Senior ML Engineer: Bidding Optimization & Production Systems

TripleLift; New York (NY); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Medical, Dental & Vision

Flexible PTO

401k match

Open PTO policy

Job summary

TripleLift is seeking a Data Scientist / Machine Learning Engineer to advance bidding algorithms and build scalable ML solutions that drive measurable outcomes for customers. You will partner with engineering, product, and business teams to test hypotheses, translate data-driven insights, and deliver impact in a fast-paced environment.

The role emphasizes large-scale data, production-grade ML systems, and collaboration across a range of technologies including Python, TensorFlow/PyTorch, and

Qualifications

• A degree in a technical or quantitative field is preferred. Candidates with relevant professional experience and degrees in other disciplines will also be considered.
• At least five years of professional experience in data science and/or machine learning within a collaborative work environment.
• At least two years of professional experience developing data science and machine learning models in a programmatic advertising environment.
• Strong foundation in statistical analysis, deep learning, and machine learning techniques.
• Hands-on experience with TensorFlow or PyTorch to prototype models for high-volume, distributed systems.
• Experience monitoring and measuring statistical model performance using tools such as Prometheus and Grafana, including building dashboards and alerts to identify performance issues and ensure models function effectively.

Responsibilities

• Design and run experiments to improve bidding algorithm performance and maximize outcomes for TripleLift’s customers.
• Apply statistical analysis and advanced analytics techniques to understand market dynamics and deliver actionable insights and recommendations.
• Develop, implement, and maintain scalable, production-ready machine learning pipelines and systems, applying best practices in ML engineering.
• Collaborate with engineering, product management, and business stakeholders to identify opportunities, solve challenges, and drive data-informed decisions.
• Monitor and evaluate deep learning and machine learning systems to ensure performance, reliability, and effectiveness in production environments.

Skills

Python

Statistical analysis

Deep learning

Independent work

Education

Bachelor's degree in a technical or quantitative field

5+ years data science / ML experience

Tools

TensorFlow

PyTorch

Spark

Airflow

Databricks

ONNX

Docker

Prometheus

Grafana

Job description

TripleLift is seeking a Data Scientist / Machine Learning Engineer to advance bidding algorithms and build scalable ML solutions that drive measurable outcomes for customers. You will partner with engineering, product, and business teams to test hypotheses, translate data-driven insights, and deliver impact in a fast-paced environment.

The role emphasizes large-scale data, production-grade ML systems, and collaboration across a range of technologies including Python, TensorFlow/PyTorch, and