Lead Machine Learning Engineer jobs in United States
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adMarketplace ยท 1 week ago

Lead Machine Learning Engineer

adMarketplace is committed to delivering engaging consumer search experiences and empowering advertisers. They are seeking an experienced Lead Machine Learning Engineer to develop and optimize advanced models for their ad-serving platform and search solutions, collaborating with various teams to enhance strategic initiatives.

Ad NetworkAdvertisingPublishingSearch Engine
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H1B Sponsor Likelynote

Responsibilities

Drive end-to-end lifecycle management of AI/ML projects from concept and data acquisition to prototyping, model development, deployment, and ongoing maintenance
Implement and champion best practices in MLOps, including data ingestion, model training pipelines, 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
Mentor junior team members in achieving engineering excellence and be a change agent on the team

Qualification

Machine LearningDeep LearningMLOpsPythonStatistical LearningFeature EngineeringCloud InfrastructureTensorFlowPyTorchCollaborationMentoringCommunication

Required

PhD with 5+ years of experience or MS with 5-8+ years of industry experience in AI/ML, developing and deploying production-level ML systems
Proven expertise in building AI/ML models in at least one of the following domains: Ads, relevance, ranking, recommendation systems, and search
Breadth and depth knowledge of statistical learning, machine learning, and deep learning
Experience in building distributed, low-latency, high-throughput batch and online ML services
Hands-on experience in deploying and maintaining ML pipelines in production, including feature engineering and model monitoring frameworks
Fluency in Python and proficiency with distributed frameworks (Spark, Hadoop), SQL, and cloud infrastructure
Experience with ML packages such as Tensorflow or PyTorch, scikit-learn, and Spark ML
Ability to operate efficiently in a high-paced, multi-functional, and rapidly evolving environment

Preferred

5+ years of experience in building ML models in the ads space or recommender systems
Experience in building CTR/CVR prediction, ad selection, keyword bidding, and Learning to Rank models
Experience in building and deploying online experimentation frameworks to identify right models and features at scale
Experience in building ad selection frameworks using reinforcement learning or contextual bandits
Experience in fine tuning LLMs or building them from scratch
Experience in building products using Generative AI powered autonomous agents

Benefits

Comprehensive healthcare
Wellness programs
Paid time off
Commuter benefits
401k matching
Summer Fridays
Catered lunches
A fully stocked kitchen
ZogSports teams
Happy hours
Corporate retreats

Company

adMarketplace

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adMarketplace is a search advertising marketplace that provides custom monetization solutions for digital publishers.

H1B Sponsorship

adMarketplace has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (10)
2023 (21)
2022 (20)
2021 (15)
2020 (12)

Funding

Current Stage
Growth Stage

Leadership Team

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Adam J. Epstein
Co-CEO and President
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James Hill
Chairman and Co-CEO
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Company data provided by crunchbase