Senior ML & Systems Engineer - Scalable Bidding Platform

Rtb House; Town of Poland (NY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible cooperate hours

Remote work opportunities

Access to latest technologies

Possibility of publishing results

Job summary

RTB House, based in New York, is looking for a talented individual to join their team focused on Machine Learning and Big Data technologies. In this role, you will be responsible for developing and optimizing the ML training platform and the bidding infrastructure while collaborating with experts in the field.

Ideal candidates will have strong programming skills, a creative approach to problem-solving, and a passion for optimizing algorithms that impact millions of users. Flexible working hours and remote opportunities are available for the right candidate.

Responsibilities

• Develop and maintain the ML training platform and bidding infrastructure.
• Identify performance bottlenecks and optimize system parts.
• Ensure reliability and scalability of implementations.
• Create performance tests for new system components.

Skills

Designing and implementing complex IT systems

Developing user-friendly tools

Proficiency in Python, C++, Java, or Scala

Expertise in Linux

Optimizing system performance

Deep understanding of algorithms and data structures

Creativity to improve existing solutions

Ability to work across teams

C1 level in Polish

Tools

GPU programming

Machine Learning frameworks (Torch, PyTorch, TensorFlow)

Big Data technologies (Hadoop, Kafka, Storm, Spark, Flink)

Google Cloud Platform (GCP)

Job description

RTB House, based in New York, is looking for a talented individual to join their team focused on Machine Learning and Big Data technologies. In this role, you will be responsible for developing and optimizing the ML training platform and the bidding infrastructure while collaborating with experts in the field.

Ideal candidates will have strong programming skills, a creative approach to problem-solving, and a passion for optimizing algorithms that impact millions of users. Flexible working hours and remote opportunities are available for the right candidate.