Job Closed
This listing is no longer active.
RTB House is a global company that provides state-of-the-art marketing technologies for top brands and agencies.
Machine Learning Research Team Leader
Location
Poland
Posted
107 days ago
Salary
0
Seniority
Senior
Job Description
Machine Learning Research Team Leader
RTB House
• Manage a team of strong ML Researchers • Provide deep research leadership and expertise • Act as a driver of execution and accountability within the team • Set clear expectations around ownership, delivery, and quality • Support team members through feedback and coaching, with a strong focus on effective execution and impact • Maintain a high technical and operational bar, balancing experimentation with delivery • Foster a culture of impact, healthy ambition, open mindedness, teamwork, and mutual respect. • Participate in hiring and onboarding as the team grows • Design and implement machine learning models (most often deep neural networks) used in production systems at scale • Translate research ideas into concrete, testable, and deployable solutions • Conduct and evaluate A/B tests, focusing on measurable impact rather than purely academic results • Develop and improve approaches to key problems such as bidding in first-price auctions, with clear ownership of outcomes • Lead research initiatives end-to-end: from problem formulation, through experimentation, to production rollout • Drive execution by helping the team prioritize work, remove blockers, and deliver results • Communicate clearly with product and engineering to ensure alignment on goals, timelines, and impact
Job Requirements
- Strong background as a Senior ML Researcher with a proven record of shipping impactful solutions
- Experience leading teams or projects with solid track record of delivering impact
- Solid understanding of statistics and probability
- Strong programming skills and practical ML engineering mindset
- Strong orientation toward execution, decision-making, and responsibility for outcomes
- Formal people management experience is not strictly required. We value candidates who have led complex, multi-year projects involving multiple contributors and consistently delivered high-impact results and are motivated to grow into a people management role.
Benefits
- A very attractive compensation
- Work with a team of enthusiasts with experience in machine learning who willingly share their knowledge and skills
- Work in the company that operates in remote-first manner
- Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project;
- Possibility to use knowledge and competences in practical applications - while optimizing algorithms supporting hundreds of millions of Internet users and monthly buys of billions of advertising views in the RTB model, based on extensive data sets
- The effects of your work immediately visible in the company's business results
Related Guides
Related Job Pages
More Machine Learning Engineer Jobs
Firewall Engineer
SAICSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Firewall Engineer will serve as a technical lead on our Cybersecurity and Infrastructure team. In this role you will be a key member of our Infrastructure and SOC team, helping to support security teams with incident resolution and maintaining security tools. - Perform routine system maintenance, apply policy updates, and troubleshoot customer-reported issues related to firewall or VPN functionality. - Support teams with scan configuration and troubleshooting, ensuring systems are updated with the latest code versions, and coordinate with the vendor to address any technical issues. - Full lifecycle maintenance of the server, provisioning and troubleshooting RSA tokens, and ensuring that all users who require RSA access can authenticate securely and without interruption. - Assist security teams with issue resolution, perform routine maintenance, and ensure the tool remains fully operational and aligned with program security requirements. Qualifications - Bachelor's degree and 5 years of experience; may consider an additional 4 years of experience in lieu of a degree. - Prior experience supporting Palo Alto Firewalls and PRISMA VPN. - Experience with NESSUS Scanners and NESSUS Agent Manager. - Experience with RSA Authentication Manager. - At least 1 year of experience with Palo Alto. Company Description
Senior Firewall Engineer
SAICSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior Firewall Engineer will serve as a technical lead on our Cybersecurity and Infrastructure team. In this role, you will be a key member of our Infrastructure and SOC team, helping to support security teams with incident resolution, maintain security tools, and operate as a technical lead. - Perform routine system maintenance, apply policy updates, and troubleshoot customer-reported issues related to firewall or VPN functionality. - Support teams with scan configuration and troubleshooting, ensuring systems are updated with the latest code versions, and coordinate with the vendor to address any technical issues. - Full lifecycle maintenance of the server, provisioning and troubleshooting RSA tokens, and ensuring that all users who require RSA access can authenticate securely and without interruption. - Assist security teams with issue resolution, perform routine maintenance, and ensure the tool remains fully operational and aligned with program security requirements. Qualifications - Bachelor's degree and 9 years of experience, or an additional 4 years of experience in lieu of a degree. - Prior experience supporting Palo Alto Firewalls and PRISMA VPN. - Experience with NESSUS Scanners and NESSUS Agent Manager. - Experience with RSA Authentication Manager. - At least 3 years of experience with Palo Alto. Company Description
At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation. The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making. Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics. We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges. This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.
Senior AI/ML Engineer
Rosie's PeopleYour one-stop partner for all your Leadership, HR & Business Operations challenges.
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves supporting the development of next-generation AI capabilities within a cybersecurity technology platform. - Contribute to the design and implementation of advanced AI systems capable of interpreting large volumes of security data. - Focus on building production-ready AI infrastructure that can scale with the platform's evolving capabilities. What You'll Be Building - Advanced NLP Systems: Develop natural language processing models capable of extracting structured insight from unstructured documents, threat intelligence feeds, and security reports. - LLM / Retrieval Systems: Build retrieval-augmented intelligence systems that generate contextual security insights and assist with automated risk analysis. - Knowledge Graph Architecture: Design dynamic knowledge graph structures that map relationships among assets, vulnerabilities, and regulatory frameworks. - Real-Time AI Pipelines: Develop scalable ML pipelines that process security data streams and deliver actionable insights. Key Responsibilities - AI Architecture & Engineering: - Designing and deploying production-grade NLP models for security intelligence analysis. - Developing knowledge graph systems connecting assets, vulnerabilities, and compliance frameworks. - Building LLM-based intelligence capabilities to support automated cyber risk insights. - Technical Delivery: - Implementing robust MLOps pipelines to support model lifecycle management. - Optimising model performance for real-time or near-real-time security analysis. - Collaborating with domain specialists to translate cybersecurity concepts into machine learning models. - Strategic Contribution: - Contributing to the technical roadmap for AI capabilities within the platform. - Researching emerging AI techniques relevant to cybersecurity and risk analysis. - Supporting architecture decisions that enable long-term scalability. Qualifications - Advanced degree in Computer Science, AI/ML, Mathematics, or a related technical field. - 5+ years of experience building production AI/ML systems. - Strong expertise in NLP frameworks (e.g., spaCy, Hugging Face, OpenAI APIs). - Experience working with knowledge graph technologies (e.g., Neo4j, Neptune, or similar). - Hands-on experience with LLM/RAG architectures. - Strong programming skills in Python with frameworks such as PyTorch or TensorFlow. - Comfortable working within cloud environments (AWS, Azure, or GCP). - Experience working with cybersecurity data or threat intelligence. - Familiarity with frameworks such as NIST, ISO 27001, SOC 2, DORA, or OWASP. - Experience building ML systems within regulated industries. Engagement Structure This role is structured as a fractional technical engagement (approximately 8 hours per week) for experienced engineers interested in contributing to the technical foundation and development of an emerging cybersecurity technology platform at an early stage. Participation is aligned with the company's current growth phase and is structured around long-term strategic involvement and shared upside as the platform scales. This opportunity is well-suited to engineers who enjoy solving complex technical problems and contributing to foundational systems in emerging technology environments.
