Duties and responsibilities:
- Processing petabytes of data to extract valuable insights for enhancing our SEO solutions.
- Development and implementation machine learning models to solve complex problems, such as predicting website traffic based on Search Engine Results Page (SERP) position.
- Collaborataion with cross-functional teams to integrate machine learning algorithms into our products and contribute to their successful deployment.
- Monitor and maintain data processing systems, ensuring high performance, accuracy, and reliability.
Skills and experience:
- 4+ years of proven experience as a Machine Learning Engineer.
- Background in software engineering with a deep understanding of distributed ETL systems design and architecture.
- Experience with machine learning frameworks such as TensorFlow, PyTorch.
- A problem-solving mindset with an ability to solve complex tasks in the SEO domain.
- Strong communication and collaboration skills, with the ability to work effectively within a team.
- English – B2.
What we offer:
- 20 days of vacation.
- Flexible work schedule.
- Сompensation of expenses on medical insurance.
- 50% reimbursement of conference tickets and educational courses.
- Compensation for individual English courses.
- Fun corporate events and team building events.
- A top-notch product that is easy to market.
- Opportunity to take part in the product decision-making process.
- Work with a well-motivated fast-and-furious team.
- Supportive environment of marketing professionals that value quality above quantity.
About SE Ranking:
SE Ranking is a SaaS company known for delivering comprehensive and intuitive SEO solutions. The platform leverages cutting-edge technologies such as AI and ML, granting in-house and agency SEO professionals the power to deliver results that promote sustainable business growth. Since its inception in 2013, over a million users have subscribed to SE Ranking.
The SE Ranking workplace comprises 150+ talents from all over the globe. As a remote-first company, we strive to offer every team member a proper work-life balance. We take care of our employees’ physical and mental health by providing them with the relevant benefits.
We value curiosity, creativity, dedication to life-long learning, transparent internal communication, and constructive feedback. To help every team member thrive and reach their full potential, we nurture a dynamic and supportive work environment that sparks growth.
