Senior Machine Learning Engineer @ adMarketplace | Jobright.ai
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Senior Machine Learning Engineer jobs in New York, NYH1B Visa Sponsored Senior Machine Learning Engineer jobs in New York, NY
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adMarketplace ยท 5 days ago

Senior Machine Learning Engineer

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Responsibilities

Manage the entire process of AI/ML projects and solutions, from concept development to data acquisition, prototyping, model development, and deploying the model in production.
Create and implement procedures and tools to track and evaluate the performance and accuracy of models and data.
Provide thought leadership, subject matter expertise and serve as trusted advisor in machine learning, deep learning, and other state of the art AI techniques.
Experience in contributing to high quality software at scale in a low latency environment.
Translate research papers into high-quality, production-ready code.
Take responsibility and ownership of features and drive key model architectural decisions.
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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI/ML ModelsStatistical LearningDeep LearningDistributed SystemsFeature EngineeringModel MonitoringPythonJavaSparkHadoopSQLCloud ServicesTensorflowPyTorchScikit-LearnSpark MLML OpsContainersOrchestrationProblem-SolvingAdaptabilityMachine LearningRecommender SystemsCTR/CVR PredictionAd SelectionKeyword BiddingLearning to RankOnline ExperimentationReinforcement LearningContextual Bandits

Required

A PhD with 5 years of experience or an MS with 5-8 years of experience in a quantitative field with experience building production systems or have equivalent experience working with large ML projects in industry.
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.
Knowledge of how to deploy and maintain ML services in a production environment.
Experience in designing and deploying feature engineering pipelines in production.
Exposure to model monitoring and ML ops including containers and orchestration.
Fluency in one of the programming languages, preferably Python or Java.
Experience with Spark, Hadoop or other distributed frameworks, SQL, and cloud services.
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
Dog friendly office
Summer Fridays
Catered lunches
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
Trends of Total Sponsorships
2023 (19)
2022 (21)
2021 (14)
2020 (10)

Funding

Current Stage
Growth Stage

Leadership Team

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Adam J. Epstein
Co-CEO and President
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Michael E. Yudin
Chief Technology Officer
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Company data provided by crunchbase
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