TechLink Resources, Inc
Sr. Software Engineer (NO H1B OR C2C) - Major Entertainment Company (Los Angeles
TechLink Resources, Inc, Los Angeles, California, United States, 90079
Senior Software Engineer
Ad Platform Machine Learning Were looking for a Senior Software Engineer to join our Ad Platform Decisioning & Machine Learning Platform team. Our mission is to power the Companys advertising ecosystem with advanced machine learning, AI-driven decisioning, and high-performance backend systems. We build end-to-end solutions that span machine learning, large-scale data processing, experimentation platforms, and microservicesall to improve ad relevance, performance, and efficiency.
If youre passionate about ML technologies, backend engineering, and solving complex problems in a fast-moving environment, this is an exciting opportunity to make a direct impact on next-generation ad decisioning systems.
What Youll Do Build next-generation experimentation platforms for ad decisioning and large-scale A/B testing Develop simulation platforms that apply state-of-the-art ML and optimization techniques to improve ad performance Design and implement scalable approaches for large-scale data analysis Work closely with researchers to productize cutting-edge ML innovations Architect distributed systems with a focus on performance, scalability, and flexibility Champion engineering best practices including CI/CD, design patterns, automated testing, and strong code quality Contribute to all phases of the software lifecycledesign, experimentation, implementation, and testing Partner with product managers, program managers, SDETs, and researchers in a collaborative and innovative environment
Basic Qualifications 4+ years of professional programming and software design experience (Java, Python, Scala, etc.) Experience building highly available, scalable microservices Strong understanding of system architecture and application design Knowledge of big data technologies and large-scale data processing Passion for understanding the ad business and driving innovation Enthusiastic about technology and comfortable working across disciplines
Preferred Qualifications Domain knowledge in digital advertising Familiarity with AI/ML technologies and common ML tech stacks Experience with big data and workflow tools such as Airflow or Databricks
Education Bachelors degree plus 5+ years of relevant industry experience
Role Scope Youll support ongoing initiatives across the ad platform, including building new experimentation and simulation systems used for online A/B testing. Media industry experience is not required.
Technical Environment Java & Spring Boot for backend microservices AWS as the primary cloud environment Python & Scala for data pipelines running on Spark and Airflow Candidates should be strong in either backend microservices
or
data pipeline development and open to learning the other API development experience is required
Interview Process Round 1:
Technical & coding evaluation (1 hour) Round 2:
Technical + behavioral interview (1 hour) Candidates are assessed on technical strength and eagerness to learn.
Ad Platform Machine Learning Were looking for a Senior Software Engineer to join our Ad Platform Decisioning & Machine Learning Platform team. Our mission is to power the Companys advertising ecosystem with advanced machine learning, AI-driven decisioning, and high-performance backend systems. We build end-to-end solutions that span machine learning, large-scale data processing, experimentation platforms, and microservicesall to improve ad relevance, performance, and efficiency.
If youre passionate about ML technologies, backend engineering, and solving complex problems in a fast-moving environment, this is an exciting opportunity to make a direct impact on next-generation ad decisioning systems.
What Youll Do Build next-generation experimentation platforms for ad decisioning and large-scale A/B testing Develop simulation platforms that apply state-of-the-art ML and optimization techniques to improve ad performance Design and implement scalable approaches for large-scale data analysis Work closely with researchers to productize cutting-edge ML innovations Architect distributed systems with a focus on performance, scalability, and flexibility Champion engineering best practices including CI/CD, design patterns, automated testing, and strong code quality Contribute to all phases of the software lifecycledesign, experimentation, implementation, and testing Partner with product managers, program managers, SDETs, and researchers in a collaborative and innovative environment
Basic Qualifications 4+ years of professional programming and software design experience (Java, Python, Scala, etc.) Experience building highly available, scalable microservices Strong understanding of system architecture and application design Knowledge of big data technologies and large-scale data processing Passion for understanding the ad business and driving innovation Enthusiastic about technology and comfortable working across disciplines
Preferred Qualifications Domain knowledge in digital advertising Familiarity with AI/ML technologies and common ML tech stacks Experience with big data and workflow tools such as Airflow or Databricks
Education Bachelors degree plus 5+ years of relevant industry experience
Role Scope Youll support ongoing initiatives across the ad platform, including building new experimentation and simulation systems used for online A/B testing. Media industry experience is not required.
Technical Environment Java & Spring Boot for backend microservices AWS as the primary cloud environment Python & Scala for data pipelines running on Spark and Airflow Candidates should be strong in either backend microservices
or
data pipeline development and open to learning the other API development experience is required
Interview Process Round 1:
Technical & coding evaluation (1 hour) Round 2:
Technical + behavioral interview (1 hour) Candidates are assessed on technical strength and eagerness to learn.