Jobs at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI Research Engineer (Multi-Modal Reinforcement Learning) in United Arab Emirates.This role sits at the intersection of cutting-edge AI research and large-scale system engineering, focusing on advancing multi-modal reinforcement learning across text, image, audio, and complex simulated environments. You will contribute to the design of next-generation intelligent systems capable of adaptive decision-making in real-world scenarios. Working in a highly research-driven, globally distributed environment, you will help build and scale reinforcement learning frameworks that power advanced multimodal models. Your work will directly influence model performance, training stability, and reward optimization strategies at scale. You will collaborate with top-tier researchers and engineers to push the boundaries of AI capabilities. The role combines deep theoretical research with hands-on system development and experimentation. It is ideal for someone passionate about foundational AI breakthroughs and real-world deployment impact.AccountabilitiesIn this role, you will lead research and engineering efforts across multi-modal reinforcement learning systems while contributing to scalable AI infrastructure and experimentation frameworks. You will be responsible for advancing model performance and robustness through innovative algorithm design and rigorous evaluation practices.Conduct research on reinforcement learning methods for multi-modal systems, including diffusion-based and autoregressive model approaches.Design and build scalable RL infrastructure supporting distributed training and evaluation across complex multi-modal environments.Develop reward modeling strategies to improve alignment, training stability, and mitigate failure modes such as reward hacking.Create and curate simulation environments and datasets for training, benchmarking, and validating multi-modal RL models.Design and execute evaluation protocols to measure performance improvements and ensure reproducibility across experiments.Analyze model behavior across modalities, identifying bottlenecks in optimization, exploration, and cross-modal alignment.Explore and develop next-generation RL paradigms to enhance learning from environment feedback and improve SOTA performance.Publish research in leading AI conferences such as NeurIPS, ICML, ICLR, CVPR, and related venues.RequirementsThe ideal candidate has a strong academic and practical background in machine learning, reinforcement learning, and multi-modal AI systems, with a proven record of research excellence and scalable system development. You are comfortable working at the frontier of AI research while building production-grade experimentation pipelines.Master’s degree in Computer Science or related field required; PhD preferred in ML, CV, NLP, or AI-related disciplines.Strong publication record in top-tier AI conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV).Proven experience in large-scale reinforcement learning experiments, particularly in multi-modal or vision-centric systems.Deep understanding of reinforcement learning theory, optimization, and policy learning in high-dimensional environments.Strong hands-on experience with PyTorch and deep learning frameworks for multimodal AI systems.Experience building end-to-end RL pipelines including simulation, training, evaluation, and deployment.Ability to address core RL challenges such as sample efficiency, exploration-exploitation trade-offs, and training stability.Strong analytical and problem-solving skills with a research-driven, experimental mindset.BenefitsCompetitive compensation package aligned with top-tier AI research talentFully remote, global-first work environmentOpportunity to work on frontier AI research problems at scaleHigh-impact role influencing next-generation multimodal intelligence systemsCollaboration with leading researchers and engineers in AI and reinforcement learningAccess to large-scale experimentation infrastructure and research resourcesStrong culture of innovation, autonomy, and research publication supportHow Jobgether WorksWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether?Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Director, AI and Analytics Sales in United Arab Emirates.This role is a high-impact, quota-carrying sales leadership position focused on driving new business and expansion across AI, data, and analytics solutions. You will be responsible for owning the full sales cycle, from pipeline creation to contract execution, while engaging senior decision-makers across enterprise organizations. The position requires a strong consultative sales approach, combining deep understanding of data platforms with the ability to translate technical capabilities into measurable business value. You will actively shape go-to-market strategies, build trusted executive relationships, and influence adoption of modern AI and analytics solutions. Operating in a fast-paced, partner-driven ecosystem, you will collaborate closely with technical, marketing, and delivery teams to accelerate deal success. This is a highly strategic role for a commercially driven leader passionate about data, AI, and enterprise transformation.AccountabilitiesOwn and deliver quarterly and annual revenue targets across AI, analytics, and data platform services.Drive the full sales lifecycle, including prospecting, qualification, solution development, negotiation, and deal closure.Build and manage a robust, predictable pipeline using CRM tools, ensuring accurate forecasting and reporting.Develop territory and account strategies to maximize growth opportunities within target industries.Lead executive-level client engagements, including discovery sessions, solution presentations, and business case development.Collaborate with pre-sales and delivery teams to create technically strong and commercially compelling proposals and SOWs.Partner with ecosystem vendors such as Databricks and Snowflake to generate co-sell opportunities and joint pipeline.Represent the organization at industry events, conferences, and partner forums to strengthen visibility and demand generation.Maintain long-term executive relationships to support account expansion and customer success continuity.Requirements7+ years of enterprise sales experience, including at least 2+ years selling data, analytics, or cloud platform services.Proven track record of consistently achieving or exceeding quota in complex, consultative sales environments.Strong experience managing large, multi-stakeholder deals typically exceeding $500K+.Deep familiarity with data platforms such as Databricks, Snowflake, or equivalent ecosystems.Solid understanding of modern data architectures including data warehousing, lakehouse, and AI/ML use cases.Strong executive presence with the ability to influence C-level stakeholders and translate technical concepts into business outcomes.Experience working with consulting or professional services organizations in a quota-carrying sales role.Strong knowledge of the competitive landscape, including major cloud and data providers.Proficiency in CRM systems such as Salesforce and disciplined pipeline management practices.Bachelor’s degree in Business, Computer Science, or related field (advanced degree preferred).BenefitsCompetitive compensation aligned with senior enterprise sales roles.Fully remote work flexibility.Opportunity to sell cutting-edge AI, analytics, and data platform solutions.Strong partner ecosystem exposure with leading technology providers such as Databricks and Snowflake.High-growth environment with significant revenue ownership and career advancement potential.Collaborative, cross-functional culture spanning sales, engineering, and delivery teams.How Jobgether WorksWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.We appreciate your interest and wish you the best! Why Apply Through Jobgether?Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.