Lead Machine Learning Engineer
Launch PotatoSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AdTech, Digital AdvertisingIndustries
Requirements
- 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 Qualifications
- 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
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
Skills
Machine Learning
Deep Learning
Reinforcement Learning
MLOps
Feature Engineering
Model Training
Data Ingestion
Predictive Modeling
Yield Optimization
Bidding
adMarketplace
Optimizes search media for advertisers and publishers
About adMarketplace
adMarketplace specializes in search media solutions within the advertising technology sector. The company connects consumers directly with brands, bypassing traditional search engine results pages to create a more relevant search experience. It serves two main client types: advertisers, which include large brands and agencies seeking to maximize their media investments, and publishers, which are platforms that host advertisements. adMarketplace provides exclusive media placements that reach users at critical moments of intent, enhancing the effectiveness of advertising campaigns. The company operates on a performance-based model, earning revenue through cost-per-click (CPC) or cost-per-action (CPA) methods, where advertisers pay based on the effectiveness of their ads. The goal of adMarketplace is to optimize the consumer journey and improve the efficiency of advertising for both brands and publishers.
New York City, New YorkHeadquarters
2000Year Founded
LATE_VCCompany Stage
Data & Analytics, Consumer Goods, EntertainmentIndustries
51-200Employees
Benefits
Health Insurance
Wellness Program
Unlimited Paid Time Off
Paid Vacation
Commuter Benefits
401(k) Company Match
Professional Development Budget
Hybrid Work Options
Company Equity
Risks
Emerging adtech startups threaten adMarketplace's market share.
Privacy-focused search engines may reduce adMarketplace's advertising effectiveness.
Stricter data privacy regulations could increase compliance costs for adMarketplace.
Differentiation
adMarketplace bypasses traditional SERPs, directly connecting consumers with brands.
The company offers exclusive media placements during critical moments of consumer intent.
adMarketplace uses a performance-based model, earning revenue from effective ad placements.
Upsides
Increased focus on privacy-centric advertising aligns with adMarketplace's offerings.
The rise of contextual advertising enhances adMarketplace's search media solutions.
Growing e-commerce platforms present partnership opportunities for adMarketplace.
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