Top Machine Learning Jobs in Bucharest

Part-time threat research intern focusing on malware analysis and AI/ML security. Research emerging threats and blind spots in ML-based detections, prototype proof-of-concept code, write technical blog posts, and collaborate with senior leaders to educate teams and improve detection capabilities.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

CrowdStrike seeks a Senior Intelligence Analyst to provide threat intelligence and digital risk monitoring, collaborating with teams to deliver customer-focused solutions and presentations, while maintaining customer relationships.

Design, develop, and maintain high-performance, secure Java backend services and APIs. Ensure reliability, scalability, and cost-efficiency across microservices, databases, messaging systems, and capacity planning. Troubleshoot, profile, benchmark, and optimize systems (including ML applications) and collaborate with Kazakhstan stakeholders.

Support standard operational pricing tasks including data management and loss modelling, assist R&D and P&M process improvements, develop and test pricing tools, produce dashboards and analyses, collaborate with nearshore/onshore teams and IT to expand analytical capabilities.

As a Senior MLOps Engineer, you'll design and implement MLOps strategies and pipelines while collaborating to enhance fraud detection systems.

Drive product adoption and customer outcomes via 1:1 and 1:many channels. Onboard and support scale customers, manage escalations, monitor health indicators, collaborate cross-functionally, run webinars and calls, prioritize high-volume tasks, and help mitigate churn while identifying expansion opportunities.

Support design, maintenance, and operation of SCOR's AI governance framework, ensuring regulatory readiness (EU AI Act), risk management, standards, playbooks, and oversight of internal and client AI solutions. Collaborate with legal, compliance, risk, data, and technology teams to embed ethical, secure, and pragmatic AI guardrails, assess AI risks (bias, explainability, robustness), and promote governance-by-design and enablement across the organization.

Lead and mentor functional safety engineers to define, analyze, and validate ASIL safety requirements for automotive domain controllers, displays, and connectivity. Perform safety analyses (HARA, FTA, FMEDA, FMEA, STPA), align safety with cybersecurity and ML considerations, coordinate verification/validation activities, and integrate safety concepts with development partners and suppliers.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.

Test native iOS and Android photo-editing apps (manual and automated), validate image-processing and ML features, design/maintain automated test suites, perform exploratory testing, use AI-assisted tools for test generation and analysis, report QA metrics, collaborate with cross-functional teams, and create testing documentation.

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Design, develop, and maintain data pipelines and large-scale processing systems to ensure data accessibility, reliability, and efficient processing. Build ETL/ELT flows, integrate multiple data sources, support data warehousing and reporting, implement APIs and orchestration, optimize data architectures, and apply algorithmic/statistical methods (including AI) to enable analysis and downstream consumption.

Develop, design, test and implement imaging and 3D reconstruction algorithms using C++ and Python. Analyze real data, optimize for high-performance computing, integrate algorithms into applications, and collaborate across algorithms, physics, and electronics teams while participating in design and code reviews.

Lead product strategy and roadmap for query interpretation and search quality. Own models, tools, and metrics to optimize recall and precision. Collaborate with ML, infra, and product teams, triage quality issues, benchmark competitors, and build evaluation frameworks and explainability for search results.

Lead the Recommendations engineering team to build scalable, reliable recommendation-as-a-service products. Own recommendation quality and business impact, set technical direction, translate product goals into engineering plans, ensure SLAs, hire and coach engineers, and drive system reliability and scalability.

Design, back-test and implement pricing, risk management, and agency trading strategies; collaborate with developers to integrate models into the trading platform; participate in product ideation, modeling, parameter tuning, and risk evaluation.

Own post-sale customer lifecycle for Portuguese utility accounts: onboard, embed Neara into workflows (vegetation management, clearance analysis, CAPEX), run QBRs, monitor health scores, drive renewals and upsell, and align product roadmap with local market needs.

Architect and build core Decision Intelligence platform capabilities: heterogeneous data integration, semantic modeling, simulation and optimization services, scalable distributed backend systems, AI/ML and LLM-powered production deployments, data pipelines, and operational tooling. Provide technical leadership, own full lifecycle from design to production, improve reliability, observability, and drive engineering excellence.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Lead and deliver petrophysics, seismic petrophysics and rock physics consulting projects and training. Develop best-practice workflows, support sales with technical proposals, publish and present technical work, and build customer relationships to grow consulting services and software adoption.