Senior Machine Learning Engineer

adMarketplace; York and North Yorkshire; On-site; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Medical/Dental/Vision/FSA

Wellness Programs

Life/Disability Insurance

401k Matching

Employee Referral Bonus

Discounted Gym Membership

Tax-Free Commuter Benefits

Job summary

adMarketplace is seeking an experienced Senior Machine Learning Engineer to drive impactful AI in our search and advertising technology platform. You will contribute to ultra-low-latency ad serving and consumer search solutions, collaborating with product and engineering teams to optimize relevancy, yield, and bidding performance.

You will own end-to-end ML projects, implement robust MLOps, and translate research into production-ready code while maintaining high-quality software and scalable

Qualifications

• 2+ years of AI/ML model building in ads, relevance, ranking, or search.
• 3+ years of Python and distributed frameworks (Spark, Hadoop).
• 5+ years of building ML models for ads, search and/or recommender systems including CTR/CVR prediction, ad selection, keyword bidding.

Responsibilities

• Drive end-to-end lifecycle management of AI/ML projects from concept to deployment.
• Implement and champion MLOps practices: data collection, training pipelines, monitoring and QA.
• Contribute to model architecture decisions using state-of-the-art ML and RL techniques.
• Develop robust feature pipelines and ML services for low latency and high throughput.
• Establish and run A/B testing and experimentation to improve model performance.

Skills

Python

ML pipelines

Distributed frameworks

MLOps

Reinforcement learning

LLMs

Ad tech experience

Low-latency systems

Education

PhD in AI/ML

MS in AI/ML

Tools

TensorFlow

PyTorch

Spark ML

scikit-learn

Job description

• We are seeking an experienced Senior Machine Learning Engineer passionate about building impactful products in the search and advertising technology ecosystem
• As part of our established AI/ML and Search organization, you will be instrumental in developing and optimizing advanced models and applications to enhance our ultra-low-latency ad-serving platform and consumer-facing search solutions
• You will collaborate closely with product, business, and other engineering teams, making significant contributions to strategic initiatives such as relevancy & yield optimization, predictive modeling, and improved bidding performance
• You will have a clear career progression path and numerous opportunities for both personal and professional growth in an intellectually stimulating and dynamic work environment
• Drive end-to-end lifecycle management of AI/ML projects from concept and data acquisition to prototyping, model development, deployment, optimization and ongoing maintenance
• Implement and champion best practices in MLOps, including data collection, model training pipelines, model deployments, monitoring, alerting, and QA to ensure model reliability and performance
• Contribute significantly to model architecture decisions, leveraging state-of-the-art machine learning, deep learning, and reinforcement learning techniques
• Develop and deploy robust feature engineering pipelines and ML services optimized for low latency and high throughput
• Establish and utilize robust A/B testing and experimentation frameworks to evaluate and iteratively improve model performance
• Translate research papers into high-quality, production-ready code
• Communicate effectively, collaborate, and build long-term relationships across the organization

Benefits

• Medical/Dental/Vision/FSA
• Wellness Programs & Social Events
• Life/Disability Insurance
• Matching 401k
• Employee Referral Bonus Program
• Discounted Gym Membership
• Tax-Free Commuter Benefits

2+ years of experience in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and search2+ years of experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML2+ years of experience in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure3+ years of experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworksAbility to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment3+ years of experience in building distributed, low-latency, high-throughput batch and online ML servicesPhD with 3+ years of experience or MS with 3-5+ years of industry experience in AI/ML, developing and deploying production-grade ML systems1+ years of experience in building products using Generative AI powered autonomous agentsExperience in fine tuning LLMs2+ years of experience in building ad selection frameworks using reinforcement learning or contextual bandits5+ years of experience in building ML models for ads, search and/or recommender systems including CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models2+ years of experience in building and deploying online experimentation frameworks to identify right models and features at scale