Remote Senior Machine Learning Engineer (Low Latency)

Description:

• tvScientific is seeking a Senior Machine Learning Engineer with expertise in low-latency software and distributed systems to contribute to their Connected TV ad-buying platform.
• The role involves writing production code in Python, training, deploying, and managing new ML models for CTV ads, and enhancing the speed of ML inference at scale.
• Responsibilities include planning and designing new ML products for improved performance in connected TV advertising and serving as a technical lead and mentor to the team.
• The position offers the opportunity to work with a distributed engineering team and scale the Data Science practice from scratch.

Requirements:

• Proficiency in writing and reviewing production-level code in Python.
• Strong foundation in statistics and ML fundamentals.
• Experience in working with systems requiring low latency (<10 ms).
• Desire to work in a fast-growing Series A startup, embracing uncertainty, owning and scaling new products, and engaging in an experimental and iterative development process.
• Ideal candidates will have adtech or CTV experience, teaching experience, and familiarity with big data tools like Scala, Apache Spark, Apache Beam, and AWS Athena.
• Additionally, experience in systems programming with Zig is a plus.

Benefits:

• Full health, dental, and vision insurance coverage, with up to 95% funded by the company for employees.
• Employee stock option program available.
• Company-sponsored retirement plan with a matching contribution program.
• 12 annual paid holidays, including 2 flexible days.
• Generous PTO policy to ensure work-life balance.
• Remote-first work environment allowing flexibility to work from various locations in the US.
• Commitment to building an inclusive environment, encouraging individuals from all backgrounds to apply.