Senior Machine Learning Engineer

Reposted Yesterday
New York, NY
170K-240K Annually
Senior level
AdTech • Digital Media • Marketing Tech • Other
adMarketplace delivers relevant search advertising to consumers on the open web who skip the SERP.
The Role
The Senior Machine Learning Engineer will manage AI/ML projects, develop models for ad-serving, collaborate with teams, and mentor juniors.
Summary Generated by Built In

Who We Are
At adMarketplace, our mission is to deliver the most engaging consumer search experiences while empowering advertisers to measure media performance accurately. Today, millions of people worldwide engage with our exclusive, transparent media placements across the internet's leading browsers, shopping apps, and review sites.
Our award-winning culture is built around five core values (known as our 5C's): Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness. With these guiding values, adMarketplace seeks to empower our team to reach their full potential through continued learning, and the opportunity to do their best work.
The Role
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 to enhance our ultra-low-latency ad-serving platform and consumer-facing search solutions. You will collaborate closely with product, data science, and business teams, significantly contributing to strategic initiatives such as 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.
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.


Basic Qualifications

  • 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.


*Compensation Range: $170,000 - $240,000
#LI-Onsite
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 Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance.
No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.
*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.

Top Skills

Cloud Services
Hadoop
Java
Python
PyTorch
Scikit-Learn
Spark
Spark Ml
SQL
TensorFlow

What the Team is Saying

Sarah
Michael
Ian
Claire
Mayla
Daniil
Helen
Lonnie
Steven
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The Company
HQ: New York, NY
173 Employees
On-site Workplace
Year Founded: 2000

What We Do

adMarketplace is the leader in search advertising on the open web. For over two decades, adMarketplace has delivered relevant search advertising to consumers who skip the legacy search engine results page.

The world's largest search advertisers drive measurably incremental results from adMarketplace's exclusive media opportunities across the internet's leading browsers, shopping apps, and editorial sites. Our mission is to shape the consumer journey with relevant search advertising and measure media value transparently across diverse moments of consumer intent.

Why Work With Us

At adMarketplace, the individual can make a difference. We all play an important part in company growth and continuous innovation. Our winning culture is built on our key values of Trust, Commitment, Collaboration, Curiosity, Accountability and Results.

We invest in our employees growth and well-being so they can be successful!

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adMarketplace Offices

OnSite Workspace

Currently, we are on-site 90% of the week.

Typical time on-site: None
HQNew York, NY
London, GB
Miami, FL
Learn more

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