Senior Machine Learning Engineer - Ads R&D
What You'll Do
- Design and implement machine learning systems for ad performance optimization.
- Research and apply ML optimization strategies to balance multiple objectives effectively.
- Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
- Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.
Who You Are
- You have professional experience in applied machine learning.
- You have strong technical expertise in software engineering, data analysis, and machine learning.
- You are proficient in programming languages such as Python, Java, or Scala.
- You are experienced in Tensorflow or PyTorch and working with various aspects of the ML lifecycle.
- You have expertise in developing data pipelines using tools like Apache Beam or Spark.
- (Plus) You may have experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems.
Where You'll Be
We offer you the flexibility to work where you work best! For this role, you can be within the Americas region as long as we have a work location. This team operates within the U.S. Eastern time zone for collaboration.
Pay
The United States base range for this position is $184,050.00 - $262,928.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.
Schedule
This role is permanent.
Benefits
- Health insurance
- Six month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
Qualifications
The United States base range for this position is $184,050.00 - $262,928.00, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave.
Skills
- Professional experience in applied machine learning
- Strong technical expertise in software engineering, data analysis, and machine learning
- Proficiency in programming languages such as Python, Java, or Scala
- Experience in Tensorflow or PyTorch and working with various aspects of the ML lifecycle
- Expertise in developing data pipelines using tools like Apache Beam or Spark
- (Plus) Experience with any of the following - LLMs, Ray, Adtech, or Recommender Systems