Senior Machine Learning Engineer

Who We Are:

At adMarketplace, we are passionate about improving the search experience for consumers, publishers, and advertisers without sacrificing user privacy. We are the largest people-led, privacy-safe consumer search marketplace.  

Our mantra is to let our winners run. From your first day at AMP, you will have the opportunity to make a valuable contribution to the company. We’re excited about building and innovating new products. We embody our five core values (known as our 5C’s) with everything we do- Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. We believe in continuous professional growth, and offer all our employees career path mapping to ensure no one ever stops learning. 

Growing Company. Small, Dynamic Teams. Real Impact.

The Role:

We are seeking an experienced machine learning generalist who can build and deploy machine learning models in the ultra low latent search ads ecosystem. As one of the founding members of our new ML organization, you will play a crucial role in optimizing our ad serving platform and will have a clear career progression path and numerous opportunities for both personal and professional growth in an intellectually stimulating and dynamic work environment.

What You'll Do:

• Manage the entire process of ML projects and solutions, from concept development to data acquisition, exploration, engineering, prototyping, and implementation 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 delivering 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 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.

Qualifications:

• A PhD with 2-3 years of experience or an MS with 3-5 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 at least one of the following domains: NLP, relevance, ranking, recommendation systems, and search.
• Experience in writing distributed, low-latency, high-throughput ML services.
• Knowledge of how to deploy and maintain ML services in a production environment.
• Experience in designing and deploying feature engineering pipelines.
• Deep expertise in 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 Qualifications:

• 5+ years of experience in building ML models in the ads space or search relevance.
• Experience in building CTR prediction, ad selection, 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.

*Compensation Range: $170,000 - $220,000 

#LI-Hybrid

Join Us: 

adMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!

We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow. 

At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either.   

We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers a dog friendly office, Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance. 

*This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.