Machine Learning Engineer, Data Science

Summary

Join Antenna, a data and analytics startup, as a Data Scientist to design, build, and enhance data pipelines and ML systems. You will collaborate with data scientists and engineers to create scalable and efficient systems, ensuring reliability and growth. Responsibilities include designing data pipelines using Python and tools like Spark or Dask, managing MLOps practices, improving data processing jobs on GCP, and preparing machine learning models for production. The ideal candidate possesses 3-5+ years of software engineering experience with a focus on data engineering or ML engineering, expertise in Python and large-scale data processing tools, and strong cloud platform experience (GCP preferred). Excellent problem-solving skills and clear communication are essential. Antenna offers remote work, competitive compensation, mentorship, growth opportunities, and team off-sites.

Requirements

• You have 3-5+ years of work experience in software engineering, with a strong focus on data engineering, ML engineering, or building applications that use a lot of data
• You are an expert in Python, with a strong understanding of object-oriented design, software system design, and experience building high-quality, testable code for production
• You have strong, hands-on experience with tools for handling large amounts of data like Apache Spark (PySpark), Dask, or similar
• You have solid experience with cloud platforms (GCP is highly preferred). This includes putting services live, managing them, making them handle more users (e.g., Docker, Cloud Run, GKE), and working with large data systems (e.g., Dataproc, BigQuery)
• You have strong SQL skills and experience working with large, complex datasets
• You have a deep understanding of machine learning ideas, the full process of creating a model, and MLOps principles
• You are an excellent problem-solver, good at fixing complex issues in systems that run on many computers, and making them perform better and handle more data
• You explain complex technical ideas and system design decisions clearly and effectively in English
• Advanced English proficiency (B2-C1); Excellent communication, teamwork, and consulting skills
• You are passionate about building strong, scalable systems and are eager to guide and work with a team
• You care deeply about code quality, system reliability, and writing good documentation

Responsibilities

• Design, develop, test, and maintain strong and scalable data pipelines using Python and tools for large-scale data processing (like Spark, Dask, or similar on GCP)
• Design and take ownership of key parts of our ML systems, making sure they are reliable, efficient, and can grow
• Set up and manage MLOps practices, including automatic updates for machine learning models (CI/CD), model monitoring, and automated launch plans
• Improve and manage data processing jobs on cloud platforms (GCP: Dataproc, BigQuery, Cloud Run, Cloud Build)
• Work with data scientists to get machine learning models ready for production and connect them to our data systems
• Write detailed documents for the system designs, code, and systems you create and manage
• Fix complex technical problems in data systems that run on many computers and in ML pipelines

Preferred Qualifications

• Experience in or passion for the Subscription Economy, especially in media and entertainment
• Deep knowledge of specific GCP services like Dataproc, Dataflow, Cloud Composer, Vertex AI, or Kubernetes Engine
• Experience building and maintaining Python code (libraries) used by many, or contributions to open-source projects
• Advanced knowledge of MLOps tools and ways to manage workflows (e.g. Cloudbuild, CloudRun)

Benefits

• Work from anywhere, during US business hours
• Competitive compensation, including participation in Antenna equity program
• Mentorship from experienced executives
• Opportunity to grow and impact a rapidly growing start up
• Travel to In-person team off-sites (visa-permitting)