(Senior) Applied ML Researcher

JetBrains

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.

Relation Therapeutics

ABOUT RELATION Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics from patient tissue, functional assays, and machine learning to drive disease understanding, from cause to cure. We are scaling rapidly and building a team of exceptional individuals to push the boundaries of drug discovery. You will work in highly interdisciplinary teams where biology, computation, and engineering come together to solve complex problems that have not been solved before. Our state-of-the-art wet and dry labs in the heart of London are designed to accelerate this integration and translate insight into impact. We are committed to building diverse and inclusive teams. Relation is an equal opportunities employer and does not discriminate on the basis of gender, sexual orientation, marital or civil partnership status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability, or age. By joining Relation, you will help define how medicines are discovered and deliver meaningful impact for patients. THE OPPORTUNITY We are seeking a Senior Data Scientist, Computational Biology to join Relation, working at the intersection of single-cell biology, spatial omics, and machine learning. In this role, you will apply advanced computational and statistical approaches to analyse high-dimensional biological datasets, generating insights that directly inform disease understanding and drug discovery. You will sit within the Single Cell & Spatial Omics function, working closely with ML researchers, experimental scientists, and software engineers to translate complex biological data into actionable knowledge. This is a highly collaborative, scientifically driven role, suited to someone who enjoys working deeply with data, challenging models with biological insight, and contributing meaningfully to interdisciplinary research programmes. DAY TO DAY, YOU WILL * Analyse and interpret single-cell, spatial, and other multi-omics datasets to uncover biological mechanisms relevant to disease and therapeutic intervention. * Develop and apply statistical and computational methods for transcriptomics and related omics data. * Use domain expertise to design rigorous evaluation tasks that test, challenge, and refine ML models. * Collaborate closely with ML scientists to inform model assumptions, features, and interpretation. * Work with experimental teams to help design experiments and validate computational hypotheses. * Clearly communicate insights, results, and methodologies to internal stakeholders and contribute to scientific publications. PROFESSIONALLY, YOU WILL HAVE * A PhD in computational biology, bioinformatics, statistics, physics, mathematics, or a related quantitative field. * Strong experience working with high-dimensional biological data, including transcriptomics and other omics modalities. * Proficiency in Python, with experience in scientific computing and data analysis. * A solid understanding of statistical modelling and quantitative methods applied to biological data. * Experience with Bayesian models. Bonus experience * Hands-on experience with single-cell and/or spatial omics data, including patient-derived samples. * Familiarity with machine learning approaches used in biological or biomedical research. * Experience working in interdisciplinary teams spanning biology, data science, and ML. * Exposure to scalable computing environments. PERSONALLY, YOU * Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams. * Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work. * Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect. * Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams. * Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes. WORKING STYLE & CULTURE AT RELATION At Relation, we operate in a matrixed, interdisciplinary environment, where impact is driven through collaboration across scientific, technical, and operational domains. We collaborate, and you will partner with colleagues across multiple teams and projects, contributing your expertise while aligning to shared company priorities. We work together and win together! The patient is waiting! RECRUITMENT AGENCIES Please note that Relation does not accept unsolicited resumes from agencies. Resumes should not be forwarded to our job aliases or employees. Relation will not be liable for any fees associated with unsolicited CVs. Relation is a committed equal opportunities employer.

IDnow

IDnow is a leader in digital identity and fraud prevention in Europe with a mission to transform trust into the most powerful asset in the digital world, empowering enterprises with AI-driven, SaaS-based identity solutions that deliver scalable security, adaptive compliance, and real-time fraud prevention. Through its broad portfolio of digital identity and fraud prevention solutions, IDnow establishes, maintains and enriches trust throughout the customer journey, ensuring businesses can confidently and securely operate while leveraging digital identity to drive growth, security and scalability. The company has offices in Germany, United Kingdom, Romania and France, and is backed by renowned institutional investors, including Corsair Capital and Seventure Partners. Its portfolio of international clients spans a wide range of end markets including financial services, telecommunications, travel & mobility, gaming, and other industries. This position is based in Rennes, France. Europe's leader in identity verification solutions (KYC, eSigning, IDcheck, etc.), is strengthening its RDM (Research Data Management) division. We are looking for a Senior Data Engineer passionate about data and industrialization to design and operate the tools and data storage that power our software and AI research. The data you'll manage is at the core of what IDnow does: identity documents, biometric data, and verification records, sensitive by nature, regulated by design, and technically challenging to handle at scale. You will play a key role in the design and construction of our next-generation data lake, shaping its architecture from the ground up and bringing your experience to a team that values technical leadership and ownership.   KEY RESPONSIBILITIES   * Define and own data storage and data management architecture for our software and AI/ML workflows. * Develop and maintain tools and services that AI & ML R&D teams and engineering teams rely on, including workflow orchestration platforms and test campaign infrastructure. * Manage and analyze large data volumes. * Set up and maintain backend APIs and services that provide reliable and secure internal data access. * Operate and evolve the platform infrastructure (CI/CD, containerization, deployments) with a strong focus on quality (automated testing). * Enforce data access policies and GDPR compliance rules on research datasets, ensuring proper governance, traceability, and data minimization. * Collaborate closely with internal stakeholders (ML teams, product design and development, QA, devops) in an agile environment to prioritize and deliver within a continuous improvement process. * Enforce data access policies and GDPR compliance rules on research datasets, ensuring proper governance, traceability, and data minimization.     PREFERRED EXPERIENCE   REQUIRED: * Application development in Python (tooling, services, data scripts, packaging). * API frameworks and REST APIs (FastAPI/Django REST or equivalent). * Automated testing with pytest; strong quality and coverage mindset. * SQL databases: solid knowledge of PostgreSQL and MariaDB (modeling, query writing, migrations, basic performance tuning). * Data storage: design and operation of data storage solutions, including S3-compatible object storage (Ceph/Rook). * Docker and Kubernetes: containerization best practices and cluster deployments. STRONG PLUS: * Helm and ArgoCD: we are currently migrating our full stack to a Kubernetes + Helm + ArgoCD deployment model, hands-on experience here is a significant advantage. * Identity and access management: Keycloak or equivalent SSO/IAM solutions. * Search & analytics: OpenSearch or equivalent. * CI/CD: GitLab CI, deployment automation (Ansible, ArgoCD). WORKING ENVIRONMENT * Multidisciplinary teams (AI/ML research, development, QA), agile methodology. * Internal clients with a direct impact on the speed and quality of AI research at IDnow. * Strong technical culture, with mutual support and continuous growth. * A technically rich domain where AI, security, and privacy constraints intersect. * Linux: day-to-day administration and tooling (shell, security, permissions, networking). WHAT YOU’LL BRING * The ability to translate R&D needs into robust, scalable, and well-tested data platforms and tools. * Technical leadership on data lifecycle management (ingestion, storage, access, traceability) in service of AI and testing. * The ability to drive key architectural decisions on our data lake: storage organization, access patterns, data lifecycle, and tooling choices. * An industrialization mindset (automation, reproducibility, observability) applied to ML and data workflows. SOFT SKILLS * Motivation and initiative. * Curiosity, appetite for technical challenges, and continuous learning. * Team spirit, clear communication with diverse stakeholders (engineers, researchers, QA, devops). * Rigor, service orientation, and product mindset. * English required (international environment).     PERKS & BENEFITS * Health & Wellbeing: Use your full access to the mental health platform nilo, including 1on1 sessions. * We value personal and professional development: make full use of Udemy, our training platform with 24/7 access and unlimited content/course consumption incl. certification. * We make your remote work comfy: we provide support on equipment and offer flexible working hours. * We value collaboration & love to come together: regular onsite gatherings, internal initiatives and summer parties to connect outside of work. * May your family require your attention or other reasons apply: use the benefit of our paid special leave days. * Enjoy the possibility to combine work with a longer stay at your holiday destination or extend a weekend with our Workcation possibilities. * In addition to the perks & benefits above, we offer specific benefits that differ between our locations.   IDnow applies the principles of non-discrimination and equality: We strive to establish, maintain, and promote an open and inclusive recruitment process and working environment by respecting the principles of equal opportunities. Including but not limited to: sex, race or ethnic origin, religion or convictions, gender identity, citizenship, marital status, disability, age, or sexual orientation.