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Machine Learning Engineer

Salary

$125k - $165k

Min Experience

0 years

Location

remote

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

tvScientific is looking for a Machine Learning Engineer to join our growing team! You'll be working with a distributed engineering team on our Connected TV ad-buying platform, as we scale our Data Science practice. We're building data science tools for constructing ad campaigns from content to timing to scheduling to bid optimization. Our self-managed platform makes it easy to buy, optimize, and prove the value of TV advertising. In this role, you'll lead small project teams, provide direction, and keep stakeholders informed. You'll have the autonomy to determine key milestones and provide updates and check-ins to relevant teams and partners. What You'll Do Drive improvements in the speed and scalability of tvScientific's ML inference. Write and review production-level Python code to ensure quality and efficiency. Collaborate effectively within a talented team. How We'll Define Success Significant enhancements in the speed and efficiency of ML inference. High-quality production code contributing to platform stability and performance. Valuable contributions to team collaboration, fostering a productive and inclusive work environment. Consistent achievement of key project milestones and objectives. You'll Be Successful in This Role if You Have Proficiency in writing and reviewing production-level Python code. Deep understanding of statistics and its application in machine learning. Strong communication and writing skills. Desire to excel in a fast-paced Series B startup environment, embracing uncertainty and driving innovation through experimentation and iteration. You May Also Have Proficiency with big data technologies such as Scala, Apache Spark, Apache Beam, and AWS Athena Experience with experimental design and A/B testing methodologies Teaching experience Domain experience in adtech or connected TV Systems programming experience in Zig. MLOps / Kubernetes experience Previous work with bandit algorithms and reinforcement learning techniques Causal inference, conformal prediction, uncertainty quantification.

About the company

tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.

Skills

python
machine learning
statistics
communication
scala
apache spark
apache beam
aws athena
experimental design
a/b testing
adtech
connected tv
zig
mlops
kubernetes
bandit algorithms
reinforcement learning
causal inference
conformal prediction
uncertainty quantification