vouchers (CZK 220 per working day)
- Annual Prague Travel Card (Lítačka)
- Hybrid Working Model
- Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus
What’s next?
- Exploratory call with a Recruiter
- Meeting with Product Director
- Panel Interview with our representatives of Engineering & Design
- Home Task
- Final Interview with CP
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
Wrike promotes a hybrid model for team members near our office hubs in San Diego, Prague, Dublin, Nicosia, and Tallinn, with 2–3 in-office days per week to foster collaboration and teamwork. This work mode supports our culture of collaboration and solving problems fast to deliver business outcomes and win together.
Our persona
Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Ready to apply?
Apply to Wrike
About the Role:
We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight.
As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.
You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.
Our Work Style:
You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.
Your Impact:
-
Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.
-
Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.
-
Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.
- Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.
Your Qualifications:
- Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting.
- Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
- Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
- Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
- Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.
Why this Role is Unique:
- Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
- Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
- End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
- High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.
Why Join Wrike?
- 25 calendar days of paid vacation
- Sick Leave Compensation (5 Paid Uncertified Sick Days)
- Parental Leave: 18 Weeks Maternity / 4 Week Paternity
- 2 Volunteer Days
- Medical Insurance (Employees + Dependents)
- Hybrid Working Model
- School Allowance (Up to €600/month for school aged kids)
- Simcard w/ Unlimited Internet Access for active employees
- Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays
What’s next?
- Exploratory call with a Recruiter
- Meeting with Product Director
- Panel Interview with our representatives of Engineering & Design
- Home Task
- Final Interview with CP
Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.
#LI-AV1
Who Is Wrike and Our Culture
Wrike promotes a hybrid model for team members near our office hubs in San Diego, Prague, Dublin, Nicosia, and Tallinn, with 2–3 in-office days per week to foster collaboration and teamwork. This work mode supports our culture of collaboration and solving problems fast to deliver business outcomes and win together.
Our persona
Our culture and Values
🤩 Customer-Focused
We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind.
🤝 Collaborative
We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement.
🎨 Creative
We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions.
💪 Committed
We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth.
Ready to apply?
Apply to Wrike
Senior MLOps Engineer (ML Workflows Engineering)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.
By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.
As part of our team, you will:
- Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
- Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
- Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
- Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
- Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
- Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.
We’ll be happy to have you on our team if you have:
- Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
- A solid understanding of the ML lifecycle from idea to the customer-facing application.
- The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
- A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
- Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
- At least three years of Python experience writing clean, maintainable code in modern ML codebases.
Our ideal candidate would have experience with:
- ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
- Developing infrastructure components and services using cluster solutions like Kubernetes.
- The development of Python-based backend services.
- Creating and maintaining ML pipelines, including legacy ones.
- Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.
We’d be especially thrilled if you have experience with:
- LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
- Writing and maintaining Python libraries used by internal (or external) ML engineers.
- A strong theoretical background in NLP and transformer-based approaches.
- Writing code in Java and/or Kotlin.
#LI-HYBRID
#LI-MR1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Senior ML Engineer (JetBrains Research)
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At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
The JetBrains Research team explores ways to use machine learning techniques and agentic approaches to help developers and enhance software development processes. Our work aims to improve the state of ML for code by turning the latest academic advances into practical applications.
Our team is looking for an ML Engineer to participate in a variety of projects in areas such as code completion and generation, AI agents development, and test generation. Though we don’t expect the candidate to have experience in all the tasks we work on, we are looking for someone excited to take on the challenge of working in a diverse set of contexts.
In this role, you will:
- Design and prototype machine learning solutions to improve the software development workflow.
- Apply existing open-source models or train custom ones as needed.
- Build training and evaluation pipelines that support fast iteration and ensure reproducibility.
- Stay up to date with the latest advancements in applying machine learning to source code.
- Collaborate with colleagues and provide mentorship when appropriate.
We’ll be happy to have you on our team if you:
- Have experience designing machine learning systems from scratch.
- Have a background in natural language processing or code modeling.
- Have a proven track record of delivering machine learning projects.
- Know how to design reproducible ML experiments.
- Enjoy working on projects with high uncertainty.
- Are proficient in Python, Java, or Kotlin.
- Have hands-on experience with modern ML frameworks.
It would be nice if you:
- Have experience applying machine learning to programming languages.
- Have hands-on experience building and improving AI agents.
- Have experience in A/B testing and general knowledge of statistics
- Have worked with large-scale data processing pipelines
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains
Staff Research Engineer (LLM Pre-Training)
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At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the world’s most robust and effective developer tools. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.
We are working on an ambitious new platform that provides AI capabilities to all JetBrains products. Our platform is based on models developed in-house for writing and coding assistance, as well as integration with our strategic partners.
We are looking for a Research Engineer who can contribute to training foundation models for coding tasks. You’ll be working on developing Large Language Models from scratch and deploying them into production environments where they will be accessible by end users across the globe.
We value engineers who:
- Can plan projects and make decisions independently, consulting with others if needed.
- Identify customer needs and prioritize their tasks accordingly.
- Start with the simplest solutions and gradually add complexity as needed.
- Take sole responsibility for an entire subsystem.
- Have a passion for learning and a desire to stay up to date with the latest developments in the LLM field.
In this role, you will:
- Work with stakeholders to convert business requirements into technical specifications.
- Train LLMs from scratch on a large GPU cluster.
- Collect and process pre-training and fine-tuning datasets.
- Support and improve existing subsystems.
We’ll be happy to have you on our team if you have:
- Experience in design, deployment, and support of production ML systems.
- A strong theoretical background in NLP and transformer-based approaches.
- Proficiency with modern deep learning frameworks such as PyTorch and common libraries for NLP.
- Experience in distributed training of multi-billion parameter models.
- Attention to detail in everything you do and great communication skills.
We’d be especially thrilled if you have experience with:
- LLM inference frameworks such as vLLM, DeepSpeed, TensorRT.
- LLM alignment techniques such as RLHF/RLAIF.
- MLOps tools and practices, including CI/CD for ML.
- K8s and Kubeflow.
- Scientific publications in the NLP field.
How we develop JetBrains AI:
- A cluster of hundreds of NVIDIA GPUs as training infrastructure.
- Git for source control management.
- Python, PyTorch, and HuggingFace as an ML stack.
- Kubeflow and Weights & Biases for experiment tracking.
- TeamCity as a CI Automation system.
#LI-KP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Ready to apply?
Apply to JetBrains