Research Engineer
Anywhere in Canada
About Madhive
Madhive is the leading tech company engineered for modern TV advertising. Advertisers seamlessly customize and automate the OTT buying process into an operating system with our self-service platform. Powered by our industry-leading bidder and device graph that processes 260 billion available ad opportunities per day, we deliver precise, brand-safe audience connections efficiently at scale.
We are seeking Research Engineers specializing in Backend engineering to join Mad Labs, Madhive's research and development organization. Our goal is to build software like it’s 2035. We work on hard problems in adtech as part of a fast-paced small team. These prototypes serve as a model for the industry and are also used by other departments at Madhive.
What you’ll do…
- Develop solution hypotheses to novel problems in adtech, typically working on several problems at once
- Build and iterate prototypes that (in)validate those hypotheses;
- Report to management on progress, successes achieved, and learnings from failures
- Present successful prototypes to Product, Engineering, and Marketing teams at Madhive.
- You’ll contribute as part of a small team to create novel, inventive, or revolutionary adtech prototypes that are ML-forward, UX-elegant, and data-performant using the following tools:
- Go
- SQL
- Kubernetes
- GPU / SIMD
- Distributed Systems
- Google Cloud
- Spanner
- gRPC
- Parquet, Arrow, Beam, Spark
- Streaming data transforms
- Testing (Bazel)
Who you are…
- Experience with product design and development, especially in a fast-paced or startup environment
- Bachelor's or Master's degree in data science, engineering, or a related field
- A minimum of 5 years of experience in product development or R&D
- Strong analytical and problem-solving skills. Willingness to invalidate your own previous hypotheses and develop new stronger hypotheses.
- Strong ownership mentality, attention to detail, and ability to multitask
We are Madhive
A place for the bold who want to make big decisions. The curious who keep charging ahead. The bright minds who spark brilliant ideas. Join us in bringing a human touch to ad technology.
We empower our clients to create enduring relationships with consumers through maximum-fidelity, TV-first technology that elevates media, embodies relentless innovation, and ensures unrivaled revenue acceleration.
Madhive is a dynamic, diverse, innovative, and friendly place to work. We embrace our differences and believe they fuel our creativity. We come from varied backgrounds and think that’s important. Whether it’s taking ideas from previous lives and applying them in different ways or creating something completely new, we are all trail-blazing team players who think big and want to make an impact.
We are committed to cultivating a culture of inclusion and collaboration. We welcome diversity in education, culture, opinions, race, ethnicity, gender identity, veteran status, religion, disability, sexual orientation, and beliefs.
Madhive has been made aware of fraudulent emails that may appear to be from Madhive or a legitimate recruiter acting on our behalf. Please be aware that Madhive would never ask for sensitive or personal information via e-mail. All official Madhive communications will come from an address ending in @madhive.com OR no-reply@greenhouse.io.
Please contact@madhive.com if you are concerned about the legitimacy of our company's outreach.
Please be advised that we will NOT be using third-party recruiting agencies for this search.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Arrow Bazel Distributed Systems Engineering GCP Google Cloud GPU Kubernetes Machine Learning Parquet R R&D Research SIMD Spark SQL Streaming Testing UX
Perks/benefits: Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs