Senior Machine Learning Engineer

Há 23 horas

Manaus, Amazonas, Brasil beBeeMachine Tempo inteiro R$72.000 - R$96.000
Are you looking for a challenging role where you can apply your machine learning expertise to drive business outcomes? This senior ML engineer position offers the perfect opportunity to do so.

Job Description

We are seeking a skilled machine learning engineer to join our team and help us build scalable, production-ready systems that optimize revenue while enhancing user experience. Your mission will be to elevate our advertising performance by designing, deploying, and refining algorithms that improve ad targeting, relevance, and efficiency at global scale.

As a senior ML engineer, you will work closely with cross-functional teams to develop and scale advertising algorithms that optimize engagement and revenue simultaneously. You will apply cutting-edge machine learning approaches to improve ad performance and build scalable infrastructure to support real-time ad decisioning across millions of requests per day.

Additionally, you will conduct rigorous experiments to measure model impact on business KPIs, continuously improve ETL pipelines and monitoring systems to ensure reliable ad delivery, and collaborate with global teams to launch high-impact ad features.

Required Skills and Qualifications
  • 5+ years of software development and ML engineering experience, including 3+ years focused on advertising systems
  • Proven experience optimizing ad performance using both mature models and emerging ML technologies
  • Expertise in one or more ML areas: Recommendation Systems, Advertising Algorithms, NLP, or CV
  • Proficiency with Python, SQL, and modern ML frameworks (TensorFlow, PyTorch)
  • Familiarity with distributed data processing (Spark, Ray) and cloud infrastructure (AWS/GCP)
  • Strong analytical problem-solving skills with a proven track record of delivering measurable results
  • Excellent communication, teamwork, and project management skills
Benefits
  • Competitive salary and benefits package
  • Ongoing training and professional development opportunities
  • Collaborative and dynamic work environment
  • Opportunities for career growth and advancement
Others
  • Experience working in a fast-paced, agile environment
  • Ability to adapt to changing priorities and deadlines
  • Passion for innovation and staying up-to-date with industry trends

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