Senior Machine Learning Engineer
About The Position
We’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly-profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services aimed at improving the ad experience. We're looking for seasoned engineers with a background in machine learning to aid in this mission. Examples of problems include improving ad relevance, inferring demographics, yield optimization, and many more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using both general purpose software and statistical languages.
Requirements
- Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field
- 5 years of experience in applied machine learning on real use cases
- Proficient coding skills and strong software development experience in Spark, Python, or Java
- Familiarity with real-time evaluation of models with low latency constraints
- Familiarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.
- Ability to work with large scale computing frameworks, data analysis systems, and modelling environments i.e. Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB
Nice To Haves
- Ad Tech experience is preferred
- Proficient use of AI tools and agentic coding practices
Responsibilities
- Help build a first-class machine learning platform from the ground up which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality
- Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models
- Use machine learning and statistical modelling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy
- Low-level systems debugging, performance measurement, and optimisation on large production clusters
- Partner with product managers, data scientists, and other engineers to deliver impactful solutions
- Continuously learn and adapt to emerging technologies and industry trends
Benefits
- Global access to mental health and financial wellness support and resources
- Healthcare (medical, dental, and vision)
- Life, accident, disability, commuter, and retirement options (401(k)/pension)
- Time off in accordance with local leave policies and other personal needs
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
