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Senior ML Research Director
2 tygodni temu
Company Overview
RTB House is a high-performance technology company at the forefront of machine learning innovations. With a strong focus on data-driven solutions, our team works tirelessly to develop and refine cutting-edge technologies that drive business results globally.
Salary and Growth Opportunities
We offer an attractive salary and growth opportunities for talented individuals who share our passion for innovation and excellence. Our compensation package is designed to reward hard work and dedication, ensuring that our employees have the resources they need to succeed in their roles.
Job Description
In this role, you will lead our machine learning research team, driving the development of innovative solutions that improve our core metrics. As a Staff ML Research Lead, you will work closely with cross-functional teams to design and implement new features, leveraging your expertise in machine learning and data science to drive business outcomes.
Required Skills and Qualifications
- Leadership skills: We're looking for someone who can identify high-potential projects, create a vision, communicate with stakeholders, and execute effectively.
- End-to-end ownership: You will own projects from conception through analysis, research, building a proof of concept, testing, to final implementation and deployment.
- Effective communication: In this role, you will collaborate with many people, communicating well and organizing work effectively.
- Ability to solve unclear problems: You will understand the core of the issue, define the goal and how to measure success, and find the most effective way to solve the problem.
- Results-oriented: We value a healthy drive to solve problems effectively, starting simple and using complex tools only when necessary.
- Ability to work cross-team: You will be working cross-team, often across IT and business orgs.
- Ability to build and manage a team: You will start as the first researcher on a Platform Research Team, with the expectation of growing the team to a couple of researchers/engineers in the first year.
Benefits
- Compensation: an attractive salary
- Technology: access to the latest technologies and real opportunity to use them in large-scale and highly dynamic projects; working on extensive and rich datasets
- Impact: your work will be immediately impacting the company's business results and outcomes globally as well as mentoring less experienced colleagues in the team
- Wellbeing: extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely
- Culture: work in a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment
- Purpose-Driven Work: being at the heart of the system, your growing knowledge and competences will be used in practical applications directly connected to business results